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Ping X, Chen Y, Wang H, Jin Z, Duan Q, Ren Z, Dong X. Whole-genome sequencing reveals patterns of runs of homozygosity underlying genetic diversity and selection in domestic rabbits. BMC Genomics 2025; 26:425. [PMID: 40301718 PMCID: PMC12042440 DOI: 10.1186/s12864-025-11616-8] [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: 02/11/2025] [Accepted: 04/21/2025] [Indexed: 05/01/2025] Open
Abstract
BACKGROUND Runs of homozygosity (ROH) are continuous segments of homozygous genotypes inherited from both parental lineages. These segments arise due to the transmission of identical haplotypes. The genome-wide patterns and hotspot regions of ROH provide valuable insights into genetic diversity, demographic history, and selection trends. In this study, we analyzed whole-genome resequencing data from 117 rabbits to identify ROH patterns and inbreeding level across eleven rabbit breeds, including seven Chinese indigenous breeds and four exotic breeds, and to uncover selective signatures based on ROH islands. RESULTS We detected a total of 31,429 ROHs across the autosomes of all breeds, with the number of ROHs (NROH) per breed ranging from 1316 to 7476. The mean sum of ROHs length (SROH) per individual was 493.84 Mb, covering approximately 22.79% of the rabbit autosomal genome. The majority of the detected ROHs ranged from 1 to 2 Mb in length, with an average ROH length (LROH) of 1.84 Mb. ROHs longer than 6 Mb constituted only 0.83% of the detected ROHs. The average inbreeding coefficient derived from ROHs (FROH) was 0.23, with FROH values ranging from 0.14 to 0.38 across breeds. Among Chinese indigenous breeds, the Jiuyishan rabbit exhibited the highest values of NROH, SROH, LROH, and FROH, whereas the Fujian Yellow rabbit had the lowest FROH values. In exotic rabbit breeds, the Japanese White rabbit displayed the highest values for NROH, SROH, LROH, and FROH, while the Flemish Giant rabbit had the lowest values for these metrics. Additionally, we identified 17 ROH islands in Chinese indigenous breeds and 22 ROH islands in exotic rabbit breeds, encompassing 124 and 186 genes, respectively. In Chinese indigenous breeds, we identified prominent genes associated with reproduction, including CFAP206, RNF133, CPNE4, ASTE1, and ATP2C1, as well as genes related to adaptation, namely CADPS2, FEZF1, and EPHA7. In contrast, the exotic breeds exhibited a prevalence of genes associated with fat deposition, such as ELOVL3 and NPM3, as well as growth and body weight related genes, including FAM184B, NSMCE2, and TWNK. CONCLUSIONS This study enhances our understanding of genetic diversity and selection pressures in domestic rabbits, offering valuable implications for breeding management and conservation strategies.
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Affiliation(s)
- Xinxin Ping
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Yuan 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
| | - Hui 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
| | - Zhuoya 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
| | - Qianting Duan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Zhanjun Ren
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xianggui Dong
- 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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2
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Lozada-Chávez AN, Lozada-Chávez I, Alfano N, Palatini U, Sogliani D, Elfekih S, Degefa T, Sharakhova MV, Badolo A, Sriwichai P, Casas-Martínez M, Carlos BC, Carballar-Lejarazú R, Lambrechts L, Souza-Neto JA, Bonizzoni M. Adaptive genomic signatures of globally invasive populations of the yellow fever mosquito Aedes aegypti. Nat Ecol Evol 2025; 9:652-671. [PMID: 40155778 PMCID: PMC11976285 DOI: 10.1038/s41559-025-02643-5] [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: 05/08/2023] [Accepted: 01/14/2025] [Indexed: 04/01/2025]
Abstract
In the arboviral vector Aedes aegypti, adaptation to anthropogenic environments has led to a major evolutionary shift separating the domestic Aedes aegypti aegypti (Aaa) ecotype from the wild Aedes aegypti formosus (Aaf) ecotype. Aaa mosquitoes are distributed globally and have higher vectorial capacity than Aaf, which remained in Africa. Despite the evolutionary and epidemiological relevance of this separation, inconsistent morphological data and a complex population structure have hindered the identification of genomic signals distinguishing the two ecotypes. Here we assessed the correspondence between the geographic distribution, population structure and genome-wide selection of 511 Aaf and 123 Aaa specimens and report adaptive signals in 186 genes that we call Aaa molecular signatures. Our results indicate that Aaa molecular signatures arose from standing variation associated with extensive ancestral polymorphisms in Aaf populations and have been co-opted for self-domestication through genomic and functional redundancy and local adaptation. Overall, we show that the behavioural shift of Ae. aegypti mosquitoes to live in association with humans relied on the fine regulation of chemosensory, neuronal and metabolic functions, as seen in the domestication processes of rabbits and silkworms. Our results also provide a foundation for the investigation of new genic targets for the control of Ae. aegypti populations.
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Affiliation(s)
| | - Irma Lozada-Chávez
- Evo-devo, Bioinformatics and Neuromorphic Information Processing groups, Institute of Computer Science and Faculty of Mathematics and Computer Science, Leipzig University, Leipzig, Germany
| | - Niccolò Alfano
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
- Human Technopole, Milan, Italy
| | - Umberto Palatini
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
- Laboratory of Neurogenetics and Behavior, The Rockefeller University, New York, NY, USA
| | - Davide Sogliani
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Samia Elfekih
- Australian Centre for Disease Preparedness, CSIRO Australia Bio21 Institute, School of Biosciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Teshome Degefa
- School of Medical Laboratory Sciences, Institute of Health, Jimma University, Jimma, Ethiopia
| | - Maria V Sharakhova
- Department of Entomology and the Fralin Life Science Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | - Athanase Badolo
- Laboratoire d'Entomologie Fondamentale et Appliquée, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso
| | - Patchara Sriwichai
- Department of Medical Entomology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Mauricio Casas-Martínez
- Centro Regional de Investigación en Salud Pública, Instituto Nacional de Salud Pública, Tapachula, México
| | - Bianca C Carlos
- School of Agricultural Sciences, São Paulo State University, Botucatu, Brazil
- Research Group on Integrated Pest Management, School of Agronomy, Crop Protection Department, São Paulo State University, Botucatu, Brazil
| | - Rebeca Carballar-Lejarazú
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
- Department of Microbiology and Molecular Genetics, University of California, Irvine, Irvine, CA, USA
| | - Louis Lambrechts
- Insect-Virus Interactions Unit, Institut Pasteur, Université Paris Cité, CNRS UMR2000, Paris, France
| | - Jayme A Souza-Neto
- School of Agricultural Sciences, São Paulo State University, Botucatu, Brazil
- College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
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3
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Erven JAM, Mattiangeli V, Dreshaj M, Mullin VE, Rossi C, Daly KG, Jackson I, Parker Pearson M, Bradley DG, Frantz LAF, Madsen O, Raemaekers D, Çakirlar C. Archaeogenomic insights into commensalism and regional variation in pig management in Neolithic northwest Europe. Proc Natl Acad Sci U S A 2025; 122:e2410235122. [PMID: 40096601 PMCID: PMC11962444 DOI: 10.1073/pnas.2410235122] [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: 05/22/2024] [Accepted: 02/10/2025] [Indexed: 03/19/2025] Open
Abstract
The relationship between humans and pigs has changed dramatically since their domestication in southwest Asia and subsequent human-induced introduction into Europe. Introgression between incoming southwest Asian pigs and European boar resulted in the gradual replacement of southwest Asian ancestry in European pigs. However, we currently lack genomic data required to explore the regional trajectories, nature, and extent of contact between European boar and pigs that led to this turnover, and how this process was facilitated by human activity. We addressed this deficit by sequencing four Mesolithic boar and seven Neolithic pig samples from six archaeological sites in the Netherlands and Britain ranging from the Mesolithic (5500 BCE) to Neolithic (2500 BCE). Our data show that despite continuous gene flow with European boar, Neolithic European pigs show varying levels of southwest Asian ancestry. The low and varying southwest Asian ancestry in pigs from the Early Neolithic Dutch settlement Swifterbant indicates a high contribution of wild ancestry. The genetic profile, enriched δ15N values, on-site presence, and wide size distribution of Swifterbant Sus scrofa suggest a commensal relationship. Runs of homozygosity (ROH) imply that both closed-breeding and free-ranging management occurred in Neolithic communities, where the former showed an extreme burden of long segments of ROH. We further show selection signatures, associated with coat color and behavior, in Neolithic herds despite recurrent wild gene flow. Altogether, our results show distinct husbandry practices through space and time in Neolithic Europe, with heavy reliance on boar recruitment via the commensal pathway in northwest Europe.
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Affiliation(s)
- Jolijn A. M. Erven
- Groningen Institute of Archaeology, University of Groningen, Groningen9712 ER, Netherlands
- Smurfit Institute of Genetics, Trinity College Dublin, DublinD02 VF25, Ireland
| | - Valeria Mattiangeli
- Smurfit Institute of Genetics, Trinity College Dublin, DublinD02 VF25, Ireland
| | - Merita Dreshaj
- Groningen Institute of Archaeology, University of Groningen, Groningen9712 ER, Netherlands
| | - Victoria E. Mullin
- Smurfit Institute of Genetics, Trinity College Dublin, DublinD02 VF25, Ireland
| | - Conor Rossi
- Smurfit Institute of Genetics, Trinity College Dublin, DublinD02 VF25, Ireland
| | - Kevin G. Daly
- Smurfit Institute of Genetics, Trinity College Dublin, DublinD02 VF25, Ireland
- School of Agriculture and Food Science, University College Dublin, DublinD04 C1P1, Ireland
| | - Iseult Jackson
- Smurfit Institute of Genetics, Trinity College Dublin, DublinD02 VF25, Ireland
| | - Mike Parker Pearson
- Institute of Archaeology, University College London, LondonWC1H 0PY, United Kingdom
| | - Daniel G. Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, DublinD02 VF25, Ireland
| | - Laurent A. F. Frantz
- Palaeogenomics Group, Institute of Palaeoanatomy, Domestication Research and the History of Veterinary Medicine, Ludwig-Maximilians-Universität of Munich, Munich80539, Germany
- School of Biological and Behavioural Sciences, Queen Mary University of London, LondonE1 4NS, United Kingdom
| | - Ole Madsen
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen6700 AH, Netherlands
| | - Daan Raemaekers
- Groningen Institute of Archaeology, University of Groningen, Groningen9712 ER, Netherlands
| | - Canan Çakirlar
- Groningen Institute of Archaeology, University of Groningen, Groningen9712 ER, Netherlands
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Fekete Z, Német Z, Ninausz N, Fehér P, Schiller M, Alnajjar M, Szenes Á, Nagy T, Stéger V, Kontra L, Barta E. Whole-Genome Sequencing-Based Population Genetic Analysis of Wild and Domestic Rabbit Breeds. Animals (Basel) 2025; 15:775. [PMID: 40150307 PMCID: PMC11939179 DOI: 10.3390/ani15060775] [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: 12/11/2024] [Revised: 02/17/2025] [Accepted: 03/05/2025] [Indexed: 03/29/2025] Open
Abstract
The European rabbit exists in the wild and has several highly bred domesticated forms. There are well-separated wild European rabbit populations, and intensive breeding has resulted in various forms and utilizations. In this work, we aimed to carry out an extended WGS-based population genomics study on several wild European rabbit populations and selected breeds. Utilizing multiple methods, we showed that although domestic and wild populations were clearly separated, there was evidence of admixture between them in France and Hungary. The populations showed various levels of inbreeding, with one of the Hungarian subpopulations having excess runs of homozygosity. We identified numerous variants fixed in either domestic or wild animals, two of which were found to be fixed at different alleles in the two populations. Some putatively selected regions did not overlap with any known genes in the rabbit genome, suggesting some importance to these intergenic sites. The enrichment of selected regions in certain types of transcription factor binding sites suggests a possible role for these regulatory elements during domestication. In addition, the new high-coverage rabbit whole-genome sequences may provide helpful material for further population genetics analyses.
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Affiliation(s)
- Zsófia Fekete
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
- Department of Environmental and Biological Sciences, University of Eastern Finland, Yliopistokatu 2, 80100 Joensuu, Finland
| | - Zoltán Német
- Department of Pathology, University of Veterinary Medicine Budapest, Dóra major, H-2225 Üllő, Hungary; (Z.N.); (Á.S.)
| | - Nóra Ninausz
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
| | - Péter Fehér
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
| | - Mátyás Schiller
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
| | - Maher Alnajjar
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
| | - Áron Szenes
- Department of Pathology, University of Veterinary Medicine Budapest, Dóra major, H-2225 Üllő, Hungary; (Z.N.); (Á.S.)
| | - Tibor Nagy
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem tér 1, H-4032 Debrecen, Hungary
| | - Viktor Stéger
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
| | - Levente Kontra
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
- Bioinformatics Core Facility, Institute of Experimental Medicine, Hungarian Research NetworkSzigony utca 43, H-1083 Budapest, Hungary
| | - Endre Barta
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem tér 1, H-4032 Debrecen, Hungary
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5
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Zhang X, Yang F, Zhang J, Zhu T, Zhao X, Liu Y, Wen J, Gu H, Wang G, Ren X, Chen A, Qu L. Genomic variation responding to artificial selection on different lines of Pekin duck. Poult Sci 2025; 104:104785. [PMID: 39813863 PMCID: PMC11783388 DOI: 10.1016/j.psj.2025.104785] [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: 10/22/2024] [Revised: 12/20/2024] [Accepted: 01/05/2025] [Indexed: 01/18/2025] Open
Abstract
Understanding the genomic variation in Pekin duck under artificial selection is important for improving the utilization of duck genetic resources. Here, the genomic changes in Pekin duck were analyzed by using the genome resequencing data from 96 individual samples, including 2 conservation populations and 4 breeding populations with different breeding backgrounds. The population structure, runs of homozygosity (ROH), effective population number (Ne), and other genetic parameters were analyzed. The breeding populations showed lower genetic diversity compared to the conservation populations. Maple Leaf duck and Cherry Valley duck retained low genetic diversity compared to other breeding populations, with Cherry Valley duck showing the lowest diversity and the highest inbreeding coefficient. This suggested that Cherry Valley and Maple Leaf ducks have undergone intensive selection compared to other breeding populations. By the analysis of runs of homozygosity (ROHs), some genes (e.g., IGF1R) associated with growth traits were identified. By the analysis of the selection signal, strong selection characteristics in certain genomic regions during the breeding of Peking duck across different selected lines were observed. In addition, copy number variations (CNVs) in Pekin duck populations were analyzed. Six regions of interest were identified, containing RPA1, DOT1L, SLC25A42, RALYL, TRPA1, and IGFBP2. Furthermore, the allele frequency distribution of these genes showed significant differences between breeding populations and conservation populations, indicating that these candidate genes could have undergone strong selection pressure during long-term selection for improved production. These findings contribute to a deeper understanding of the distinct evolutionary processes in Pekin ducks under artificial selection and provide valuable insights for future breeding strategies.
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Affiliation(s)
- Xinye Zhang
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing 100193, China
| | - Fangxi Yang
- Beijing Nankou Duck Breeding Technology Co. Ltd., Beijing, China
| | - Jinxin Zhang
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing 100193, China
| | - Tao Zhu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing 100193, China
| | - Xiurong Zhao
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing 100193, China
| | - Yuchen Liu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing 100193, China
| | - Junhui Wen
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing 100193, China
| | - Hongchang Gu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing 100193, China
| | - Gang Wang
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing 100193, China
| | - Xufang Ren
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing 100193, China
| | - Anqi Chen
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing 100193, China
| | - Lujiang Qu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing 100193, China.
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Safaa HM, Helal M, Yasser S, Raafat Z, Ayman H, Mostafa H, Bozhilova-Sakova M, Elsayed DAA. Genome-Wide In Silico Analysis of Microsatellite Loci in Rabbits. Animals (Basel) 2024; 14:3659. [PMID: 39765563 PMCID: PMC11672705 DOI: 10.3390/ani14243659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2024] [Revised: 12/07/2024] [Accepted: 12/17/2024] [Indexed: 01/11/2025] Open
Abstract
This study aimed to characterize microsatellites in the rabbit genome using an in silico approach and to develop and validate microsatellite markers. Blood samples were collected from 15 Baladi rabbits and 18 New Zealand White (NZW rabbits). The GMATA software was used to define SSRs in the extracted sequences. Twelve primer pairs were used to validate the loci identified and the primers developed. The total number of the detected microsatellite loci overall chromosomes was 1,136,253. The di-nucleotide microsatellite repeats dominated and exceeded 88% of the detected microsatellites in all chromosomes. There were no microsatellites detected in mitochondrial DNA. The highest relative microsatellite abundance was obtained for chromosome 19, followed by 13 and 6. The highest estimated SSR density was obtained for chromosome 14, and the lowest was for mitochondrial DNA, followed by chromosome 13. The polymorphism was 81.63% and 75.51% for Baladi and NZW rabbits, respectively. The number of detected alleles ranged between two and seven alleles/loci, and polymorphic information content was from 35% to 71%. The AMOVA analysis showed that the total variance of all levels of population structure was 15.734. The results definitely confirmed higher genetic diversity in Baladi compared with NZW rabbits.
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Affiliation(s)
- Hosam M. Safaa
- Department of Biology, College of Science, University of Bisha, P.O. Box 551, Bisha 61922, Saudi Arabia
| | - Mostafa Helal
- Department of Animal Production, Faculty of Agriculture, Cairo University, Giza 12613, Egypt
| | - Seif Yasser
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza 12613, Egypt; (S.Y.); (Z.R.); (H.A.); (H.M.)
| | - Zahra Raafat
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza 12613, Egypt; (S.Y.); (Z.R.); (H.A.); (H.M.)
| | - Habiba Ayman
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza 12613, Egypt; (S.Y.); (Z.R.); (H.A.); (H.M.)
| | - Hasnaa Mostafa
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza 12613, Egypt; (S.Y.); (Z.R.); (H.A.); (H.M.)
| | | | - Dalia A. A. Elsayed
- Department of Poultry Breeding, Animal Production Research Institute, Agriculture Research Center, Dokki, Giza 12618, Egypt;
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7
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Kleinau G, Chini B, Andersson L, Scheerer P. The role of G protein-coupled receptors and their ligands in animal domestication. Anim Genet 2024; 55:893-906. [PMID: 39324206 DOI: 10.1111/age.13476] [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: 09/11/2024] [Revised: 09/11/2024] [Accepted: 09/11/2024] [Indexed: 09/27/2024]
Abstract
The domestication of plants and animals has resulted in one of the most significant cultural and socio-economical transitions in human history. Domestication of animals, including human-supervised reproduction, largely uncoupled particular animal species from their natural, evolutionary history driven by environmental and ecological factors. The primary motivations for domesticating animals were, and still are, producing food and materials (e.g. meat, eggs, honey or milk products, wool, leather products, jewelry and medication products) to support plowing in agriculture or in transportation (e.g. horse, cattle, camel and llama) and to facilitate human activities (for hunting, rescuing, therapeutic aid, guarding behavior and protecting or just as a companion). In recent years, decoded genetic information from more than 40 domesticated animal species have become available; these studies have identified genes and mutations associated with specific physiological and behavioral traits contributing to the complex genetic background of animal domestication. These breeding-altered genomes provide insights into the regulation of different physiological areas, including information on links between e.g. endocrinology and behavior, with important pathophysiological implications (e.g. for obesity and cancer), extending the interest in domestication well beyond the field. Several genes that have undergone selection during domestication and breeding encode specific G protein-coupled receptors, a class of membrane-spanning receptors involved in the regulation of a number of overarching functions such as reproduction, development, body homeostasis, metabolism, stress responses, cognition, learning and memory. Here we summarize the available literature on variations in G protein-coupled receptors and their ligands and how these have contributed to animal domestication.
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Affiliation(s)
- Gunnar Kleinau
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Physics and Biophysics, Group Structural Biology of Cellular Signaling, Berlin, Germany
| | - Bice Chini
- CNR, Institute of Neuroscience, Vedano al Lambro, Italy, and NeuroMI - Milan Center for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Leif Andersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, USA
| | - Patrick Scheerer
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Physics and Biophysics, Group Structural Biology of Cellular Signaling, Berlin, Germany
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Nayak SS, Rajawat D, Jain K, Sharma A, Gondro C, Tarafdar A, Dutt T, Panigrahi M. A comprehensive review of livestock development: insights into domestication, phylogenetics, diversity, and genomic advances. Mamm Genome 2024; 35:577-599. [PMID: 39397083 DOI: 10.1007/s00335-024-10075-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: 05/23/2024] [Accepted: 09/27/2024] [Indexed: 10/15/2024]
Abstract
Livestock plays an essential role in sustaining human livelihoods, offering a diverse range of species integral to food security, economic stability, and cultural traditions. The domestication of livestock, which began over 10,000 years ago, has driven significant genetic changes in species such as cattle, buffaloes, sheep, goats, and pigs. Recent advancements in genomic technologies, including next-generation sequencing (NGS), genome-wide association studies (GWAS), and genomic selection, have dramatically enhanced our understanding of these genetic developments. This review brings together key research on the domestication process, phylogenetics, genetic diversity, and selection signatures within major livestock species. It emphasizes the importance of admixture studies and evolutionary forces like natural selection, genetic drift, and gene flow in shaping livestock populations. Additionally, the integration of machine learning with genomic data offers new perspectives on the functional roles of genes in adaptation and evolution. By exploring these genomic advancements, this review provides insights into genetic variation and evolutionary processes that could inform future approaches to improving livestock management and adaptation to environmental challenges, including climate change.
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Affiliation(s)
- Sonali Sonejita Nayak
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India
| | - Divya Rajawat
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India
| | - Karan Jain
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India
| | - Anurodh Sharma
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India
| | - Cedric Gondro
- Department of Animal Science, Michigan State University, East Lansing, MI, 48824, USA
| | - Ayon Tarafdar
- Livestock Production and Management Section, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India
| | - Triveni Dutt
- Livestock Production and Management Section, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India
| | - Manjit Panigrahi
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India.
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9
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Benjelloun B, Leempoel K, Boyer F, Stucki S, Streeter I, Orozco-terWengel P, Alberto FJ, Servin B, Biscarini F, Alberti A, Engelen S, Stella A, Colli L, Coissac E, Bruford MW, Ajmone-Marsan P, Negrini R, Clarke L, Flicek P, Chikhi A, Joost S, Taberlet P, Pompanon F. Multiple genomic solutions for local adaptation in two closely related species (sheep and goats) facing the same climatic constraints. Mol Ecol 2024; 33:e17257. [PMID: 38149334 DOI: 10.1111/mec.17257] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 08/18/2023] [Accepted: 12/05/2023] [Indexed: 12/28/2023]
Abstract
The question of how local adaptation takes place remains a fundamental question in evolutionary biology. The variation of allele frequencies in genes under selection over environmental gradients remains mainly theoretical and its empirical assessment would help understanding how adaptation happens over environmental clines. To bring new insights to this issue we set up a broad framework which aimed to compare the adaptive trajectories over environmental clines in two domesticated mammal species co-distributed in diversified landscapes. We sequenced the genomes of 160 sheep and 161 goats extensively managed along environmental gradients, including temperature, rainfall, seasonality and altitude, to identify genes and biological processes shaping local adaptation. Allele frequencies at putatively adaptive loci were rarely found to vary gradually along environmental gradients, but rather displayed a discontinuous shift at the extremities of environmental clines. Of the 430 candidate adaptive genes identified, only 6 were orthologous between sheep and goats and those responded differently to environmental pressures, suggesting different putative mechanisms involved in local adaptation in these two closely related species. Interestingly, the genomes of the 2 species were impacted differently by the environment, genes related to signatures of selection were most related to altitude, slope and rainfall seasonality for sheep, and summer temperature and spring rainfall for goats. The diversity of candidate adaptive pathways may result from a high number of biological functions involved in the adaptations to multiple eco-climatic gradients, and a differential role of climatic drivers on the two species, despite their co-distribution along the same environmental gradients. This study describes empirical examples of clinal variation in putatively adaptive alleles with different patterns in allele frequency distributions over continuous environmental gradients, thus showing the diversity of genetic responses in adaptive landscapes and opening new horizons for understanding genomics of adaptation in mammalian species and beyond.
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Affiliation(s)
- Badr Benjelloun
- Livestock Genomics Laboratory, Regional Center of Agricultural Research Tadla, National Institute of Agricultural Research INRA, Rabat, Morocco
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Kevin Leempoel
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Frédéric Boyer
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Sylvie Stucki
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Ian Streeter
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Pablo Orozco-terWengel
- School of Biosciences, Cardiff University, Wales, UK
- Sustainable Places Research Institute, Cardiff University, Cardiff, UK
| | - Florian J Alberto
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Bertrand Servin
- GenPhySE, Université de Toulouse, INRAE, INPT, ENVT, Castanet-Tolosan, France
| | - Filippo Biscarini
- Institute of Agricultural Biology and Biotechnology, Consiglio Nazionale delle Ricerche (CNR), Milan, Italy
| | - Adriana Alberti
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ. Evry, Université Paris-Saclay, Evry, France
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France
| | - Stefan Engelen
- Genoscope, Institut de biologie François-Jacob, Commissariat à l'Energie Atomique CEA, Université Paris-Saclay, Evry, France
| | - Alessandra Stella
- Institute of Agricultural Biology and Biotechnology, Consiglio Nazionale delle Ricerche (CNR), Milan, Italy
| | - Licia Colli
- Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del S. Cuore, Piacenza, Italy
- BioDNA - Centro di Ricerca sulla Biodiversità e sul DNA Antico, Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del S. Cuore, Piacenza, Italy
| | - Eric Coissac
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Michael W Bruford
- School of Biosciences, Cardiff University, Wales, UK
- Sustainable Places Research Institute, Cardiff University, Cardiff, UK
| | - Paolo Ajmone-Marsan
- Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del S. Cuore, Piacenza, Italy
- BioDNA - Centro di Ricerca sulla Biodiversità e sul DNA Antico, Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del S. Cuore, Piacenza, Italy
| | - Riccardo Negrini
- Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del S. Cuore, Piacenza, Italy
- AIA Associazione Italiana Allevatori, Roma, Italy
| | - Laura Clarke
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Abdelkader Chikhi
- Livestock Genomics Laboratory, Regional Center of Agricultural Research Tadla, National Institute of Agricultural Research INRA, Rabat, Morocco
| | - Stéphane Joost
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Pierre Taberlet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - François Pompanon
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
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10
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Andrade P, Alves JM, Pereira P, Rubin CJ, Silva E, Sprehn CG, Enbody E, Afonso S, Faria R, Zhang Y, Bonino N, Duckworth JA, Garreau H, Letnic M, Strive T, Thulin CG, Queney G, Villafuerte R, Jiggins FM, Ferrand N, Andersson L, Carneiro M. Selection against domestication alleles in introduced rabbit populations. Nat Ecol Evol 2024; 8:1543-1555. [PMID: 38907020 DOI: 10.1038/s41559-024-02443-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 05/14/2024] [Indexed: 06/23/2024]
Abstract
Humans have moved domestic animals around the globe for thousands of years. These have occasionally established feral populations in nature, often with devastating ecological consequences. To understand how natural selection shapes re-adaptation into the wild, we investigated one of the most successful colonizers in history, the European rabbit. By sequencing the genomes of 297 rabbits across three continents, we show that introduced populations exhibit a mixed wild-domestic ancestry. We show that alleles that increased in frequency during domestication were preferentially selected against in novel natural environments. Interestingly, causative mutations for common domestication traits sometimes segregate at considerable frequencies if associated with less drastic phenotypes (for example, coat colour dilution), whereas mutations that are probably strongly maladaptive in nature are absent. Whereas natural selection largely targeted different genomic regions in each introduced population, some of the strongest signals of parallelism overlap genes associated with neuronal or brain function. This limited parallelism is probably explained by extensive standing genetic variation resulting from domestication together with the complex mixed ancestry of introduced populations. Our findings shed light on the selective and molecular mechanisms that enable domestic animals to re-adapt to the wild and provide important insights for the mitigation and management of invasive populations.
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Affiliation(s)
- Pedro Andrade
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal.
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal.
| | - Joel M Alves
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
- Palaeogenomics and Bio-Archaeology Research Network Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Paulo Pereira
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
| | - Carl-Johan Rubin
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Institute of Marine Research, Bergen, Norway
| | - Eugénio Silva
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
| | - C Grace Sprehn
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Erik Enbody
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Department of Biomolecular Engineering, University of California, Santa Cruz, CA, USA
| | - Sandra Afonso
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
| | - Rui Faria
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
| | - Yexin Zhang
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Never Bonino
- Estación Experimental Bariloche, Instituto Nacional de Tecnología Agropecuaria, Casilla de Correo Bariloche, Argentina
| | - Janine A Duckworth
- Wildlife Ecology and Management Group, Manaaki Whenua - Landcare Research, Lincoln, New Zealand
- Invasive Animals Cooperative Research Centre, University of Canberra, Bruce, Australian Capital Territory, Australia
| | - Hervé Garreau
- GenPhySE, Université de Toulouse, Castanet-Tolosan, France
| | - Mike Letnic
- Centre for Ecosystem Science, School of BEES, University of New South Wales, Sydney, New South Wales, Australia
- Evolution and Ecology Research Centre, School of BEES, University of New South Wales, Sydney, New South Wales, Australia
| | - Tanja Strive
- Centre for Invasive Species Solutions, University of Canberra, Bruce, Australian Capital Territory, Australia
- Commonwealth Scientific and Industrial Research Organisation, Canberra, Australian Capital Territory, Australia
| | - Carl-Gustaf Thulin
- Department of Animal Biosciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Guillaume Queney
- ANTAGENE, Wildlife Genetics Laboratory, La Tour de Salvagny, France
| | | | | | - Nuno Ferrand
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
- Department of Zoology, Faculty of Sciences, University of Johannesburg, Auckland Park, South Africa
| | - Leif Andersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
| | - Miguel Carneiro
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal.
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal.
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11
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Marsh JI, Johri P. Biases in ARG-Based Inference of Historical Population Size in Populations Experiencing Selection. Mol Biol Evol 2024; 41:msae118. [PMID: 38874402 PMCID: PMC11245712 DOI: 10.1093/molbev/msae118] [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: 04/15/2024] [Revised: 06/05/2024] [Accepted: 06/11/2024] [Indexed: 06/15/2024] Open
Abstract
Inferring the demographic history of populations provides fundamental insights into species dynamics and is essential for developing a null model to accurately study selective processes. However, background selection and selective sweeps can produce genomic signatures at linked sites that mimic or mask signals associated with historical population size change. While the theoretical biases introduced by the linked effects of selection have been well established, it is unclear whether ancestral recombination graph (ARG)-based approaches to demographic inference in typical empirical analyses are susceptible to misinference due to these effects. To address this, we developed highly realistic forward simulations of human and Drosophila melanogaster populations, including empirically estimated variability of gene density, mutation rates, recombination rates, purifying, and positive selection, across different historical demographic scenarios, to broadly assess the impact of selection on demographic inference using a genealogy-based approach. Our results indicate that the linked effects of selection minimally impact demographic inference for human populations, although it could cause misinference in populations with similar genome architecture and population parameters experiencing more frequent recurrent sweeps. We found that accurate demographic inference of D. melanogaster populations by ARG-based methods is compromised by the presence of pervasive background selection alone, leading to spurious inferences of recent population expansion, which may be further worsened by recurrent sweeps, depending on the proportion and strength of beneficial mutations. Caution and additional testing with species-specific simulations are needed when inferring population history with non-human populations using ARG-based approaches to avoid misinference due to the linked effects of selection.
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Affiliation(s)
- Jacob I Marsh
- Department of Biology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Parul Johri
- Department of Biology, University of North Carolina, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- Integrative Program for Biological and Genome Sciences, University of North Carolina, Chapel Hill, NC 27599, USA
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12
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Wang Y, Huang Y, Zhen Y, Wang J, Wang L, Chen N, Wu F, Zhang L, Shen Y, Bi C, Li S, Pool K, Blache D, Maloney SK, Liu D, Yang Z, Li C, Yu X, Zhang Z, Chen Y, Xue C, Gu Y, Huang W, Yan L, Wei W, Wang Y, Zhang J, Zhang Y, Sun Y, Wang S, Zhao X, Luo C, Wang H, Ding L, Yang QY, Zhou P, Wang M. De novo transcriptome assembly database for 100 tissues from each of seven species of domestic herbivore. Sci Data 2024; 11:488. [PMID: 38734729 PMCID: PMC11088706 DOI: 10.1038/s41597-024-03338-5] [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: 12/13/2023] [Accepted: 05/02/2024] [Indexed: 05/13/2024] Open
Abstract
Domesticated herbivores are an important agricultural resource that play a critical role in global food security, particularly as they can adapt to varied environments, including marginal lands. An understanding of the molecular basis of their biology would contribute to better management and sustainable production. Thus, we conducted transcriptome sequencing of 100 to 105 tissues from two females of each of seven species of herbivore (cattle, sheep, goats, sika deer, horses, donkeys, and rabbits) including two breeds of sheep. The quality of raw and trimmed reads was assessed in terms of base quality, GC content, duplication sequence rate, overrepresented k-mers, and quality score distribution with FastQC. The high-quality filtered RNA-seq raw reads were deposited in a public database which provides approximately 54 billion high-quality paired-end sequencing reads in total, with an average mapping rate of ~93.92%. Transcriptome databases represent valuable resources that can be used to study patterns of gene expression, and pathways that are related to key biological processes, including important economic traits in herbivores.
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Affiliation(s)
- Yifan Wang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
- College of Life Science, Guizhou University, Guiyang, 550025, P. R. China
| | - Yiming Huang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Yongkang Zhen
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Jiasheng Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Limin Wang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China
| | - Ning Chen
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China
| | - Feifan Wu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Linna Zhang
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Yizhao Shen
- College of Animal Science and Technology, Hebei Agricultural University, Baoding, 071033, P. R. China
| | - Congliang Bi
- College of Life Science, Linyi University, Linyi, 276005, P. R. China
| | - Song Li
- College of Life Science, Guizhou University, Guiyang, 550025, P. R. China
| | - Kelsey Pool
- UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia
| | - Dominique Blache
- UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia
| | - Shane K Maloney
- UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia
| | - Dongxu Liu
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Zhiquan Yang
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Chuang Li
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Xiang Yu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Zhenbin Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Yifei Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Chun Xue
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Yalan Gu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Weidong Huang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Lu Yan
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Wenjun Wei
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Yusu Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Jinying Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Yifan Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Yiquan Sun
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Shengbo Wang
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Xinle Zhao
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Chengfang Luo
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Haodong Wang
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Luoyang Ding
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
- UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia.
| | - Qing-Yong Yang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China.
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
| | - Ping Zhou
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China.
| | - Mengzhi Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
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13
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Wang Q, Jiang Y, Li J, Li J, He Y. Genetic structural analysis of different breeds and geographical groups of Fenneropenaeus chinensis reveals population diversity. Genomics 2024; 116:110843. [PMID: 38608736 DOI: 10.1016/j.ygeno.2024.110843] [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: 11/07/2023] [Revised: 03/30/2024] [Accepted: 04/09/2024] [Indexed: 04/14/2024]
Abstract
Fenneropenaeus chinensis is a commercially important shrimp species cultured in China. This study investigated eight F. chinensis populations in China, including four geographical populations, three commercial breeds, and one wild population captured from the Yellow Sea. Population stratification analysis revealed that the Hebei geographical population and commercial breeding "Huanghai No. 4" were relatively independent and stable, reflecting a relatively closed breeding environment, whereas gene introgression was present between other populations. Selective signature analysis detected artificial selection for vision, growth, and disease resistance in the Hebei population. Neuronal development-related genes were detected to be under selection in the Changyi and Rizhao populations. Fertility of the Rizhao population was also investigated. Additionally, genes in the glycosaminoglycan biosynthesis-chondroitin sulfate/dermatan sulfate pathway were involved in the high pH tolerance of the "Huanghai No. 4" population. This study provided support for the genetic mechanism of parsing economic traits and the development of molecular breeding technologies.
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Affiliation(s)
- Qiong Wang
- National Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; Function Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology, Qingdao 266200, China
| | - Yuhan Jiang
- National Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
| | - Jian Li
- National Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; Function Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology, Qingdao 266200, China
| | - Jitao Li
- National Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; Function Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology, Qingdao 266200, China.
| | - Yuying He
- National Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; Function Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology, Qingdao 266200, China.
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14
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Xie K, Ning C, Yang A, Zhang Q, Wang D, Fan X. Resequencing Analyses Revealed Genetic Diversity and Selection Signatures during Rabbit Breeding and Improvement. Genes (Basel) 2024; 15:433. [PMID: 38674368 PMCID: PMC11049387 DOI: 10.3390/genes15040433] [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: 02/21/2024] [Revised: 03/23/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Domestication has shaped the diverse characteristics of rabbits, including coat color, fur structure, body size, and various physiological traits. Utilizing whole-genome resequencing (DNBSEQ-T7), we analyzed the genetic diversity, population structure, and genomic selection across 180 rabbits from 17 distinct breeds to uncover the genetic basis of these traits. We conducted whole-genome sequencing on 17 rabbit breeds, identifying 17,430,184 high-quality SNPs and analyzing genomic diversity, patterns of genomic variation, population structure, and selection signatures related to coat color, coat structure, long hair, body size, reproductive capacity, and disease resistance. Through PCA and NJ tree analyses, distinct clusters emerged among Chinese indigenous rabbits, suggesting varied origins and domestication histories. Selective sweep testing pinpointed regions and genes linked to domestication and key morphological and economic traits, including those affecting coat color (TYR, ASIP), structure (LIPH), body size (INSIG2, GLI3), fertility (EDNRA, SRD5A2), heat stress adaptation (PLCB1), and immune response (SEC31A, CD86, LAP3). Our study identified key genomic signatures of selection related to traits such as coat color, fur structure, body size, and fertility; these findings highlight the genetic basis underlying phenotypic diversification in rabbits and have implications for breeding programs aiming to improve productive, reproductive, and adaptive traits. The detected genomic signatures of selection also provide insights into rabbit domestication and can aid conservation efforts for indigenous breeds.
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Affiliation(s)
- Kerui Xie
- College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an 271018, China;
| | - Chao Ning
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (C.N.); (Q.Z.)
| | - Aiguo Yang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (C.N.); (Q.Z.)
| | - Qin Zhang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (C.N.); (Q.Z.)
| | - Dan Wang
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an 271018, China
| | - Xinzhong Fan
- College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an 271018, China;
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15
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Helal M, Sameh J, Gharib S, Merghany RM, Bozhilova-Sakova M, Ragab M. Candidate genes associated with reproductive traits in rabbits. Trop Anim Health Prod 2024; 56:94. [PMID: 38441694 PMCID: PMC10914644 DOI: 10.1007/s11250-024-03938-8] [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: 12/11/2023] [Accepted: 02/20/2024] [Indexed: 03/07/2024]
Abstract
In the era of scientific advances and genetic progress, opportunities in the livestock sector are constantly growing. The application of molecular-based methods and approaches in farm animal breeding would accelerate and improve the expected results. The current work aims to comprehensively review the most important causative mutations in candidate genes that affect prolificacy traits in rabbits. Rabbits are a source of excellent-tasting meat that is high in protein and low in fat. Their early maturity and intensive growth are highly valued all over the world. However, improving reproductive traits and prolificacy in rabbits could be very tricky with traditional selection. Therefore, traditional breeding programs need new methods based on contemporary discoveries in molecular biology and genetics because of the complexity of the selection process. The study and implementation of genetic markers related to production in rabbits will help to create populations with specific productive traits that will produce the desired results in an extremely short time. Many studies worldwide showed an association between different genes and productive traits in rabbits. The study of these polymorphisms and their effects could be useful for molecular-oriented breeding, particularly marker-assisted selection programs in rabbit breeding.
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Affiliation(s)
- Mostafa Helal
- Department of Animal Production, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt.
| | - Jana Sameh
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt
| | - Sama Gharib
- Biotechnology Program, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt
| | - Rana M Merghany
- Department of Pharmacognosy, National Research Centre, Giza, 12622, Egypt
| | | | - Mohamed Ragab
- Poultry Production Department, Faculty of Agriculture, Kafrelsheikh University, Kafrelsheikh, Egypt
- Animal Breeding and Genetics Department, National Institute for Agricultural and Food Research and Technology (INIA), Madrid, 28040, Spain
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16
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Li Y, Xu W, Wang J, Liu H, Liu J, Zhang L, Hou R, Shen F, Liu Y, Cai K. Giant pandas in captivity undergo short-term adaptation in nerve-related pathways. BMC ZOOL 2024; 9:4. [PMID: 38383502 PMCID: PMC10880213 DOI: 10.1186/s40850-024-00195-y] [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: 08/12/2023] [Accepted: 02/07/2024] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND Behaviors in captive animals, including changes in appetite, activity level, and social interaction, are often seen as adaptive responses. However, these behaviors may become progressively maladaptive, leading to stress, anxiety, depression, and other negative reactions in animals. RESULTS In this study, we investigated the whole-genome sequencing data of 39 giant panda individuals, including 11 in captivity and 28 in the wild. To eliminate the mountain range effect and focus on the factor of captivity only, we first performed a principal component analysis. We then enumerated the 21,474,180 combinations of wild giant pandas (11 chosen from 28) and calculated their distances from the 11 captive individuals. The 11 wild individuals with the closest distances were used for the subsequent analysis. The linkage disequilibrium (LD) patterns demonstrated that the population was almost eliminated. We identified 505 robust selected genomic regions harboring at least one SNP, and the absolute frequency difference was greater than 0.6 between the two populations. GO analysis revealed that genes in these regions were mainly involved in nerve-related pathways. Furthermore, we identified 22 GO terms for which the selection strength significantly differed between the two populations, and there were 10 nerve-related pathways among them. Genes in the differentially abundant regions were involved in nerve-related pathways, indicating that giant pandas in captivity underwent minor genomic selection. Additionally, we investigated the relationship between genetic variation and chromatin conformation structures. We found that nucleotide diversity (θπ) in the captive population was correlated with chromatin conformation structures, which included A/B compartments, topologically associated domains (TADs) and TAD-cliques. For each GO term, we then compared the expression level of genes regulated by the above four factors (AB index, TAD intactness, TAD clique and PEI) with the corresponding genomic background. The retained 10 GO terms were all coordinately regulated by the four factors, and three of them were associated with nerve-related pathways. CONCLUSIONS This study revealed that giant pandas in captivity undergo short-term adaptation in nerve-related pathways. Furthermore, it provides new insights into the molecular mechanism of gene expression regulation under short-term adaptation to environmental change.
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Affiliation(s)
- Yan Li
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Wei Xu
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Juan Wang
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Hong Liu
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Jiawen Liu
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Liang Zhang
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Rong Hou
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Fujun Shen
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Yuliang Liu
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Kailai Cai
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China.
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China.
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17
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Howe NS, Hale MC, Waters CD, Schaal SM, Shedd KR, Larson WA. Genomic evidence for domestication selection in three hatchery populations of Chinook salmon, Oncorhynchus tshawytscha. Evol Appl 2024; 17:e13656. [PMID: 38357359 PMCID: PMC10866082 DOI: 10.1111/eva.13656] [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: 08/29/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 02/16/2024] Open
Abstract
Fish hatcheries are widely used to enhance fisheries and supplement declining wild populations. However, substantial evidence suggests that hatchery fish are subject to differential selection pressures compared to their wild counterparts. Domestication selection, or adaptation to the hatchery environment, poses a risk to wild populations if traits specific to success in the hatchery environment have a genetic component and there is subsequent introgression between hatchery and wild fish. Few studies have investigated domestication selection in hatcheries on a genomic level, and even fewer have done so in parallel across multiple hatchery-wild population pairs. In this study, we used low-coverage whole-genome sequencing to investigate signals of domestication selection in three separate hatchery populations of Chinook salmon, Oncorhynchus tshawytscha, after approximately seven generations of divergence from their corresponding wild progenitor populations. We sequenced 192 individuals from populations across Southeast Alaska and estimated genotype likelihoods at over six million loci. We discovered a total of 14 outlier peaks displaying high genetic differentiation (F ST) between hatchery-wild pairs, although no peaks were shared across the three comparisons. Peaks were small (53 kb on average) and often displayed elevated absolute genetic divergence (D xy) and linkage disequilibrium, suggesting some level of domestication selection has occurred. Our study provides evidence that domestication selection can lead to genetic differences between hatchery and wild populations in only a few generations. Additionally, our data suggest that population-specific adaptation to hatchery environments likely occurs through different genetic pathways, even for populations with similar standing genetic variation. These results highlight the need to collect paired genotype-phenotype data to understand how domestication may be affecting fitness and to identify potential management practices that may mitigate genetic risks despite multiple pathways of domestication.
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Affiliation(s)
- Natasha S. Howe
- Department of BiologyTexas Christian UniversityFort WorthTexasUSA
| | - Matthew C. Hale
- Department of BiologyTexas Christian UniversityFort WorthTexasUSA
| | - Charles D. Waters
- National Oceanographic and Atmospheric Administration, National Marine Fisheries ServiceAlaska Fisheries Science Center, Auke Bay LaboratoriesJuneauAlaskaUSA
| | - Sara M. Schaal
- National Oceanographic and Atmospheric Administration, National Marine Fisheries ServiceAlaska Fisheries Science Center, Auke Bay LaboratoriesJuneauAlaskaUSA
| | - Kyle R. Shedd
- Alaska Department of Fish and Game, Division of Commercial FisheriesGene Conservation LaboratoryAnchorageAlaskaUSA
| | - Wesley A. Larson
- National Oceanographic and Atmospheric Administration, National Marine Fisheries ServiceAlaska Fisheries Science Center, Auke Bay LaboratoriesJuneauAlaskaUSA
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18
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Schelle L, Côrte-Real JV, Fayyaz S, del Pozo Ben A, Shnipova M, Petersen M, Lotke R, Menon B, Matzek D, Pfaff L, Pinheiro A, Marques JP, Melo-Ferreira J, Popper B, Esteves PJ, Sauter D, Abrantes J, Baldauf HM. Evolutionary and functional characterization of lagomorph guanylate-binding proteins: a story of gain and loss and shedding light on expression, localization and innate immunity-related functions. Front Immunol 2024; 15:1303089. [PMID: 38348040 PMCID: PMC10859415 DOI: 10.3389/fimmu.2024.1303089] [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: 09/27/2023] [Accepted: 01/04/2024] [Indexed: 02/15/2024] Open
Abstract
Guanylate binding proteins (GBPs) are an evolutionarily ancient family of proteins that are widely distributed among eukaryotes. They belong to the dynamin superfamily of GTPases, and their expression can be partially induced by interferons (IFNs). GBPs are involved in the cell-autonomous innate immune response against bacterial, parasitic and viral infections. Evolutionary studies have shown that GBPs exhibit a pattern of gene gain and loss events, indicative for the birth-and-death model of evolution. Most species harbor large GBP gene clusters that encode multiple paralogs. Previous functional and in-depth evolutionary studies have mainly focused on murine and human GBPs. Since rabbits are another important model system for studying human diseases, we focus here on lagomorphs to broaden our understanding of the multifunctional GBP protein family by conducting evolutionary analyses and performing a molecular and functional characterization of rabbit GBPs. We observed that lagomorphs lack GBP3, 6 and 7. Furthermore, Leporidae experienced a loss of GBP2, a unique duplication of GBP5 and a massive expansion of GBP4. Gene expression analysis by reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) and transcriptome data revealed that leporid GBP expression varied across tissues. Overexpressed rabbit GBPs localized either uniformly and/or discretely to the cytoplasm and/or to the nucleus. Oryctolagus cuniculus (oc)GBP5L1 and rarely ocGBP5L2 were an exception, colocalizing with the trans-Golgi network (TGN). In addition, four ocGBPs were IFN-inducible and only ocGBP5L2 inhibited furin activity. In conclusion, from an evolutionary perspective, lagomorph GBPs experienced multiple gain and loss events, and the molecular and functional characteristics of ocGBP suggest a role in innate immunity.
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Affiliation(s)
- Luca Schelle
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany
| | - João Vasco Côrte-Real
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany
- CIBIO-InBIO, Research Center in Biodiversity and Genetic Resources, University of Porto, Vairão, Portugal
- Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
| | - Sharmeen Fayyaz
- Institute for Medical Virology and Epidemiology of Viral Diseases, University Hospital Tübingen, Tübingen, Germany
- National Institute of Virology, International Center of Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Augusto del Pozo Ben
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany
| | - Margarita Shnipova
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany
| | - Moritz Petersen
- Institute for Medical Virology and Epidemiology of Viral Diseases, University Hospital Tübingen, Tübingen, Germany
| | - Rishikesh Lotke
- Institute for Medical Virology and Epidemiology of Viral Diseases, University Hospital Tübingen, Tübingen, Germany
| | - Bhavna Menon
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany
| | - Dana Matzek
- Biomedical Center (BMC), Core facility Animal Models (CAM), Faculty of Medicine, LMU München, Munich, Germany
| | - Lena Pfaff
- Biomedical Center (BMC), Core facility Animal Models (CAM), Faculty of Medicine, LMU München, Munich, Germany
| | - Ana Pinheiro
- CIBIO-InBIO, Research Center in Biodiversity and Genetic Resources, University of Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
| | - João Pedro Marques
- CIBIO-InBIO, Research Center in Biodiversity and Genetic Resources, University of Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
- ISEM, University of Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - José Melo-Ferreira
- CIBIO-InBIO, Research Center in Biodiversity and Genetic Resources, University of Porto, Vairão, Portugal
- Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
| | - Bastian Popper
- Biomedical Center (BMC), Core facility Animal Models (CAM), Faculty of Medicine, LMU München, Munich, Germany
| | - Pedro José Esteves
- CIBIO-InBIO, Research Center in Biodiversity and Genetic Resources, University of Porto, Vairão, Portugal
- Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
- CITS - Center of Investigation in Health Technologies, CESPU, Gandra, Portugal
| | - Daniel Sauter
- Institute for Medical Virology and Epidemiology of Viral Diseases, University Hospital Tübingen, Tübingen, Germany
| | - Joana Abrantes
- CIBIO-InBIO, Research Center in Biodiversity and Genetic Resources, University of Porto, Vairão, Portugal
- Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
| | - Hanna-Mari Baldauf
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany
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19
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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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20
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Benítez-Burraco A, Uriagereka J, Nataf S. The genomic landscape of mammal domestication might be orchestrated by selected transcription factors regulating brain and craniofacial development. Dev Genes Evol 2023; 233:123-135. [PMID: 37552321 PMCID: PMC10746608 DOI: 10.1007/s00427-023-00709-7] [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: 02/26/2023] [Accepted: 07/27/2023] [Indexed: 08/09/2023]
Abstract
Domestication transforms once wild animals into tamed animals that can be then exploited by humans. The process entails modifications in the body, cognition, and behavior that are essentially driven by differences in gene expression patterns. Although genetic and epigenetic mechanisms were shown to underlie such differences, less is known about the role exerted by trans-regulatory molecules, notably transcription factors (TFs) in domestication. In this paper, we conducted extensive in silico analyses aimed to clarify the TF landscape of mammal domestication. We first searched the literature, so as to establish a large list of genes selected with domestication in mammals. From this list, we selected genes experimentally demonstrated to exhibit TF functions. We also considered TFs displaying a statistically significant number of targets among the entire list of (domestication) selected genes. This workflow allowed us to identify 5 candidate TFs (SOX2, KLF4, MITF, NR3C1, NR3C2) that were further assessed in terms of biochemical and functional properties. We found that such TFs-of-interest related to mammal domestication are all significantly involved in the development of the brain and the craniofacial region, as well as the immune response and lipid metabolism. A ranking strategy, essentially based on a survey of protein-protein interactions datasets, allowed us to identify SOX2 as the main candidate TF involved in domestication-associated evolutionary changes. These findings should help to clarify the molecular mechanics of domestication and are of interest for future studies aimed to understand the behavioral and cognitive changes associated to domestication.
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Affiliation(s)
- Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature (Linguistics), Faculty of Philology, University of Seville, Seville, Spain.
- Área de Lingüística General, Departamento de Lengua Española, Lingüística y Teoría de la Literatura, Facultad de Filología, Universidad de Sevilla, C/ Palos de la Frontera s/n., 41007-, Sevilla, España.
| | - Juan Uriagereka
- Department of Linguistics and School of Languages, Literatures & Cultures, University of Maryland, College Park, MD, USA
| | - Serge Nataf
- Stem-cell and Brain Research Institute, 18 avenue de Doyen Lépine, F-69500, Bron, France
- University of Lyon 1, 43 Bd du 11 Novembre 1918, F-69100, Villeurbanne, France
- Bank of Tissues and Cells, Hospices Civils de Lyon, Hôpital Edouard Herriot, Place d'Arsonval, F-69003, Lyon, France
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21
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Li H, Jin L, Wang Y, Hu S, Long K, Li M. Identification and analysis of circRNAs in the prefrontal cortices of wild boar and domestic pig. Anim Biotechnol 2023; 34:2596-2607. [PMID: 35960868 DOI: 10.1080/10495398.2022.2109040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Domestication caused significant differences in morphology and behavior between wild and domestic pigs. However, the regulatory role of circRNA in this event is unclear. Here, we analyzed circRNA expression patterns in the prefrontal cortices of wild boar and domestic pigs to determine the potential role of circRNAs in domestication. We identified a total of 11,375 circRNAs and found that 349 and 354 circRNAs were up-regulated in wild boar and Rongchang pig, respectively. Functional enrichment analysis showed that host genes of significantly highly-expressed circRNAs in wild boar were significantly enriched in neural synapse-related categories and the categories of 'regulation of defense response (p = 0.028)' and 'neural retina development (p = 4.32 × 10-3)'. Host genes of significantly highly-expressed circRNAs in Rongchang pig were specifically involved in 'chordate embryonic development (p = 2.38 × 10-4)'. Additionally, we constructed circRNA-miRNA-mRNA regulatory axes in wild boar and Rongchang pig and found more regulatory axes in wild boar that potentially regulate synaptic activities. We identified multiple circRNAs that may be related to domesticated characteristics, such as ssc_circ_6179 (ssc_circ_6179-ssc-miR-9847-HRH3, related to aggression) and ssc_circ_3027 (ssc_circ_3027-ssc-miR-4334-5p-HCRTR1, related to attention). This study provides a resource for further investigation of the molecular basis of pig domestication.
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Affiliation(s)
- Hengkuan Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Long Jin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yuhao Wang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Silu Hu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Keren Long
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Mingzhou Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
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22
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Ballan M, Bovo S, Bertolini F, Schiavo G, Schiavitto M, Negrini R, Fontanesi L. Population genomic structures and signatures of selection define the genetic uniqueness of several fancy and meat rabbit breeds. J Anim Breed Genet 2023; 140:663-678. [PMID: 37435689 DOI: 10.1111/jbg.12818] [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: 03/18/2023] [Revised: 06/25/2023] [Accepted: 07/02/2023] [Indexed: 07/13/2023]
Abstract
Following the recent domestication process of the European rabbit (Oryctolagus cuniculus), many different breeds and lines, distinguished primarily by exterior traits such as coat colour, fur structure and body size and shape, have been constituted. In this study, we genotyped, with a high-density single-nucleotide polymorphism panel, a total of 645 rabbits from 10 fancy breeds (Belgian Hare, Champagne d'Argent, Checkered Giant, Coloured Dwarf, Dwarf Lop, Ermine, Giant Grey, Giant White, Rex and Rhinelander) and three meat breeds (Italian White, Italian Spotted and Italian Silver). ADMIXTURE analysis indicated that breeds with similar phenotypic traits (e.g. coat colour and body size) shared common ancestries. Signatures of selection using two haplotype-based approaches (iHS and XP-EHH), combined with the results obtained with other methods previously reported that we applied to the same breeds, we identified a total of 5079 independent genomic regions with some signatures of selection, covering about 1777 Mb of the rabbit genome. These regions consistently encompassed many genes involved in pigmentation processes (ASIP, EDNRA, EDNRB, KIT, KITLG, MITF, OCA2, TYR and TYRP1), coat structure (LIPH) and body size, including two major genes (LCORL and HMGA2) among many others. This study revealed novel genomic regions under signatures of selection and further demonstrated that population structures and signatures of selection, left into the genome of these rabbit breeds, may contribute to understanding the genetic events that led to their constitution and the complex genetic mechanisms determining the broad phenotypic variability present in these untapped rabbit genetic resources.
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Affiliation(s)
- Mohamad Ballan
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Samuele Bovo
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Francesca Bertolini
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Giuseppina Schiavo
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Michele Schiavitto
- Associazione Nazionale Coniglicoltori Italiani (ANCI), Volturara Appula, Italy
| | | | - Luca Fontanesi
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
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23
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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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24
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Koller D, Benítez-Burraco A, Polimanti R. Enrichment of self-domestication and neural crest function loci in the heritability of neurodevelopmental disorders. Hum Genet 2023; 142:1271-1279. [PMID: 36930228 PMCID: PMC10472204 DOI: 10.1007/s00439-023-02541-5] [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: 12/27/2022] [Accepted: 03/01/2023] [Indexed: 03/18/2023]
Abstract
Self-domestication could contribute to shaping the biology of human brain and consequently the predisposition to neurodevelopmental disorders. Leveraging genome-wide data from the Psychiatric Genomics Consortium, we tested the enrichment of self-domestication and neural crest function loci with respect to the heritability of autism spectrum disorder, schizophrenia (SCZ in East Asian and European ancestries, EAS and EUR, respectively), attention-deficit/hyperactivity disorder, obsessive-compulsive disorder, and Tourette's syndrome (TS). Considering only self-domestication and neural-crest-function annotations in the linkage disequilibrium score regression (LDSC) model, our partitioned heritability analysis revealed statistically significant enrichments across all disorders investigated. The estimates of the heritability enrichments for self-domestication loci were similar across neurodevelopmental disorders, ranging from 0.902 (EAS SCZ, p = 4.55 × 10-20) to 1.577 (TS, p = 5.85 × 10-5). Conversely, a wider spectrum of heritability enrichment estimates was present for neural crest function with the highest enrichment observed for TS (enrichment = 3.453, p = 2.88 × 10-3) and the lowest for EAS SCZ (enrichment = 1.971, p = 3.81 × 10-3). Although these estimates appear to be strong, the enrichments for self-domestication and neural crest function were null once we included additional annotations related to different genomic features. This indicates that the effect of self-domestication on the polygenic architecture of neurodevelopmental disorders is not independent of other functions of human genome.
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Affiliation(s)
- Dora Koller
- Department of Psychiatry, Yale School of Medicine, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, 08028, Barcelona, Catalonia, Spain
| | - Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature (Linguistics), Faculty of Philology, University of Seville, 41004, Seville, Spain
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA.
- VA CT Healthcare Center, West Haven, CT, 06516, USA.
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25
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Rabbit welfare at shows. Vet Rec 2023; 193:43-44. [PMID: 37417495 DOI: 10.1002/vetr.3243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
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26
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Li M, Li X, Wu Z, Zhang G, Wang N, Dou M, Liu S, Yang C, Meng G, Sun H, Hvilsom C, Xie G, Li Y, Li ZH, Wang W, Jiang Y, Heller R, Wang Y. Convergent molecular evolution of thermogenesis and circadian rhythm in Arctic ruminants. Proc Biol Sci 2023; 290:20230538. [PMID: 37253422 PMCID: PMC10229229 DOI: 10.1098/rspb.2023.0538] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 05/02/2023] [Indexed: 06/01/2023] Open
Abstract
The muskox and reindeer are the only ruminants that have evolved to survive in harsh Arctic environments. However, the genetic basis of this Arctic adaptation remains largely unclear. Here, we compared a de novo assembled muskox genome with reindeer and other ruminant genomes to identify convergent amino acid substitutions, rapidly evolving genes and positively selected genes among the two Arctic ruminants. We found these candidate genes were mainly involved in brown adipose tissue (BAT) thermogenesis and circadian rhythm. Furthermore, by integrating transcriptomic data from goat adipose tissues (white and brown), we demonstrated that muskox and reindeer may have evolved modulating mitochondrion, lipid metabolism and angiogenesis pathways to enhance BAT thermogenesis. In addition, results from co-immunoprecipitation experiments prove that convergent amino acid substitution of the angiogenesis-related gene hypoxia-inducible factor 2alpha (HIF2A), resulting in weakening of its interaction with prolyl hydroxylase domain-containing protein 2 (PHD2), may increase angiogenesis of BAT. Altogether, our work provides new insights into the molecular mechanisms involved in Arctic adaptation.
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Affiliation(s)
- Manman Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, People's Republic of China
| | - Xinmei Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, People's Republic of China
| | - Zhipei Wu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, People's Republic of China
| | - Guanghui Zhang
- Key Laboratory of Animal Biotechnology, Ministry of Agriculture and Rural Affairs, Northwest A&F University, Yangling 712100, People's Republic of China
| | - Nini Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, People's Republic of China
| | - Mingle Dou
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, People's Republic of China
| | - Shanlin Liu
- Department of Entomology, China Agricultural University, West Yuanmingyuan Road, Beijing 100193, People's Republic of China
| | - Chentao Yang
- BGI Shenzhen, Shenzhen 518083, People's Republic of China
| | - Guanliang Meng
- Centre of Taxonomy and Evolutionary Research, Zoological Research Museum Alexander Koenig, 53113 Bonn, Germany
| | - Hailu Sun
- BGI Shenzhen, Shenzhen 518083, People's Republic of China
| | | | - Guoxiang Xie
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, People's Republic of China
| | - Yang Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, People's Republic of China
| | - Zhuo hui Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, People's Republic of China
| | - Wei Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, People's Republic of 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, People's Republic of China
| | - Rasmus Heller
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark
| | - 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, People's Republic of China
- Key Laboratory of Animal Biotechnology, Ministry of Agriculture and Rural Affairs, Northwest A&F University, Yangling 712100, People's Republic of China
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27
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Hecht EE, Barton SA, Rogers Flattery CN, Meza Meza A. The evolutionary neuroscience of domestication. Trends Cogn Sci 2023; 27:553-567. [PMID: 37087363 DOI: 10.1016/j.tics.2023.03.008] [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: 01/24/2023] [Revised: 03/17/2023] [Accepted: 03/22/2023] [Indexed: 04/24/2023]
Abstract
How does domestication affect the brain? This question has broad relevance. Domesticated animals play important roles in human society, and substantial recent work has addressed the hypotheses that a domestication syndrome links phenotypes across species, including Homo sapiens. Surprisingly, however, neuroscience research on domestication remains largely disconnected from current knowledge about how and why brains change in evolution. This article aims to bridge that gap. Examination of recent research reveals some commonalities across species, but ultimately suggests that brain changes associated with domestication are complex and variable. We conclude that interactions between behavioral, metabolic, and life-history selection pressures, as well as the role the role of experience and environment, are currently largely overlooked and represent important directions for future research.
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Affiliation(s)
- Erin E Hecht
- Department of Human Evolutionary Biology, Harvard University, 11 Divinity Avenue, Cambridge, MA 02171, USA.
| | - Sophie A Barton
- Department of Human Evolutionary Biology, Harvard University, 11 Divinity Avenue, Cambridge, MA 02171, USA
| | | | - Araceli Meza Meza
- Department of Human Evolutionary Biology, Harvard University, 11 Divinity Avenue, Cambridge, MA 02171, USA
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28
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Liu X, Zhang Y, Pu Y, Ma Y, Jiang L. Whole-genome identification of transposable elements reveals the equine repetitive element insertion polymorphism in Chinese horses. Anim Genet 2023; 54:144-154. [PMID: 36464985 DOI: 10.1111/age.13277] [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: 08/13/2022] [Revised: 10/29/2022] [Accepted: 11/14/2022] [Indexed: 12/12/2022]
Abstract
Transposable elements (TEs) are diverse, abundant, and complicated in genomes. They not only can drive the genome evolution process but can also act as special resources for adaptation. However, little is known about the evolutionary processes that shaped horses. In this work, 126 horse assemblages involved in most horse breeds in China were used to investigate the patterns of TE variation for the first time. By using RepeatMasker and melt software, we found that the horse-specific short interspersed repetitive elements family, equine repetitive elements (ERE1), exhibited polymorphisms in horse genomes. Phylogenetic analysis based on these ERE1 loci (minor allele frequency ≥0.05) revealed three major horse groups, namely, those in northern China, southern China, and Qinghai-Tibetan, which mirrors the result determined by SNPs to some extent. The present ERE1 family emerged ~0.26 to 1.77 Mya ago, with an activity peak at ~0.49 Mya, which matches the early stage of the horse lineage and decreases after the divergence of Equus caballus and Equus ferus przewalskii. To detect the functional ERE1(s) associated with adaptation, locus-specific branch length, genome-wide association study, and absolute allele frequency difference analyses were conducted and resulted in two common protein-coding genes annotated by candidate ERE1s. They were clustered into the vascular smooth muscle contraction (p = 0.01, EDNRA) and apelin signalling pathways (p = 0.02, NRF1). Notably, ERE1 insertion into the EDNRA gene showed a higher association with adaptation among southern China horses and other horses in 15 populations and 451 individuals (p = 4.55 e-8). Our results provide a comprehensive understanding of TE variations to analyse the phylogenetic relationships and traits relevant to adaptive evolution in horses.
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Affiliation(s)
- Xuexue Liu
- National Germplasm Centre of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,Centre d'Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France
| | - Yanli Zhang
- National Germplasm Centre of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Yabin Pu
- National Germplasm Centre of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Yuehui Ma
- National Germplasm Centre of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Lin Jiang
- National Germplasm Centre of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
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29
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Hull KL, Greenwood MP, Lloyd M, Bester-van der Merwe AE, Rhode C. Gene expression differentials driven by mass rearing and artificial selection in black soldier fly colonies. INSECT MOLECULAR BIOLOGY 2023; 32:86-105. [PMID: 36322045 DOI: 10.1111/imb.12816] [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: 02/03/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
The micro-evolutionary forces that shape genetic diversity during domestication have been assessed in many plant and animal systems. However, the impact of these processes on gene expression, and consequent functional adaptation to artificial environments, remains under-investigated. In this study, whole-transcriptome dynamics associated with the early stages of domestication of the black soldier fly (BSF), Hermetia illucens, were assessed. Differential gene expression (DGE) was evaluated in relation to (i) generational time within the cultured environment (F2 vs. F3), and (ii) two selection strategies [no artificial selective pressure (NS); and selection for greater larval mass (SEL)]. RNA-seq was conducted on 5th instar BSF larvae (n = 36), representing equal proportions of the NS (F2 = 9; F3 = 9) and SEL (F2 = 9; F3 = 9) groups. A multidimensional scaling plot revealed greater gene expression variability within the NS and F2 subgroups, while the SEL group clustered separately with lower levels of variation. Comparisons between generations revealed 898 differentially expressed genes (DEGs; FDR-corrected p < 0.05), while between selection strategies, 213 DEGs were observed (FDR-corrected p < 0.05). Enrichment analyses revealed that metabolic, developmental, and defence response processes were over-expressed in the comparison between F2 and F3 larvae, while metabolic processes were the main differentiating factor between NS and SEL lines. This illustrates the functional adaptations that occur in BSF colonies across generations due to mass rearing; as well as highlighting genic dynamics associated with artificial selection for production traits that might inform future selective breeding strategies.
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Affiliation(s)
- Kelvin L Hull
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | | | - Melissa Lloyd
- Research and Development Department, Insect Technology Group Holdings UK Ltd., Guildford, UK
| | | | - Clint Rhode
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
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30
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Gleeson BT, Wilson LAB. Shared reproductive disruption, not neural crest or tameness, explains the domestication syndrome. Proc Biol Sci 2023; 290:20222464. [PMID: 36946116 PMCID: PMC10031412 DOI: 10.1098/rspb.2022.2464] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 02/28/2023] [Indexed: 03/23/2023] Open
Abstract
Altered neural crest cell (NCC) behaviour is an increasingly cited explanation for the domestication syndrome in animals. However, recent authors have questioned this explanation, while others cast doubt on whether domestication syndrome even exists. Here, we review published literature concerning this syndrome and the NCC hypothesis, together with recent critiques of both. We synthesize these contributions and propose a novel interpretation, arguing shared trait changes under ancient domestication resulted primarily from shared disruption of wild reproductive regimes. We detail four primary selective pathways for 'reproductive disruption' under domestication and contrast these succinct and demonstrable mechanisms with cryptic genetic associations posited by the NCC hypothesis. In support of our perspective, we illustrate numerous important ways in which NCCs contribute to vertebrate reproductive phenotypes, and argue it is not surprising that features derived from these cells would be coincidentally altered under major selective regime changes, as occur in domestication. We then illustrate several pertinent examples of Darwin's 'unconscious selection' in action, and compare applied selection and phenotypic responses in each case. Lastly, we explore the ramifications of reproductive disruption for wider evolutionary discourse, including links to wild 'self-domestication' and 'island effect', and discuss outstanding questions.
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Affiliation(s)
- Ben Thomas Gleeson
- Fenner School of Environment and Society, The Australian National University, Acton, Australian Capital Territory 2601, Australia
| | - Laura A. B. Wilson
- School of Archaeology and Anthropology, The Australian National University, Acton, Australian Capital Territory 2601, Australia
- School of Biological, Earth and Environmental Sciences, University of New South Wales, Kensington, Sydney, New South Wales 2052, Australia
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31
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Ferreira MS, Thurman TJ, Jones MR, Farelo L, Kumar AV, Mortimer SME, Demboski JR, Mills LS, Alves PC, Melo-Ferreira J, Good JM. The evolution of white-tailed jackrabbit camouflage in response to past and future seasonal climates. Science 2023; 379:1238-1242. [PMID: 36952420 DOI: 10.1126/science.ade3984] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/25/2023]
Abstract
The genetic basis of adaptive traits has rarely been used to predict future vulnerability of populations to climate change. We show that light versus dark seasonal pelage in white-tailed jackrabbits (Lepus townsendii) tracks snow cover and is primarily determined by genetic variation at endothelin receptor type B (EDNRB), corin serine peptidase (CORIN), and agouti signaling protein (ASIP). Winter color variation was associated with deeply divergent alleles at these genes, reflecting selection on both ancestral and introgressed variation. Forecasted reductions in snow cover are likely to induce widespread camouflage mismatch. However, simulated populations with variation for darker winter pelage are predicted to adapt rapidly, providing a trait-based genetic framework to facilitate evolutionary rescue. These discoveries demonstrate how the genetic basis of climate change adaptation can inform conservation.
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Affiliation(s)
- Mafalda S Ferreira
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal
- Division of Biological Sciences, University of Montana, Missoula, MT, USA
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
| | - Timothy J Thurman
- Division of Biological Sciences, University of Montana, Missoula, MT, USA
| | - Matthew R Jones
- Division of Biological Sciences, University of Montana, Missoula, MT, USA
| | - Liliana Farelo
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
| | - Alexander V Kumar
- Wildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, MT, USA
- US Fish and Wildlife Service, Fort Collins, CO, USA
| | | | - John R Demboski
- Zoology Department, Denver Museum of Nature & Science, Denver, CO, USA
| | - L Scott Mills
- Wildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, MT, USA
- Office of Research and Creative Scholarship, University of Montana, Missoula, MT, USA
| | - Paulo C Alves
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
- Wildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, MT, USA
| | - José Melo-Ferreira
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
| | - Jeffrey M Good
- Division of Biological Sciences, University of Montana, Missoula, MT, USA
- Wildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, MT, USA
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32
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Yu S, Liu Z, Li M, Zhou D, Hua P, Cheng H, Fan W, Xu Y, Liu D, Liang S, Zhang Y, Xie M, Tang J, Jiang Y, Hou S, Zhou Z. Resequencing of a Pekin duck breeding population provides insights into the genomic response to short-term artificial selection. Gigascience 2023; 12:giad016. [PMID: 36971291 PMCID: PMC10041536 DOI: 10.1093/gigascience/giad016] [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: 09/29/2022] [Revised: 02/04/2023] [Accepted: 02/27/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND Short-term, intense artificial selection drives fast phenotypic changes in domestic animals and leaves imprints on their genomes. However, the genetic basis of this selection response is poorly understood. To better address this, we employed the Pekin duck Z2 pure line, in which the breast muscle weight was increased nearly 3-fold after 10 generations of breeding. We denovo assembled a high-quality reference genome of a female Pekin duck of this line (GCA_003850225.1) and identified 8.60 million genetic variants in 119 individuals among 10 generations of the breeding population. RESULTS We identified 53 selected regions between the first and tenth generations, and 93.8% of the identified variations were enriched in regulatory and noncoding regions. Integrating the selection signatures and genome-wide association approach, we found that 2 regions covering 0.36 Mb containing UTP25 and FBRSL1 were most likely to contribute to breast muscle weight improvement. The major allele frequencies of these 2 loci increased gradually with each generation following the same trend. Additionally, we found that a copy number variation region containing the entire EXOC4 gene could explain 1.9% of the variance in breast muscle weight, indicating that the nervous system may play a role in economic trait improvement. CONCLUSIONS Our study not only provides insights into genomic dynamics under intense artificial selection but also provides resources for genomics-enabled improvements in duck breeding.
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Affiliation(s)
- Simeng Yu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zihua 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
| | - Ming 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
| | - Dongke Zhou
- 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 Hua
- 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 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
| | - Wenlei Fan
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yaxi Xu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Dapeng Liu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Suyun Liang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yunsheng Zhang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ming Xie
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Jing Tang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, 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
| | - Shuisheng Hou
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zhengkui Zhou
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
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Benedek I, Altbäcker V, Zsolnai A, Nagy I, Mezőszentgyörgyi D, Molnár T. The Role of PRLR Gene Polymorphisms in Milk Production in European Wild Rabbit ( Oryctolagus cuniculus). Animals (Basel) 2023; 13:ani13040671. [PMID: 36830458 PMCID: PMC9951758 DOI: 10.3390/ani13040671] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/28/2023] [Accepted: 02/13/2023] [Indexed: 02/17/2023] Open
Abstract
One of the problematic points of rabbit breeding is that the nutritional requirements of the kits are not fully satisfied by the does' milk production from the third week of lactation onwards. The prolactin receptor gene has a significant effect on reproductive processes, and its polymorphisms have been associated with milk production in several species (cattle, goats, sheep, and buffalo). The European wild rabbit (Oryctolagus cuniculus), has a more diverse genetic background compared to domesticated lines. In the course of our study, sequencing of the 1210 bp long segment of the PRLR gene promoter region was accomplished. We detected four point mutations (SNP1-407G > A, SNP2-496G > C, SNP3-926T> and SNP4-973A > C) and one microsatellite at position 574. In our population, the four SNPs were segregated into four genotypes: AACCCCCC, GGGGTTAA, AAGGTTAC, and GGGGTCAC. Our results show that the genotype in the homozygous form is associated with higher milk production (1564.7 ± 444.7 g) compared to the other three genotypes (AACCCCCC 1399.1 ± 326.8 g; GTGACCTT 1403.8 ± 517.1 g; GGGGTCAC 1220.0 ± 666.2 g), and the short microsatellite repeat (167 bp) also coincides with significantly higher milk production (1623.8 ± 525.1 g). These results make the marker-assisted selection possible also for domesticated lines.
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Affiliation(s)
- Ildikó Benedek
- Department of Animal Breeding, Institute of Animal Breeding Sciences, Hungarian University of Agriculture and Life Sciences, 7400 Kaposvar, Hungary
- Correspondence: or (I.B.); (T.M.)
| | - Vilmos Altbäcker
- Department of Nature Conservation, Institute for Wildlife Management and Nature, Hungarian University of Agriculture and Life Sciences, 7400 Kaposvar, Hungary
| | - Attila Zsolnai
- Department of Animal Breeding, Institute of Animal Breeding Sciences, Hungarian University of Agriculture and Life Sciences, 7400 Kaposvar, Hungary
| | - István Nagy
- Department of Animal Breeding, Institute of Animal Breeding Sciences, Hungarian University of Agriculture and Life Sciences, 7400 Kaposvar, Hungary
| | - Dávid Mezőszentgyörgyi
- Department of Animal Breeding, Institute of Animal Breeding Sciences, Hungarian University of Agriculture and Life Sciences, 7400 Kaposvar, Hungary
| | - Tamás Molnár
- Department of Molecular Ecology, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, 7400 Kaposvar, Hungary
- Correspondence: or (I.B.); (T.M.)
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Chen Z, Zhu M, Wu Q, Lu H, Lei C, Ahmed Z, Sun J. Analysis of genetic diversity and selection characteristics using the whole genome sequencing data of five buffaloes, including Xilin buffalo, in Guangxi, China. Front Genet 2023; 13:1084824. [PMID: 36699455 PMCID: PMC9869173 DOI: 10.3389/fgene.2022.1084824] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 12/27/2022] [Indexed: 01/12/2023] Open
Abstract
Buffalo is an economically important livestock that renders useful services to manhood in terms of meat, milk, leather, and draught. The Xilin buffalo is among the native buffalo breeds of China. In the present study, the genetic architecture and selection signature signals of Xilin buffalo have been explored. Correlation analysis of the population structure of Xilin buffalo was conducted by constructing NJ tree, PCA, ADMIXTURE and other methods. A total of twenty-five (n = 25) Xilin buffalo whole genome data and data of forty-six (n = 46) buffaloes published data were used. The population structure analysis showed that the Xilin buffalo belong to the Middle-Lower Yangtze. The genome diversity of Xilin buffalo was relatively high. The CLR, π ratio, F ST, and XP-EHH were used to detect the candidate genes characteristics of positive selection in Xilin buffalo. Among the identified genes, most of the enriched signal pathways were related to the nervous system and metabolism. The mainly reported genes were related to the nervous system (GRM5, GRIK2, GRIA4), reproductive genes (CSNK1G2, KCNIP4), and lactation (TP63). The results of this study are of great significance for understanding the molecular basis of phenotypic variation of related traits of Xilin buffalo. We provide a comprehensive overview of sequence variations in Xilin buffalo genomes. Selection signatures were detected in genomic regions that are possibly related to economically important traits in Xilin buffalo and help in future breeding and conservation programs of this important livestock genetic resource.
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Affiliation(s)
- Zhefu Chen
- Guangxi Key Laboratory of Livestock Genetic Improvement, Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, China,College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Min Zhu
- Guangxi Key Laboratory of Livestock Genetic Improvement, Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Qiang Wu
- Guangxi Key Laboratory of Livestock Genetic Improvement, Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Huilin Lu
- Guangxi Key Laboratory of Livestock Genetic Improvement, Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Chuzhao Lei
- 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, China
| | - Junli Sun
- Guangxi Key Laboratory of Livestock Genetic Improvement, Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, China,*Correspondence: Junli Sun,
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Mora M, Velasco-Galilea M, Sánchez JP, Ramayo-Caldas Y, Piles M. Disentangling the causal relationship between rabbit growth and cecal microbiota through structural equation models. Genet Sel Evol 2022; 54:81. [PMID: 36536288 PMCID: PMC9762025 DOI: 10.1186/s12711-022-00770-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The effect of the cecal microbiome on growth of rabbits that were fed under different regimes has been studied previously. However, the term "effect" carries a causal meaning that can be confounded because of potential genetic associations between the microbiome and production traits. Structural equation models (SEM) can help disentangle such a complex interplay by decomposing the effect on a production trait into direct host genetics effects and indirect host genetic effects that are exerted through microbiota effects. These indirect effects can be estimated via structural coefficients that measure the effect of the microbiota on growth while the effects of the host genetics are kept constant. In this study, we applied the SEM approach to infer causal relationships between the cecal microbiota and growth of rabbits fed under ad libitum (ADGAL) or restricted feeding (ADGR). RESULTS We identified structural coefficients that are statistically different from 0 for 138 of the 946 operational taxonomic units (OTU) analyzed. However, only 15 and 38 of these 138 OTU had an effect greater than 0.2 phenotypic standard deviations (SD) on ADGAL and ADGR, respectively. Many of these OTU had a negative effect on both traits. The largest effects on ADGR were exerted by an OTU that is taxonomically assigned to the Desulfovibrio genus (- 1.929 g/d, CSS-normalized OTU units) and by an OTU that belongs to the Ruminococcaceae family (1.859 g/d, CSS-normalized OTU units). For ADGAL, the largest effect was from OTU that belong to the S24-7 family (- 1.907 g/d, CSS-normalized OTU units). In general, OTU that had a substantial effect had low to moderate estimates of heritability. CONCLUSIONS Disentangling how direct and indirect effects act on production traits is relevant to fully describe the processes of mediation but also to understand how these traits change before considering the application of an external intervention aimed at changing a given microbial composition by blocking/promoting the presence of a particular microorganism.
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Affiliation(s)
- Mónica Mora
- Institute of Agrifood Research and Technology (IRTA)-Animal Breeding and Genetics, Caldes de Montbui, Barcelona Spain
| | - María Velasco-Galilea
- Institute of Agrifood Research and Technology (IRTA)-Animal Breeding and Genetics, Caldes de Montbui, Barcelona Spain ,Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Cerdanyola del Vallès, Barcelona Spain
| | - Juan Pablo Sánchez
- Institute of Agrifood Research and Technology (IRTA)-Animal Breeding and Genetics, Caldes de Montbui, Barcelona Spain
| | - Yuliaxis Ramayo-Caldas
- Institute of Agrifood Research and Technology (IRTA)-Animal Breeding and Genetics, Caldes de Montbui, Barcelona Spain
| | - Miriam Piles
- Institute of Agrifood Research and Technology (IRTA)-Animal Breeding and Genetics, Caldes de Montbui, Barcelona Spain
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36
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Balcarcel AM, Geiger M, Clauss M, Sánchez‐Villagra MR. The mammalian brain under domestication: Discovering patterns after a century of old and new analyses. JOURNAL OF EXPERIMENTAL ZOOLOGY. PART B, MOLECULAR AND DEVELOPMENTAL EVOLUTION 2022; 338:460-483. [PMID: 34813150 PMCID: PMC9787656 DOI: 10.1002/jez.b.23105] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 09/24/2021] [Accepted: 10/27/2021] [Indexed: 12/30/2022]
Abstract
Comparisons of wild and domestic populations have established brain reduction as one of the most consistent patterns correlated with domestication. Over a century of scholarly work has been devoted to this subject, and yet, new data continue to foster its debate. Current arguments, both for and against the validity of brain reduction occurring in domestic taxa, have repeatedly cited a small set of reviews on this subject. The original works, their sampling, methodological details, and nuances of results that would be key to establishing validity, particularly in light of new data, have not been investigated. To facilitate and encourage a more informed discussion, we present a comprehensive review of original brain reduction literature for four mammalian clades: Artiodactyla, Perissodactyla, Carnivora, and Glires. Among these are studies that generated the most cited brain reduction values in modern domestication literature. In doing so, we provide a fairer stage for the critique of traits associated with domestication. We conclude that while brain reduction magnitudes may contain error, empirical data collectively support the reduction in brain size and cranial capacity for domestic forms.
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Affiliation(s)
- A. M. Balcarcel
- Palaeontological Institute and MuseumUniversity of ZurichZurichSwitzerland
| | - M. Geiger
- Palaeontological Institute and MuseumUniversity of ZurichZurichSwitzerland
| | - M. Clauss
- Vetsuisse Faculty, Clinic for Zoo Animals, Exotic Pets and WildlifeUniversity of ZurichZurichSwitzerland
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Ballan M, Schiavo G, Bovo S, Schiavitto M, Negrini R, Frabetti A, Fornasini D, Fontanesi L. Comparative analysis of genomic inbreeding parameters and runs of homozygosity islands in several fancy and meat rabbit breeds. Anim Genet 2022; 53:849-862. [PMID: 36073189 PMCID: PMC9826494 DOI: 10.1111/age.13264] [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: 01/24/2022] [Revised: 07/01/2022] [Accepted: 08/25/2022] [Indexed: 01/11/2023]
Abstract
Runs of homozygosity (ROH) are defined as long stretches of DNA homozygous at each polymorphic position. The proportion of genome covered by ROH and their length are indicators of the level and origin of inbreeding. In this study, we analysed SNP chip datasets (obtained using the Axiom OrcunSNP Array) of a total of 702 rabbits from 12 fancy breeds and four meat breeds to identify ROH with different approaches and calculate several genomic inbreeding parameters. The highest average number of ROH per animal was detected in Belgian Hare (~150) and the lowest in Italian Silver (~106). The average length of ROH ranged from 4.001 ± 0.556 Mb in Italian White to 6.268 ± 1.355 Mb in Ermine. The same two breeds had the lowest (427.9 ± 86.4 Mb, Italian White) and the highest (921.3 ± 179.8 Mb, Ermine) average values of the sum of all ROH segments. More fancy breeds had a higher level of genomic inbreeding (as defined by ROH) than meat breeds. Several ROH islands contain genes involved in body size, body length, pigmentation processes, carcass traits, growth, and reproduction traits (e.g.: AOX1, GPX5, IFRD1, ITGB8, NELL1, NR3C1, OCA2, TRIB1, TRIB2). Genomic inbreeding parameters can be useful to overcome the lack of information in the management of rabbit genetic resources. ROH provided information to understand, to some extent, the genetic history of rabbit breeds and to identify signatures of selection in the rabbit genome.
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Affiliation(s)
- Mohamad Ballan
- Division of Animal Sciences, Department of Agricultural and Food SciencesUniversity of BolognaBolognaItaly
| | - Giuseppina Schiavo
- Division of Animal Sciences, Department of Agricultural and Food SciencesUniversity of BolognaBolognaItaly
| | - Samuele Bovo
- Division of Animal Sciences, Department of Agricultural and Food SciencesUniversity of BolognaBolognaItaly
| | - Michele Schiavitto
- Associazione Nazionale Coniglicoltori Italiani (ANCI), Contrada Giancola SncVolturara AppulaItaly
| | | | | | | | - Luca Fontanesi
- Division of Animal Sciences, Department of Agricultural and Food SciencesUniversity of BolognaBolognaItaly
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Wang D, Xie K, Wang Y, Hu J, Li W, Yang A, Zhang Q, Ning C, Fan X. Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing. Genet Sel Evol 2022; 54:75. [PMCID: PMC9673297 DOI: 10.1186/s12711-022-00766-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 10/31/2022] [Indexed: 11/19/2022] Open
Abstract
Background Rabbit wool traits are important in fiber production and for model organism research on hair growth, but their genetic architecture remains obscure. In this study, we focused on wool characteristics in Angora rabbits, a breed well-known for the quality of its wool. Considering the cost to generate population-scale sequence data and the biased detection of variants using chip data, developing an effective genotyping strategy using low-coverage whole-genome sequencing (LCS) data is necessary to conduct genetic analyses. Results Different genotype imputation strategies (BaseVar + STITCH, Bcftools + Beagle4, and GATK + Beagle5), sequencing coverages (0.1X, 0.5X, 1.0X, 1.5X, and 2.0X), and sample sizes (100, 200, 300, 400, 500, and 600) were compared. Our results showed that using BaseVar + STITCH at a sequencing depth of 1.0X with a sample size larger than 300 resulted in the highest genotyping accuracy, with a genotype concordance higher than 98.8% and genotype accuracy higher than 0.97. We performed multivariate genome-wide association studies (GWAS), followed by conditional GWAS and estimation of the confidence intervals of quantitative trait loci (QTL) to investigate the genetic architecture of wool traits. Six QTL were detected, which explained 0.4 to 7.5% of the phenotypic variation. Gene-level mapping identified the fibroblast growth factor 10 (FGF10) gene as associated with fiber growth and diameter, which agrees with previous results from functional data analyses on the FGF gene family in other species, and is relevant for wool rabbit breeding. Conclusions We suggest that LCS followed by imputation can be a cost-effective alternative to array and high-depth sequencing for assessing common variants. GWAS combined with LCS can identify new QTL and candidate genes that are associated with quantitative traits. This study provides a cost-effective and powerful method for investigating the genetic architecture of complex traits, which will be useful for genomic breeding applications. Supplementary Information The online version contains supplementary material available at 10.1186/s12711-022-00766-y.
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Affiliation(s)
- Dan Wang
- grid.440622.60000 0000 9482 4676College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an, China
| | - Kerui Xie
- grid.440622.60000 0000 9482 4676College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an, China
| | - Yanyan Wang
- grid.440622.60000 0000 9482 4676College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an, China
| | - Jiaqing Hu
- grid.440622.60000 0000 9482 4676College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an, China
| | - Wenqiang Li
- grid.440622.60000 0000 9482 4676College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an, China
| | - Aiguo Yang
- grid.440622.60000 0000 9482 4676College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an, China
| | - Qin Zhang
- grid.440622.60000 0000 9482 4676College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an, China
| | - Chao Ning
- grid.440622.60000 0000 9482 4676College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an, China
| | - Xinzhong Fan
- grid.440622.60000 0000 9482 4676College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an, China
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Xu J, Wang Q, Wang S, Huang W, Xie Y, Gu X, He R, Peng X, Wu S, Yang G. Comparative genomics of Sarcoptes scabiei provide new insights into adaptation to permanent parasitism and within-host species divergence. Transbound Emerg Dis 2022; 69:3468-3484. [PMID: 36134513 DOI: 10.1111/tbed.14706] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 08/18/2022] [Accepted: 09/12/2022] [Indexed: 02/04/2023]
Abstract
Sarcoptes scabiei is the causative agent of a highly contagious skin disease in humans and more than 100 mammals. Here, we reported the first chromosome-level reference genome of S. scabiei isolated from rabbits, with a contig N50 size of 5.92 Mb, a total assembled length of 57.30 Mb, ∼12.65% repetitive sequences and 9333 predicted protein-coding genes. The phylogenetic tree based on 1338 shared high-confidence single-copy orthologous genes estimated that the mammalian ectoparasite S. scabiei and the plant-feeding mite Tetranychus urticae separated ∼340 million years ago. Both neighbour-joining tree and principal component analysis of 20 mite populations isolated from four hosts (humans, pigs, dogs and rabbits) distributed in three countries (China, Australia and the USA) consistently supported genetic subdivisions according to host species rather than geographical location. The demographic history of S. scabiei reconstructed by multiple sequentially Markovian coalescent analysis suggested that S. scabiei isolated from rabbits, humans, dogs and pigs diverged ∼5000 years ago. Investigation of the homeobox (Hox) genes revealed that S. scabiei contains 8 of 10 canonical Hox genes that are present in the arthropod ancestor, and the absence of the Abd-A gene may correlate with the long gap between their front and back legs. Comparative genomics demonstrated that genes specific to scabies mites were mainly enriched in nutrition digestive systems, whereas genes in the families that involved detoxification (cytochrome P450, carboxyl/cholinesterases and the ATP-binding cassette transporter C group) were extremely contracted compared with that of other mites analysed in this study. Selective sweep analysis of mite populations from various pairs of two out of the four host species revealed that the strongest selective sweep signals were mainly enriched in cysteine-type peptidase activity and apoptosis. The results provided clues for the mechanisms of S. scabiei adaptation to a permanent parasitic lifestyle and knowledge that would enable further control of this highly contagious skin disease.
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Affiliation(s)
- Jing Xu
- Department, of Parasitology, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | | | - Sen Wang
- Beijing Key Laboratory for Agricultural Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China.,Bioinformatics Center, Beijing University of Agriculture, Beijing, China
| | | | - Yue Xie
- Department, of Parasitology, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xiaobin Gu
- Department, of Parasitology, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Ran He
- Department, of Parasitology, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xuerong Peng
- Department of Chemistry, College of Life and Basic Science, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Shuangyang Wu
- Gregor Mendel Institute, Austrian Academy of Sciences, Vienna, Austria
| | - Guangyou Yang
- Department, of Parasitology, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
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Villamayor PR, Gullón J, Quintela L, Sánchez-Quinteiro P, Martínez P, Robledo D. Sex separation unveils the functional plasticity of the vomeronasal organ in rabbits. Front Mol Neurosci 2022; 15:1034254. [PMID: 36340690 PMCID: PMC9634631 DOI: 10.3389/fnmol.2022.1034254] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 10/03/2022] [Indexed: 02/10/2024] Open
Abstract
Chemosensory cues are vital for social and sexual behaviours and are primarily detected and processed by the vomeronasal system (VNS), whose plastic capacity has been investigated in mice. However, studying chemosensory plasticity outside of laboratory conditions may give a more realistic picture of how the VNS adapts to a changing environment. Rabbits are a well-described model of chemocommunication since the discovery of the rabbit mammary pheromone and their vomeronasal organ (VNO) transcriptome was recently characterised, a first step to further study plasticity-mediated transcriptional changes. In this study, we assessed the plastic capacity of the rabbit male and female VNO under sex-separation vs. sex-combined scenarios, including adults and juveniles, to determine whether the rabbit VNO is plastic and, if so, whether such plasticity is already established at early stages of life. First, we characterised the number of differentially expressed genes (DEGs) between the VNO of rabbit male and female under sex-separation and compared it to sex-combined individuals, both in adults and juveniles, finding that differences between male and female were larger in a sex-separated scenario. Secondly, we analysed the number of DEGs between sex-separated and sex-combined scenarios, both in males and females. In adults, both sexes showed a high number of DEGs while in juveniles only females showed differences. Additionally, the vomeronasal receptor genes were strikingly downregulated in sex-separated adult females, whereas in juveniles upregulation was shown for the same condition, suggesting a role of VRs in puberty onset. Finally, we described the environment-modulated plastic capacity of genes involved in reproduction, immunity and VNO functional activity, including G-protein coupled receptors. Our results show that sex-separation induces sex- and stage-specific gene expression differences in the VNO of male and female rabbit, both in adults and juveniles. These results bring out for the first time the plastic capacity of the rabbit VNO, supporting its functional adaptation to specifically respond to a continuous changing environment. Finally, species-specific differences and individual variability should always be considered in VNO studies and overall chemocommunication research.
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Affiliation(s)
- Paula R. Villamayor
- Departamento de Zooloxía, Xenética e Antropoloxía Física, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo, Spain
- Departamento de Anatomía, Producción Animal e Ciencias Clínicas Veterinarias, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo, Spain
| | | | - Luis Quintela
- Departamento de Patoloxía Animal, Facultade de Veterinaria Universidade de Santiago de Compostela, Lugo, Spain
| | - Pablo Sánchez-Quinteiro
- Departamento de Anatomía, Producción Animal e Ciencias Clínicas Veterinarias, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo, Spain
| | - Paulino Martínez
- Departamento de Zooloxía, Xenética e Antropoloxía Física, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo, Spain
| | - Diego Robledo
- The Roslin Institute, The Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, United Kingdom
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Transcription Factors as Important Regulators of Changes in Behavior through Domestication of Gray Rats: Quantitative Data from RNA Sequencing. Int J Mol Sci 2022; 23:ijms232012269. [PMID: 36293128 PMCID: PMC9603081 DOI: 10.3390/ijms232012269] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/28/2022] [Accepted: 10/12/2022] [Indexed: 11/16/2022] Open
Abstract
Studies on hereditary fixation of the tame-behavior phenotype during animal domestication remain relevant and important because they are of both basic research and applied significance. In model animals, gray rats Rattus norvegicus bred for either an enhancement or reduction in defensive response to humans, for the first time, we used high-throughput RNA sequencing to investigate differential expression of genes in tissue samples from the tegmental region of the midbrain in 2-month-old rats showing either tame or aggressive behavior. A total of 42 differentially expressed genes (DEGs; adjusted p-value < 0.01 and fold-change > 2) were identified, with 20 upregulated and 22 downregulated genes in the tissue samples from tame rats compared with aggressive rats. Among them, three genes encoding transcription factors (TFs) were detected: Ascl3 was upregulated, whereas Fos and Fosb were downregulated in tissue samples from the brains of tame rats brain. Other DEGs were annotated as associated with extracellular matrix components, transporter proteins, the neurotransmitter system, signaling molecules, and immune system proteins. We believe that these DEGs encode proteins that constitute a multifactorial system determining the behavior for which the rats have been artificially selected. We demonstrated that several structural subtypes of E-box motifs—known as binding sites for many developmental TFs of the bHLH class, including the ASCL subfamily of TFs—are enriched in the set of promoters of the DEGs downregulated in the tissue samples of tame rats’. Because ASCL3 may act as a repressor on target genes of other developmental TFs of the bHLH class, we hypothesize that the expression of TF gene Ascl3 in tame rats indicates longer neurogenesis (as compared to aggressive rats), which is a sign of neoteny and domestication. Thus, our domestication model shows a new function of TF ASCL3: it may play the most important role in behavioral changes in animals.
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42
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Liu M, Yu C, Zhang Z, Song M, Sun X, Piálek J, Jacob J, Lu J, Cong L, Zhang H, Wang Y, Li G, Feng Z, Du Z, Wang M, Wan X, Wang D, Wang YL, Li H, Wang Z, Zhang B, Zhang Z. Whole-genome sequencing reveals the genetic mechanisms of domestication in classical inbred mice. Genome Biol 2022; 23:203. [PMID: 36163035 PMCID: PMC9511766 DOI: 10.1186/s13059-022-02772-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 09/12/2022] [Indexed: 11/10/2022] Open
Abstract
Background The laboratory mouse was domesticated from the wild house mouse. Understanding the genetics underlying domestication in laboratory mice, especially in the widely used classical inbred mice, is vital for studies using mouse models. However, the genetic mechanism of laboratory mouse domestication remains unknown due to lack of adequate genomic sequences of wild mice. Results We analyze the genetic relationships by whole-genome resequencing of 36 wild mice and 36 inbred strains. All classical inbred mice cluster together distinctly from wild and wild-derived inbred mice. Using nucleotide diversity analysis, Fst, and XP-CLR, we identify 339 positively selected genes that are closely associated with nervous system function. Approximately one third of these positively selected genes are highly expressed in brain tissues, and genetic mouse models of 125 genes in the positively selected genes exhibit abnormal behavioral or nervous system phenotypes. These positively selected genes show a higher ratio of differential expression between wild and classical inbred mice compared with all genes, especially in the hippocampus and frontal lobe. Using a mutant mouse model, we find that the SNP rs27900929 (T>C) in gene Astn2 significantly reduces the tameness of mice and modifies the ratio of the two Astn2 (a/b) isoforms. Conclusion Our study indicates that classical inbred mice experienced high selection pressure during domestication under laboratory conditions. The analysis shows the positively selected genes are closely associated with behavior and the nervous system in mice. Tameness may be related to the Astn2 mutation and regulated by the ratio of the two Astn2 (a/b) isoforms. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02772-1.
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Affiliation(s)
- Ming Liu
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,International Society of Zoological Sciences, Beijing, China.,State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Caixia Yu
- Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China.,National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Zhichao Zhang
- Novogene Bioinformatics Institute, Beijing, China.,Glbizzia Biosciences, Beijing, China
| | - Mingjing Song
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiuping Sun
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Beijing, China
| | - Jaroslav Piálek
- House Mouse Group, Research Facility Studenec, Institute of Vertebrate Biology of the Czech Academy of Sciences, Brno, Czech Republic
| | - Jens Jacob
- Julius Kühn-Institute, Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Horticulture and Forests / Institute for Epidemiology and Pathogen Diagnostics, Münster, Germany
| | - Jiqi Lu
- School of Life Science, Zhengzhou University, Zhengzhou, Henan, China
| | - Lin Cong
- Institute of Plant Protection, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, China
| | - Hongmao Zhang
- School of Life Sciences, Central China Normal University, Wuhan, Hubei, China
| | - Yong Wang
- Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China
| | - Guoliang Li
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
| | - Zhiyong Feng
- Plant Protection Research Institute Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, China
| | - Zhenglin Du
- Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China.,National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Meng Wang
- Novogene Bioinformatics Institute, Beijing, China
| | - Xinru Wan
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Dawei Wang
- Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yan-Ling Wang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Hongjun Li
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Zuoxin Wang
- Department of Psychology and Program in Neuroscience, Florida State University, Tallahassee, FL, 32306, USA
| | - Bing Zhang
- Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China.
| | - Zhibin Zhang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China. .,International Society of Zoological Sciences, Beijing, China. .,CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China.
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43
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Lobo D, Linheiro R, Godinho R, Archer JP. On taming the effect of transcript level intra-condition count variation during differential expression analysis: A story of dogs, foxes and wolves. PLoS One 2022; 17:e0274591. [PMID: 36136981 PMCID: PMC9498955 DOI: 10.1371/journal.pone.0274591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 08/31/2022] [Indexed: 11/22/2022] Open
Abstract
The evolution of RNA-seq technologies has yielded datasets of scientific value that are often generated as condition associated biological replicates within expression studies. With expanding data archives opportunity arises to augment replicate numbers when conditions of interest overlap. Despite correction procedures for estimating transcript abundance, a source of ambiguity is transcript level intra-condition count variation; as indicated by disjointed results between analysis tools. We present TVscript, a tool that removes reference-based transcripts associated with intra-condition count variation above specified thresholds and we explore the effects of such variation on differential expression analysis. Initially iterative differential expression analysis involving simulated counts, where levels of intra-condition variation and sets of over represented transcripts are explicitly specified, was performed. Then counts derived from inter- and intra-study data representing brain samples of dogs, wolves and foxes (wolves vs. dogs and aggressive vs. tame foxes) were used. For simulations, the sensitivity in detecting differentially expressed transcripts increased after removing hyper-variable transcripts, although at levels of intra-condition variation above 5% detection became unreliable. For real data, prior to applying TVscript, ≈20% of the transcripts identified as being differentially expressed were associated with high levels of intra-condition variation, an over representation relative to the reference set. As transcripts harbouring such variation were removed pre-analysis, a discordance from 26 to 40% in the lists of differentially expressed transcripts is observed when compared to those obtained using the non-filtered reference. The removal of transcripts possessing intra-condition variation values within (and above) the 97th and 95th percentiles, for wolves vs. dogs and aggressive vs. tame foxes, maximized the sensitivity in detecting differentially expressed transcripts as a result of alterations within gene-wise dispersion estimates. Through analysis of our real data the support for seven genes with potential for being involved with selection for tameness is provided. TVscript is available at: https://sourceforge.net/projects/tvscript/.
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Affiliation(s)
- Diana Lobo
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- BIOPOLIS, Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
- * E-mail: (DL); (JPA)
| | - Raquel Linheiro
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
| | - Raquel Godinho
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- BIOPOLIS, Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
| | - John Patrick Archer
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- BIOPOLIS, Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
- * E-mail: (DL); (JPA)
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44
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Liu Y, Fu Y, Yang Y, Yi G, Lian J, Xie B, Yao Y, Chen M, Niu Y, Liu L, Wang L, Zhang Y, Fan X, Tang Y, Yuan P, Zhu M, Li Q, Zhang S, Chen Y, Wang B, He J, Lu D, Liachko I, Sullivan ST, Pang B, Chen Y, He X, Li K, Tang Z. Integration of multi-omics data reveals cis-regulatory variants that are associated with phenotypic differentiation of eastern from western pigs. GENETICS SELECTION EVOLUTION 2022; 54:62. [PMID: 36104777 PMCID: PMC9476355 DOI: 10.1186/s12711-022-00754-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 09/02/2022] [Indexed: 11/10/2022]
Abstract
Abstract
Background
The genetic mechanisms that underlie phenotypic differentiation in breeding animals have important implications in evolutionary biology and agriculture. However, the contribution of cis-regulatory variants to pig phenotypes is poorly understood. Therefore, our aim was to elucidate the molecular mechanisms by which non-coding variants cause phenotypic differences in pigs by combining evolutionary biology analyses and functional genomics.
Results
We obtained a high-resolution phased chromosome-scale reference genome with a contig N50 of 18.03 Mb for the Luchuan pig breed (a representative eastern breed) and profiled potential selective sweeps in eastern and western pigs by resequencing the genomes of 234 pigs. Multi-tissue transcriptome and chromatin accessibility analyses of these regions suggest that tissue-specific selection pressure is mediated by promoters and distal cis-regulatory elements. Promoter variants that are associated with increased expression of the lysozyme (LYZ) gene in the small intestine might enhance the immunity of the gastrointestinal tract and roughage tolerance in pigs. In skeletal muscle, an enhancer-modulating single-nucleotide polymorphism that is associated with up-regulation of the expression of the troponin C1, slow skeletal and cardiac type (TNNC1) gene might increase the proportion of slow muscle fibers and affect meat quality.
Conclusions
Our work sheds light on the molecular mechanisms by which non-coding variants shape phenotypic differences in pigs and provides valuable resources and novel perspectives to dissect the role of gene regulatory evolution in animal domestication and breeding.
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45
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A single introduction of wild rabbits triggered the biological invasion of Australia. Proc Natl Acad Sci U S A 2022; 119:e2122734119. [PMID: 35994668 PMCID: PMC9436340 DOI: 10.1073/pnas.2122734119] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Biological invasions are a major cause of environmental and economic disruption. While ecological factors are key determinants of their success, the role of genetics has been more challenging to demonstrate. The colonization of Australia by the European rabbit is one of the most iconic and devastating biological invasions in recorded history. Here, we show that despite numerous introductions over a 70-y period, this invasion was triggered by a single release of a few animals that spread thousands of kilometers across the continent. We found genetic support for historical accounts that these were English rabbits imported in 1859 by a settler named Thomas Austin and traced the origin of the invasive population back to his birthplace in England. We also find evidence of additional introductions that established local populations but have not spread geographically. Combining genomic and historical data we show that, contrary to the earlier introductions, which consisted mostly of domestic animals, the invasive rabbits had wild ancestry. In New Zealand and Tasmania, rabbits also became a pest several decades after being introduced. We argue that the common denominator of these invasions was the arrival of a new genotype that was better adapted to the natural environment. These findings demonstrate how the genetic composition of invasive individuals can determine the success of an introduction and provide a mechanism by which multiple introductions can be required for a biological invasion.
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46
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Trait Analysis in Domestic Rabbits (Oryctolagus cuniculus f. domesticus) Using SNP Markers from Genotyping-by-Sequencing Data. Animals (Basel) 2022; 12:ani12162052. [PMID: 36009642 PMCID: PMC9404428 DOI: 10.3390/ani12162052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/08/2022] [Accepted: 08/09/2022] [Indexed: 11/17/2022] Open
Abstract
Simple Summary Rabbit breeding is an important branch of agricultural animal breeding; their fur color and weight are desirable traits for artificial breeding. Polymorphism can provide potential molecular markers for studying rabbit traits and improve rabbit breeds with such markers in the future. In this study, single-nucleotide polymorphism markers in genotyping-by-sequencing data were used to analyze rabbit traits. In total, three genes were identified to be associated with fur color and four with weight. The results of this study provide a data base for the research and improvement of rabbit breeding program. Abstract The domestic rabbit (Oryctolagus cuniculus f. domesticus) is a very important variety in biomedical research and agricultural animal breeding. Due to the different geographical areas in which rabbit breeds originated, and the long history of domestication/artificial breeding, rabbits have experienced strong selection pressure, which has shaped many traits of most rabbit varieties, such as color and weight. An efficient genome-wide single-nucleotide polymorphism (SNP) detection strategy is genotyping-by-sequencing (GBS), which has been widely used in many organisms. This study attempted to explore bi-allelic SNPs associated with fur color and weight-related traits using GBS in five rabbit breeds. The data consisted of a total 831,035 SNPs in 150 individuals from Californian rabbits (CF), German Zika rabbits (ZK), Qixing rabbits (QX), Sichuan grey rabbits (SG), and Sichuan white rabbits (SW). In addition, these five breeds of rabbits were obviously independent populations, with high genetic differentiation among breeds and low genetic diversity within breeds. A total of 32,144 SNP sites were identified by selective sweep among the different varieties. The genes that carried SNP loci in these selected regions were related to important traits (fur color and weight) and signal pathways, such as the MAPK/ERK signaling pathway and the Hippo signaling pathway. In addition, genes related to fur color and weight were identified, such as ASIPs, MITFs and KITs, ADCY3s, YAPs, FASs, and ACSL5s, and they had more SNP sites. The research offers the foundation for further exploration of molecular genetic markers of SNPs that are related to traits.
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47
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Zhou Z, Jiang T, Zhu Y, Ling Z, Yang B, Huang L. A comparative investigation on H3K27ac enhancer activities in the brain and liver tissues between wild boars and domesticated pigs. Evol Appl 2022; 15:1281-1290. [PMID: 36051459 PMCID: PMC9423090 DOI: 10.1111/eva.13461] [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: 02/14/2022] [Revised: 06/28/2022] [Accepted: 07/20/2022] [Indexed: 11/29/2022] Open
Abstract
Dramatic phenotypic differences between domestic pigs and wild boars (Sus scrofa) provide opportunities to investigate molecular mechanisms underlying the formation of complex traits, including morphology, physiology and behaviour. Most studies comparing domestic pigs and wild boars have focused on variations in DNA sequences and mRNA expression, but not on epigenetic changes. Here, we present a genome-wide comparative study on H3K27ac enhancer activities and the corresponding mRNA profiling in the brain and liver tissues of adult Bama Xiang pigs (BMXs) and Chinese wild boars (CWBs). We identified a total of 1,29,487 potential regulatory elements, among which 11,241 H3K27ac peaks showed differential activity between CWBs and BMXs in at least one tissue. These peaks were overrepresented by binding motifs of FOXA1, JunB, ATF3 and BATF, and overlapped with differentially expressed genes that are involved in female mating behaviour, response to growth factors and hormones, and lipid metabolism. We also identified 4118 nonredundant super-enhancers from ChIP-Seq data on H3K27ac. Notably, we identified differentially active peaks located close to or within candidate genes, including TBX19, MSTN, AHR and P2RY1, which were identified in DNA sequence-based population differentiation studies. This study generates a valuable dataset on H3K27ac profiles of the brain and liver from domestic pigs and wild boars, which helps gain insights into the changes in enhancer activities from wild boars to domestic pigs.
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Affiliation(s)
- Zhimin Zhou
- State Key Laboratory of Swine Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
| | - Tao Jiang
- State Key Laboratory of Swine Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
| | - Yaling Zhu
- State Key Laboratory of Swine Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
| | - Ziqi Ling
- State Key Laboratory of Swine Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
| | - Bin Yang
- State Key Laboratory of Swine Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
| | - Lusheng Huang
- State Key Laboratory of Swine Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
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48
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Gompert Z, Feder JL, Nosil P. The short-term, genome-wide effects of indirect selection deserve study: A response to Charlesworth and Jensen (2022). Mol Ecol 2022; 31:4444-4450. [PMID: 35909250 DOI: 10.1111/mec.16614] [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: 01/31/2022] [Revised: 06/21/2022] [Accepted: 07/01/2022] [Indexed: 11/30/2022]
Abstract
We recently published a paper quantifying the genome-wide consequences of natural selection, including the effects of indirect selection due to the correlation of genetic regions (neutral or selected) with directly selected regions (Gompert et al., 2022). In their critique of our paper, Charlesworth and Jensen (2022) make two main points: (i) indirect selection is equivalent to hitchhiking and thus well documented (i.e., our results are not novel) and (ii) that we do not demonstrate the source of linkage disequilibrium (LD) between SNPs and the Mel-Stripe locus in the Timema cristinae experiment we analyse. As we discuss in detail below, neither of these are substantial criticisms of our work.
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Affiliation(s)
- Zachariah Gompert
- Department of Biology, Utah State University, Logan, Utah, USA.,Ecology Center, Utah State University, Logan, Utah, USA
| | - Jeffrey L Feder
- Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA
| | - Patrik Nosil
- CEFE, University Montpellier, CNRS, EPHE, IRD, University Paul Valéry Montpellier 3, Montpellier, France
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49
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Andersson L, Purugganan M. Molecular genetic variation of animals and plants under domestication. Proc Natl Acad Sci U S A 2022; 119:e2122150119. [PMID: 35858409 PMCID: PMC9335317 DOI: 10.1073/pnas.2122150119] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Domesticated plants and animals played crucial roles as models for evolutionary change by means of natural selection and for establishing the rules of inheritance, originally proposed by Charles Darwin and Gregor Mendel, respectively. Here, we review progress that has been made during the last 35 y in unraveling the molecular genetic variation underlying the stunning phenotypic diversity in crops and domesticated animals that inspired Mendel and Darwin. We notice that numerous domestication genes, crucial for the domestication process, have been identified in plants, whereas animal domestication appears to have a polygenic background with no obvious "domestication genes" involved. Although model organisms, such as Drosophila and Arabidopsis, have replaced domesticated species as models for basic research, the latter are still outstanding models for evolutionary research because phenotypic change in these species represents an evolutionary process over thousands of years. A consequence of this is that some alleles contributing to phenotypic diversity have evolved by accumulating multiple changes in the same gene. The continued molecular characterization of crops and farm animals with ever sharper tools is essential for future food security.
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Affiliation(s)
- Leif Andersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, SE-751 23 Uppsala, Sweden
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX 77843-4458
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, SE-75007 Uppsala, Sweden
| | - Michael Purugganan
- Center for Genomics and Systems Biology, New York University, New York, NY 10003
- Center for Genomics and Systems Biology, New York University Abu Dhabi, Abu Dhabi, 129188, United Arab Emirates
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50
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Wang X, Ran X, Niu X, Huang S, Li S, Wang J. Whole-genome sequence analysis reveals selection signatures for important economic traits in Xiang pigs. Sci Rep 2022; 12:11823. [PMID: 35821031 PMCID: PMC9276726 DOI: 10.1038/s41598-022-14686-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 06/10/2022] [Indexed: 11/30/2022] Open
Abstract
Xiang pig (XP) is one of the best-known indigenous pig breeds in China, which is characterized by its small body size, strong disease resistance, high adaptability, favorite meat quality, small litter sizes, and early sexual maturity. However, the genomic evidence that links these unique traits of XP is still poorly understood. To identify the genomic signatures of selection in XP, we performed whole-genome resequencing on 25 unrelated individual XPs. We obtained 876.70 Gb of raw data from the genomic libraries. The LD analysis showed that the lowest level of linkage disequilibrium was observed in Xiang pig. Comparative genomic analysis between XPs and other breeds including Tibetan, Meishan, Duroc and Landrace revealed 3062, 1228, 907 and 1519 selected regions, respectively. The genes identified in selected regions of XPs were associated with growth and development processes (IGF1R, PROP1, TBX19, STAC3, RLF, SELENOM, MSTN), immunity and disease resistance (ZCCHC2, SERPINB2, ADGRE5, CYP7B1, STAT6, IL2, CD80, RHBDD3, PIK3IP1), environmental adaptation (NR2E1, SERPINB8, SERPINB10, SLC26A7, MYO1A, SDR9C7, UVSSA, EXPH5, VEGFC, PDE1A), reproduction (CCNB2, TRPM6, EYA3, CYP7B1, LIMK2, RSPO1, ADAM32, SPAG16), meat quality traits (DECR1, EWSR1), and early sexual maturity (TAC3). Through the absolute allele frequency difference (ΔAF) analysis, we explored two population-specific missense mutations occurred in NR6A1 and LTBP2 genes, which well explained that the vertebrae numbers of Xiang pigs were less than that of the European pig breeds. Our results indicated that Xiang pigs were less affected by artificial selection than the European and Meishan pig breeds. The selected candidate genes were mainly involved in growth and development, disease resistance, reproduction, meat quality, and early sexual maturity. This study provided a list of functional candidate genes, as well as a number of genetic variants, which would provide insight into the molecular basis for the unique traits of Xiang pig.
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Affiliation(s)
- Xiying Wang
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China.,Tongren University, Tongren, 554300, China
| | - Xueqin Ran
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China.
| | - Xi Niu
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Shihui Huang
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Sheng Li
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Jiafu Wang
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China.
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