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She H, Qu Y. Cardiovascular Plasticity and Adaptation of High-Altitude Birds and Mammals. Integr Zool 2025. [PMID: 40400082 DOI: 10.1111/1749-4877.12996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Revised: 02/28/2025] [Accepted: 04/05/2025] [Indexed: 05/23/2025]
Abstract
Exposure to a hypoxic environment at high altitudes imposes severe pressure on animals living there, which utilize substantial cardiovascular and respiratory responses to meet the physiological challenge of oxygen requirement. These responses may result from phenotypic plasticity through short-term exposure (i.e., within a generation) to a new environment or shaped by adaptation (i.e., many generations) through long-term evolution. For example, plasticity triggers a sympathetic-mediated adrenergic response, resulting in an elevation of heart rate and hypoxia-induced pulmonary vasoconstriction that eventually contributes to pulmonary hypertension in some animals. Adaptation to high altitudes can drive an increase in muscular capillarization and adaptive cardiac growth, which promote oxygen diffusion and transportation. Exposure to a high-altitude hypoxic environment stimulates excessive erythropoiesis, which has maladaptive effects and contributes to chronic mountain sickness. Maladaptation caused by plasticity at early stages can be reversed during adaptation. Despite extensive research on high-altitude adaptation, the phenotypic changes and genetic variations in cardiovascular systems responding to high-altitude hypoxia remain insufficiently integrated across taxa. While genomic and transcriptomic studies have advanced our understanding, a cross-taxa comparison of cardiovascular adaptations is still incomplete. We here review recent literature on phenotypic plasticity, adaptations, and genetic and transcriptional basis of cardiovascular systems of mammals and birds living in high altitudes with respect to their duration of exposure at high altitudes. By integrating and comparing data across mammalian and avian species, we aim to provide a framework for understanding the plasticity and adaptation of the cardiovascular system in high-altitude environments.
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Affiliation(s)
- Huishang She
- Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yanhua Qu
- Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
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2
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Tang L, Zhu L, Basang Z, Zhao Y, Li S, Kong X, Gou X. Transcriptomic Profiling of Hypoxia-Adaptive Responses in Tibetan Goat Fibroblasts. Animals (Basel) 2025; 15:1407. [PMID: 40427283 PMCID: PMC12108510 DOI: 10.3390/ani15101407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2025] [Revised: 04/29/2025] [Accepted: 05/07/2025] [Indexed: 05/29/2025] Open
Abstract
The Tibetan goat (Capra hircus) exhibits remarkable adaptations to high-altitude hypoxia, yet the molecular mechanisms remain unclear. This study integrates RNA-seq, WGCNA, and machine learning to explore gene-environment interactions (G × E) in hypoxia adaptation. Fibroblasts from the Tibetan goat and Yunling goat were cultured under hypoxic (1% O2) and normoxic (21% O2) conditions, respectively. This identified 68 breed-specific (G), 100 oxygen-responsive (E), and 620 interaction-driven (I) Differentially Expressed Genes (DEGs). The notably higher number of interaction-driven DEGs compared to other effects highlights transcriptional plasticity. We defined two gene sets: Environmental Stress Genes (n = 632, E ∪ I) and Genetic Adaptation Genes (n = 659, G ∪ I). The former were significantly enriched in pathways related to oxidative stress defense and metabolic adaptation, while the latter showed prominent enrichment in pathways associated with vascular remodeling and transcriptional regulation. CTNNB1 emerged as a key regulatory factor in both gene sets, interacting with CASP3 and MMP2 to form the core of the protein-protein interaction (PPI) network. Machine learning identified MAP3K5, TGFBR2, RSPO1 and ITGB5 as critical genes. WGCNA identified key modules in hypoxia adaptation, where FOXO3, HEXIM1, and PPARD promote the stabilization of HIF-1α and metabolic adaptation through the HIF-1 signaling pathway and glycolysis. These findings underscore the pivotal role of gene-environment interactions in hypoxic adaptation, offering novel perspectives for both livestock breeding programs and biomedical research initiatives.
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Affiliation(s)
- Lin Tang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; zero-- (L.T.); (L.Z.)
- College of Animal Science, Xichang University, Xichang 615000, China
| | - Li Zhu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; zero-- (L.T.); (L.Z.)
| | - Zhuzha Basang
- Institute of Animal Husbandry and Veterinary Science, Xizang Autonomous Region Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850009, China;
| | - Yunong Zhao
- School of Animal Science and Technology, Foshan University, Foshan 528231, China; (Y.Z.); (S.L.)
| | - Shanshan Li
- School of Animal Science and Technology, Foshan University, Foshan 528231, China; (Y.Z.); (S.L.)
| | - Xiaoyan Kong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; zero-- (L.T.); (L.Z.)
| | - Xiao Gou
- School of Animal Science and Technology, Foshan University, Foshan 528231, China; (Y.Z.); (S.L.)
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Li Y, Li J, Duan H, Sun A, Hu R, Gao S, Zhang B, Huang B, Lei C, Yi K. Whole Genome Insights into Genetic Diversity, Introgression, and Adaptation of Hunan Cattle. Animals (Basel) 2025; 15:1287. [PMID: 40362106 PMCID: PMC12071150 DOI: 10.3390/ani15091287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2025] [Revised: 04/18/2025] [Accepted: 04/29/2025] [Indexed: 05/15/2025] Open
Abstract
Hunan Province, located in Central-South China, has a hot and humid climate, which has shaped the unique characteristics of its cattle. In this study, we analyzed the genomic diversity of 110 indigenous Hunan cattle using whole-genome sequencing and found that they have a mixed ancestry of indicine and taurine. By grouping the cattle based on their collection regions (western, central, southeastern, and southern Hunan), we used an unsupervised three-component Gaussian model to classify the runs of homozygosity (ROH) and calculated the genomic inbreeding coefficient based on runs of homozygosity (FROH) to assess inbreeding levels. The results showed that western Hunan cattle had the highest level of hybridization, while southern Hunan cattle had the lowest. Through selective sweep analysis, we identified candidate genes and pathways related to environmental adaptation and homeostasis. Notably, the SLC5A2 gene showed strong selection signals across all four regions and exhibited a distinct haplotype compared to other referenced cattle breeds. Additionally, we detected introgression from wild species into Hunan domestic cattle and analyzed their Y-chromosome haplotypes.
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Affiliation(s)
- Yushan Li
- Hunan Institute of Animal and Veterinary Science, Changsha 410130, China; (Y.L.); (J.L.); (H.D.); (A.S.); (R.H.); (S.G.); (B.Z.)
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Jianbo Li
- Hunan Institute of Animal and Veterinary Science, Changsha 410130, China; (Y.L.); (J.L.); (H.D.); (A.S.); (R.H.); (S.G.); (B.Z.)
| | - Hongfeng Duan
- Hunan Institute of Animal and Veterinary Science, Changsha 410130, China; (Y.L.); (J.L.); (H.D.); (A.S.); (R.H.); (S.G.); (B.Z.)
| | - Ao Sun
- Hunan Institute of Animal and Veterinary Science, Changsha 410130, China; (Y.L.); (J.L.); (H.D.); (A.S.); (R.H.); (S.G.); (B.Z.)
| | - Renke Hu
- Hunan Institute of Animal and Veterinary Science, Changsha 410130, China; (Y.L.); (J.L.); (H.D.); (A.S.); (R.H.); (S.G.); (B.Z.)
| | - Shuai Gao
- Hunan Institute of Animal and Veterinary Science, Changsha 410130, China; (Y.L.); (J.L.); (H.D.); (A.S.); (R.H.); (S.G.); (B.Z.)
| | - Baizhong Zhang
- Hunan Institute of Animal and Veterinary Science, Changsha 410130, China; (Y.L.); (J.L.); (H.D.); (A.S.); (R.H.); (S.G.); (B.Z.)
| | - Bizhi Huang
- Yunan Academy of Grassland and Animal Science, Kunming 650212, China;
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Kangle Yi
- Hunan Institute of Animal and Veterinary Science, Changsha 410130, China; (Y.L.); (J.L.); (H.D.); (A.S.); (R.H.); (S.G.); (B.Z.)
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Shi L, Zhang P, Yu B, Liu Q, Liu C, Lu W, Cheng L, Chen H. Whole-Genome Sequencing Reveals the Role of Cis-Regulatory Elements and eQTL/sQTL in the Adaptive Selection of Hubei Indigenous Cattle. Animals (Basel) 2025; 15:1301. [PMID: 40362117 PMCID: PMC12071175 DOI: 10.3390/ani15091301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2025] [Revised: 04/22/2025] [Accepted: 04/29/2025] [Indexed: 05/15/2025] Open
Abstract
Hubei indigenous cattle have adapted to diverse environmental conditions, exhibiting unique genetic traits associated with both economic and adaptive characteristics. Understanding their adaptive selection offers insight into their evolutionary history and genetic enhancements. In this study, we analyzed whole-genome sequencing (WGS) data from five Hubei indigenous cattle breeds to identify selection signals. Selective sweep analysis revealed the candidate genes (USH2A, TMTC2, ABCC12, and SUGT1) associated with sensory perception, backfat thickness, reproduction, and immune function. The further integration of cis-regulatory elements (CREs) and expression quantitative trait loci (eQTL) highlighted regulatory variants, influencing adaptive traits. Notably, positively selected genes such as RPS6KA2, CRLS1, MGST3, GPCPD1, and LDLRAP1 were associated with lipid metabolism, meat quality, and reproductive traits, influencing aldehyde volatile organic compounds (VOCs) and fat deposition. These findings highlight the understanding of the genetic basis of adaptation and production traits in Hubei indigenous cattle and provide valuable insights for their conservation and potential breeding strategies.
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Affiliation(s)
- Liangyu Shi
- Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Wuhan 430023, China; (L.S.); (P.Z.); (B.Y.); (Q.L.)
| | - Pu Zhang
- Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Wuhan 430023, China; (L.S.); (P.Z.); (B.Y.); (Q.L.)
| | - Bo Yu
- Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Wuhan 430023, China; (L.S.); (P.Z.); (B.Y.); (Q.L.)
| | - Qing Liu
- Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Wuhan 430023, China; (L.S.); (P.Z.); (B.Y.); (Q.L.)
| | - Chenhui Liu
- Institute of Animal Science and Veterinary Medicine, Wuhan Academy of Agricultural Sciences, Wuhan 430208, China;
| | - Wei Lu
- Hubei Cereals, Oils and Foodstuffs lmport and Export Group Co., Ltd., Wuhan 430015, China;
| | - Lei Cheng
- Institute of Animal Science and Veterinary Medicine, Wuhan Academy of Agricultural Sciences, Wuhan 430208, China;
| | - Hongbo Chen
- Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Wuhan 430023, China; (L.S.); (P.Z.); (B.Y.); (Q.L.)
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Kosovsky GY, Glazko GV, Skobel OI. Bos taurus and Bison bison conservative retrotransposon recombination products. Front Vet Sci 2025; 12:1516731. [PMID: 40370818 PMCID: PMC12075945 DOI: 10.3389/fvets.2025.1516731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2024] [Accepted: 04/07/2025] [Indexed: 05/16/2025] Open
Abstract
Background Without identifying and studying the genomic characteristics associated with domestication, managing farm animal genetic resources becomes overwhelmingly difficult. Accumulated data confirm that mobile genetic elements participate in the domestication process and, in particular, generate widely abundant microRNAs. Methods The recombination products were compared in silico between the long interspersed nuclear element (LINE) and the endogenous retrovirus (ERV), forming the LINE/ERV/LINE sequence, located in a closely linked conserved block of 12 genes, as well as the microRNAs formed by these recombination products in domesticated-wild pairs of mammals. For this comparison, the reference genomes of domesticated cattle (Bos taurus) and its closely related wild species counterpart, bison (Bison bison), were used. Results It was found that the above-noted highly conserved recombination products (with more than 81.5% identity) were present in the corresponding block of 12 genes in bison. These recombination products served as sources of 51 microRNAs in bison and 129 microRNAs in cattle, including 50 microRNAs that were similar in both species. A total of 79 microRNAs were found only in cattle trinomial recombination products, with 98% belonging to the mir-30 family, including the cattle-specific bta-miR-30a-5p and bta-miR-30e-5p. The mir-30 family is closely associated with biological processes influencing the quantity and quality of agricultural products. Conclusion Trinomial retrotransposon recombination products were fixed in both the cattle genome and the genome of its closely related wild species, the bison. It was found that these products may be involved in the response to intensive artificial selection and the domestication process since interspecific differentiation of microRNAs is associated with regulatory networks that have a significant impact on the formation of economically important traits.
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Affiliation(s)
- Gleb Yu. Kosovsky
- Department of Biotechnology, Afanas‘ev Research Institute of Fur-Bearing Animal Breeding and Rabbit Breeding, Moscow, Russia
| | - Galina V. Glazko
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Olga I. Skobel
- Department of Biotechnology, Afanas‘ev Research Institute of Fur-Bearing Animal Breeding and Rabbit Breeding, Moscow, Russia
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Poutougnigni Matenchi Y, Hegarty M. Genomic diversity of Cameroonian Gudali and Gudali-cross cattle. Sci Rep 2025; 15:15066. [PMID: 40301666 PMCID: PMC12041558 DOI: 10.1038/s41598-025-99799-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2024] [Accepted: 04/23/2025] [Indexed: 05/01/2025] Open
Abstract
Information on population structure and diversity in cattle breeds is critical for understanding environmental adaptation, as well as optimal utilisation of genetic resources and breed improvement. In this study, we investigated at the genomic level the population structure, genetic diversity and admixture of the local Gudali breed and its crossbred with the Italian Simmental (Simgud) in three agroecological zones of Cameroon. A total of 717 Gudali and 139 Simgud were genotyped using the GeneSeek® Genomic ProfilerTM (GGP) Bovine 100K array and analyzed together with reference breed data from public databases. Principal component (PCA) and admixture analysis separated European Bos taurus from Asian Bos indicus, African Bos taurus and African Bos indicus breeds. These analyses showed that, except for recently admixed cattle, all African indigenous breeds are either pure African Bos taurus (N'dama) or admixtures of African Bos taurus and Bos indicus. Analysis revealed an ancient admixture from Asian origin in Gudali and a more recent and ongoing European introgression. Simgud is an unmanaged crossbreed expected to be primarily a 50% admixture of Gudali and Simmental. We show here that Simgud is, in actuality, composed of two genetic groups representing admixture of between ∼25% to ∼50% Simmental proportion. Diversity analysis revealed high average heterozygosity ([Formula: see text], [Formula: see text]) for the Gudali and ([Formula: see text] , [Formula: see text]) for Simgud respectively. Inbreeding measures based on the mean FIS coefficient were 0.03 for Gudali and 0.07 for Simgud. A general decline in effective population size was observed in Gudali from a large population (Ne=2475), 959 generations (4797 years ago), back to 13 generations (65 years) (Ne=1404) ago. These results were expected, given the breeding efforts that began in 1952 with the introduction of various exotic (imported taurine) breeds and the Gudali selection initiative. This has affected the effective population size of Gudali, despite the general increase in cattle population in the ranches over that period. These results highlight the need for a structured breeding program in Cameroon for improving productivity, while maintaining a large genetic base of the pure Gudali population.
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Affiliation(s)
| | - Matthew Hegarty
- Department of Life Sciences, Aberystwyth University, Penglais Campus, Aberystwyth, Ceredigion, SY23 3FL, UK
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Su L, Ding L, Williams PH, Liu Y, Wang R, Dai X, Zhao S, Fu H, Zhao X, Wang Q, Li Y, Sang H, Waterhouse RM, Zhai Y, Sun C. Genetic differentiation and adaptive evolution of buff-tailed bumblebees in Asia. INSECT SCIENCE 2025. [PMID: 40287856 DOI: 10.1111/1744-7917.70050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2024] [Revised: 03/08/2025] [Accepted: 03/11/2025] [Indexed: 04/29/2025]
Abstract
Bumblebees are important pollinating insects, so their declines resulting from environmental change have received intensive attention. Understanding how environmental factors shape the genetic structure of natural populations and identifying the genetic basis of local adaptation will provide insights into how bumblebees cope with environmental change. The buff-tailed bumblebee (Bombus terrestris) has a wide natural distribution range and has been domesticated to produce commercial colonies for greenhouse pollination. Previous population genetics studies on B. terrestris have mainly focused on its European populations; however, its Asian populations, representing the eastern side of its natural distribution, remain largely unsampled. To fill this gap, we collected wild B. terrestris samples from Asia, as well as wild B. terrestris samples from Europe and samples from domesticated colonies. We conducted whole-genome resequencing for 77 collected B. terrestris and performed population genomics analysis. Our results indicate that distinct genetic differentiation (FST = 0.076) exists between B. terrestris in Europe and Asia, with substantial morphological and physiological differences detected between them; B. terrestris in Asia should represent a distinct genetic resource. Demographic analysis suggests that the effective population size of B. terrestris has increased during historic cold periods, indicating their cold-adapted characteristics. Selective sweep analysis identified 331 genes under selection in the genomes of Asian B. terrestris, likely involved in their adaptation to the high ultraviolet radiation, low temperature and low precipitation of their habitats. Our research provides insights into the population genetic structure and genetic basis of local adaptation in the buff-tailed bumblebee, which will be useful for its conservation and management.
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Affiliation(s)
- Long Su
- Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, China
- Key Laboratory of Natural Enemies Insects, Ministry of Agriculture and Rural Affairs of People's Republic of China, China
| | - Lele Ding
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - Paul H Williams
- Department of Life Sciences, Natural History Museum, London, UK
| | - Yan Liu
- Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, China
- Key Laboratory of Natural Enemies Insects, Ministry of Agriculture and Rural Affairs of People's Republic of China, China
| | - Ruijuan Wang
- Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, China
- Key Laboratory of Natural Enemies Insects, Ministry of Agriculture and Rural Affairs of People's Republic of China, China
| | - Xiaoyan Dai
- Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, China
- Key Laboratory of Natural Enemies Insects, Ministry of Agriculture and Rural Affairs of People's Republic of China, China
| | - Shan Zhao
- Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, China
- Key Laboratory of Natural Enemies Insects, Ministry of Agriculture and Rural Affairs of People's Republic of China, China
| | - Haolin Fu
- Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, China
- Key Laboratory of Natural Enemies Insects, Ministry of Agriculture and Rural Affairs of People's Republic of China, China
| | - Xiaomeng Zhao
- College of Animal Science, Shanxi Agricultural University, Taigu, Shanxi, China
| | | | - Yancan Li
- Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Huiling Sang
- School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand
| | - Robert M Waterhouse
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Yifan Zhai
- Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, China
- Key Laboratory of Natural Enemies Insects, Ministry of Agriculture and Rural Affairs of People's Republic of China, China
| | - Cheng Sun
- College of Life Sciences, Capital Normal University, Beijing, China
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Xu S, Akhatayeva Z, Liu J, Feng X, Yu Y, Badaoui B, Esmailizadeh A, Kantanen J, Amills M, Lenstra JA, Johansson AM, Coltman DW, Liu GE, Curik I, Orozco-terWengel P, Paiva SR, Zinovieva NA, Zhang L, Yang J, Liu Z, Wang Y, Yu Y, Li M. Genetic advancements and future directions in ruminant livestock breeding: from reference genomes to multiomics innovations. SCIENCE CHINA. LIFE SCIENCES 2025; 68:934-960. [PMID: 39609363 DOI: 10.1007/s11427-024-2744-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Accepted: 09/24/2024] [Indexed: 11/30/2024]
Abstract
Ruminant livestock provide a rich source of products, such as meat, milk, and wool, and play a critical role in global food security and nutrition. Over the past few decades, genomic studies of ruminant livestock have provided valuable insights into their domestication and the genetic basis of economically important traits, facilitating the breeding of elite varieties. In this review, we summarize the main advancements for domestic ruminants in reference genome assemblies, population genomics, and the identification of functional genes or variants for phenotypic traits. These traits include meat and carcass quality, reproduction, milk production, feed efficiency, wool and cashmere yield, horn development, tail type, coat color, environmental adaptation, and disease resistance. Functional genomic research is entering a new era with the advancements of graphical pangenomics and telomere-to-telomere (T2T) gap-free genome assembly. These advancements promise to improve our understanding of domestication and the molecular mechanisms underlying economically important traits in ruminant livestock. Finally, we provide new perspectives and future directions for genomic research on ruminant genomes. We suggest how ever-increasing multiomics datasets will facilitate future studies and molecular breeding in livestock, including the potential to uncover novel genetic mechanisms underlying phenotypic traits, to enable more accurate genomic prediction models, and to accelerate genetic improvement programs.
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Affiliation(s)
- Songsong Xu
- Frontiers Science Center for Molecular Design Breeding (MOE); State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Zhanerke Akhatayeva
- Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, 010010, China
| | - Jiaxin Liu
- Frontiers Science Center for Molecular Design Breeding (MOE); State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Xueyan Feng
- Frontiers Science Center for Molecular Design Breeding (MOE); State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Yi Yu
- Frontiers Science Center for Molecular Design Breeding (MOE); State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Bouabid Badaoui
- Laboratory of Biodiversity, Ecology and Genome, Department of Biology, Faculty of Sciences Rabat, Mohammed V University, Rabat, 10106, Morocco
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, 76169-133, Iran
| | - Juha Kantanen
- Production Systems, Natural Resources Institute Finland (Luke), Jokioinen, FI-31600, Finland
| | - Marcel Amills
- Department of Animal Genetics, Center for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus de la Universitat Autónoma de Barcelona, Bellaterra, 08193, Spain
- Departament de Ciència Animal i dels Aliments, Universitat Autónoma de Barcelona, Bellaterra, 08193, Spain
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, 3584, The Netherlands
| | - Anna M Johansson
- Department of Animal Breeding and Genetics, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, 75007, Sweden
| | - David W Coltman
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, T6G 2E9, Canada
- Department of Biology, Western University, London, Ontario, N6A 5B7, Canada
| | - George E Liu
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, MD, 20705, USA
| | - Ino Curik
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Zagreb, 10000, Croatia
- Institute of Animal Sciences, Hungarian University of Agriculture and Life Sciences (MATE), Kaposvár, 7400, Hungary
| | | | - Samuel R Paiva
- Embrapa Genetic Resources and Biotechnology, Laboratory of Animal Genetics, Brasília, Federal District, 70770917, Brazil
| | - Natalia A Zinovieva
- L.K. Ernst Federal Science Center for Animal Husbandry, Moscow Region, Podolsk, 142132, Russian Federation
| | - Linwei Zhang
- Department of Neurology, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Ji Yang
- Frontiers Science Center for Molecular Design Breeding (MOE); State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Zhihong Liu
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Yachun Wang
- Frontiers Science Center for Molecular Design Breeding (MOE); State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Ying Yu
- Frontiers Science Center for Molecular Design Breeding (MOE); State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Menghua Li
- Frontiers Science Center for Molecular Design Breeding (MOE); State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
- Sanya Institute of China Agricultural University, Sanya, 572024, China.
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Guan X, Xiang W, Qu K, Ahmed Z, Liu J, Cai M, Zhang J, Chen N, Lei C, Huang B. Whole genome insights into genetic diversity, introgression, and adaptation of Yunnan indigenous cattle of Southwestern China. BMC Genomics 2025; 26:216. [PMID: 40038604 PMCID: PMC11881512 DOI: 10.1186/s12864-024-11033-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 11/12/2024] [Indexed: 03/06/2025] Open
Abstract
BACKGROUND Yunnan Province, located in Southwestern China, the intricate geography, variable climate, and abundant vegetation of the region have collectively contributed to shaping the distinctive germplasm characteristics observed in Yunnan indigenous cattle through prolonged domestication. The different breeds of Yunnan cattle exhibit distinct advantageous characteristics and traits, which are an important source of genetic variation because they might carry alleles that enable them to adapt to local environment and tough feeding conditions. However, a comprehensive genomic landscape of genetic resources has yet to be delineated. RESULTS Herein, we employed 140 whole-genome sequencing data from Yunnan indigenous cattle across eight breeds to elucidate their genetic diversity and population structure. Utilizing both uniparental and biparental markers, we elucidated the intricate genetic composition of Yunnan indigenous cattle, which is closely correlated with the geographic environment. A predominant East Asian indicine ancestry which gradually diminishes towards the north. The analysis revealed a high genetic diversity among populations and a low-to-moderate inbreeding coefficient, underscoring the rich genetic reservoir of Yunnan cattle breeds. Additionally, gene flow between Yunnan indicine and wild Bos species in and around Yunnan was verified, highlighting localized introgression from Yunnan Gayal as a critical factor in the successful adaptation of Yunnan indicine cattle to the local hot and humid environments. CONCLUSIONS Our findings established the SNPs database for facilitating resource conservation and selective breeding. Moreover, these valuable insights into the genomic diversity and adaptive history of Yunnan indigenous cattle breeds contribute significantly to our understanding of their evolutionary dynamics and offer a foundation for future genetic improvement and conservation strategies.
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Affiliation(s)
- Xiwen Guan
- Yunnan Academy of Grassland and Animal Science, Kunming, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Weixuan Xiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Kaixing Qu
- Chuxiong Normal University, Chuxiong, China
| | - Zulfiqar Ahmed
- Department of Livestock and Poultry Production, Faculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Azad Jammu and Kashmir, Pakistan
| | - Jianyong Liu
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Ming Cai
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China.
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China.
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10
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Zhang C, Nielsen R, Mirarab S. CASTER: Direct species tree inference from whole-genome alignments. Science 2025; 387:eadk9688. [PMID: 39847611 PMCID: PMC12038793 DOI: 10.1126/science.adk9688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 08/05/2024] [Accepted: 12/04/2024] [Indexed: 01/25/2025]
Abstract
Genomes contain mosaics of discordant evolutionary histories, challenging the accurate inference of the tree of life. Although genome-wide data are routinely used for discordance-aware phylogenomic analyses, because of modeling and scalability limitations, the current practice leaves out large chunks of genomes. As more high-quality genomes become available, we urgently need discordance-aware methods to infer the tree directly from a multiple genome alignment. In this study, we introduce Coalescence-Aware Alignment-Based Species Tree Estimator (CASTER), a theoretically justified site-based method that eliminates the need to predefine recombination-free loci. CASTER is scalable to hundreds of mammalian whole genomes. We demonstrate the accuracy and scalability of CASTER in simulations that include recombination and apply CASTER to several biological datasets, showing that its per-site scores can reveal both biological and artifactual patterns of discordance across the genome.
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Affiliation(s)
- Chao Zhang
- Bioinformatics and Systems Biology, University of
California San Diego, 9500 Gilman Drive, La Jolla, 92093, CA, USA
- Integrative Biology Department, University of California
Berkeley, 110 Sproul Hall, Berkeley, 94704, CA, USA
- Globe Institute, University of Copenhagen, Øster
Voldgade 5-7, Copenhagen, 1350, Denmark
| | - Rasmus Nielsen
- Integrative Biology Department, University of California
Berkeley, 110 Sproul Hall, Berkeley, 94704, CA, USA
- Globe Institute, University of Copenhagen, Øster
Voldgade 5-7, Copenhagen, 1350, Denmark
| | - Siavash Mirarab
- Electrical and Computer Engineering, University of
California San Diego, 9500 Gilman Drive, La Jolla, 92093, CA, USA
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11
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Azam S, Sahu A, Pandey NK, Neupane M, Van Tassell CP, Rosen BD, Gandham RK, Rath SN, Majumdar SS. Advancing the Indian cattle pangenome: characterizing non-reference sequences in Bos indicus. J Anim Sci Biotechnol 2025; 16:21. [PMID: 39915889 PMCID: PMC11804092 DOI: 10.1186/s40104-024-01133-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 11/26/2024] [Indexed: 02/09/2025] Open
Abstract
BACKGROUND India harbors the world's largest cattle population, encompassing over 50 distinct Bos indicus breeds. This rich genetic diversity underscores the inadequacy of a single reference genome to fully capture the genomic landscape of Indian cattle. To comprehensively characterize the genomic variation within Bos indicus and, specifically, dairy breeds, we aim to identify non-reference sequences and construct a comprehensive pangenome. RESULTS Five representative genomes of prominent dairy breeds, including Gir, Kankrej, Tharparkar, Sahiwal, and Red Sindhi, were sequenced using 10X Genomics 'linked-read' technology. Assemblies generated from these linked-reads ranged from 2.70 Gb to 2.77 Gb, comparable to the Bos indicus Brahman reference genome. A pangenome of Bos indicus cattle was constructed by comparing the newly assembled genomes with the reference using alignment and graph-based methods, revealing 8 Mb and 17.7 Mb of novel sequence respectively. A confident set of 6,844 Non-reference Unique Insertions (NUIs) spanning 7.57 Mb was identified through both methods, representing the pangenome of Indian Bos indicus breeds. Comparative analysis with previously published pangenomes unveiled 2.8 Mb (37%) commonality with the Chinese indicine pangenome and only 1% commonality with the Bos taurus pangenome. Among these, 2,312 NUIs encompassing ~ 2 Mb, were commonly found in 98 samples of the 5 breeds and designated as Bos indicus Common Insertions (BICIs) in the population. Furthermore, 926 BICIs were identified within 682 protein-coding genes, 54 long non-coding RNAs (lncRNA), and 18 pseudogenes. These protein-coding genes were enriched for functions such as chemical synaptic transmission, cell junction organization, cell-cell adhesion, and cell morphogenesis. The protein-coding genes were found in various prominent quantitative trait locus (QTL) regions, suggesting potential roles of BICIs in traits related to milk production, reproduction, exterior, health, meat, and carcass. Notably, 63.21% of the bases within the BICIs call set contained interspersed repeats, predominantly Long Interspersed Nuclear Elements (LINEs). Additionally, 70.28% of BICIs are shared with other domesticated and wild species, highlighting their evolutionary significance. CONCLUSIONS This is the first report unveiling a robust set of NUIs defining the pangenome of Bos indicus breeds of India. The analyses contribute valuable insights into the genomic landscape of desi cattle breeds.
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Affiliation(s)
- Sarwar Azam
- National Institute of Animal Biotechnology, Hyderabad, India
- Indian Institute of Technology Hyderabad, Sangareddy, India
| | - Abhisek Sahu
- National Institute of Animal Biotechnology, Hyderabad, India
| | | | - Mahesh Neupane
- Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, 20705, USA
| | - Curtis P Van Tassell
- Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, 20705, USA
| | - Benjamin D Rosen
- Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, 20705, USA.
| | - Ravi Kumar Gandham
- National Institute of Animal Biotechnology, Hyderabad, India.
- Animal Biotechnology, ICAR-NBAGR, Karnal, Haryana, India.
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12
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Wan RD, Gao X, Wang GW, Wu SX, Yang QL, Zhang YW, Yang QE. Identification of candidate genes related to hybrid sterility by genomic structural variation and transcriptome analyses in cattle-yak. J Dairy Sci 2025; 108:679-693. [PMID: 39414017 DOI: 10.3168/jds.2024-24770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 09/24/2024] [Indexed: 10/18/2024]
Abstract
Hybrids between closely related but genetically incompatible species are often inviable or sterile. Cattle-yak, an interspecific hybrid of yak and cattle, exhibits male-specific sterility, which limits the fixation of its desired traits and prevents genetic improvement in yak through crossbreeding. Transcriptome profiles of testicular tissues have been generated in cattle, yak, and cattle-yak; however, the genetic variations underlying differential gene expression associated with hybrid sterility have yet to be elucidated. We detected differences in the cellular composition and gene expression of testes from yak and cattle-yak at 3 mo of age, 10 mo of age, and adulthood. Histological analysis revealed that the most advanced germ cells were gonocytes (prospermatogonia) at 3 mo and spermatocytes at 10 mo. Complete spermatogenesis occurred in the seminiferous tubules of adult yak, whereas only spermatogonia and a limited number of spermatocytes were detected in the testis of adult cattle-yak. Transcriptome analysis revealed 180, 6,310, and 6,112 differentially expressed genes (DEG) in yak and cattle-yak at each stage, respectively. Next, we examined the spermatogenic cell types in the backcross generation (BC1) and detected the appearance of round spermatids, indicating the partial recovery of spermatogenesis in these animals. Compared with those in cattle-yak, 272 DEG were identified in the testes of BC1 animals. Notably, we discovered that the expression of X chromosome-linked genes was upregulated in the testis of cattle-yak compared with yak, suggesting a possible abnormality in the process of meiotic sex chromosome inactivation in hybrid animals. We next screened DEG harboring structural variations (SV) and identified a list of SV genes associated with spermatogonial development, meiotic recombination, and double-strand break repair. Furthermore, we found that the SV genes ESCO2 (establishment of sister chromatid cohesion N-acetyltransferase 2) and BRDT (bromodomain testis associated) may be involved in meiotic arrest of cattle-yak spermatocytes. Overall, our research provides a valuable database for identifying structural variant loci that contribute to hybrid sterility.
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Affiliation(s)
- Rui-Dong Wan
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai 810001, China; University of Chinese Academy of Sciences, Beijing 100049, China; Qinghai Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai 810001, China
| | - Xue Gao
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai 810001, China; University of Chinese Academy of Sciences, Beijing 100049, China; Qinghai Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai 810001, China
| | - Guo-Wen Wang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai 810001, China; University of Chinese Academy of Sciences, Beijing 100049, China; Qinghai Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai 810001, China
| | - Shi-Xin Wu
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai 810001, China; University of Chinese Academy of Sciences, Beijing 100049, China; Qinghai Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai 810001, China
| | - Qi-Lin Yang
- Department of Veterinary Sciences, Qinghai Vocational Technical College of Animal Science and Agriculture, Xining 810016, China
| | - Yi-Wen Zhang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai 810001, China; University of Chinese Academy of Sciences, Beijing 100049, China; Qinghai Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai 810001, China
| | - Qi-En Yang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai 810001, China; University of Chinese Academy of Sciences, Beijing 100049, China; Qinghai Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai 810001, China.
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13
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McHugo GP, Ward JA, Ng'ang'a SI, Frantz LAF, Salter-Townshend M, Hill EW, O'Gorman GM, Meade KG, Hall TJ, MacHugh DE. Genome-wide local ancestry and the functional consequences of admixture in African and European cattle populations. Heredity (Edinb) 2025; 134:49-63. [PMID: 39516247 PMCID: PMC11723932 DOI: 10.1038/s41437-024-00734-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Revised: 10/26/2024] [Accepted: 10/26/2024] [Indexed: 11/16/2024] Open
Abstract
Bos taurus (taurine) and Bos indicus (indicine) cattle diverged at least 150,000 years ago and, since that time, substantial genomic differences have evolved between the two lineages. During the last two millennia, genetic exchange in Africa has resulted in a complex tapestry of taurine-indicine ancestry, with most cattle populations exhibiting varying levels of admixture. Similarly, there are several Southern European cattle populations that also show evidence for historical gene flow from indicine cattle, the highest levels of which are found in the Central Italian White breeds. Here we use two different software tools (MOSAIC and ELAI) for local ancestry inference (LAI) with genome-wide high- and low-density SNP array data sets in hybrid African and residually admixed Southern European cattle populations and obtained broadly similar results despite critical differences in the two LAI methodologies used. Our analyses identified genomic regions with elevated levels of retained or introgressed ancestry from the African taurine, European taurine, and Asian indicine lineages. Functional enrichment of genes underlying these ancestry peaks highlighted biological processes relating to immunobiology and olfaction, some of which may relate to differing susceptibilities to infectious diseases, including bovine tuberculosis, East Coast fever, and tropical theileriosis. Notably, for retained African taurine ancestry in admixed trypanotolerant cattle we observed enrichment of genes associated with haemoglobin and oxygen transport. This may reflect positive selection of genomic variants that enhance control of severe anaemia, a debilitating feature of trypanosomiasis disease, which severely constrains cattle agriculture across much of sub-Saharan Africa.
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Affiliation(s)
- Gillian P McHugo
- UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
| | - James A Ward
- UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
| | - Said Ismael Ng'ang'a
- Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, 80539, Munich, Germany
- School of Biological and Chemical Sciences, Queen Mary University of London, London, E1 4NS, UK
| | - Laurent A F Frantz
- Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, 80539, Munich, Germany
- School of Biological and Chemical Sciences, Queen Mary University of London, London, E1 4NS, UK
| | | | - Emmeline W Hill
- UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
| | - Grace M O'Gorman
- UK Agri-Tech Centre, Innovation Centre, York Science Park, York, YO10 5DG, UK
| | - Kieran G Meade
- UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, D04 V1W8, Ireland
- UCD One Health Centre, University College Dublin, Dublin, D04 V1W8, Ireland
| | - Thomas J Hall
- UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
| | - David E MacHugh
- UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, D04 V1W8, Ireland.
- UCD One Health Centre, University College Dublin, Dublin, D04 V1W8, Ireland.
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14
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Si J, Dai D, Gorkhali NA, Wang M, Wang S, Sapkota S, Kadel RC, Sadaula A, Dhakal A, Faruque MO, Omar AI, Sari EM, Ashari H, Dagong MIA, Yindee M, Rushdi HE, Elregalaty H, Amin A, Radwan MA, Pham LD, Hulugalla WMMP, Silva GLLP, Zheng W, Mansoor S, Ali MB, Vahidi F, Al-Bayatti SA, Pauciullo A, Lenstra JA, Barker JSF, Fang L, Wu DD, Han J, Zhang Y. Complete Genomic Landscape Reveals Hidden Evolutionary History and Selection Signature in Asian Water Buffaloes (Bubalus bubalis). ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2407615. [PMID: 39630943 DOI: 10.1002/advs.202407615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2024] [Revised: 10/18/2024] [Indexed: 12/07/2024]
Abstract
To identify the genetic determinants of domestication and productivity of Asian water buffaloes (Bubalus bubalis), 470 genomes of domesticated river and swamp buffaloes along with their putative ancestors, the wild water buffaloes (Bubalus arnee) are sequenced and integrated. The swamp buffaloes inherit the morphology of the wild buffaloes. In contrast, most river buffaloes are unique in their morphology, but their genomes cluster with the wild buffaloes. The levels of genomic diversity in Italian river and Indonesian swamp buffaloes decrease at opposite extremes of their distribution range. Purifying selection prevented the accumulation of harmful loss-of-function variants in the Indonesian buffaloes. Genes that evolved rapidly (e.g., GKAP1) following differential selections in the river and swamp buffaloes are involved in their reproduction. Genes related to milk production (e.g., CSN2) and coat color (e.g., MC1R) underwent strong selections in the dairy river buffaloes via soft and hard selective sweeps, respectively. The selective sweeps and single-cell RNA-seq data revealed the luminal cells as the key cell type in response to artificial selection for milk production of the dairy buffaloes. These findings show how artificial selection has been driving the evolutionary divergence and genetic differentiation in morphology and productivity of Asian water buffaloes.
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Affiliation(s)
- Jingfang Si
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Dongmei Dai
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Neena Amatya Gorkhali
- National Animal Breeding and Genetics Research Centre, National Animal Science Research Institute, Nepal Agriculture Research Council, Khumaltar, Lalitpur, Nepal
| | - Mingshan Wang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650023, China
| | - Sheng Wang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650023, China
| | - Saroj Sapkota
- National Animal Breeding and Genetics Research Centre, National Animal Science Research Institute, Nepal Agriculture Research Council, Khumaltar, Lalitpur, Nepal
| | - Ram Chandra Kadel
- Ministry of Industry, Tourism, Forests and Environment, Government of Gandaki Province, Pokhara, Nepal
| | - Amir Sadaula
- National Trust for Nature Conservation- Biodiversity Conservation Center, Sauraha, Chitwan, Nepal
| | - Aashish Dhakal
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Md Omar Faruque
- Department of Animal Breeding and Genetics, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh
| | - Abdullah Ibne Omar
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Eka Meutia Sari
- Department of Animal Science, Faculty of Agriculture, Syiah Kuala University, Darussalam-Banda Aceh, 23111, Indonesia
| | - Hidayat Ashari
- Department of Animal Science, Faculty of Agriculture, Syiah Kuala University, Darussalam-Banda Aceh, 23111, Indonesia
| | | | - Marnoch Yindee
- Akkhraratchakumari Veterinary College, Walailak University, Thaiburi, 222, Thailand
| | - Hossam E Rushdi
- Department of Animal Production, Faculty of Agriculture, Cairo University, Algammaa Street, Giza, 12613, Egypt
| | - Hussein Elregalaty
- Animal Production Research Institute, Agricultural Research Center, Dokki, Giza, Egypt
| | - Ahmed Amin
- Department of Animal Production, Faculty of Agriculture, Cairo University, Algammaa Street, Giza, 12613, Egypt
| | - Mohamed A Radwan
- Department of Animal Production, Faculty of Agriculture, Cairo University, Algammaa Street, Giza, 12613, Egypt
| | - Lan Doan Pham
- Key Laboratory of Animal Cell Technology, National Institute of Animal Sciences, Tu Liem, Hanoi, 100000, Vietnam
| | - W M M P Hulugalla
- Department of Animal Science, Faculty of Agriculture, University of Peradeniya, Sri Lanka
| | - G L L Pradeepa Silva
- Department of Animal Science, Faculty of Agriculture, University of Peradeniya, Sri Lanka
| | - Wei Zheng
- Guangxi Key Laboratory of Buffalo Genetics, Reproduction and Breeding, Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, 530001, China
| | - Shahid Mansoor
- National Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan
- Jamil ur Rehman Center for Genome Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Muhammad Basil Ali
- National Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan
| | - Farhad Vahidi
- Department of Genomics, Agricultural Biotechnology Research Institute of Iran-North Branch (ABRII), Rasht, Iran
| | - Sahar Ahmed Al-Bayatti
- Medical Laboratory Techniques Department, Al-Farabi University College, Ministry of Higher Education and Scientific Research, Baghdad, Iraq
| | - Alfredo Pauciullo
- Department of Agricultural, Forest and Food Sciences, University of Turin, Grugliasco (TO), 10095, Italy
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Yalelaan 104, Utrecht CM, 3584, The Netherlands
| | - J Stuart F Barker
- School of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia
| | - Lingzhao Fang
- The Center for Quantitative Genetics and Genomics (QGG), Aarhus University, Aarhus, 8000, Denmark
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650023, China
| | - Jianlin Han
- Yazhouwan National Laboratory, Sanya, 572024, China
| | - Yi Zhang
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
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15
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Bortoluzzi C, Mapel XM, Neuenschwander S, Janett F, Pausch H, Leonard AS. Genome assembly of wisent (Bison bonasus) uncovers a deletion that likely inactivates the THRSP gene. Commun Biol 2024; 7:1580. [PMID: 39604663 PMCID: PMC11603333 DOI: 10.1038/s42003-024-07295-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 11/19/2024] [Indexed: 11/29/2024] Open
Abstract
The wisent (Bison bonasus) is Europe's largest land mammal. We produced a HiFi read-based wisent assembly with a contig N50 value of 91 Mb containing 99.7% of the highly conserved single copy mammalian genes which improves contiguity a thousand-fold over an existing assembly. Extended runs of homozygosity in the wisent genome compromised the separation of the HiFi reads into parental-specific read sets, which resulted in inferior haplotype assemblies. A bovine super-pangenome built with assemblies from wisent, bison, gaur, yak, taurine and indicine cattle identified a 1580 bp deletion removing the protein-coding sequence of THRSP encoding thyroid hormone-responsive protein from the wisent and bison genomes. Analysis of 725 sequenced samples across the Bovinae subfamily showed that the deletion is fixed in both Bison species but absent in Bos and Bubalus. The THRSP transcript is abundant in adipose, fat, liver, muscle, and mammary gland tissue of Bos and Bubalus, but absent in bison. This indicates that the deletion likely inactivates THRSP in bison. We show that super-pangenomes can reveal potentially trait-associated variation across phylogenies, but also demonstrate that haplotype assemblies from species that went through population bottlenecks warrant scrutiny, as they may have accumulated long runs of homozygosity that complicate phasing.
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Affiliation(s)
| | | | | | - Fredi Janett
- Clinic of Reproductive Medicine, University of Zurich, Zurich, Switzerland
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16
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Velsko IM, Fagernäs Z, Tromp M, Bedford S, Buckley HR, Clark G, Dudgeon J, Flexner J, Galipaud JC, Kinaston R, Lewis CM, Matisoo-Smith E, Nägele K, Ozga AT, Posth C, Rohrlach AB, Shing R, Simanjuntak T, Spriggs M, Tamarii A, Valentin F, Willie E, Warinner C. Exploring the potential of dental calculus to shed light on past human migrations in Oceania. Nat Commun 2024; 15:10191. [PMID: 39582065 PMCID: PMC11586442 DOI: 10.1038/s41467-024-53920-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 10/25/2024] [Indexed: 11/26/2024] Open
Abstract
The Pacific islands and Island Southeast Asia have experienced multiple waves of human migrations, providing a case study for exploring the potential of ancient microbiomes to study human migration. We perform a metagenomic study of archaeological dental calculus from 102 individuals, originating from 10 Pacific islands and 1 island in Island Southeast Asia spanning ~3000 years. Oral microbiome DNA preservation in calculus is far higher than that of human DNA in archaeological bone, and comparable to that of calculus from temperate regions. Oral microbial community composition is minimally driven by time period and geography in Pacific and Island Southeast Asia calculus, but is found to be distinctive compared to calculus from Europe, Africa, and Asia. Phylogenies of individual bacterial species in Pacific and Island Southeast Asia calculus reflect geography. Archaeological dental calculus shows good preservation in tropical regions and the potential to yield information about past human migrations, complementing studies of the human genome.
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Affiliation(s)
- Irina M Velsko
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Zandra Fagernäs
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- University of Copenhagen, Globe Institute, Copenhagen, Denmark
| | - Monica Tromp
- Department of Archaeology, Max Planck Institute for Geoanthropology, Jena, Germany
- Southern Pacific Archaeological Research, Archaeology Programme, University of Otago, Dunedin, New Zealand
- Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | - Stuart Bedford
- Department of Archaeology and Natural History, College of Asia and the Pacific, The Australian National University, Canberra, Australia
- Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Hallie R Buckley
- Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | - Geoffrey Clark
- Department of Archaeology and Natural History, College of Asia and the Pacific, The Australian National University, Canberra, Australia
| | - John Dudgeon
- Department of Anthropology, Idaho State University, Pocatello, ID, USA
| | - James Flexner
- Archaeology, School of Humanities, University of Sydney, Sydney, Australia
| | | | | | - Cecil M Lewis
- Department of Anthropology, University of Oklahoma, Norman, OK, USA
| | - Elizabeth Matisoo-Smith
- Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | - Kathrin Nägele
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Andrew T Ozga
- Department of Biological Sciences, Halmos College of Arts and Sciences, Nova Southeastern University, Fort Lauderdale, FL, USA
| | - Cosimo Posth
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Archaeo- and Palaeogenetics, Institute for Archaeological Sciences, Department of Geosciences, University of Tübingen, Tübingen, Germany
- Senckenberg Centre for Human Evolution and Palaeoenvironment at the University of Tübingen, Tübingen, Germany
| | - Adam B Rohrlach
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- School of Biological Sciences, The University of Adelaide, Adelaide, Australia
| | | | - Truman Simanjuntak
- National Research and Development Centre for Archaeology, Jakarta, Indonesia
| | - Matthew Spriggs
- Vanuatu Cultural Centre, Port-Vila, Vanuatu
- School of Archaeology and Anthropology, College of Arts & Social Sciences, The Australian National University, Canberra, Australia
| | | | | | | | - Christina Warinner
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
- Faculty of Biological Sciences, Friedrich Schiller University, Jena, Germany.
- Archaeogenetics Unit, Leibniz Institute for Infection Biology and Natural Products Research Hans Knoll Institute, Jena, Germany.
- Department of Anthropology, Harvard University, Cambridge, MA, USA.
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17
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Lyu Y, Wang F, Cheng H, Han J, Dang R, Xia X, Wang H, Zhong J, Lenstra JA, Zhang H, Han J, MacHugh DE, Medugorac I, Upadhyay M, Leonard AS, Ding H, Yang X, Wang MS, Quji S, Zhuzha B, Quzhen P, Wangmu S, Cangjue N, Wa D, Ma W, Liu J, Zhang J, Huang B, Qi X, Li F, Huang Y, Ma Y, Wang Y, Gao Y, Lu W, Lei C, Chen N. Recent selection and introgression facilitated high-altitude adaptation in cattle. Sci Bull (Beijing) 2024; 69:3415-3424. [PMID: 38945748 DOI: 10.1016/j.scib.2024.05.030] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 05/09/2024] [Accepted: 05/13/2024] [Indexed: 07/02/2024]
Abstract
During the past 3000 years, cattle on the Qinghai-Xizang Plateau have developed adaptive phenotypes under the selective pressure of hypoxia, ultraviolet (UV) radiation, and extreme cold. The genetic mechanism underlying this rapid adaptation is not yet well understood. Here, we present whole-genome resequencing data for 258 cattle from 32 cattle breeds/populations, including 89 Tibetan cattle representing eight populations distributed at altitudes ranging from 3400 m to 4300 m. Our genomic analysis revealed that Tibetan cattle exhibited a continuous phylogeographic cline from the East Asian taurine to the South Asian indicine ancestries. We found that recently selected genes in Tibetan cattle were related to body size (HMGA2 and NCAPG) and energy expenditure (DUOXA2). We identified signals of sympatric introgression from yak into Tibetan cattle at different altitudes, covering 0.64%-3.26% of their genomes, which included introgressed genes responsible for hypoxia response (EGLN1), cold adaptation (LRP11), DNA damage repair (LATS1), and UV radiation resistance (GNPAT). We observed that introgressed yak alleles were associated with noncoding variants, including those in present EGLN1. In Tibetan cattle, three yak introgressed SNPs in the EGLN1 promoter region reduced the expression of EGLN1, suggesting that these genomic variants enhance hypoxia tolerance. Taken together, our results indicated complex adaptation processes in Tibetan cattle, where recently selected genes and introgressed yak alleles jointly facilitated rapid adaptation to high-altitude environments.
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Affiliation(s)
- Yang Lyu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Key Laboratory of Animal Production, Product Quality, and Security, Ministry of Education, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Fuwen Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Haijian Cheng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Shandong Key Lab of Animal Disease Control and Breeding, Jinan 250000, China
| | - Jing Han
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China
| | - Ruihua Dang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Xiaoting Xia
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Hui Wang
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu 610000, China
| | - Jincheng Zhong
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu 610000, China
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht 3584 CM, The Netherlands
| | - Hucai Zhang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, China; Southwest United Graduate School, Kunming 650500, China
| | - Jianlin Han
- Yazhouwan National Laboratory, Sanya 572024, China; CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agriculture Sciences (CAAS), Beijing 100000, China
| | - David E MacHugh
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Dublin D04 V1W8, Ireland; UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin D04 V1W8, Ireland
| | - Ivica Medugorac
- Population Genomics Group, Department of Veterinary Sciences, LMU Munich, Martinsried 82152, Germany
| | - Maulik Upadhyay
- Population Genomics Group, Department of Veterinary Sciences, LMU Munich, Martinsried 82152, Germany
| | - Alexander S Leonard
- Animal Genomics, ETH Zurich, Universitaetstrasse 2, Zurich 8006, Switzerland
| | - He Ding
- Key Laboratory of Animal Production, Product Quality, and Security, Ministry of Education, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Xiaorui Yang
- Key Laboratory of Animal Production, Product Quality, and Security, Ministry of Education, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Ming-Shan Wang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Suolang Quji
- Institute of Animal Husbandry and Veterinary Science, Xizang Autonomous Region Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850000, China
| | - Basang Zhuzha
- Institute of Animal Husbandry and Veterinary Science, Xizang Autonomous Region Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850000, China
| | - Pubu Quzhen
- Shigatse City Kangma County Shaogang Township Agriculture and Animal Husbandry Comprehensive Service Center, Shigatse 857000, China
| | - Silang Wangmu
- Institute of Animal Husbandry and Veterinary Science, Xizang Autonomous Region Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850000, China
| | - Nima Cangjue
- Institute of Animal Husbandry and Veterinary Science, Xizang Autonomous Region Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850000, China
| | - Da Wa
- Institute of Animal Husbandry and Veterinary Science, Xizang Autonomous Region Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850000, China
| | - Weidong Ma
- Shaanxi Province Agriculture & Husbandry Breeding Farm, Fufeng 722203, China
| | - Jianyong Liu
- Yunnan Academy of Grassland and Animal Science, Kunming 650500, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming 650500, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming 650500, China
| | - Xingshan Qi
- Animal Husbandry Bureau in Biyang County, Biyang 463700, China
| | - Fuqiang Li
- Hunan Tianhua Industrial Corporation Ltd., Lianyuan 417126, China
| | - Yongzhen Huang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Yun Ma
- Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, School of Agriculture, Ningxia University, Yinchuan 750000, China
| | - Yu Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Yuanpeng Gao
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
| | - Wenfa Lu
- Key Laboratory of Animal Production, Product Quality, and Security, Ministry of Education, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China; Yazhouwan National Laboratory, Sanya 572024, China.
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
| | - Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
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18
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Tiwari M, Gujar G, Shashank CG, Ponsuksili S. Selection signatures for high altitude adaptation in livestock: A review. Gene 2024; 927:148757. [PMID: 38986751 DOI: 10.1016/j.gene.2024.148757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 07/01/2024] [Accepted: 07/05/2024] [Indexed: 07/12/2024]
Abstract
High altitude adapted livestock species (cattle, yak, goat, sheep, and horse) has critical role in the human socioeconomic sphere and acts as good source of animal source products including milk, meat, and leather, among other things. These species sustain production and reproduction even in harsh environments on account of adaptation resulting from continued evolution of beneficial traits. Selection pressure leads to various adaptive strategies in livestock whose footprints are evident at the different genomic sites as the "Selection Signature". Scrutiny of these signatures provides us crucial insight into the evolutionary process and domestication of livestock adapted to diverse climatic conditions. These signatures have the potential to change the sphere of animal breeding and further usher the selection programmes in right direction. Technological revolution and recent strides made in genomic studies has opened the routes for the identification of selection signatures. Numerous statistical approaches and bioinformatics tools have been developed to detect the selection signature. Consequently, studies across years have identified candidate genes under selection region found associated with numerous traits which have a say in adaptation to high-altitude environment. This makes it pertinent to have a better understanding about the selection signature, the ways to identify and how to utilize them for betterment of livestock populations as well as farmers. This review takes a closer look into the general concept, various methodologies, and bioinformatics tools commonly employed in selection signature studies and summarize the results of recent selection signature studies related to high-altitude adaptation in various livestock species. This review will serve as an informative and useful insight for researchers and students in the field of animal breeding and evolutionary biology.
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Affiliation(s)
- Manish Tiwari
- ICAR-National Dairy Research Institute, Karnal, India; U.P. Pt. Deen Dayal Upadhyaya Veterinary Science University and Cattle Research Institute, Mathura, India.
| | | | - C G Shashank
- ICAR-National Dairy Research Institute, Karnal, India
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19
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Zhong Z, Wang Z, Xie X, Pan D, Su Z, Fan J, Xiao Q, Sun R. Insights into Adaption and Growth Evolution: Genome-Wide Copy Number Variation Analysis in Chinese Hainan Yellow Cattle Using Whole-Genome Re-Sequencing Data. Int J Mol Sci 2024; 25:11919. [PMID: 39595990 PMCID: PMC11594005 DOI: 10.3390/ijms252211919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2024] [Revised: 11/02/2024] [Accepted: 11/04/2024] [Indexed: 11/28/2024] Open
Abstract
Copy number variation (CNV) serves as a crucial source of genomic variation and significantly aids in the mining of genomic information in cattle. This study aims to analyze re-sequencing data from Chinese Hainan yellow cattle, to uncover breed CNV information, and to elucidate the resources of population genetic variation. We conducted whole-genome sequencing on 30 Chinese Hainan yellow cattle, thus generating 814.50 Gb of raw data. CNVs were called using CNVnator software, and subsequent filtering with Plink and HandyCNV yielded 197,434 high-quality CNVs and 5852 CNV regions (CNVRs). Notably, the proportion of deleted sequences (81.98%) exceeded that of duplicated sequences (18.02%), with the lengths of CNVs predominantly ranging between 20 and 500 Kb This distribution demonstrated a decrease in CNVR count with increasing fragment length. Furthermore, an analysis of the population genetic structure using CNVR databases from Chinese, Indian, and European commercial cattle breeds revealed differences between Chinese Bos indicus and Indian Bos indicus. Significant differences were also observed between Hainan yellow cattle and European commercial breeds. We conducted gene annotation for both Hainan yellow cattle and European commercial cattle, as well as for Chinese Bos indicus and Indian Bos indicus, identifying 206 genes that are expressed in both Chinese and Indian Bos indicus. These findings may provide valuable references for future research on Bos indicus. Additionally, selection signatures analysis based on Hainan yellow cattle and three European commercial cattle breeds identified putative pathways related to heat tolerance, disease resistance, fat metabolism, environmental adaptation, candidate genes associated with reproduction and the development of sperm and oocytes (CABS1, DLD, FSHR, HSD17B2, KDM2A), environmental adaptation (CNGB3, FAM161A, DIAPH3, EYA4, AAK1, ERBB4, ERC2), oxidative stress anti-inflammatory response (COMMD1, OXR1), disease resistance (CNTN5, HRH4, NAALADL2), and meat quality (EHHADH, RHOD, GFPT1, SULT1B1). This study provides a comprehensive exploration of CNVs at the molecular level in Chinese Hainan yellow cattle, offering theoretical support for future breeding and selection programs aimed at enhancing qualities of this breed.
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Affiliation(s)
- Ziqi Zhong
- Institute of Animal Husbandry and Veterinary Research, Hainan Academy of Agricultural Sciences, Key Laboratory of Tropical Animal Breeding and Epidemic Disease Research, Haikou 571100, China;
- School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.); (X.X.); (D.P.); (Z.S.); (J.F.)
| | - Ziyi Wang
- School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.); (X.X.); (D.P.); (Z.S.); (J.F.)
| | - Xinfeng Xie
- School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.); (X.X.); (D.P.); (Z.S.); (J.F.)
| | - Deyou Pan
- School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.); (X.X.); (D.P.); (Z.S.); (J.F.)
| | - Zhiqing Su
- School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.); (X.X.); (D.P.); (Z.S.); (J.F.)
| | - Jinwei Fan
- School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.); (X.X.); (D.P.); (Z.S.); (J.F.)
| | - Qian Xiao
- School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.); (X.X.); (D.P.); (Z.S.); (J.F.)
| | - Ruiping Sun
- Institute of Animal Husbandry and Veterinary Research, Hainan Academy of Agricultural Sciences, Key Laboratory of Tropical Animal Breeding and Epidemic Disease Research, Haikou 571100, China;
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20
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Wang T, Ma X, Ma C, Wu X, ZhaXi T, Yin L, Li W, Li Y, Liang C, Yan P. Whole genome resequencing-based analysis of plateau adaptation in Meiren yak ( Bos grunniens). Anim Biotechnol 2024; 35:2298406. [PMID: 38193808 DOI: 10.1080/10495398.2023.2298406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
The Meiren yak is an important genetic resource in Gansu Province, China. In this study, we aimed to explore the evolutionary history and population structure of the genetic resource of Meiren yak and to mine the characteristic genes of Meiren yak. We analysed a total of 93 yaks of eight yak breeds based on whole genome resequencing combined with population genomics and used θπ ratio and Fst method to screen the selected sites in the genome region. The results proved that Meiren yak can be used as a potential genetic resource in Gansu Province. The genes in Meiren yak with positive selection in selection signal analysis were subjected to the Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses, which indicated that the genes were related to the adaptability to high altitude and hypoxic environment. By analysing the genetic variation of Meiren yak at the genome-wide level, this study provided a theoretical basis for genetic improvement of Meiren yak and for the development of high-quality yak resources.
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Affiliation(s)
- Tong Wang
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
- Life science and Engineering College, Northwest Minzu University, Lanzhou, China
| | - XiaoMing Ma
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
| | - ChaoFan Ma
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
- Life science and Engineering College, Northwest Minzu University, Lanzhou, China
| | - XiaoYun Wu
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
| | - Ta ZhaXi
- Qilian County Veterinary Animal Husbandry Station, Qinghai, China
| | - LiXin Yin
- Huazhi Biotech Co. Ltd, Changsha, China
| | - WeiGuo Li
- Huazhi Biotech Co. Ltd, Changsha, China
| | - YuFei Li
- Huazhi Biotech Co. Ltd, Changsha, China
| | - ChunNian Liang
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
| | - Ping Yan
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
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21
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Lv FH, Wang DF, Zhao SY, Lv XY, Sun W, Nielsen R, Li MH. Deep Ancestral Introgressions between Ovine Species Shape Sheep Genomes via Argali-Mediated Gene Flow. Mol Biol Evol 2024; 41:msae212. [PMID: 39404100 PMCID: PMC11542629 DOI: 10.1093/molbev/msae212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 09/12/2024] [Accepted: 10/04/2024] [Indexed: 11/08/2024] Open
Abstract
Previous studies revealed extensive genetic introgression between Ovis species, which affects genetic adaptation and morphological traits. However, the exact evolutionary scenarios underlying the hybridization between sheep and allopatric wild relatives remain unknown. To address this problem, we here integrate the reference genomes of several ovine and caprine species: domestic sheep, argali, bighorn sheep, snow sheep, and domestic goats. Additionally, we use 856 whole genomes representing 169 domestic sheep populations and their six wild relatives: Asiatic mouflon, urial, argali, snow sheep, thinhorn sheep, and bighorn sheep. We implement a comprehensive set of analyses to test introgression among these species. We infer that the argali lineage originated ∼3.08 to 3.35 Mya and hybridized with the ancestor of Pachyceriforms (e.g. bighorn sheep and snow sheep) at ∼1.56 Mya. Previous studies showed apparent introgression from North American Pachyceriforms into the Bashibai sheep, a Chinese native sheep breed, despite of their wide geographic separation. We show here that, in fact, the apparent introgression from the Pachyceriforms into Bashibai can be explained by the old introgression from Pachyceriforms into argali and subsequent recent introgression from argali into Bashibai. Our results illustrate the challenges of estimating complex introgression histories and provide an example of how indirect and direct introgression can be distinguished.
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Affiliation(s)
- Feng-Hua Lv
- Frontiers Science Center for Molecular Design Breeding (MOE), State Key Laboratory of Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Dong-Feng Wang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Si-Yi Zhao
- Frontiers Science Center for Molecular Design Breeding (MOE), State Key Laboratory of Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiao-Yang Lv
- International Joint Research Laboratory, Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou 225001, China
| | - Wei Sun
- International Joint Research Laboratory, Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou 225001, China
| | - Rasmus Nielsen
- Department of Integrative Biology, University of California at Berkeley, Berkeley, CA 94720, USA
- Department of Statistics, UC Berkeley, Berkeley, CA 94707, USA
- Globe Institute, University of Copenhagen, Copenhagen 1350, Denmark
| | - Meng-Hua Li
- Frontiers Science Center for Molecular Design Breeding (MOE), State Key Laboratory of Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
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22
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Ni B, Tang L, Zhu L, Li X, Zhang K, Nie H, Ye Z, Wang Y, Zhu L, Kong X, Gou X. Screening of functional genes for hypoxia adaptation in Tibetan pigs by combined genome resequencing and transcriptome analysis. Front Vet Sci 2024; 11:1486258. [PMID: 39497743 PMCID: PMC11532106 DOI: 10.3389/fvets.2024.1486258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2024] [Accepted: 10/08/2024] [Indexed: 11/07/2024] Open
Abstract
The high-altitude, low-oxygen environment of the Qinghai-Tibet Plateau poses significant challenges for the introduction of superior livestock breeds. However, local plateau species have adapted to thrive and reproduce under these harsh conditions. Understanding the molecular mechanisms behind plateau animals' adaptation to low-oxygen environments is essential for breeding livestock suited to high-altitude regions. Tibetan pigs, which have undergone long-term natural selection and artificial breeding, have developed the ability to survive and reproduce in hypoxic environments. In this study, we conducted whole-genome resequencing of 30 Tibetan pigs from high-altitude regions and 30 Diannan small-ear pigs from low-altitude areas, to identify candidate genes that support Tibetan pigs' adaptation to hypoxic conditions through selection signal analysis. Additionally, we performed transcriptome sequencing on five tissues (heart, liver, spleen, lung, and bone marrow) from both Tibetan pigs and Diannan small-ear pigs to identify genes with significant differential expression between the two breeds. We then integrated the genomic and transcriptomic data by examining the expression of candidate genes identified in selection signal analysis across different tissues. The selection signal analysis identified 10 genes-HES4, ANGPT1, HIF3A, SPHK2, PCK2, RCN3, HIGD2A, DNM2, IRF9, and SRF-that were under positive selection in the Tibetan pig population and are associated with hypoxia adaptation. When combined with transcriptome data, we found that five of these genes-HIF3A, RCN3, HIGD2A, PCK2, and IRF9-exhibited differential expression. Through an integrated approach of selection signal and transcriptome analysis, we identified five key functional genes that contribute to the adaptation of Tibetan pigs to hypoxic environments. These findings offer new insights into the adaptability of plateau animals.
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Affiliation(s)
- Bin Ni
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Lin Tang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Li Zhu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Xinpeng Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Kang Zhang
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Hongyu Nie
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Zeyu Ye
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Yiwen Wang
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Lijun Zhu
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Xiaoyan Kong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Xiao Gou
- School of Life Science and Engineering, Foshan University, Foshan, China
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23
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Zhao P, Li S, He Z, Ma X. Physiological and Genetic Basis of High-Altitude Indigenous Animals' Adaptation to Hypoxic Environments. Animals (Basel) 2024; 14:3031. [PMID: 39457960 PMCID: PMC11505238 DOI: 10.3390/ani14203031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Revised: 10/14/2024] [Accepted: 10/18/2024] [Indexed: 10/28/2024] Open
Abstract
Adaptation is one of the fundamental characteristics of life activities; humans and animals inhabiting high altitudes are well adapted to hypobaric hypoxic environments, and studies on the mechanisms of this adaptation emerged a hundred years ago. Based on these studies, this paper reviews the adaptive changes in hypoxia-sensitive tissues and organs, as well as at the molecular genetic level, such as pulmonary, cardiovascular, O2-consuming tissues, and the hemoglobin and HIF pathway, that occur in animals in response to the challenge of hypobaric hypoxia. High-altitude hypoxia adaptation may be due to the coordinated action of genetic variants in multiple genes and, as a result, adaptive changes in multiple tissues and organs at the physiological and biochemical levels. Unraveling their mechanisms of action can provide a reference for the prevention and treatment of multiple diseases caused by chronic hypoxia.
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Affiliation(s)
- Pengfei Zhao
- Faculty of Chemistry and Life Sciences, Gansu Minzu Normal University, Hezuo 747000, China;
| | - Shaobin Li
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, Faculty of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China;
| | - Zhaohua He
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, Faculty of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China;
| | - Xiong Ma
- Faculty of Chemistry and Life Sciences, Gansu Minzu Normal University, Hezuo 747000, China;
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24
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Fang S, Zhang H, Long H, Zhang D, Chen H, Yang X, Pan H, Pan X, Liu D, E G. Phylogenetic Relations and High-Altitude Adaptation in Wild Boar ( Sus scrofa), Identified Using Genome-Wide Data. Animals (Basel) 2024; 14:2984. [PMID: 39457914 PMCID: PMC11503864 DOI: 10.3390/ani14202984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Revised: 10/08/2024] [Accepted: 10/13/2024] [Indexed: 10/28/2024] Open
Abstract
The Qinghai-Tibet Plateau (QTP) wild boar is an excellent model for investigating high-altitude adaptation. In this study, we analyzed genome-wide data from 93 wild boars compiled from various studies worldwide, including the QTP, southern and northern regions of China, Europe, Northeast Asia, and Southeast Asia, to explore their phylogenetic patterns and high-altitude adaptation based on genome-wide selection signal analysis and run of homozygosity (ROH) estimation. The findings demonstrate the alignment between the phylogenetic associations among wild boars and their geographical location. An ADMIXTURE analysis indicated a relatively close genetic relationship between QTP and southern Chinese wild boars. Analyses of the fixation index and cross-population extended haplotype homozygosity between populations revealed 295 candidate genes (CDGs) associated with high-altitude adaptation, such as TSC2, TELO2, SLC5A1, and SLC5A4. These CDGs were significantly overrepresented in pathways such as the mammalian target of rapamycin signaling and Fanconi anemia pathways. In addition, 39 ROH islands and numerous selective CDGs (e.g., SLC5A1, SLC5A4, and VCP), which are implicated in glucose metabolism and mitochondrial function, were discovered in QTP wild boars. This study not only assessed the phylogenetic history of QTP wild boars but also advanced our comprehension of the genetic mechanisms underlying the adaptation of wild boars to high altitudes.
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Affiliation(s)
- Shiyong Fang
- College of Animal Science and Technology, Southwest University, Chongqing 400716, China; (S.F.); (H.Z.); (H.L.)
| | - Haoyuan Zhang
- College of Animal Science and Technology, Southwest University, Chongqing 400716, China; (S.F.); (H.Z.); (H.L.)
| | - Haoyuan Long
- College of Animal Science and Technology, Southwest University, Chongqing 400716, China; (S.F.); (H.Z.); (H.L.)
| | - Dongjie Zhang
- Institute of Animal Husbandry, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China;
| | - Hongyue Chen
- Chongqing Animal Husbandry Technology Extension Station, Chongqing 401121, China;
| | - Xiuqin Yang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China;
| | - Hongmei Pan
- Chongqing Academy of Animal Sciences, Chongqing 408599, China;
| | - Xiao Pan
- Chongqing Hechuan Animal Husbandry Station, Chongqing 401520, China;
| | - Di Liu
- Institute of Animal Husbandry, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China;
| | - Guangxin E
- College of Animal Science and Technology, Southwest University, Chongqing 400716, China; (S.F.); (H.Z.); (H.L.)
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25
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Yang H, Ouyang T, Chai Z, Jiang H, Zhao H, Ma Z, Zhong J, Wang J, Zhang M, Wu Z, Xin J. Gelatinase MMP Expression Is Correlated with Muscle Fiber Growth in Maiwa Yak Gluteus Maximus. Biol Trace Elem Res 2024:10.1007/s12011-024-04393-0. [PMID: 39358579 DOI: 10.1007/s12011-024-04393-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2024] [Accepted: 09/21/2024] [Indexed: 10/04/2024]
Abstract
Yak (Bos grunniens) is the only large mammal species in the Qinghai-Tibet Plateau. The most of the studies in yak remain confined for the main contributor of meat, which requires a good understanding of muscle growth. Matrix metalloproteinases-2 (MMP-2) and MMP-9 are widely expressed in mammal tissues they mainly degrade collagen in the extracellular matrix for muscle development. However, the influence of MMPs on yak muscle remains unclear. Hence, we assessed the expression of MMP-2, MMP-9, and related factors with ages in Maiwa yak for study the correlation between MMPs expression and yak muscle growth. The mRNA expression of MMP-2, MMP-9, MMP-14, and collagen III increased with age, except collagen I by quantitative real-time PCR. Moreover, muscle fiber diameter increased with age, whereas the density decreased, which showed that fiber grew thicker with age using hematoxylin-eosin staining. Interestingly, MMP and collagen expression significantly decreased with age using western blotting. Pearson correlation method showed that both mRNA and protein expression of MMP-14 and collagen were strongly correlated with muscle fiber growth, but MMP-2 protein and MMP-9 mRNA expression were moderately correlated with muscle fiber growth. Overall, the expression of MMPs and collagen significantly changed with age, which means that MMPs and their function related genes could correlate with Maiwa yak muscle fiber growth.
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Affiliation(s)
- Huan Yang
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu, 610225, China
| | - Tanliang Ouyang
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu, 610225, China
| | - Zhixin Chai
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu, 610225, China
| | - Hui Jiang
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, 850000, Tibet, China
- Key Laboratory of Animal Genetics and Breeding On Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Institute of Animal Science and Veterinary, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, 850009, Tibet, China
| | - Hongwen Zhao
- Sichuan Academy of Grassland Sciences, Chengdu, 611731, China
| | - Zongliang Ma
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu, 610225, China
| | - Jincheng Zhong
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu, 610225, China
| | - Jiabo Wang
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu, 610225, China
| | - Ming Zhang
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu, 610225, China
| | - Zhijuan Wu
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu, 610225, China.
| | - Jinwei Xin
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, 850000, Tibet, China.
- Key Laboratory of Animal Genetics and Breeding On Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Institute of Animal Science and Veterinary, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, 850009, Tibet, China.
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26
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Tims AR, Unmack PJ, Hammer MP, Brown C, Adams M, McGee MD. Museum Genomics Reveals the Hybrid Origin of an Extinct Crater Lake Endemic. Syst Biol 2024; 73:506-520. [PMID: 38597146 PMCID: PMC11377190 DOI: 10.1093/sysbio/syae017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 03/13/2024] [Accepted: 04/09/2024] [Indexed: 04/11/2024] Open
Abstract
Crater lake fishes are common evolutionary model systems, with recent studies suggesting a key role for gene flow in promoting rapid adaptation and speciation. However, the study of these young lakes can be complicated by human-mediated extinctions. Museum genomics approaches integrating genetic data from recently extinct species are, therefore, critical to understanding the complex evolutionary histories of these fragile systems. Here, we examine the evolutionary history of an extinct Southern Hemisphere crater lake endemic, the rainbowfish Melanotaenia eachamensis. We undertook a comprehensive sampling of extant rainbowfish populations of the Atherton Tablelands of Australia alongside historical museum material to understand the evolutionary origins of the extinct crater lake population and the dynamics of gene flow across the ecoregion. The extinct crater lake species is genetically distinct from all other nearby populations due to historic introgression between 2 proximate riverine lineages, similar to other prominent crater lake speciation systems, but this historic gene flow has not been sufficient to induce a species flock. Our results suggest that museum genomics approaches can be successfully combined with extant sampling to unravel complex speciation dynamics involving recently extinct species.
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Affiliation(s)
- Amy R Tims
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
- School of Natural Sciences, Macquarie University, Sydney, New South Wales 2109, Australia
| | - Peter J Unmack
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
- Centre for Applied Water Science, Institute for Applied Ecology, University of Canberra, Australian Capital Territory 2601, Australia
| | - Michael P Hammer
- Museum and Art Gallery of the Northern Territory, Darwin, Northern Territory 0801, Australia
| | - Culum Brown
- School of Natural Sciences, Macquarie University, Sydney, New South Wales 2109, Australia
| | - Mark Adams
- Evolutionary Biology Unit, South Australian Museum, North Terrace, Adelaide, South Australia 5000, Australia
- School of Biological Sciences, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Matthew D McGee
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
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27
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Kang Y, Wang Z, An K, Hou Q, Zhang Z, Su J. Introgression drives adaptation to the plateau environment in a subterranean rodent. BMC Biol 2024; 22:187. [PMID: 39218870 PMCID: PMC11368017 DOI: 10.1186/s12915-024-01986-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Accepted: 08/18/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Introgression has repeatedly been shown to play an important role in the adaptation of species to extreme environments, yet how introgression enables rodents with specialized subterranean lifestyle to acclimatize to high altitudes is still unclear. Myospalacinae is a group of subterranean rodents, among which the high-altitude plateau zokors (Eospalax baileyi) and the low-altitude Gansu zokors (E. cansus) are sympatrically distributed in the grassland ecosystems of the Qinghai-Tibet Plateau (QTP). Together, they provide a model for the study of the role of introgression in the adaptation of low-altitude subterranean rodents to high altitudes. RESULTS Applying low-coverage whole-genome resequencing and population genetics analyses, we identified evidence of adaptive introgression from plateau zokors into Gansu zokors, which likely facilitated the adaptation of the latter to the high-altitude environment of the QTP. We identified positively selected genes with functions related to energy metabolism, cardiovascular system development, calcium ion transport, and response to hypoxia which likely made critical contributions to adaptation to the plateau environment in both plateau zokors and high-altitude populations of Gansu zokors. CONCLUSIONS Introgression of genes associated with hypoxia adaptation from plateau zokors may have played a role in the adaptation of Gansu zokors to the plateau environment. Our study provides new insights into the understanding of adaptive evolution of species on the QTP and the importance of introgression in the adaptation of species to high-altitude environments.
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Affiliation(s)
- Yukun Kang
- College of Grassland Science, Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou, 730070, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou, 730070, China
| | - Zhicheng Wang
- College of Grassland Science, Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou, 730070, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou, 730070, China
| | - Kang An
- College of Grassland Science, Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou, 730070, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou, 730070, China
| | - Qiqi Hou
- College of Grassland Science, Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou, 730070, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou, 730070, China
| | - Zhiming Zhang
- College of Grassland Science, Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou, 730070, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou, 730070, China
| | - Junhu Su
- College of Grassland Science, Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou, 730070, China.
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou, 730070, China.
- Gansu Qilianshan Grassland Ecosystem Observation and Research Station, Wuwei, 733200, China.
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28
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Rakotoarivelo AR, Rambuda T, Taron UH, Stalder G, O'Donoghue P, Robovský J, Hartmann S, Hofreiter M, Moodley Y. Complex patterns of gene flow and convergence in the evolutionary history of the spiral-horned antelopes (Tragelaphini). Mol Phylogenet Evol 2024; 198:108131. [PMID: 38909875 DOI: 10.1016/j.ympev.2024.108131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 05/19/2024] [Accepted: 06/15/2024] [Indexed: 06/25/2024]
Abstract
The Tragelaphini, also known as spiral-horned antelope, is a phenotypically diverse mammalian tribe comprising a single genus, Tragelaphus. The evolutionary history of this tribe has attracted the attention of taxonomists and molecular geneticists for decades because its diversity is characterised by conflicts between morphological and molecular data as well as between mitochondrial, nuclear and chromosomal DNA. These inconsistencies point to a complex history of ecological diversification, coupled by either phenotypic convergence or introgression. Therefore, to unravel the phylogenetic relationships among spiral-horned antelopes, and to further investigate the role of divergence and gene flow in trait evolution, we sequenced genomes for all nine accepted species of the genus Tragelaphus, including a genome each for the highly divergent bushbuck lineages (T. s. scriptus and T. s. sylvaticus). We successfully reconstructed the Tragelaphus species tree, providing genome-level support for the early Pliocene divergence and monophyly of the nyala (T. angasii) and lesser kudu (T. imberbis), the monophyly of the two eland species (T. oryx and T. derbianus) and, importantly, the monophyly of kéwel (T. s. scriptus) and imbabala (T. s. sylvaticus) bushbuck. We found strong evidence for gene flow in at least four of eight nodes on the species tree. Among the six phenotypic traits assessed here, only habitat type mapped onto the species tree without homoplasy, showing that trait evolution was the result of complex patterns of divergence, introgression and convergent evolution.
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Affiliation(s)
- Andrinajoro R Rakotoarivelo
- Department of Biological Sciences, University of Venda, Private Bag X5050, Thohoyandou 0950, Republic of South Africa; Department of Zoology and Entomology, University of the Free State: QwaQwa Campus, Private Bag X13, Phuthaditjhaba 9866, Republic of South Africa
| | - Thabelo Rambuda
- Department of Biological Sciences, University of Venda, Private Bag X5050, Thohoyandou 0950, Republic of South Africa; Department of Genetics, University of Pretoria, Private Bag X20, Hatfield 0028, Republic of South Africa
| | - Ulrike H Taron
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Strasse 24-25, 14476 Potsdam, Germany
| | - Gabrielle Stalder
- Department of Interdisciplinary Life Sciences, Research Institute of Wildlife Ecology, University of Veterinary Medicine, Savoyenstraße 1, A-1160 Wien, Austria
| | | | - Jan Robovský
- Department of Zoology, Faculty of Science, University of South Bohemia, Branišovská 1760, 37005 České Budějovice, Czech Republic
| | - Stefanie Hartmann
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Strasse 24-25, 14476 Potsdam, Germany
| | - Michael Hofreiter
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Strasse 24-25, 14476 Potsdam, Germany
| | - Yoshan Moodley
- Department of Biological Sciences, University of Venda, Private Bag X5050, Thohoyandou 0950, Republic of South Africa.
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29
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Li C, Chen B, Langda S, Pu P, Zhu X, Zhou S, Kalds P, Zhang K, Bhati M, Leonard A, Huang S, Li R, Cuoji A, Wang X, Zhu H, Wu Y, Cuomu R, Gui B, Li M, Wang Y, Li Y, Fang W, Jia T, Pu T, Pan X, Cai Y, He C, Wang L, Jiang Y, Han JL, Chen Y, Zhou P, Pausch H, Wang X. Multi-omic Analyses Shed Light on The Genetic Control of High-altitude Adaptation in Sheep. GENOMICS, PROTEOMICS & BIOINFORMATICS 2024; 22:qzae030. [PMID: 39142817 PMCID: PMC12016566 DOI: 10.1093/gpbjnl/qzae030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 01/09/2024] [Accepted: 02/29/2024] [Indexed: 08/16/2024]
Abstract
Sheep were domesticated in the Fertile Crescent and then spread globally, where they have been encountering various environmental conditions. The Tibetan sheep has adapted to high altitudes on the Qinghai-Tibet Plateau over the past 3000 years. To explore genomic variants associated with high-altitude adaptation in Tibetan sheep, we analyzed Illumina short-reads of 994 whole genomes representing ∼ 60 sheep breeds/populations at varied altitudes, PacBio High fidelity (HiFi) reads of 13 breeds, and 96 transcriptomes from 12 sheep organs. Association testing between the inhabited altitudes and 34,298,967 variants was conducted to investigate the genetic architecture of altitude adaptation. Highly accurate HiFi reads were used to complement the current ovine reference assembly at the most significantly associated β-globin locus and to validate the presence of two haplotypes A and B among 13 sheep breeds. The haplotype A carried two homologous gene clusters: (1) HBE1, HBE2, HBB-like, and HBBC, and (2) HBE1-like, HBE2-like, HBB-like, and HBB; while the haplotype B lacked the first cluster. The high-altitude sheep showed highly frequent or nearly fixed haplotype A, while the low-altitude sheep dominated by haplotype B. We further demonstrated that sheep with haplotype A had an increased hemoglobin-O2 affinity compared with those carrying haplotype B. Another highly associated genomic region contained the EGLN1 gene which showed varied expression between high-altitude and low-altitude sheep. Our results provide evidence that the rapid adaptive evolution of advantageous alleles play an important role in facilitating the environmental adaptation of Tibetan sheep.
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Affiliation(s)
- Chao Li
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
- Animal Genomics, ETH Zürich, Zürich 8092, Switzerland
| | - Bingchun Chen
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Suo Langda
- Institute of Animal Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850009, China
| | - Peng Pu
- School of Biological and Pharmaceutical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
| | - Xiaojia Zhu
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China
| | - Shiwei Zhou
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Peter Kalds
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Ke Zhang
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Meenu Bhati
- Animal Genomics, ETH Zürich, Zürich 8092, Switzerland
| | | | - Shuhong Huang
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Ran Li
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Awang Cuoji
- Institute of Animal Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850009, China
| | - Xiran Wang
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China
| | - Haolin Zhu
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China
| | - Yujiang Wu
- Institute of Animal Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850009, China
| | - Renqin Cuomu
- Institute of Animal Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850009, China
| | - Ba Gui
- Institute of Animal Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850009, China
| | - Ming Li
- Zoology and Evolutionary Biology, Department of Biology, University of Konstanz, 78457 Konstanz, Germany
| | - Yutao Wang
- College of Life and Geographic Sciences, Kashi University, Kashi 844000, China
| | - Yan Li
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Wenwen Fang
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Ting Jia
- Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing 100044, China
| | - Tianchun Pu
- Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing 100044, China
| | - Xiangyu Pan
- Department of Medical Research, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Yudong Cai
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Chong He
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs/Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, College of Information Engineering, Northwest A&F University, Yangling 712100, China
| | - Liming Wang
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China
| | - Yu Jiang
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Jian-Lin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
- Livestock Genetics Program, International Livestock Research Institute, Nairobi 00100, Kenya
| | - Yulin Chen
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Ping Zhou
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China
| | - Hubert Pausch
- Animal Genomics, ETH Zürich, Zürich 8092, Switzerland
| | - Xiaolong Wang
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
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30
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Liang X, Duan Q, Li B, Wang Y, Bu Y, Zhang Y, Kuang Z, Mao L, An X, Wang H, Yang X, Wan N, Feng Z, Shen W, Miao W, Chen J, Liu S, Storz JF, Liu J, Nevo E, Li K. Genomic structural variation contributes to evolved changes in gene expression in high-altitude Tibetan sheep. Proc Natl Acad Sci U S A 2024; 121:e2322291121. [PMID: 38913905 PMCID: PMC11228492 DOI: 10.1073/pnas.2322291121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 05/06/2024] [Indexed: 06/26/2024] Open
Abstract
Tibetan sheep were introduced to the Qinghai Tibet plateau roughly 3,000 B.P., making this species a good model for investigating genetic mechanisms of high-altitude adaptation over a relatively short timescale. Here, we characterize genomic structural variants (SVs) that distinguish Tibetan sheep from closely related, low-altitude Hu sheep, and we examine associated changes in tissue-specific gene expression. We document differentiation between the two sheep breeds in frequencies of SVs associated with genes involved in cardiac function and circulation. In Tibetan sheep, we identified high-frequency SVs in a total of 462 genes, including EPAS1, PAPSS2, and PTPRD. Single-cell RNA-Seq data and luciferase reporter assays revealed that the SVs had cis-acting effects on the expression levels of these three genes in specific tissues and cell types. In Tibetan sheep, we identified a high-frequency chromosomal inversion that exhibited modified chromatin architectures relative to the noninverted allele that predominates in Hu sheep. The inversion harbors several genes with altered expression patterns related to heart protection, brown adipocyte proliferation, angiogenesis, and DNA repair. These findings indicate that SVs represent an important source of genetic variation in gene expression and may have contributed to high-altitude adaptation in Tibetan sheep.
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Affiliation(s)
- Xiaolong Liang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Qijiao Duan
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Bowen Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Yinjia Wang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Yueting Bu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Yonglu Zhang
- Fengjia Town Health Center, Rushan City, Weihai City264200, China
| | - Zhuoran Kuang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Leyan Mao
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Xuan An
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Huihua Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing100193, China
| | - Xiaojie Yang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Na Wan
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Zhilong Feng
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Wei Shen
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Weilan Miao
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Jiaqi Chen
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Sanyuan Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Jay F. Storz
- School of Biological Sciences, University of Nebraska, Lincoln, NE68588
| | - Jianquan Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Eviatar Nevo
- Institute of Evolution, University of Haifa, Haifa3498838, Israel
| | - Kexin Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
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Yang J, Wang DF, Huang JH, Zhu QH, Luo LY, Lu R, Xie XL, Salehian-Dehkordi H, Esmailizadeh A, Liu GE, Li MH. Structural variant landscapes reveal convergent signatures of evolution in sheep and goats. Genome Biol 2024; 25:148. [PMID: 38845023 PMCID: PMC11155191 DOI: 10.1186/s13059-024-03288-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 05/21/2024] [Indexed: 06/10/2024] Open
Abstract
BACKGROUND Sheep and goats have undergone domestication and improvement to produce similar phenotypes, which have been greatly impacted by structural variants (SVs). Here, we report a high-quality chromosome-level reference genome of Asiatic mouflon, and implement a comprehensive analysis of SVs in 897 genomes of worldwide wild and domestic populations of sheep and goats to reveal genetic signatures underlying convergent evolution. RESULTS We characterize the SV landscapes in terms of genetic diversity, chromosomal distribution and their links with genes, QTLs and transposable elements, and examine their impacts on regulatory elements. We identify several novel SVs and annotate corresponding genes (e.g., BMPR1B, BMPR2, RALYL, COL21A1, and LRP1B) associated with important production traits such as fertility, meat and milk production, and wool/hair fineness. We detect signatures of selection involving the parallel evolution of orthologous SV-associated genes during domestication, local environmental adaptation, and improvement. In particular, we find that fecundity traits experienced convergent selection targeting the gene BMPR1B, with the DEL00067921 deletion explaining ~10.4% of the phenotypic variation observed in goats. CONCLUSIONS Our results provide new insights into the convergent evolution of SVs and serve as a rich resource for the future improvement of sheep, goats, and related livestock.
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Affiliation(s)
- Ji Yang
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Dong-Feng Wang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Jia-Hui Huang
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Qiang-Hui Zhu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Ling-Yun Luo
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Ran Lu
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Xing-Long Xie
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Hosein Salehian-Dehkordi
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, 76169-133, Iran
| | - George E Liu
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, MD, 20705, USA
| | - Meng-Hua Li
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
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32
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Pang XX, Zhang DY. Detection of Ghost Introgression Requires Exploiting Topological and Branch Length Information. Syst Biol 2024; 73:207-222. [PMID: 38224495 PMCID: PMC11129598 DOI: 10.1093/sysbio/syad077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 12/17/2023] [Accepted: 12/27/2023] [Indexed: 01/17/2024] Open
Abstract
In recent years, the study of hybridization and introgression has made significant progress, with ghost introgression-the transfer of genetic material from extinct or unsampled lineages to extant species-emerging as a key area for research. Accurately identifying ghost introgression, however, presents a challenge. To address this issue, we focused on simple cases involving 3 species with a known phylogenetic tree. Using mathematical analyses and simulations, we evaluated the performance of popular phylogenetic methods, including HyDe and PhyloNet/MPL, and the full-likelihood method, Bayesian Phylogenetics and Phylogeography (BPP), in detecting ghost introgression. Our findings suggest that heuristic approaches relying on site-pattern counts or gene-tree topologies struggle to differentiate ghost introgression from introgression between sampled non-sister species, frequently leading to incorrect identification of donor and recipient species. The full-likelihood method BPP uses multilocus sequence alignments directly-hence taking into account both gene-tree topologies and branch lengths, by contrast, is capable of detecting ghost introgression in phylogenomic datasets. We analyzed a real-world phylogenomic dataset of 14 species of Jaltomata (Solanaceae) to showcase the potential of full-likelihood methods for accurate inference of introgression.
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Affiliation(s)
- Xiao-Xu Pang
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Da-Yong Zhang
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing 100875, China
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33
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Poncet M, Féménia M, Pierre C, Charles M, Capitan A, Boulling A, Rocha D. Nuclear sequences of mitochondrial origin in domestic yak. Sci Rep 2024; 14:10217. [PMID: 38702416 PMCID: PMC11068780 DOI: 10.1038/s41598-024-61147-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 05/02/2024] [Indexed: 05/06/2024] Open
Abstract
Mitochondrial DNA sequences are frequently transferred into the nuclear genome, generating nuclear mitochondrial DNA sequences (NUMTs). Here, we analysed, for the first time, NUMTs in the domestic yak genome. We obtained 499 alignment matches covering 340.2 kbp of the yak nuclear genome. After a merging step, we identified 167 NUMT regions with a total length of ~ 503 kbp, representing 0.02% of the nuclear genome. We discovered copies of all mitochondrial regions and found that most NUMT regions are intergenic or intronic and mostly untranscribed. 98 different NUMT regions from domestic yak showed high homology with cow and/or wild yak genomes, suggesting selection or hybridization between domestic/wild yak and cow. To rule out the possibility that the identified NUMTs could be artifacts of the domestic yak genome assembly, we validated experimentally five NUMT regions by PCR amplification. As NUMT regions show high similarity to the mitochondrial genome can potentially pose a risk to domestic yak DNA mitochondrial studies, special care is therefore needed to select primers for PCR amplification of mitochondrial DNA sequences.
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Affiliation(s)
- Mélissa Poncet
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - Maureen Féménia
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - Clémence Pierre
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - Mathieu Charles
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, 78350, Jouy-en-Josas, France
- INRAE, SIGENAE, 78350, Jouy-en-Josas, France
| | - Aurélien Capitan
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - Arnaud Boulling
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - Dominique Rocha
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
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34
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Ward JA, Ng'ang'a SI, Randhawa IAS, McHugo GP, O'Grady JF, Flórez JM, Browne JA, Pérez O’Brien AM, Landaeta-Hernández AJ, Garcia JF, Sonstegard TS, Frantz LAF, Salter-Townshend M, MacHugh DE. Genomic insights into the population history and adaptive traits of Latin American Criollo cattle. ROYAL SOCIETY OPEN SCIENCE 2024; 11:231388. [PMID: 38571912 PMCID: PMC10990470 DOI: 10.1098/rsos.231388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 01/04/2024] [Accepted: 01/31/2024] [Indexed: 04/05/2024]
Abstract
Criollo cattle, the descendants of animals brought by Iberian colonists to the Americas, have been the subject of natural and human-mediated selection in novel tropical agroecological zones for centuries. Consequently, these breeds have evolved distinct characteristics such as resistance to diseases and exceptional heat tolerance. In addition to European taurine (Bos taurus) ancestry, it has been proposed that gene flow from African taurine and Asian indicine (Bos indicus) cattle has shaped the ancestry of Criollo cattle. In this study, we analysed Criollo breeds from Colombia and Venezuela using whole-genome sequencing (WGS) and single-nucleotide polymorphism (SNP) array data to examine population structure and admixture at high resolution. Analysis of genetic structure and ancestry components provided evidence for African taurine and Asian indicine admixture in Criollo cattle. In addition, using WGS data, we detected selection signatures associated with a myriad of adaptive traits, revealing genes linked to thermotolerance, reproduction, fertility, immunity and distinct coat and skin coloration traits. This study underscores the remarkable adaptability of Criollo cattle and highlights the genetic richness and potential of these breeds in the face of climate change, habitat flux and disease challenges. Further research is warranted to leverage these findings for more effective and sustainable cattle breeding programmes.
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Affiliation(s)
- James A. Ward
- Animal Genomics Laboratory, School of Agriculture and Food Science, University College Dublin, DublinD04 V1W8, Ireland
| | - Said I. Ng'ang'a
- Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, MunichD-80539, Germany
- School of Biological and Chemical Sciences, Queen Mary University of London, LondonE1 4NS, UK
| | | | - Gillian P. McHugo
- Animal Genomics Laboratory, School of Agriculture and Food Science, University College Dublin, DublinD04 V1W8, Ireland
| | - John F. O'Grady
- Animal Genomics Laboratory, School of Agriculture and Food Science, University College Dublin, DublinD04 V1W8, Ireland
| | - Julio M. Flórez
- Acceligen, Eagan, MN55121, USA
- Department of Preventive Veterinary Medicine and Animal Reproduction, School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, Brazil
| | - John A. Browne
- Animal Genomics Laboratory, School of Agriculture and Food Science, University College Dublin, DublinD04 V1W8, Ireland
| | | | - Antonio J. Landaeta-Hernández
- Unidad de Investigaciones Zootécnicas, Facultad de Ciencias Veterinarias, Universidad del Zulia, Maracaibo, Venezuela
| | - Jóse F. Garcia
- Department of Preventive Veterinary Medicine and Animal Reproduction, School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, Brazil
| | | | - Laurent A. F. Frantz
- Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, MunichD-80539, Germany
- School of Biological and Chemical Sciences, Queen Mary University of London, LondonE1 4NS, UK
| | | | - David E. MacHugh
- Animal Genomics Laboratory, School of Agriculture and Food Science, University College Dublin, DublinD04 V1W8, Ireland
- Conway Institute of Biomolecular and Biomedical Research, University College Dublin, DublinD04 V1W8, Ireland
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35
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Guo S, Yu T, Wang X, Zhao S, Zhao E, Ainierlitu, Ba T, Gan M, Dong C, Naerlima, Yin L, Ke X, Dana D, Guo X. Whole-genome resequencing reveals the uniqueness of Subei yak. J Anim Sci 2024; 102:skae152. [PMID: 38832496 PMCID: PMC11217902 DOI: 10.1093/jas/skae152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 06/03/2024] [Indexed: 06/05/2024] Open
Abstract
Subei yak is an essential local yak in the Gansu Province, which genetic resource has recently been discovered. It is a meat-milk dual-purpose variety with high fecundity and relatively stable population genetic structure. However, its population genetic structure and genetic diversity are yet to be reported. Therefore, this study aimed to identify molecular markers of Subei yak genome by whole-genome resequencing, and to analyze the population structure and genetic diversity of Subei yak. This study screened 12,079,496 single nucleotide polymorphism (SNP) molecular markers in the 20 Subei yaks genome using whole-genome resequencing technology. Of these SNPs, 32.09% were located in the intronic region of the genome. Principal component analysis, phylogenetic analysis, and population structure analysis revealed that the Subei yak belonged to an independent group in the domestic yak population. A selective clearance analysis was carried out on Subei yak and other domestic yaks, and the genes under positive selection were annotated. The functional enrichment analysis showed that Subei yak possessed prominent selection characteristics in terms of external environment perception, hypoxia adaptation, and muscle development. Furthermore, Subei yak showed excellent muscle fat deposition and meat quality traits. Thus, this study will serve as a reference for discovering population structure, genetic evolution, and other unique traits of Subei yak and for expanding the genetic variation catalog of yaks.
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Affiliation(s)
- Shaoke Guo
- Key Laboratory of Yak Breeding Engineering in Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, 730050, China
| | - Tianjun Yu
- Center of Animal Husbandry and Veterinary Technology Services in Subei Mongolian Autonomous County of Gansu Province, Subei, 736300, China
| | - Xingdong Wang
- Key Laboratory of Yak Breeding Engineering in Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, 730050, China
| | - Shuangquan Zhao
- Center of Animal Husbandry and Veterinary Technology Services in Subei Mongolian Autonomous County of Gansu Province, Subei, 736300, China
| | - Erjun Zhao
- Center of Animal Husbandry and Veterinary Technology Services in Subei Mongolian Autonomous County of Gansu Province, Subei, 736300, China
| | - Ainierlitu
- Center of Animal Husbandry and Veterinary Technology Services in Subei Mongolian Autonomous County of Gansu Province, Subei, 736300, China
| | - Teer Ba
- Center of Animal Husbandry and Veterinary Technology Services in Subei Mongolian Autonomous County of Gansu Province, Subei, 736300, China
| | - Manyu Gan
- Center of Animal Husbandry and Veterinary Technology Services in Subei Mongolian Autonomous County of Gansu Province, Subei, 736300, China
| | - Cunmei Dong
- Center of Animal Husbandry and Veterinary Technology Services in Subei Mongolian Autonomous County of Gansu Province, Subei, 736300, China
| | - Naerlima
- Center of Animal Husbandry and Veterinary Technology Services in Subei Mongolian Autonomous County of Gansu Province, Subei, 736300, China
| | - Lian Yin
- Center of Animal Husbandry and Veterinary Technology Services in Subei Mongolian Autonomous County of Gansu Province, Subei, 736300, China
| | - Xikou Ke
- Center of Animal Husbandry and Veterinary Technology Services in Subei Mongolian Autonomous County of Gansu Province, Subei, 736300, China
| | - Dawuti Dana
- Center of Animal Husbandry and Veterinary Technology Services in Subei Mongolian Autonomous County of Gansu Province, Subei, 736300, China
| | - Xian Guo
- Key Laboratory of Yak Breeding Engineering in Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, 730050, China
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36
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Lee FS. Hypoxia Inducible Factor pathway proteins in high-altitude mammals. Trends Biochem Sci 2024; 49:79-92. [PMID: 38036336 PMCID: PMC10841901 DOI: 10.1016/j.tibs.2023.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/01/2023] [Accepted: 11/03/2023] [Indexed: 12/02/2023]
Abstract
Humans and other mammals inhabit hypoxic high-altitude locales. In many of these species, genes under positive selection include ones in the Hypoxia Inducible Factor (HIF) pathway. One is PHD2 (EGLN1), which encodes for a key oxygen sensor. Another is HIF2A (EPAS1), which encodes for a PHD2-regulated transcription factor. Recent studies have provided insights into mechanisms for these high-altitude alleles. These studies have (i) shown that selection can occur on nonconserved, unstructured regions of proteins, (ii) revealed that high altitude-associated amino acid substitutions can have differential effects on protein-protein interactions, (iii) provided evidence for convergent evolution by different molecular mechanisms, and (iv) suggested that mutations in different genes can complement one another to produce a set of adaptive phenotypes.
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Affiliation(s)
- Frank S Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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37
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Li J, Chen Z, Bai Y, Wei Y, Guo D, Liu Z, Niu Y, Shi B, Zhang X, Cai Y, Zhao Z, Hu J, Wang J, Liu X, Li S, Zhao F. Integration of ATAC-Seq and RNA-Seq Analysis to Identify Key Genes in the Longissimus Dorsi Muscle Development of the Tianzhu White Yak. Int J Mol Sci 2023; 25:158. [PMID: 38203329 PMCID: PMC10779322 DOI: 10.3390/ijms25010158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 12/18/2023] [Accepted: 12/20/2023] [Indexed: 01/12/2024] Open
Abstract
During the postnatal stages, skeletal muscle development undergoes a series of meticulously regulated alterations in gene expression. However, limited studies have employed chromatin accessibility to unravel the underlying molecular mechanisms governing muscle development in yak species. Therefore, we conducted an analysis of both gene expression levels and chromatin accessibility to comprehensively characterize the dynamic genome-wide chromatin accessibility during muscle growth and development in the Tianzhu white yak, thereby elucidating the features of accessible chromatin regions throughout this process. Initially, we compared the differences in chromatin accessibility between two groups and observed that calves exhibited higher levels of chromatin accessibility compared to adult cattle, particularly within ±2 kb of the transcription start site (TSS). In order to investigate the correlation between alterations in chromatin accessible regions and variations in gene expression levels, we employed a combination of ATAC-seq and RNA-seq techniques, leading to the identification of 18 central transcriptional factors (TFs) and 110 key genes with significant effects. Through further analysis, we successfully identified several TFs, including Sp1, YY1, MyoG, MEF2A and MEF2C, as well as a number of candidate genes (ANKRD2, ANKRD1, BTG2 and LMOD3) which may be closely associated with muscle growth and development. Moreover, we constructed an interactive network program encompassing hub TFs and key genes related to muscle growth and development. This innovative approach provided valuable insights into the molecular mechanism underlying skeletal muscle development in the postnatal stages of Tianzhu white yaks while also establishing a solid theoretical foundation for future research on yak muscle development.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Zhidong Zhao
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
| | - Jiang Hu
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
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38
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Chen N, Zhang Z, Hou J, Chen J, Gao X, Tang L, Wangdue S, Zhang X, Sinding MHS, Liu X, Han J, Lü H, Lei C, Marshall F, Liu X. Evidence for early domestic yak, taurine cattle, and their hybrids on the Tibetan Plateau. SCIENCE ADVANCES 2023; 9:eadi6857. [PMID: 38091398 PMCID: PMC10848728 DOI: 10.1126/sciadv.adi6857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 11/07/2023] [Indexed: 12/18/2023]
Abstract
Domestic yak, cattle, and their hybrids are fundamental to herder survival at high altitudes on the Tibetan Plateau. However, little is known about their history. Bos remains are uncommon in this region, and ancient domestic yak have not been securely identified. To identify Bos taxa and investigate their initial management, we conducted zooarchaeological analyses of 193 Bos specimens and sequenced five nuclear genomes from recently excavated assemblages at Bangga. Morphological data indicated that more cattle than yak were present. Ancient mitochondrial DNA and nuclear genome sequences identified taurine cattle and provided evidence for domestic yak and yak-cattle hybridization ~2500 years ago. Reliance on diverse Bos species and their hybrid has increased cattle adaptation and herder resilience to plateau conditions. Ancient cattle and yak at Bangga were closely related to contemporary livestock, indicating early herder legacies and the continuity of cattle and yak husbandry on the Tibetan Plateau.
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Affiliation(s)
- Ningbo Chen
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, P. R. China
| | - Zhengwei Zhang
- Center for Archaeological Science, Sichuan University, Chengdu 610065, P. R. China
| | - Jiawen Hou
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, P. R. China
| | - Jialei Chen
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, P. R. China
| | - Xuan Gao
- Center for Archaeological Science, Sichuan University, Chengdu 610065, P. R. China
| | - Li Tang
- Department of Archaeology, Max Planck Institute of Geoanthropology, Jena 07745, Germany
- Domestication and Anthropogenic Evolution Research Group, Max Planck Institute of Geoanthropology, Jena 07745, Germany
| | - Shargan Wangdue
- Institute for Conservation and Research of Cultural Relics of Tibet Autonomous Region, Lhasa 850000, China
| | - Xiaoming Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences (CAS), Kunming 650201, P. R. China
| | - Mikkel-Holger S. Sinding
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen DK-1350, Denmark
| | - Xuexue Liu
- National Germplasm Centre of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, P. R. China
- Centre for Anthropobiology and Genomics of Toulouse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, Toulouse 31000, France
| | - Jianlin Han
- Yazhouwan National Laboratory, Sanya 572024, P. R. China
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, P. R. China
| | - Hongliang Lü
- Center for Archaeological Science, Sichuan University, Chengdu 610065, P. R. China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, P. R. China
| | - Fiona Marshall
- Department of Anthropology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Xinyi Liu
- Department of Anthropology, Washington University in St. Louis, St. Louis, MO 63130, USA
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39
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Kim K, Kim D, Hanotte O, Lee C, Kim H, Jeong C. Inference of Admixture Origins in Indigenous African Cattle. Mol Biol Evol 2023; 40:msad257. [PMID: 37995300 PMCID: PMC10701095 DOI: 10.1093/molbev/msad257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 10/12/2023] [Accepted: 11/14/2023] [Indexed: 11/25/2023] Open
Abstract
Present-day African cattle retain a unique genetic profile composed of a mixture of the Bos taurus and Bos indicus populations introduced into the continent at different time periods. However, details of the admixture history and the exact origins of the source populations remain obscure. Here, we infer the source of admixture in the earliest domestic cattle in Africa, African taurine. We detect a significant contribution (up to ∼20%) from a basal taurine lineage, which might represent the now-extinct African aurochs. In addition, we show that the indicine ancestry of African cattle, although most closely related to so-far sampled North Indian indicine breeds, has a small amount of additional genetic affinity to Southeast Asian indicine breeds. Our findings support the hypothesis of aurochs introgression into African taurine and generate a novel hypothesis that the origin of indicine ancestry in Africa might be different indicine populations than the ones found in North India today.
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Affiliation(s)
- Kwondo Kim
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Donghee Kim
- School of Biological Sciences, Seoul National University, Seoul, Republic of Korea
| | - Olivier Hanotte
- LiveGene, International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia
- The Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute, The University of Edinburgh, Midlothian, UK
- School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Heebal Kim
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
- eGnome, Inc., Seoul, Republic of Korea
| | - Choongwon Jeong
- School of Biological Sciences, Seoul National University, Seoul, Republic of Korea
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40
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Chen N, Xia X, Hanif Q, Zhang F, Dang R, Huang B, Lyu Y, Luo X, Zhang H, Yan H, Wang S, Wang F, Chen J, Guan X, Liu Y, Li S, Jin L, Wang P, Sun L, Zhang J, Liu J, Qu K, Cao Y, Sun J, Liao Y, Xiao Z, Cai M, Mu L, Siddiki AZ, Asif M, Mansoor S, Babar ME, Hussain T, Silva GLLP, Gorkhali NA, Terefe E, Belay G, Tijjani A, Zegeye T, Gebre MG, Ma Y, Wang Y, Huang Y, Lan X, Chen H, Migliore NR, Colombo G, Semino O, Achilli A, Sinding MHS, Lenstra JA, Cheng H, Lu W, Hanotte O, Han J, Jiang Y, Lei C. Global genetic diversity, introgression, and evolutionary adaptation of indicine cattle revealed by whole genome sequencing. Nat Commun 2023; 14:7803. [PMID: 38016956 PMCID: PMC10684552 DOI: 10.1038/s41467-023-43626-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 11/14/2023] [Indexed: 11/30/2023] Open
Abstract
Indicine cattle, also referred to as zebu (Bos taurus indicus), play a central role in pastoral communities across a wide range of agro-ecosystems, from extremely hot semiarid regions to hot humid tropical regions. However, their adaptive genetic changes following their dispersal into East Asia from the Indian subcontinent have remained poorly documented. Here, we characterize their global genetic diversity using high-quality whole-genome sequencing data from 354 indicine cattle of 57 breeds/populations, including major indicine phylogeographic groups worldwide. We reveal their probable migration into East Asia was along a coastal route rather than inland routes and we detected introgression from other bovine species. Genomic regions carrying morphology-, immune-, and heat-tolerance-related genes underwent divergent selection according to Asian agro-ecologies. We identify distinct sets of loci that contain promising candidate variants for adaptation to hot semi-arid and hot humid tropical ecosystems. Our results indicate that the rapid and successful adaptation of East Asian indicine cattle to hot humid environments was promoted by localized introgression from banteng and/or gaur. Our findings provide insights into the history and environmental adaptation of indicine cattle.
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Affiliation(s)
- Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xiaoting Xia
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Quratulain Hanif
- National Institute for Biotechnology and Genetic Engineering, Faisalabad, 38000, Pakistan
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), 100193, Beijing, China
| | - Fengwei Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Ruihua Dang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, 650212, China
| | - Yang Lyu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xiaoyu Luo
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Hucai Zhang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environment Science, Yunnan University, Kunming, 650500, China
| | - Huixuan Yan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Shikang Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Fuwen Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Jialei Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xiwen Guan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Yangkai Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Shuang Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Liangliang Jin
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Pengfei Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Luyang Sun
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, 650212, China
| | - Jianyong Liu
- Yunnan Academy of Grassland and Animal Science, Kunming, 650212, China
| | - Kaixing Qu
- Academy of Science and Technology, Chuxiong Normal University, Chuxiong, 675000, China
| | - Yanhong Cao
- Guangxi Vocational University of Agriculture, Nanning, 530007, China
| | - Junli Sun
- Guangxi Vocational University of Agriculture, Nanning, 530007, China
| | - Yuying Liao
- Guangxi Veterinary Research Institute, Guangxi Key Laboratory of Veterinary Biotechnology, Nanning, 530001, China
| | - Zhengzhong Xiao
- Guangxi Vocational University of Agriculture, Nanning, 530007, China
| | - Ming Cai
- Yunnan Academy of Grassland and Animal Science, Kunming, 650212, China
| | - Lan Mu
- College of Landscape and Horticulture, Southwest Forestry University, Kunming, 650224, China
| | - Amam Zonaed Siddiki
- Genomics Research Group, Department of Pathology and Parasitology, Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University (CVASU), Chattogram, 4225, Bangladesh
| | - Muhammad Asif
- National Institute for Biotechnology and Genetic Engineering, Faisalabad, 38000, Pakistan
| | - Shahid Mansoor
- National Institute for Biotechnology and Genetic Engineering, Faisalabad, 38000, Pakistan
| | - Masroor Ellahi Babar
- The University of Agriculture, Dera Ismail Khan, Khyber Pakhtunkhwa, 29050, Pakistan
| | - Tanveer Hussain
- Department of Molecular Biology, Virtual University of Pakistan, Islamabad, 44100, Pakistan
| | | | - Neena Amatya Gorkhali
- National Animal Breeding and Genetics Centre, National Animal Science Research Institute, Nepal Agriculture Research Council, Khumaltar, Lalitpur, 45200, Nepal
| | - Endashaw Terefe
- College of Agriculture and Environmental Science, Department of Animal Science, Arsi University, Asella, Ethiopia
- International Livestock Research Institute (ILRI), P.O. Box 5689, 1000, Addis Ababa, Ethiopia
| | - Gurja Belay
- College of Natural and Computational Sciences, The School of Graduate Studies, Addis Ababa University, 1000, Addis Ababa, Ethiopia
| | - Abdulfatai Tijjani
- International Livestock Research Institute (ILRI), P.O. Box 5689, 1000, Addis Ababa, Ethiopia
- The Jackson Laboratory, Bar Harbor, ME, 04609, USA
| | - Tsadkan Zegeye
- Mekelle Agricultural Research Center, P.O. Box 258, 7000, Mekelle, Tigray, Ethiopia
| | - Mebrate Genet Gebre
- School of Animal and Rangeland Science, College of Agriculture, Haramaya University, 2040, Haramaya, Oromia, Ethiopia
| | - Yun Ma
- Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, School of Agriculture, Ningxia University, Yinchuan, 750000, China
| | - Yu Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Yongzhen Huang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xianyong Lan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Hong Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Nicola Rambaldi Migliore
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100, Pavia, Italy
| | - Giulia Colombo
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100, Pavia, Italy
| | - Ornella Semino
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100, Pavia, Italy
| | - Alessandro Achilli
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100, Pavia, Italy
| | - Mikkel-Holger S Sinding
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, DK-1350, Copenhagen, Denmark
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, 3584 CM, Utrecht, The Netherlands
| | - Haijian Cheng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Shandong Key Lab of Animal Disease Control and Breeding, Jinan, 250100, China
| | - Wenfa Lu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, 130118, China
| | - Olivier Hanotte
- International Livestock Research Institute (ILRI), P.O. Box 5689, 1000, Addis Ababa, Ethiopia.
- School of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.
| | - Jianlin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), 100193, Beijing, China.
- Livestock Genetics Program, International Livestock Research Institute (ILRI), 00100, Nairobi, Kenya.
- Yazhouwan National Laboratory, Sanya, 572024, China.
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, China.
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
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41
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Liu X, Liu W, Lenstra JA, Zheng Z, Wu X, Yang J, Li B, Yang Y, Qiu Q, Liu H, Li K, Liang C, Guo X, Ma X, Abbott RJ, Kang M, Yan P, Liu J. Evolutionary origin of genomic structural variations in domestic yaks. Nat Commun 2023; 14:5617. [PMID: 37726270 PMCID: PMC10509194 DOI: 10.1038/s41467-023-41220-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 08/23/2023] [Indexed: 09/21/2023] Open
Abstract
Yak has been subject to natural selection, human domestication and interspecific introgression during its evolution. However, genetic variants favored by each of these processes have not been distinguished previously. We constructed a graph-genome for 47 genomes of 7 cross-fertile bovine species. This allowed detection of 57,432 high-resolution structural variants (SVs) within and across the species, which were genotyped in 386 individuals. We distinguished the evolutionary origins of diverse SVs in domestic yaks by phylogenetic analyses. We further identified 334 genes overlapping with SVs in domestic yaks that bore potential signals of selection from wild yaks, plus an additional 686 genes introgressed from cattle. Nearly 90% of the domestic yaks were introgressed by cattle. Introgression of an SV spanning the KIT gene triggered the breeding of white domestic yaks. We validated a significant association of the selected stratified SVs with gene expression, which contributes to phenotypic variations. Our results highlight that SVs of different origins contribute to the phenotypic diversity of domestic yaks.
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Affiliation(s)
- Xinfeng Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
- Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining, 810016, China
| | - Wenyu Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, 3508 TD, The Netherlands
| | - Zeyu Zheng
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Xiaoyun Wu
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Jiao Yang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Bowen Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Yongzhi Yang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Qiang Qiu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Hongyu Liu
- Anhui Provincial Laboratory of Local Livestock and Poultry Genetical Resource Conservation and Breeding, College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, China
| | - Kexin Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Chunnian Liang
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Xian Guo
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Xiaoming Ma
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Richard J Abbott
- School of Biology, University of St Andrews, St Andrews, KY16 9AJ, UK
| | - Minghui Kang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.
| | - Ping Yan
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.
| | - Jianquan Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.
- Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining, 810016, China.
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42
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Xia X, Zhang F, Li S, Luo X, Peng L, Dong Z, Pausch H, Leonard AS, Crysnanto D, Wang S, Tong B, Lenstra JA, Han J, Li F, Xu T, Gu L, Jin L, Dang R, Huang Y, Lan X, Ren G, Wang Y, Gao Y, Ma Z, Cheng H, Ma Y, Chen H, Pang W, Lei C, Chen N. Structural variation and introgression from wild populations in East Asian cattle genomes confer adaptation to local environment. Genome Biol 2023; 24:211. [PMID: 37723525 PMCID: PMC10507960 DOI: 10.1186/s13059-023-03052-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 09/07/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND Structural variations (SVs) in individual genomes are major determinants of complex traits, including adaptability to environmental variables. The Mongolian and Hainan cattle breeds in East Asia are of taurine and indicine origins that have evolved to adapt to cold and hot environments, respectively. However, few studies have investigated SVs in East Asian cattle genomes and their roles in environmental adaptation, and little is known about adaptively introgressed SVs in East Asian cattle. RESULTS In this study, we examine the roles of SVs in the climate adaptation of these two cattle lineages by generating highly contiguous chromosome-scale genome assemblies. Comparison of the two assemblies along with 18 Mongolian and Hainan cattle genomes obtained by long-read sequencing data provides a catalog of 123,898 nonredundant SVs. Several SVs detected from long reads are in exons of genes associated with epidermal differentiation, skin barrier, and bovine tuberculosis resistance. Functional investigations show that a 108-bp exonic insertion in SPN may affect the uptake of Mycobacterium tuberculosis by macrophages, which might contribute to the low susceptibility of Hainan cattle to bovine tuberculosis. Genotyping of 373 whole genomes from 39 breeds identifies 2610 SVs that are differentiated along a "north-south" gradient in China and overlap with 862 related genes that are enriched in pathways related to environmental adaptation. We identify 1457 Chinese indicine-stratified SVs that possibly originate from banteng and are frequent in Chinese indicine cattle. CONCLUSIONS Our findings highlight the unique contribution of SVs in East Asian cattle to environmental adaptation and disease resistance.
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Affiliation(s)
- Xiaoting Xia
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
| | - Fengwei Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
| | - Shuang Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
| | - Xiaoyu Luo
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
| | - Lixin Peng
- National Engineering Research Center for Non-Food Biorefinery, Guangxi Academy of Sciences, 98 Daling Road, Nanning, China
| | - Zheng Dong
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
| | - Hubert Pausch
- Animal Genomics, ETH Zurich, Universitaetstrasse 2, 8006, Zurich, Switzerland
| | - Alexander S Leonard
- Animal Genomics, ETH Zurich, Universitaetstrasse 2, 8006, Zurich, Switzerland
| | - Danang Crysnanto
- Animal Genomics, ETH Zurich, Universitaetstrasse 2, 8006, Zurich, Switzerland
| | - Shikang Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
| | - Bin Tong
- The State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, China
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Jianlin Han
- Livestock Genetics Program, International Livestock Research Institute (ILRI), Nairobi, Kenya
- CAAS-ILRI Joint Laboratory On Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agriculture Sciences (CAAS), Beijing, China
| | - Fuyong Li
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China
| | - Tieshan Xu
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Lihong Gu
- Institute of Animal Science & Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou, China
| | - Liangliang Jin
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
| | - Ruihua Dang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
| | - Yongzhen Huang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
| | - Xianyong Lan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
| | - Gang Ren
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
| | - Yu Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
| | - Yuanpeng Gao
- College of Veterinary Medicine, Northwest A&F University, Xianyang, Yangling, China
| | - Zhijie Ma
- Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
| | - Haijian Cheng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Shandong Key Lab of Animal Disease Control and Breeding, Jinan, China
| | - Yun Ma
- Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, School of Agriculture, Ningxia University, Yinchuan, China
| | - Hong Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China
| | - Weijun Pang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China.
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China.
| | - Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang, China.
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Brunson K, Witt KE, Monge S, Williams S, Peede D, Odsuren D, Bukhchuluun D, Cameron A, Szpak P, Amartuvshin C, Honeychurch W, Wright J, Pleuger S, Erdene M, Tumen D, Rogers L, Khatanbaatar D, Batdalai B, Galdan G, Janz L. Ancient Mongolian aurochs genomes reveal sustained introgression and management in East Asia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.10.552443. [PMID: 37609302 PMCID: PMC10441390 DOI: 10.1101/2023.08.10.552443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Societies in East Asia have utilized domesticated cattle for over 5000 years, but the genetic history of cattle in East Asia remains understudied. Genome-wide analyses of 23 ancient Mongolian cattle reveal that East Asian aurochs and ancient East Asian taurine cattle are closely related, but neither are closely related to any modern East Asian breeds. We observe binary variation in aurochs diet throughout the early Neolithic, and genomic evidence shows millennia of sustained male-dominated introgression. We identify a unique connection between ancient Mongolian aurochs and the European Hereford breed. These results point to the likelihood of human management of aurochs in Northeast Asia prior to and during the initial adoption of taurine cattle pastoralism.
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Affiliation(s)
| | - Kelsey E. Witt
- Department of Genetics and Biochemistry and Center for Human Genetics, Clemson University; Clemson, South Carolina 29634, USA
- Center for Computational Molecular Biology, Brown University; Providence 02912, USA
- Department of Ecology, Evolution, and Organismal Biology, Brown University; Providence 02912, USA
| | - Susan Monge
- Department of Anthropology, University of Illinois Chicago, Chicago, IL 60607, USA
| | - Sloan Williams
- Department of Anthropology, University of Illinois Chicago, Chicago, IL 60607, USA
| | - David Peede
- Center for Computational Molecular Biology, Brown University; Providence 02912, USA
- Department of Ecology, Evolution, and Organismal Biology, Brown University; Providence 02912, USA
- Institute at Brown for Environment and Society, Brown University; Providence 02912, USA
| | - Davaakhuu Odsuren
- Department of History, Mongolian National University of Education; Ulaanbaatar, Sukhbaatar district, 210648, Mongolia
- Institute of Archaeology, Mongolian Academy of Sciences, Ulaanbaatar-51, Mongolia
| | - Dashzeveg Bukhchuluun
- Department of Anthropology, Yale University, 10 Sachem St., New Haven, CT 06511, USA
| | - Asa Cameron
- Department of Anthropology, Yale University, 10 Sachem St., New Haven, CT 06511, USA
| | - Paul Szpak
- Department of Anthropology, Trent University; Peterborough K9J 6Y1, Canada
| | - Chunag Amartuvshin
- Department of Anthropology and Archaeology, National University of Mongolia; Ulaanbaatar-51, Mongolia
| | - William Honeychurch
- Department of Anthropology, Yale University, 10 Sachem St., New Haven, CT 06511, USA
| | - Joshua Wright
- Department of Archaeology, University of Aberdeen, King’s College; Aberdeen, AB24 3FX, UK
| | - Sarah Pleuger
- School of History, Classics and Archaeology, University of Edinburgh; Edinburgh EH8 9AG, UK
| | - Myagmar Erdene
- Department of Anthropology and Archaeology, National University of Mongolia; Ulaanbaatar-51, Mongolia
| | - Dashtseveg Tumen
- Department of Anthropology and Archaeology, National University of Mongolia; Ulaanbaatar-51, Mongolia
| | - Leland Rogers
- Department of Anthropology, University of North Carolina Wilmington; Wilmington, NC 28403, USA
| | - Dorjpurev Khatanbaatar
- School of Business Administration and Humanities, The Mongolian University of Science and Technology; Mongolia
| | - Byambatseren Batdalai
- Archaeological Research Center, National University of Mongolia; Ulaanbaatar-51, Mongolia
| | - Ganbaatar Galdan
- Institute of Archaeology, Mongolian Academy of Sciences, Ulaanbaatar-51, Mongolia
| | - Lisa Janz
- Department of Anthropology, University of Toronto Scarborough; Scarborough, ON M1C 1A4, Canada
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Jabin G, Joshi BD, Wang MS, Mukherjee T, Dolker S, Wang S, Chandra K, Chinnadurai V, Sharma LK, Thakur M. Mid-Pleistocene Transitions Forced Himalayan ibex to Evolve Independently after Split into an Allopatric Refugium. BIOLOGY 2023; 12:1097. [PMID: 37626983 PMCID: PMC10451794 DOI: 10.3390/biology12081097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/27/2023]
Abstract
Pleistocene glaciations had profound impact on the spatial distribution and genetic makeup of species in temperate ecosystems. While the glacial period trapped several species into glacial refugia and caused abrupt decline in large populations, the interglacial period facilitated population growth and range expansion leading to allopatric speciation. Here, we analyzed 40 genomes of four species of ibex and found that Himalayan ibex in the Pamir Mountains evolved independently after splitting from its main range about 0.1 mya following the Pleistocene species pump concept. Demographic trajectories showed Himalayan ibex experienced two historic bottlenecks, one each c. 0.8-0.5 mya and c. 50-30 kya, with an intermediate large population expansion c. 0.2-0.16 mya coinciding with Mid-Pleistocene Transitions. We substantiate with multi-dimensional evidence that Himalayan ibex is an evolutionary distinct phylogenetic species of Siberian ibex which need to be prioritized as Capra himalayensis for taxonomic revision and conservation planning at a regional and global scale.
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Affiliation(s)
- Gul Jabin
- Zoological Survey of India, Kolkata 700053, India
- Department of Zoology, University of Calcutta, Kolkata 700019, India
| | | | - Ming-Shan Wang
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | | | - Stanzin Dolker
- Zoological Survey of India, Kolkata 700053, India
- Department of Zoology, University of Calcutta, Kolkata 700019, India
| | - Sheng Wang
- Kunming Institute of Zoology, Kunming 650223, China
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45
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Dai X, Bian P, Hu D, Luo F, Huang Y, Jiao S, Wang X, Gong M, Li R, Cai Y, Wen J, Yang Q, Deng W, Nanaei HA, Wang Y, Wang F, Zhang Z, Rosen BD, Heller R, Jiang Y. A Chinese indicine pangenome reveals a wealth of novel structural variants introgressed from other Bos species. Genome Res 2023; 33:1284-1298. [PMID: 37714713 PMCID: PMC10547261 DOI: 10.1101/gr.277481.122] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 06/30/2023] [Indexed: 09/17/2023]
Abstract
Chinese indicine cattle harbor a much higher genetic diversity compared with other domestic cattle, but their genome architecture remains uninvestigated. Using PacBio HiFi sequencing data from 10 Chinese indicine cattle across southern China, we assembled 20 high-quality partially phased genomes and integrated them into a multiassembly graph containing 148.5 Mb (5.6%) of novel sequence. We identified 156,009 high-confidence nonredundant structural variants (SVs) and 206 SV hotspots spanning ∼195 Mb of gene-rich sequence. We detected 34,249 archaic introgressed fragments in Chinese indicine cattle covering 1.93 Gb (73.3%) of the genome. We inferred an average of 3.8%, 3.2%, 1.4%, and 0.5% of introgressed sequence originating, respectively, from banteng-like, kouprey-like, gayal-like, and gaur-like Bos species, as well as 0.6% of unknown origin. Introgression from multiple donors might have contributed to the genetic diversity of Chinese indicine cattle. Altogether, this study highlights the contribution of interspecies introgression to the genomic architecture of an important livestock population and shows how exotic genomic elements can contribute to the genetic variation available for selection.
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Affiliation(s)
- Xuelei Dai
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Peipei Bian
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Dexiang Hu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Funong Luo
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yongzhen Huang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Shaohua Jiao
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xihong Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Mian Gong
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Ran Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yudong Cai
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jiayue Wen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Qimeng Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Weidong Deng
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Hojjat Asadollahpour Nanaei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
- Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran 1983969412, Iran
| | - Yu Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Fei Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zijing Zhang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Benjamin D Rosen
- Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, Maryland 20705, USA
| | - Rasmus Heller
- Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark;
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China;
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
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Xia X, Qu K, Wang Y, Sinding MHS, Wang F, Hanif Q, Ahmed Z, Lenstra JA, Han J, Lei C, Chen N. Global dispersal and adaptive evolution of domestic cattle: a genomic perspective. STRESS BIOLOGY 2023; 3:8. [PMID: 37676580 PMCID: PMC10441868 DOI: 10.1007/s44154-023-00085-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 03/26/2023] [Indexed: 09/08/2023]
Abstract
Domestic cattle have spread across the globe and inhabit variable and unpredictable environments. They have been exposed to a plethora of selective pressures and have adapted to a variety of local ecological and management conditions, including UV exposure, diseases, and stall-feeding systems. These selective pressures have resulted in unique and important phenotypic and genetic differences among modern cattle breeds/populations. Ongoing efforts to sequence the genomes of local and commercial cattle breeds/populations, along with the growing availability of ancient bovid DNA data, have significantly advanced our understanding of the genomic architecture, recent evolution of complex traits, common diseases, and local adaptation in cattle. Here, we review the origin and spread of domestic cattle and illustrate the environmental adaptations of local cattle breeds/populations.
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Affiliation(s)
- Xiaoting Xia
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Kaixing Qu
- Academy of Science and Technology, Chuxiong Normal University, Chuxiong, 675000, China
| | - Yan Wang
- Qingdao Municipal Bureau of Agriculture and Rural Affairs, Qingdao, 266000, China
| | - Mikkel-Holger S Sinding
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, 1350, Denmark
| | - Fuwen Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Quratulain Hanif
- National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
| | - Zulfiqar Ahmed
- Faculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Azad Jammu and Kashmir, 12350, Pakistan
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Jianlin Han
- Livestock Genetic Program, International Livestock Research Institute (ILRI), Nairobi, 00100, Kenya
- CAAS-ILRI Joint Laboratory On Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
| | - Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
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Zhang MZ, Xu JP, Callac P, Chen MY, Wu Q, Wach M, Mata G, Zhao RL. Insight into the evolutionary and domesticated history of the most widely cultivated mushroom Agaricus bisporus via mitogenome sequences of 361 global strains. BMC Genomics 2023; 24:182. [PMID: 37020265 PMCID: PMC10077685 DOI: 10.1186/s12864-023-09257-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/20/2023] [Indexed: 04/07/2023] Open
Abstract
Agaricus bisporus is the most widely cultivated edible mushroom in the world with a only around three hundred years known history of cultivation. Therefore, it represents an ideal organism not only to investigate the natural evolutionary history but also the understanding on the evolution going back to the early era of domestication. In this study, we generated the mitochondrial genome sequences of 352 A. bisporus strains and 9 strains from 4 closely related species around the world. The population mitogenomic study revealed all A. bisporus strains can be divided into seven clades, and all domesticated cultivars present only in two of those clades. The molecular dating analysis showed this species origin in Europe on 4.6 Ma and we proposed the main dispersal routes. The detailed mitogenome structure studies showed that the insertion of the plasmid-derived dpo gene caused a long fragment (MIR) inversion, and the distributions of the fragments of dpo gene were strictly in correspondence with these seven clades. Our studies also showed A. bisporus population contains 30 intron distribution patterns (IDPs), while all cultivars contain only two IDPs, which clearly exhibit intron loss compared to the others. Either the loss occurred before or after domestication, that could suggest that the change facilitates their adaptation to the cultivated environment.
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Affiliation(s)
- Ming-Zhe Zhang
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, No3 1St Beichen West Road, Beijing, 100101, Chaoyang District, China
- College of Life Sciences, University of Chinese Academy of Sciences, Huairou District, Beijing, 101408, China
| | - Jian-Ping Xu
- Department of Biology, McMaster University, Hamilton, ON, Canada
| | | | - Mei-Yuan Chen
- Edible Fungi Institute of Fujian Academy of Agricultural Sciences, Fuzhou, 350014, China
| | - Qi Wu
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, No3 1St Beichen West Road, Beijing, 100101, Chaoyang District, China
- College of Life Sciences, University of Chinese Academy of Sciences, Huairou District, Beijing, 101408, China
| | - Mark Wach
- Sylvan BioSciences, Kittanning, PA, 16201, USA
| | - Gerardo Mata
- Instituto de Ecología A.C. Carretera Antigua a Coatepec, 351, El Haya, 91073, Veracruz, CPXalapa, Mexico
| | - Rui-Lin Zhao
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, No3 1St Beichen West Road, Beijing, 100101, Chaoyang District, China.
- College of Life Sciences, University of Chinese Academy of Sciences, Huairou District, Beijing, 101408, China.
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48
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Liu Y, Mu Y, Wang W, Ahmed Z, Wei X, Lei C, Ma Z. Analysis of genomic copy number variations through whole-genome scan in Chinese Qaidam cattle. Front Vet Sci 2023; 10:1148070. [PMID: 37065216 PMCID: PMC10103646 DOI: 10.3389/fvets.2023.1148070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 03/01/2023] [Indexed: 04/03/2023] Open
Abstract
Qaidam cattle (CDM) are indigenous breed inhabiting Northwest China. In the present study, we newly sequenced 20 Qaidam cattle to investigate the copy number variants (CNVs) based on the ARS-UMD1.2 reference genome. We generated the CNV region (CNVR) datasets to explore the genomic CNV diversity and population stratification. The other four cattle breeds (Xizang cattle, XZ; Kazakh cattle, HSK; Mongolian cattle, MG; and Yanbian cattle, YB) from the regions of North China embracing 43 genomic sequences were collected and are distinguished from each of the other diverse populations by deletions and duplications. We also observed that the number of duplications was significantly more than deletions in the genome, which may be less harmful to gene formation and function. At the same time, only 1.15% of CNVRs overlapped with the exon region. Population differential CNVRs and functional annotations between the Qaidam cattle population and other cattle breeds revealed the functional genes related to immunity (MUC6), growth (ADAMTSL3), and adaptability (EBF2). Our analysis has provided numerous genomic characteristics of some Chinese cattle breeds, which are valuable as customized biological molecular markers in cattle breeding and production.
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Affiliation(s)
- Yangkai Liu
- Plateau Livestock Genetic Resources Protection and Innovative Utilization Key Laboratory of Qinghai Province, Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
- Key Laboratory of Animal Genetics and Breeding on Tibet Plateau, Ministry of Agriculture and Rural Affairs, Xining, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Yanan Mu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Wenxiang Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Zulfiqar Ahmed
- Faculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Rawalakot, Pakistan
| | - Xudong Wei
- Plateau Livestock Genetic Resources Protection and Innovative Utilization Key Laboratory of Qinghai Province, Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
- Key Laboratory of Animal Genetics and Breeding on Tibet Plateau, Ministry of Agriculture and Rural Affairs, Xining, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
- Chuzhao Lei
| | - Zhijie Ma
- Plateau Livestock Genetic Resources Protection and Innovative Utilization Key Laboratory of Qinghai Province, Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
- Key Laboratory of Animal Genetics and Breeding on Tibet Plateau, Ministry of Agriculture and Rural Affairs, Xining, China
- *Correspondence: Zhijie Ma
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49
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Chen J, Wang Y, Qi X, Cheng H, Chen N, Ahmed Z, Chen Q, Lei C, Yang X. Genome-wide analysis emancipates genomic diversity and signature of selection in Altay white-headed cattle of Xinjiang, China. Front Genet 2023; 14:1144249. [PMID: 37065480 PMCID: PMC10098193 DOI: 10.3389/fgene.2023.1144249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 03/17/2023] [Indexed: 04/01/2023] Open
Abstract
Altay white-headed cattle have not received enough attention for several reasons. Due to irrational breeding and selection practices, the number of pure Altay white-headed cattle has decreased significantly and the breed is now on the eve of extinction. The genomic characterization will be a crucial step towards understanding the genetic basis of productivity and adaptability to survival under native Chinese agropastoral systems; nevertheless, no attempt has been made in Altay white-headed cattle. In the current study, we compared the genomes of 20 Altay white-headed cattle to the genomes of 144 individuals in representative breeds. Population genetic diversity revealed that the nucleotide diversity of Altay white-headed cattle was less than that of indicine breeds and comparable to that of Chinese taurus cattle. Using population structure analysis, we also found that Altay white-headed cattle carried the ancestry of the European and East Asian cattle lineage. In addition, we used three different methods (FST, θπ ratio and XP-EHH) to investigate the adaptability and white-headed phenotype of Altay white-headed cattle and compared it with Bohai black cattle. We found EPB41L5, SCG5 and KIT genes on the list of the top one percent genes, these genes might have an association with environmental adaptability and the white-headed phenotype for this breed. Our research reveals the distinctive genomic features of Altay white-headed cattle at the genome-wide level.
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Affiliation(s)
- Jialei Chen
- Life Science College, Luoyang Normal University, Luoyang, China
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Yushu Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Xingshan Qi
- Biyang Xianan Cattle Technology and Development Company Ltd., Biyang, China
| | - Haijian Cheng
- Shandong Key Lab of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Ningbo Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Zulfiqar Ahmed
- Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, and Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China
- Faculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Shabestar, Pakistan
| | - Qiuming Chen
- College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, China
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
- *Correspondence: Chuzhao Lei, ; Xueyi Yang,
| | - Xueyi Yang
- Life Science College, Luoyang Normal University, Luoyang, China
- *Correspondence: Chuzhao Lei, ; Xueyi Yang,
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50
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Solodneva E, Svishcheva G, Smolnikov R, Bazhenov S, Konorov E, Mukhina V, Stolpovsky Y. Genetic Structure Analysis of 155 Transboundary and Local Populations of Cattle ( Bos taurus, Bos indicus and Bos grunniens) Based on STR Markers. Int J Mol Sci 2023; 24:5061. [PMID: 36902492 PMCID: PMC10003406 DOI: 10.3390/ijms24055061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 03/09/2023] Open
Abstract
Every week, 1-2 breeds of farm animals, including local cattle, disappear in the world. As the keepers of rare allelic variants, native breeds potentially expand the range of genetic solutions to possible problems of the future, which means that the study of the genetic structure of these breeds is an urgent task. Providing nomadic herders with valuable resources necessary for life, domestic yaks have also become an important object of study. In order to determine the population genetic characteristics, and clarify the phylogenetic relationships of modern representatives of 155 cattle populations from different regions of the world, we collected a large set of STR data (10,250 individuals), including unique native cattle, 12 yak populations from Russia, Mongolia and Kyrgyzstan, as well as zebu breeds. Estimation of main population genetic parameters, phylogenetic analysis, principal component analysis and Bayesian cluster analysis allowed us to refine genetic structure and provided insights in relationships of native populations, transboundary breeds and populations of domestic yak. Our results can find practical application in conservation programs of endangered breeds, as well as become the basis for future fundamental research.
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Affiliation(s)
- Evgenia Solodneva
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia
| | - Gulnara Svishcheva
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Rodion Smolnikov
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia
| | - Sergey Bazhenov
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia
| | - Evgenii Konorov
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia
- Gorbatov Federal Research Center for Food Systems, Russian Academy of Sciences, 109316 Moscow, Russia
| | - Vera Mukhina
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia
| | - Yurii Stolpovsky
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia
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