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Wei Y, Zhang T, Li Z, Hua Q, Yin L, Lei M, Zhao S, Gu S, Zhang X, He H, Lu X. Evolutionary divergence on the Qinghai-Tibet Plateau: How life-history traits shape the diversity of plateau zokor and pika populations. J Genet Genomics 2025:S1673-8527(25)00128-6. [PMID: 40334979 DOI: 10.1016/j.jgg.2025.04.019] [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: 01/05/2025] [Revised: 04/28/2025] [Accepted: 04/29/2025] [Indexed: 05/09/2025]
Abstract
Understanding how species diverge and adapt is fundamental to unraveling biodiversity. While environmental impacts on species evolution are well-documented, the roles of intrinsic life-history traits remain underexplored. The Qinghai-Tibet Plateau, with its harsh conditions and unique biodiversity, offers a natural laboratory for such investigations. Here, we examined two sympatric small mammals-the solitary, low-dispersal plateau zokor (Eospalax baileyi) and the social, high-dispersal plateau pika (Ochotona curzoniae)-to elucidate how life-history traits shape population structures and adaptive strategies. Through whole-genome sequencing and cardiac-blood phenotype analyses, we reveal striking differences in their evolutionary trajectories. Despite enduring similar environmental pressures, plateau zokor populations exhibit pronounced genetic subdivisions, high inbreeding, and distinct local adaptations. In contrast, plateau pika populations display genetic panmixia, widespread diversity, and adaptive uniformity. Demographic inference highlights plateau zokors experienced severe population bottlenecks and restricted gene flow during glacial periods, underscoring the impact of dispersal capacity on evolutionary outcomes. Our findings demonstrate that intrinsic biological traits, particularly dispersal ability, fundamentally influence genetic architecture, population connectivity, and local adaptation. This study not only provides empirical evidence of how life-history traits shape evolutionary dynamics but offers a framework for integrating intrinsic and extrinsic factors in understanding biodiversity formation.
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Affiliation(s)
- Yunyang Wei
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tao Zhang
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China.
| | - Zifeng Li
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qinyang Hua
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Liduo Yin
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Menglong Lei
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shilei Zhao
- Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Shanshan Gu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xin Zhang
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hao He
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xuemei Lu
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; Yunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China.
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Zhao S, Chi L, Chen H. CEGA: a method for inferring natural selection by comparative population genomic analysis across species. Genome Biol 2023; 24:219. [PMID: 37789379 PMCID: PMC10548728 DOI: 10.1186/s13059-023-03068-8] [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: 07/26/2022] [Accepted: 09/20/2023] [Indexed: 10/05/2023] Open
Abstract
We developed maximum likelihood method for detecting positive selection or balancing selection using multilocus or genomic polymorphism and divergence data from two species. The method is especially useful for investigating natural selection in noncoding regions. Simulations demonstrate that the method outperforms existing methods in detecting both positive and balancing selection. We apply the method to population genomic data from human and chimpanzee. The list of genes identified under selection in the noncoding regions is prominently enriched in pathways related to the brain and nervous system. Therefore, our method will serve as a useful tool for comparative population genomic analysis.
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Affiliation(s)
- Shilei Zhao
- CAS Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- China National Center for Bioinformation, Beijing, 100101, China
- School of Future Technology, College of Life Sciences and Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lianjiang Chi
- CAS Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- China National Center for Bioinformation, Beijing, 100101, China
| | - Hua Chen
- CAS Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
- China National Center for Bioinformation, Beijing, 100101, China.
- School of Future Technology, College of Life Sciences and Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100049, China.
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
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Zhang X, Fang B, Huang YF. Transcription factor binding sites are frequently under accelerated evolution in primates. Nat Commun 2023; 14:783. [PMID: 36774380 PMCID: PMC9922303 DOI: 10.1038/s41467-023-36421-3] [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: 04/30/2022] [Accepted: 01/31/2023] [Indexed: 02/13/2023] Open
Abstract
Recent comparative genomic studies have identified many human accelerated elements (HARs) with elevated substitution rates in the human lineage. However, it remains unknown to what extent transcription factor binding sites (TFBSs) are under accelerated evolution in humans and other primates. Here, we introduce two pooling-based phylogenetic methods with dramatically enhanced sensitivity to examine accelerated evolution in TFBSs. Using these new methods, we show that more than 6000 TFBSs annotated in the human genome have experienced accelerated evolution in Hominini, apes, and Old World monkeys. Although these TFBSs individually show relatively weak signals of accelerated evolution, they collectively are more abundant than HARs. Also, we show that accelerated evolution in Pol III binding sites may be driven by lineage-specific positive selection, whereas accelerated evolution in other TFBSs might be driven by nonadaptive evolutionary forces. Finally, the accelerated TFBSs are enriched around developmental genes, suggesting that accelerated evolution in TFBSs may drive the divergence of developmental processes between primates.
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Affiliation(s)
- Xinru Zhang
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA. .,Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, 16802, USA. .,Bioinformatics and Genomics Graduate Program, Pennsylvania State University, University Park, PA, 16802, USA.
| | - Bohao Fang
- Department of Organismic and Evolutionary Biology and the Museum of Comparative Zoology, Harvard University, Boston, MA, 02135, USA
| | - Yi-Fei Huang
- Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA. .,Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, 16802, USA.
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4
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Positive selection-driven fixation of a hominin-specific amino acid mutation related to dephosphorylation in IRF9. BMC Ecol Evol 2022; 22:132. [PMID: 36357830 PMCID: PMC9650800 DOI: 10.1186/s12862-022-02088-5] [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: 04/14/2022] [Accepted: 10/29/2022] [Indexed: 11/12/2022] Open
Abstract
The arms race between humans and pathogens drives the evolution of the human genome. It is thus expected that genes from the interferon-regulatory factors family (IRFs), a critical family for anti-viral immune response, should be undergoing episodes of positive selection. Herein, we tested this hypothesis and found multiple lines of evidence for positive selection on the amino acid site Val129 (NP_006075.3:p.Ser129Val) of human IRF9. Interestingly, the ancestral reconstruction and population distribution analyses revealed that the ancestral state (Ser129) is conserved among mammals, while the derived positively selected state (Val129) was fixed before the “out-of-Africa” event ~ 500,000 years ago. The motif analysis revealed that this young amino acid (Val129) may serve as a dephosphorylation site of IRF9. Structural parallelism between homologous genes further suggested the functional effects underlying the dephosphorylation that may affect the immune activity of IRF9. This study provides a model in which a strong positive Darwinian selection drives a recent fixation of a hominin-specific amino acid leading to molecular adaptation involving dephosphorylation in an immune-responsive gene.
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Wang X, Hu J, Song L, Rong E, Yang C, Chen X, Pu J, Sun H, Gao C, Burt DW, Liu J, Li N, Huang Y. Functional divergence of oligoadenylate synthetase 1 (OAS1) proteins in Tetrapods. SCIENCE CHINA. LIFE SCIENCES 2022; 65:1395-1412. [PMID: 34826092 DOI: 10.1007/s11427-021-2002-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Accepted: 08/25/2021] [Indexed: 06/13/2023]
Abstract
OASs play critical roles in immune response against virus infection by polymerizing ATP into 2-5As, which initiate the classical OAS/RNase L pathway and induce degradation of viral RNA. OAS members are functionally diverged in four known innate immune pathways (OAS/RNase L, OASL/IRF7, OASL/RIG-I, and OASL/cGAS), but how they functionally diverged is unclear. Here, we focus on evolutionary patterns and explore the link between evolutionary processes and functional divergence of Tetrapod OAS1. We show that Palaeognathae and Primate OAS1 genes are conserved in genomic and protein structures but differ in function. The former (i.e., ostrich) efficiently synthesized long 2-5A and activated RNase L, while the latter (i.e., human) synthesized short 2-5A and did not activate RNase L. We predicted and verified that two in-frame indels and one positively selected site in the active site pocket contributed to the functional divergence of Palaeognathae and Primate OAS1. Moreover, we discovered and validated that an in-frame indel in the C-terminus of Palaeognathae OAS1 affected the binding affinity of dsRNA and enzymatic activity, and contributed to the functional divergence of Palaeognathae OAS1 proteins. Our findings unravel the molecular mechanism for functional divergence and give insights into the emergence of novel functions in Tetrapod OAS1.
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Affiliation(s)
- Xiaoxue Wang
- State Key Laboratory for Agrobiotechnology, College of Biology Sciences, China Agricultural University, Beijing, 100193, China
| | - Jiaxiang Hu
- State Key Laboratory for Agrobiotechnology, College of Biology Sciences, China Agricultural University, Beijing, 100193, China
| | - Linfei Song
- State Key Laboratory for Agrobiotechnology, College of Biology Sciences, China Agricultural University, Beijing, 100193, China
| | - Enguang Rong
- State Key Laboratory for Agrobiotechnology, College of Biology Sciences, China Agricultural University, Beijing, 100193, China
| | - Chenghuai Yang
- China Institute of Veterinary Drug Control, Beijing, 100081, China
| | - Xiaoyun Chen
- China Institute of Veterinary Drug Control, Beijing, 100081, China
| | - Juan Pu
- Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, 100083, China
| | - Honglei Sun
- Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, 100083, China
| | - Chuze Gao
- State Key Laboratory for Agrobiotechnology, College of Biology Sciences, China Agricultural University, Beijing, 100193, China
| | - David W Burt
- University of Queensland, St. Lucia, Brisbane, QLD, 4072, Australia
| | - Jinhua Liu
- Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, 100083, China
| | - Ning Li
- State Key Laboratory for Agrobiotechnology, College of Biology Sciences, China Agricultural University, Beijing, 100193, China
| | - Yinhua Huang
- State Key Laboratory for Agrobiotechnology, College of Biology Sciences, China Agricultural University, Beijing, 100193, China.
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Yousaf A, Liu J, Ye S, Chen H. Current Progress in Evolutionary Comparative Genomics of Great Apes. Front Genet 2021; 12:657468. [PMID: 34456962 PMCID: PMC8385753 DOI: 10.3389/fgene.2021.657468] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 07/15/2021] [Indexed: 12/04/2022] Open
Abstract
The availability of high-quality genome sequences of great ape species provides unprecedented opportunities for genomic analyses. Herein, we reviewed the recent progress in evolutionary comparative genomic studies of the existing great ape species, including human, chimpanzee, bonobo, gorilla, and orangutan. We elaborate discovery on evolutionary history, natural selection, structural variations, and new genes of these species, which is informative for understanding the origin of human-specific phenotypes.
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Affiliation(s)
- Aisha Yousaf
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Junfeng Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China
| | - Sicheng Ye
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Hua Chen
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
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Aramburu O, Ceballos F, Casanova A, Le Moan A, Hemmer-Hansen J, Bekkevold D, Bouza C, Martínez P. Genomic Signatures After Five Generations of Intensive Selective Breeding: Runs of Homozygosity and Genetic Diversity in Representative Domestic and Wild Populations of Turbot ( Scophthalmus maximus). Front Genet 2020; 11:296. [PMID: 32346384 PMCID: PMC7169425 DOI: 10.3389/fgene.2020.00296] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 03/12/2020] [Indexed: 12/16/2022] Open
Abstract
Massive genotyping of single nucleotide polymorphisms (SNP) has opened opportunities for analyzing the way in which selection shapes genomes. Artificial or natural selection usually leaves genomic signatures associated with selective sweeps around the responsible locus. Strong selective sweeps are most often identified either by lower genetic diversity than the genomic average and/or islands of runs of homozygosity (ROHi). Here, we conducted an analysis of selective sweeps in turbot (Scophthalmus maximus) using two SNP datasets from a Northeastern Atlantic population (36 individuals) and a domestic broodstock (46 individuals). Twenty-six families (∼ 40 offspring per family) from this broodstock and three SNP datasets applying differing filtering criteria were used to adjust ROH calling parameters. The best-fitted genomic inbreeding estimate (FROH) was obtained by the sum of ROH longer than 1 Mb, called using a 21,615 SNP panel, a sliding window of 37 SNPs and one heterozygous SNP per window allowed. These parameters were used to obtain the ROHi distribution in the domestic and wild populations (49 and 0 ROHi, respectively). Regions with higher and lower genetic diversity within each population were obtained using sliding windows of 37 SNPs. Furthermore, those regions were mapped in the turbot genome against previously reported genetic markers associated with QTL (Quantitative Trait Loci) and outlier loci for domestic or natural selection to identify putative selective sweeps. Out of the 319 and 278 windows surpassing the suggestive pooled heterozygosity thresholds (ZHp) in the wild and domestic population, respectively, 78 and 54 were retained under more restrictive ZHp criteria. A total of 116 suggestive windows (representing 19 genomic regions) were linked to either QTL for production traits, or outliers for divergent or balancing selection. Twenty-four of them (representing 3 genomic regions) were retained under stricter ZHp thresholds. Eleven QTL/outlier markers were exclusively found in suggestive regions of the domestic broodstock, 7 in the wild population and one in both populations; one (broodstock) and two (wild) of those were found in significant regions retained under more restrictive ZHp criteria in the broodstock and the wild population, respectively. Genome mining and functional enrichment within regions associated with selective sweeps disclosed relevant genes and pathways related to aquaculture target traits, including growth and immune-related pathways, metabolism and response to hypoxia, which showcases how this genome atlas of genetic diversity can be a valuable resource to look for candidate genes related to natural or artificial selection in turbot populations.
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Affiliation(s)
- Oscar Aramburu
- Department of Zoology, Genetics and Physical Anthropology, Faculty of Veterinary, Universidade de Santiago de Compostela, Lugo, Spain.,Instituto de Acuicultura, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Francisco Ceballos
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Johannesburg, South Africa
| | - Adrián Casanova
- Department of Zoology, Genetics and Physical Anthropology, Faculty of Veterinary, Universidade de Santiago de Compostela, Lugo, Spain.,Instituto de Acuicultura, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Alan Le Moan
- National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | - Jakob Hemmer-Hansen
- National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | - Dorte Bekkevold
- National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | - Carmen Bouza
- Department of Zoology, Genetics and Physical Anthropology, Faculty of Veterinary, Universidade de Santiago de Compostela, Lugo, Spain.,Instituto de Acuicultura, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Paulino Martínez
- Department of Zoology, Genetics and Physical Anthropology, Faculty of Veterinary, Universidade de Santiago de Compostela, Lugo, Spain.,Instituto de Acuicultura, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
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