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Hu C, Liu G, Zhang Z, Pan Q, Zhang X, Liu W, Li Z, Li M, Zhu P, Ji T, Garber PA, Zhou X. Genetic linkage disequilibrium of deleterious mutations in threatened mammals. EMBO Rep 2024:10.1038/s44319-024-00307-2. [PMID: 39487369 DOI: 10.1038/s44319-024-00307-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 10/09/2024] [Accepted: 10/16/2024] [Indexed: 11/04/2024] Open
Abstract
The impact of negative selection against deleterious mutations in endangered species remains underexplored. Recent studies have measured mutation load by comparing the accumulation of deleterious mutations, however, this method is most effective when comparing within and between populations of phylogenetically closely related species. Here, we introduced new statistics, LDcor, and its standardized form nLDcor, which allows us to detect and compare global linkage disequilibrium of deleterious mutations across species using unphased genotypes. These statistics measure averaged pairwise standardized covariance and standardize mutation differences based on the standard deviation of alleles to reflect selection intensity. We then examined selection strength in the genomes of seven mammals. Tigers exhibited an over-dispersion of deleterious mutations, while gorillas, giant pandas, and golden snub-nosed monkeys displayed negative linkage disequilibrium. Furthermore, the distribution of deleterious mutations in threatened mammals did not reveal consistent trends. Our results indicate that these newly developed statistics could help us understand the genetic burden of threatened species.
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Affiliation(s)
- Chunyan Hu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Gaoming Liu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China
| | - Zhan Zhang
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Qi Pan
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Xiaoxiao Zhang
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Weiqiang Liu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Zihao Li
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Meng Li
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China
| | - Pingfen Zhu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China
| | - Ting Ji
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China
| | - Paul A Garber
- Department of Anthropology, Program in Ecology, Evolution, and Conservation Biology, University of Illinois, Urbana, IL, USA
- International Center of Boidiversity and Primate Conservation, Dali University, Dali, China
| | - Xuming Zhou
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China.
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2
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Dong S, Zhang B, Huang K, Ying M, Yan J, Niu F, Hu H, Dunn DW, Ren Y, Li B, Zhang P. Balancing selection shapes population differentiation of major histocompatibility complex genes in wild golden snub-nosed monkeys. Curr Zool 2024; 70:596-606. [PMID: 39463695 PMCID: PMC11502152 DOI: 10.1093/cz/zoad043] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 09/21/2023] [Indexed: 10/29/2024] Open
Abstract
Small and isolated populations face several intrinsic risks, such as genetic drift, inbreeding depression, and reduced gene flow. Thus, patterns of genetic diversity and differentiation have become an important focus of conservation genetics research. The golden snub-nosed monkey Rhinopithecus roxellana, an endangered species endemic to China, has experienced rapid reduction in population size and severe population fragmentation over the past few decades. We measured the patterns of genetic diversity and population differentiation using both neutral microsatellites and adaptive major histocompatibility complex (MHC) genes in 2 R. roxellana populations (DPY and GNG) distributed on the northern and southern slopes of the Qinling Mountains, respectively. Eight MHC-linked haplotypes formed by 5 DQA1 alleles, 5 DQB1 alleles, 5 DRB1 alleles, and 4 DRB2 alleles were detected in the 2 populations. The larger GNG population showed higher genetic variation for both MHC and microsatellites than the smaller DPY population, suggesting an effect of genetic drift on genetic variation. Genetic differentiation index (F ST) outlier analyses, principal coordinate analysis (PCoA), and inferred population genetic structure showed lower genetic differentiation in the MHC variations than microsatellites, suggesting that pathogen-mediated balancing selection, rather than local adaptation, homogenized the MHC genes of both populations. This study indicates that both balancing selection and genetic drift may shape genetic variation and differentiation in small and fragmented populations.
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Affiliation(s)
- Shixuan Dong
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi’an 710069, China
| | - Bingyi Zhang
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi’an 710069, China
| | - Kang Huang
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi’an 710069, China
| | - Meijing Ying
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi’an 710069, China
| | - Jibing Yan
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi’an 710069, China
| | - Fei Niu
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi’an 710069, China
| | - Hanyu Hu
- Education Department, Xi’an Gaoxin No. 5 High School, Xi’an 710404, China
| | - Derek W Dunn
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi’an 710069, China
| | - Yi Ren
- Shaanxi Key Laboratory for Animal Conservation, Shaanxi Institute of Zoology, Xi’an 710032, China
| | - Baoguo Li
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi’an 710069, China
| | - Pei Zhang
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi’an 710069, China
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3
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Steux C, Szpiech ZA. The Maintenance of Deleterious Variation in Wild Chinese Rhesus Macaques. Genome Biol Evol 2024; 16:evae115. [PMID: 38795368 PMCID: PMC11157460 DOI: 10.1093/gbe/evae115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 04/25/2024] [Accepted: 05/22/2024] [Indexed: 05/27/2024] Open
Abstract
Understanding how deleterious variation is shaped and maintained in natural populations is important in conservation and evolutionary biology, as decreased fitness caused by these deleterious mutations can potentially lead to an increase in extinction risk. It is known that demographic processes can influence these patterns. For example, population bottlenecks and inbreeding increase the probability of inheriting identical-by-descent haplotypes from a recent common ancestor, creating long tracts of homozygous genotypes called runs of homozygosity (ROH), which have been associated with an accumulation of mildly deleterious homozygotes. Counterintuitively, positive selection can also maintain deleterious variants in a population through genetic hitchhiking. Here, we analyze the whole genomes of 79 wild Chinese rhesus macaques across five subspecies and characterize patterns of deleterious variation with respect to ROH and signals of recent positive selection. We show that the fraction of homozygotes occurring in long ROH is significantly higher for deleterious homozygotes than tolerated ones, whereas this trend is not observed for short and medium ROH. This confirms that inbreeding, by generating these long tracts of homozygosity, is the main driver of the high burden of homozygous deleterious alleles in wild macaque populations. Furthermore, we show evidence that homozygous LOF variants are being purged. Next, we identify seven deleterious variants at high frequency in regions putatively under selection near genes involved with olfaction and other processes. Our results shed light on how evolutionary processes can shape the distribution of deleterious variation in wild nonhuman primates.
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Affiliation(s)
- Camille Steux
- Department of Biology, Pennsylvania State University, University Park, USA
- Centre de Recherche sur la Biodiversité et l’Environnement (CRBE), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3—Paul Sabatier (UT3), Toulouse, France
| | - Zachary A Szpiech
- Department of Biology, Pennsylvania State University, University Park, USA
- Institute for Computational and Data Sciences, Pennsylvania State University, University Park, USA
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Zhou Y, Tian J, Han M, Lu J. The phylogenetic relationship and demographic history of rhesus macaques ( Macaca mulatta) in subtropical and temperate regions, China. Ecol Evol 2024; 14:e11429. [PMID: 38770128 PMCID: PMC11103769 DOI: 10.1002/ece3.11429] [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: 11/22/2023] [Revised: 04/23/2024] [Accepted: 05/03/2024] [Indexed: 05/22/2024] Open
Abstract
Pleistocene climatic oscillations exerted significant influences on the genetic structure and demography of rhesus macaque (Macaca mulatta) in eastern China. However, the evolutionary history of rhesus macaques in subtropical and temperate China remained unclear and/or controversial. Herein, we analyzed the autosomes, mitochondrial genomes, and Y-chromosomes from 84 individuals of Chinese rhesus macaque. The results revealed that (1) all individuals were clustered into pan-west and pan-east genetic groups, which exhibited Shaanxi Province as the northernmost region of western dispersal route of rhesus macaques in China; (2) in subtropical and temperate China, rhesus macaques were divided into four lineages (TH, DB, HS, and QL), and their divergence times corresponded to the Penultimate Glaciation (300-130 kya) and Last Glaciation (70-10 kya), respectively; (3) the individuals from Mt. Taihangshan (TH) are closely related to individuals from Mt. Dabashan (DB) in the autosomal tree, rather than individuals from Mt. Huangshan (HS) as indicated by the mitogenome tree, which supports the hypothesis that the ancestral rhesus macaques radiated into Mt. Taihangshan from Mt. Huangshan via Mt. Dabashan; and (4) the demographic scenario of the four lineages showed the ancestral rhesus macaques bottleneck and expansion corresponding to the suitable habitat reduction and expansion, which confirmed they had experienced northward recolonization and southward retreat events from Mt. Huangshan area via Northern China Plain to Northernmost China along with Pleistocene glacial cycles. This study provides a new insight into understanding how Pleistocene glaciation has influenced faunal diversity in subtropical and temperate China, especially for those exhibiting differential patterns of sex dispersal.
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Affiliation(s)
- Yanyan Zhou
- School of Life SciencesZhengzhou UniversityZhengzhouChina
- Institute of Biodiversity and EcologyZhengzhou UniversityZhengzhouChina
| | - Jundong Tian
- School of Life SciencesZhengzhou UniversityZhengzhouChina
- Institute of Biodiversity and EcologyZhengzhou UniversityZhengzhouChina
| | - Mengya Han
- School of Life SciencesZhengzhou UniversityZhengzhouChina
- Institute of Biodiversity and EcologyZhengzhou UniversityZhengzhouChina
| | - Jiqi Lu
- School of Life SciencesZhengzhou UniversityZhengzhouChina
- Institute of Biodiversity and EcologyZhengzhou UniversityZhengzhouChina
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5
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Zhou Y, Tian J, Jiang H, Han M, Wang Y, Lu J. Phylogeography and demographic history of macaques, fascicularis species group, in East Asia: Inferred from multiple genomic markers. Mol Phylogenet Evol 2024; 194:108042. [PMID: 38401812 DOI: 10.1016/j.ympev.2024.108042] [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: 04/30/2023] [Revised: 02/06/2024] [Accepted: 02/18/2024] [Indexed: 02/26/2024]
Abstract
Climate changes at larger scales have influenced dispersal and range shifts of many taxa in East Asia. The fascicularis species group of macaques is composed of four species and is widely distributed in Southeast and East Asia. However, its phylogeography and demographic histories are currently poorly understood. Herein, we assembled autosomal, mitogenome, and Y-chromosome data for 106 individuals, and combined them with 174 mtDNA dloop haplotypes of this species group, with particular focus on the demographic histories and dispersal routes of Macaca fuscata, M. cyclopis, and M. mulatta. The results showed: (1) three monophyletic clades for M. fuscata, M. cyclopis, and M. mulatta based on the multiple genomics analyses; (2) the disparate demographic trajectories of the three species after their split ∼1.0 Ma revealed that M. cyclopis and M. fuscata were derived from an ancestral M. mulatta population; (3) the speciation time of M. cyclopis was later than that of M. fuscata, and their divergence time occurred at the beginning of "Ryukyu Coral Sea Stage" (1.0-0.2 Ma) when the East China Sea land bridge was completely submerged by the sea level rose; and (4) the three parallel rivers (Nujiang, Lancangjiang, and Jinshajiang) of Southwestern China divided M. mulatta into Indian and Chinese genetic populations ∼200 kya. These results shed light on understanding not only the evolutionary history of the fascicularis species group but also the formation mechanism of faunal diversity in East Asia during the Pleistocene.
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Affiliation(s)
- Yanyan Zhou
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Institute of Biodiversity and Ecology, Zhengzhou University, Zhengzhou 450001, China
| | - Jundong Tian
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Institute of Biodiversity and Ecology, Zhengzhou University, Zhengzhou 450001, China
| | - Haijun Jiang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Institute of Biodiversity and Ecology, Zhengzhou University, Zhengzhou 450001, China
| | - Mengya Han
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Institute of Biodiversity and Ecology, Zhengzhou University, Zhengzhou 450001, China
| | - Yuwei Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Institute of Biodiversity and Ecology, Zhengzhou University, Zhengzhou 450001, China
| | - Jiqi Lu
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Institute of Biodiversity and Ecology, Zhengzhou University, Zhengzhou 450001, China.
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6
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Ding W, Li X, Zhang J, Ji M, Zhang M, Zhong X, Cao Y, Liu X, Li C, Xiao C, Wang J, Li T, Yu Q, Mo F, Zhang B, Qi J, Yang JC, Qi J, Tian L, Xu X, Peng Q, Zhou WZ, Liu Z, Fu A, Zhang X, Zhang JJ, Sun Y, Hu B, An NA, Zhang L, Li CY. Adaptive functions of structural variants in human brain development. SCIENCE ADVANCES 2024; 10:eadl4600. [PMID: 38579006 DOI: 10.1126/sciadv.adl4600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 03/01/2024] [Indexed: 04/07/2024]
Abstract
Quantifying the structural variants (SVs) in nonhuman primates could provide a niche to clarify the genetic backgrounds underlying human-specific traits, but such resource is largely lacking. Here, we report an accurate SV map in a population of 562 rhesus macaques, verified by in-house benchmarks of eight macaque genomes with long-read sequencing and another one with genome assembly. This map indicates stronger selective constrains on inversions at regulatory regions, suggesting a strategy for prioritizing them with the most important functions. Accordingly, we identified 75 human-specific inversions and prioritized them. The top-ranked inversions have substantially shaped the human transcriptome, through their dual effects of reconfiguring the ancestral genomic architecture and introducing regional mutation hotspots at the inverted regions. As a proof of concept, we linked APCDD1, located on one of these inversions and down-regulated specifically in humans, to neuronal maturation and cognitive ability. We thus highlight inversions in shaping the human uniqueness in brain development.
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Affiliation(s)
- Wanqiu Ding
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Xiangshang Li
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Jie Zhang
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Mingjun Ji
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Mengling Zhang
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
| | - Xiaoming Zhong
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
- Center of Excellence for Leukemia Studies, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105, USA
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China
| | - Xiaoge Liu
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Chunqiong Li
- Chinese Institute for Brain Research, Beijing, China
| | - Chunfu Xiao
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Jiaxin Wang
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Ting Li
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Qing Yu
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Fan Mo
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Boya Zhang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jianhuan Qi
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jie-Chun Yang
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Juntian Qi
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Lu Tian
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Xinwei Xu
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Qi Peng
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Wei-Zhen Zhou
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhijin Liu
- College of Life Sciences, Capital Normal University, Beijing, China
| | - Aisi Fu
- Wuhan Dgensee Clinical Laboratory, Wuhan, China
| | - Xiuqin Zhang
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Jian-Jun Zhang
- Shanxi Key Laboratory of Chinese Medicine Encephalopathy, National International Joint Research Center for Molecular Chinese Medicine, Shanxi University of Chinese Medicine, Jinzhong, China
| | - Yujie Sun
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
| | - Baoyang Hu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Ni A An
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
- National Biomedical Imaging Center, College of Future Technology, Peking University, Beijing, China
| | - Li Zhang
- Chinese Institute for Brain Research, Beijing, China
| | - Chuan-Yun Li
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
- National Biomedical Imaging Center, College of Future Technology, Peking University, Beijing, China
- Southwest United Graduate School, Kunming 650092, China
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Zhou Y, Liu C, Tian J, Shao Q, Lu J. DNA metabarcoding reveals the seasonal variation of dietary composition of Taihangshan macaque ( Macaca mulatta tcheliensis), Jiyuan, north China. Ecol Evol 2024; 14:e11256. [PMID: 38646002 PMCID: PMC11027012 DOI: 10.1002/ece3.11256] [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: 08/21/2023] [Revised: 03/21/2024] [Accepted: 03/27/2024] [Indexed: 04/23/2024] Open
Abstract
Dietary analysis in wildlife is fundamental for understanding their flexible response to seasonal changes and developing effective conservation management measures. Taihangshan macaque (Macaca mulatta tcheliensis) is the northernmost population of rhesus macaque, currently only distributed in the southern Mt. Taihangshan area. This area belongs to a semi-arid region resulting in limited plant food availability for Taihangshan macaques, with seasonal variation. Herein, we used a chloroplast trnL DNA metabarcoding approach to identify the plant diet diversity and composition from 100 fecal samples of Taihangshan macaque in four seasons (spring, summer, autumn, and winter) from 2020 to 2021. The results revealed that (1) a total of 48 distinct families, 88 genera, and 52 species within the 105 food items that were consumed by Taihangshan macaques throughout the year; (2) the diversity of food items exhibited significant differences across the four seasons; (3) Rosaceae, Rhamnaceae, Fagaceae, and Poaceae are the preferential food items for Taihangshan macaques and have different relative abundances, fluctuating with seasonal variation. DNA metabarcoding can expand our understanding of the repertoire of food items consumed by Taihangshan macaques by detecting some consumed food items in this population that were not yet discovered using traditional methods. Therefore, the integrative results from traditional methods and DNA metabarcoding can provide a fundamental understanding of dietary composition to guide the conservation management of Taihangshan macaques.
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Affiliation(s)
- Yanyan Zhou
- School of Life SciencesZhengzhou UniversityZhengzhouChina
- Institute of Biodiversity and EcologyZhengzhou UniversityZhengzhouChina
| | - Chunbo Liu
- School of Life SciencesZhengzhou UniversityZhengzhouChina
- Institute of Biodiversity and EcologyZhengzhou UniversityZhengzhouChina
| | - Jundong Tian
- School of Life SciencesZhengzhou UniversityZhengzhouChina
- Institute of Biodiversity and EcologyZhengzhou UniversityZhengzhouChina
| | - Qi Shao
- School of Life SciencesZhengzhou UniversityZhengzhouChina
- Institute of Biodiversity and EcologyZhengzhou UniversityZhengzhouChina
| | - Jiqi Lu
- School of Life SciencesZhengzhou UniversityZhengzhouChina
- Institute of Biodiversity and EcologyZhengzhou UniversityZhengzhouChina
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8
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Wu R, Qi J, Li W, Wang L, Shen Y, Liu J, Teng Y, Roos C, Li M. Landscape genomics analysis provides insights into future climate change-driven risk in rhesus macaque. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 899:165746. [PMID: 37495138 DOI: 10.1016/j.scitotenv.2023.165746] [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: 02/27/2023] [Revised: 07/01/2023] [Accepted: 07/21/2023] [Indexed: 07/28/2023]
Abstract
Climate change significantly affects the suitability of wildlife habitats. Thus, understanding how animals adapt ecologically and genetically to climate change is important for targeted species protection. Rhesus macaques (Macaca mulatta) are widely distributed and multi-climatically adapted primates. This study explored how rhesus macaques adapt to climate change by integrating ecological and genetic methods and applying species distribution models (SDMs) and a gradient forest (GF) model. The findings suggested that temperature seasonality primarily affects habitat suitability and indicated that climate change will have a dramatic impact on macaque populations in the future. We also applied genotype-environment association (GEA) analyses and selection signature analyses to identify genes associated with climate change and provide possible explanations for the adaptation of rhesus macaques to climatic environments. The population genomics analyses suggested that the Taihang population has the highest genomic vulnerability with inbreeding and low heterozygosity. Combined with the higher ecological vulnerability, additional conservation strategies are required for this population under higher risk of climate change. Our work measured the impact of climate change and enabled the identification of populations that exhibit high vulnerability to severe climate change. Such information is useful for selecting populations of rhesus macaques as subject of long-term monitoring or evolutionary rescue under future climate change.
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Affiliation(s)
- Ruifeng Wu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiwei Qi
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Wenbo Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Ling Wang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ying Shen
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiawen Liu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yang Teng
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Christian Roos
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Kellnerweg 4, 37077 Göttingen, Germany
| | - Ming Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.
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9
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Tan X, Qi J, Liu Z, Fan P, Liu G, Zhang L, Shen Y, Li J, Roos C, Zhou X, Li M. Phylogenomics Reveals High Levels of Incomplete Lineage Sorting at the Ancestral Nodes of the Macaque Radiation. Mol Biol Evol 2023; 40:msad229. [PMID: 37823401 PMCID: PMC10638670 DOI: 10.1093/molbev/msad229] [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: 05/23/2023] [Revised: 09/06/2023] [Accepted: 10/08/2023] [Indexed: 10/13/2023] Open
Abstract
The genus Macaca includes 23 species assigned into 4 to 7 groups. It exhibits the largest geographic range and represents the most successful example of adaptive radiation of nonhuman primates. However, intrageneric phylogenetic relationships among species remain controversial and have not been resolved so far. In this study, we conducted a phylogenomic analysis on 16 newly generated and 8 published macaque genomes. We found strong evidence supporting the division of this genus into 7 species groups. Incomplete lineage sorting (ILS) was the primary factor contributing to the discordance observed among gene trees; however, we also found evidence of hybridization events, specifically between the ancestral arctoides/sinica and silenus/nigra lineages that resulted in the hybrid formation of the fascicularis/mulatta group. Combined with fossil data, our phylogenomic data were used to establish a scenario for macaque radiation. These findings provide insights into ILS and potential ancient introgression events that were involved in the radiation of macaques, which will lead to a better understanding of the rapid speciation occurring in nonhuman primates.
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Affiliation(s)
- Xinxin Tan
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Geneplus-Beijing Institute, Beijing 102206, China
| | - Jiwei Qi
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhijin Liu
- College of Life Sciences, Capital Normal University, Beijing 100049, China
| | - Pengfei Fan
- School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| | - Gaoming Liu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Liye Zhang
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Göttingen 37077, Germany
| | - Ying Shen
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jing Li
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610064, China
| | - Christian Roos
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Göttingen 37077, Germany
- Gene Bank of Primates, German Primate Center, Leibniz Institute for Primate Research, Göttingen 37077, Germany
| | - Xuming Zhou
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Ming Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
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10
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Bailey N, Ruiz C, Tosi A, Stevison L. Genomic analysis of the rhesus macaque ( Macaca mulatta) and the cynomolgus macaque ( Macaca fascicularis) uncover polygenic signatures of reinforcement speciation. Ecol Evol 2023; 13:e10571. [PMID: 37849934 PMCID: PMC10577069 DOI: 10.1002/ece3.10571] [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: 06/21/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 10/19/2023] Open
Abstract
Speciation can involve phases of divergent adaptation in allopatry and ecological/reproductive character displacement in sympatry or parapatry. Reproductive character displacement can result as a means of preventing hybridization, a process known as reinforcement speciation. In this study, we use whole-genome sequencing (WGS) of two closely related primate species that have experienced introgression in their history, the rhesus (Macaca mulatta) and cynomolgus (M. fascicularis) macaques, to identify genes exhibiting reproductive character displacement and other patterns consistent with reinforcement speciation. Using windowed scans of various population genetic statistics to identify signatures of reinforcement, we find 184 candidate genes associated with a variety of functions, including an overrepresentation of multiple neurological functions and several genes involved in sexual development and gametogenesis. These results are consistent with a variety of genes acting in a reinforcement process between these species. We also find signatures of introgression of the Y-chromosome that confirm previous studies suggesting male-driven introgression of M. mulatta into M. fascicularis populations. This study uses WGS to find evidence of the process of reinforcement in primates that have medical and conservation relevance.
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Affiliation(s)
- Nick Bailey
- Department of Biological SciencesAuburn UniversityAuburnAlabamaUSA
| | - Cody Ruiz
- Department of AnthropologyKent State UniversityKentOhioUSA
| | - Anthony Tosi
- Department of AnthropologyKent State UniversityKentOhioUSA
| | - Laurie Stevison
- Department of Biological SciencesAuburn UniversityAuburnAlabamaUSA
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11
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Ren Y, Jia T, Zhang H, Zhu W, Wang Z. Population genomics provides insights into the evolution and adaptation of tree shrews (Tupaia belangeri) in China. Integr Zool 2023; 18:45-62. [PMID: 34936212 DOI: 10.1111/1749-4877.12616] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Physiological adaptation of tree shrews (Tupaia belangeri) to changing environmental temperature has been reported in detail. However, the T. belangeri origin (mainland or island), population history, and adaptation to historical climate change remain largely unknown or controversial. Here, for the first time, we sequenced the simplified genome of 134 T. belangeri individuals from 12 populations in China and further resequenced one individual from each population. Using population genomic approaches, we first observed considerable genetic variation in T. belangeri. Moreover, T. belangeri populations formed obvious genetic structure and reflected different demographic histories; they generally exhibited high genetic diversity, although the isolated populations had relatively low genetic diversity. The results presented in this study indicate that T. b. modesta and T. b. tonquinia were separated recently and with a similar population dynamics. Second, physical barriers rather than distance were the driving factors of divergence, and environmental heterogeneity may play an important role in genetic differentiation in T. belangeri. Moreover, our analyses highlight the role of historical global climates in the T. belangeri population dynamics and indicate that the decrease of the T. belangeri population size may be due to the low temperature. Finally, we identified the olfaction-associated adaptive genes between different altitude populations and found that olfactory-related genes of high-altitude populations were selectively eliminated. Our study provides demographic history knowledge of T. belangeri; their adaption history offers new insights into their evolution and adaptation, and provides valuable baseline information for conservation measures.
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Affiliation(s)
- Yue Ren
- Key Laboratory of Ecological Adaptive Evolution and Conservation on Animals-plants in Southwest Mountain Ecosystem of Yunnan Province Higher Institutes College, School of Life Sciences, Yunnan Normal University, Engineering Research Center of Sustainable Development and Utilization of Biomass Energy Ministry of Education, Kunming, China.,School of Energy and Environmental Science, Yunnan Normal University, Kunming, China
| | - Ting Jia
- Yunnan College of Business Management, Kunming, China
| | - Hao Zhang
- Key Laboratory of Ecological Adaptive Evolution and Conservation on Animals-plants in Southwest Mountain Ecosystem of Yunnan Province Higher Institutes College, School of Life Sciences, Yunnan Normal University, Engineering Research Center of Sustainable Development and Utilization of Biomass Energy Ministry of Education, Kunming, China
| | - Wanlong Zhu
- Key Laboratory of Ecological Adaptive Evolution and Conservation on Animals-plants in Southwest Mountain Ecosystem of Yunnan Province Higher Institutes College, School of Life Sciences, Yunnan Normal University, Engineering Research Center of Sustainable Development and Utilization of Biomass Energy Ministry of Education, Kunming, China
| | - Zhengkun Wang
- Key Laboratory of Ecological Adaptive Evolution and Conservation on Animals-plants in Southwest Mountain Ecosystem of Yunnan Province Higher Institutes College, School of Life Sciences, Yunnan Normal University, Engineering Research Center of Sustainable Development and Utilization of Biomass Energy Ministry of Education, Kunming, China
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12
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Cui ZW, Zhang Y, Yan JB, Zhang YF, Dong YL, Ren CR, Song HJ, Shao Q, Lu JQ, Raubenheimer D. What does it mean to be a macronutritional generalist? A five-year case study in wild rhesus macaques ( Macaca mulatta). Zool Res 2022; 43:935-939. [PMID: 36146917 PMCID: PMC9700496 DOI: 10.24272/j.issn.2095-8137.2022.066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Affiliation(s)
- Zhen-Wei Cui
- Centre for Nutritional Ecology, Centre for Sport Nutrition and Health, School of Physical Education (main campus), Zhengzhou University, Zhengzhou, Henan 450001, China
- Institute of Biodiversity and Ecology, School of Life Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Ying Zhang
- Centre for Nutritional Ecology, Centre for Sport Nutrition and Health, School of Physical Education (main campus), Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Jia-Bao Yan
- Centre for Nutritional Ecology, Centre for Sport Nutrition and Health, School of Physical Education (main campus), Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Yi-Feng Zhang
- Institute of Biodiversity and Ecology, School of Life Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Yun-Long Dong
- Centre for Nutritional Ecology, Centre for Sport Nutrition and Health, School of Physical Education (main campus), Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Cui-Ru Ren
- Centre for Nutritional Ecology, Centre for Sport Nutrition and Health, School of Physical Education (main campus), Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Hong-Jie Song
- Centre for Nutritional Ecology, Centre for Sport Nutrition and Health, School of Physical Education (main campus), Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Qi Shao
- Institute of Biodiversity and Ecology, School of Life Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Ji-Qi Lu
- Institute of Biodiversity and Ecology, School of Life Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China. E-mail:
| | - David Raubenheimer
- Centre for Nutritional Ecology, Centre for Sport Nutrition and Health, School of Physical Education (main campus), Zhengzhou University, Zhengzhou, Henan 450001, China
- Charles Perkins Centre | School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales 2006, Australia
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13
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Kang Y, Dai S, Zeng Y, Wang F, Yang P, Yang Z, Pu Y, Li Z, Chen X, Tian B, Si W, Ji W, Niu Y. Cloning and base editing of GFP transgenic rhesus monkey and off-target analysis. SCIENCE ADVANCES 2022; 8:eabo3123. [PMID: 35867792 PMCID: PMC9307242 DOI: 10.1126/sciadv.abo3123] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 06/09/2022] [Indexed: 06/15/2023]
Abstract
We report the cloning of a 12-year-old transgenic green fluorescent protein (GFP) monkey by somatic cell nuclear transfer (SCNT) and base editing of the embryos, accompanied with safety evaluation of adenine base editors (ABEs). We first show the ability of ABEmax to silence GFP through A-to-G editing of the GFP sequence in 293T cells. Subsequently, using donor cells from a monkey expressing GFP, we have successfully generated 207 ABEmax-edited (SCNT-ABE) and 87 wild-type (SCNT) embryos for embryo transfer, genotyping, and genome and transcriptome analysis. SCNT-ABE and SCNT embryos are compared for off-target analysis without the interference of genetic variants using a new method named as OA-SCNT. ABEmax does not induce obvious off-target DNA mutations but induces widespread off-target RNA mutations, 35% of which are exonic, in edited monkey embryos. These results provide important references for clinical application of ABE.
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Affiliation(s)
- Yu Kang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
| | - Shaoxing Dai
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
| | - Yuqiang Zeng
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
| | - Fang Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
| | - Pengpeng Yang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
| | - Zhaohui Yang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
| | - Youwei Pu
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
| | - Zifan Li
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
| | - Xinglong Chen
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
| | - Baohong Tian
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
| | - Wei Si
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
| | - Weizhi Ji
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
| | - Yuyu Niu
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan 650500, China
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14
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Cooper EB, Brent LJN, Snyder-Mackler N, Singh M, Sengupta A, Khatiwada S, Malaivijitnond S, Qi Hai Z, Higham JP. The natural history of model organisms: the rhesus macaque as a success story of the Anthropocene. eLife 2022; 11:78169. [PMID: 35801697 PMCID: PMC9345599 DOI: 10.7554/elife.78169] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 07/07/2022] [Indexed: 11/25/2022] Open
Abstract
Of all the non-human primate species studied by researchers, the rhesus macaque (Macaca mulatta) is likely the most widely used across biological disciplines. Rhesus macaques have thrived during the Anthropocene and now have the largest natural range of any non-human primate. They are highly social, exhibit marked genetic diversity, and display remarkable niche flexibility (which allows them to live in a range of habitats and survive on a variety of diets). These characteristics mean that rhesus macaques are well-suited for understanding the links between sociality, health and fitness, and also for investigating intra-specific variation, adaptation and other topics in evolutionary ecology.
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Affiliation(s)
- Eve B Cooper
- Department of Anthropology, New York University, New York, United States
| | | | | | - Mewa Singh
- Biopsychology Laboratory, University of Mysore, Mysuru, India
| | | | - Sunil Khatiwada
- Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, Garbatka, Poland
| | | | - Zhou Qi Hai
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection, Guangxi Normal University, Guilin, China
| | - James P Higham
- Department of Anthropology, New York University, New York, United States
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15
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Geometric morphology and population genomics provide insights into the adaptive evolution of Apis cerana in Changbai Mountain. BMC Genomics 2022; 23:64. [PMID: 35045823 PMCID: PMC8772121 DOI: 10.1186/s12864-022-08298-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 01/07/2022] [Indexed: 01/27/2023] Open
Abstract
Abstract
Background
Exploration of adaptive evolution of organisms in response to environmental change can help to understand the evolutionary history of species and the underlying mechanisms of adaptation to local environments, thus guiding future conservation programmes. Before the introduction of Apis mellifera in China, eastern honey bees (Apis cerana) were the only species used for beekeeping in this region. In the mountains of Changbai, populations of A. cerana are considered a distinct ecotype of the species which formed through the distinct selective pressures in this area over time.
Result
We performed a measure of 300 wing specimens of eastern honey bees and obtained the geometric morphological variation in the wing of A. cerana in Changbai Mountain. A total of 3,859,573 high-quality SNP loci were yielded via the whole-genome resequencing of 130 individuals in 5 geographic regions.
Conclusion
Corresponding geometric morphology and population genomics confirmed the particularity of the A. cerana in Changbai Mountain. Genetic differentiation at the subspecies level exists between populations in Changbai Mountain and remaining geographic regions, and a significant reduction in the effective population size and an excessive degree of inbreeding may be responsible for a substantial loss of population genetic diversity. Candidate genes potentially associated with cold environmental adaptations in populations under natural selection were identified, which may represent local adaptations in populations. Our study provided insights into the evolutionary history and adaptation of A. cerana in Changbai Mountain, as well as its conservation.
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16
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Genomic resources for rhesus macaques (Macaca mulatta). Mamm Genome 2022; 33:91-99. [PMID: 34999909 PMCID: PMC8742695 DOI: 10.1007/s00335-021-09922-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 09/22/2021] [Indexed: 11/10/2022]
Abstract
Rhesus macaques (Macaca mulatta) are among the most extensively studied of nonhuman primates. This species has been the subject of many investigations concerning basic primate biology and behavior, including studies of social organization, developmental psychology, physiology, endocrinology, and neurodevelopment. Rhesus macaques are also critically important as a nonhuman primate model of human health and disease, including use in studies of infectious diseases, metabolic diseases, aging, and drug or alcohol abuse. Current research addressing fundamental biological and/or applied biomedical questions benefits from various genetic and genomic analyses. As a result, the genome of rhesus macaques has been the subject of more study than most nonhuman primates. This paper briefly discusses a number of information resources that can provide interested researchers with access to genetic and genomic data describing the content of the rhesus macaque genome, available information regarding genetic variation within the species, results from studies of gene expression, and other aspects of genomic analysis. Specific online databases are discussed, including the US National Center for Biotechnology Information, the University of California Santa Cruz genome browser, Ensembl genome browser, the Macaque Genotype and Phenotype database (mGAP), Rhesusbase, and others.
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17
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Srikulnath K, Ahmad SF, Panthum T, Malaivijitnond S. Importance of Thai macaque bioresources for biological research and human health. J Med Primatol 2021; 51:62-72. [PMID: 34806191 DOI: 10.1111/jmp.12555] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 11/09/2021] [Accepted: 11/09/2021] [Indexed: 01/25/2023]
Abstract
During the past century, macaque bioresources have provided remarkable scientific and biomedical discoveries related to the understanding of human physiology, neuroanatomy, reproduction, development, cognition, and pathology. Considerable progress has been made, and an urgent need has arisen to develop infrastructure and viable settings to meet the current global demand in research models during the so-called new normal after COVID-19 era. This review highlights the critical need for macaque bioresources and proposes the establishment of a designated primate research center to integrate research in primate laboratories for the rescue and rehabilitation of wild macaques. Key areas where macaque models have been and continue to be essential for advancing fundamental knowledge in biomedical and biological research are outlined. Detailed genetic studies on macaque bioresources of Thai origin can further facilitate the rapid pace of vaccine discovery.
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Affiliation(s)
- Kornsorn Srikulnath
- National Primate Research Center of Thailand-Chulalongkorn University, Saraburi, Thailand.,Animal Genomics and Bioresource Research Center (AGB Research Center), Faculty of Science, Kasetsart University, Bangkok, Thailand.,Laboratory of Animal Cytogenetics and Comparative Genomics (ACCG), Department of Genetics, Faculty of Science, Kasetsart University, Bangkok, Thailand
| | - Syed Farhan Ahmad
- Animal Genomics and Bioresource Research Center (AGB Research Center), Faculty of Science, Kasetsart University, Bangkok, Thailand.,Laboratory of Animal Cytogenetics and Comparative Genomics (ACCG), Department of Genetics, Faculty of Science, Kasetsart University, Bangkok, Thailand
| | - Thitipong Panthum
- Animal Genomics and Bioresource Research Center (AGB Research Center), Faculty of Science, Kasetsart University, Bangkok, Thailand.,Laboratory of Animal Cytogenetics and Comparative Genomics (ACCG), Department of Genetics, Faculty of Science, Kasetsart University, Bangkok, Thailand
| | - Suchinda Malaivijitnond
- National Primate Research Center of Thailand-Chulalongkorn University, Saraburi, Thailand.,Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
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18
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Sun Z, Orozco-terWengel P, Chen G, Sun R, Sun L, Wang H, Shi W, Zhang B. Spatial dynamics of Chinese Muntjac related to past and future climate fluctuations. Curr Zool 2021; 67:361-370. [PMID: 34616935 PMCID: PMC8489110 DOI: 10.1093/cz/zoaa080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 12/16/2020] [Indexed: 11/23/2022] Open
Abstract
Climate fluctuations in the past and in the future are likely to result in population expansions, shifts, or the contraction of the ecological niche of many species, and potentially leading to the changes in their geographical distributions. Prediction of suitable habitats has been developed as a useful tool for the assessment of habitat suitability and resource conservation to protect wildlife. Here, we model the ancestral demographic history of the extant modern Chinese Muntjac Muntiacus reevesi populations using approximate Bayesian computation (ABC) and used the maximum entropy model to simulate the past and predict the future spatial dynamics of the species under climate oscillations. Our results indicated that the suitable habitats for the M. reevesi shifted to the Southeast and contracted during the Last Glacial Maximum, whereas they covered a broader and more northern position in the Middle Holocene. The ABC analyses revealed that the modern M. reevesi populations diverged in the Middle Holocene coinciding with the significant contraction of the highly suitable habitat areas. Furthermore, our predictions suggest that the potentially suitable environment distribution for the species will expand under all future climate scenarios. These results indicated that the M. reevesi diverged in the recent time after the glacial period and simultaneously as its habitat’s expanded in the Middle Holocene. Furthermore, the past and future climate fluctuation triggered the change of Chinese muntjac spatial distribution, which has great influence on the Chinese muntjac’s population demographic history.
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Affiliation(s)
- Zhonglou Sun
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | | | - Guotao Chen
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Ruolei Sun
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Lu Sun
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
| | - Hui Wang
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Wenbo Shi
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Baowei Zhang
- School of Life Sciences, Anhui University, Hefei, 230601, China
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19
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Song Y, Jiang C, Li KH, Li J, Qiu H, Price M, Fan ZX, Li J. Genome-wide analysis reveals signatures of complex introgressive gene flow in macaques (genus Macaca). Zool Res 2021; 42:433-449. [PMID: 34114757 PMCID: PMC8317189 DOI: 10.24272/j.issn.2095-8137.2021.038] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The genus Macaca serves as an ideal research model for speciation and introgressive gene flow due to its short period of diversification (about five million years ago) and rapid radiation of constituent species. To understand evolutionary gene flow in macaques, we sequenced four whole genomes (two M. arctoides and two M. thibetana) and combined them with publicly available macaque genome data for genome-wide analyses. We analyzed 14 individuals from nine Macaca species covering all Asian macaque species groups and detected extensive gene flow signals, with the strongest signals between the fascicularis and silenus species groups. Notably, we detected bidirectional gene flow between M. fascicularis and M. nemestrina. The estimated proportion of the genome inherited via gene flow between the two species was 6.19%. However, the introgression signals found among studied island species, such as Sulawesi macaques and M. fuscata, and other species were largely attributed to the genomic similarity of closely related species or ancestral introgression. Furthermore, gene flow signals varied in individuals of the same species (M. arctoides, M. fascicularis, M. mulatta, M. nemestrina and M. thibetana), suggesting very recent gene flow after the populations split. Pairwise sequentially Markovian coalescence (PSMC) analysis showed all macaques experienced a bottleneck five million years ago, after which different species exhibited different fluctuations in demographic history trajectories, implying they have experienced complicated environmental variation and climate change. These results should help improve our understanding of the complicated evolutionary history of macaques, particularly introgressive gene flow.
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Affiliation(s)
- Yang Song
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Cong Jiang
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Kun-Hua Li
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Jing Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan 611130, China
| | - Hong Qiu
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Megan Price
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Zhen-Xin Fan
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China.,Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Jing Li
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China.,Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China. E-mail:
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20
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Szpiech ZA, Novak TE, Bailey NP, Stevison LS. Application of a novel haplotype-based scan for local adaptation to study high-altitude adaptation in rhesus macaques. Evol Lett 2021; 5:408-421. [PMID: 34367665 PMCID: PMC8327953 DOI: 10.1002/evl3.232] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 02/24/2021] [Accepted: 05/04/2021] [Indexed: 12/17/2022] Open
Abstract
When natural populations split and migrate to different environments, they may experience different selection pressures that can lead to local adaptation. To capture the genomic patterns of a local selective sweep, we develop XP-nSL, a genomic scan for local adaptation that compares haplotype patterns between two populations. We show that XP-nSL has power to detect ongoing and recently completed hard and soft sweeps, and we then apply this statistic to search for evidence of adaptation to high altitude in rhesus macaques. We analyze the whole genomes of 23 wild rhesus macaques captured at high altitude (mean altitude > 4000 m above sea level) to 22 wild rhesus macaques captured at low altitude (mean altitude < 500 m above sea level) and find evidence of local adaptation in the high-altitude population at or near 303 known genes and several unannotated regions. We find the strongest signal for adaptation at EGLN1, a classic target for convergent evolution in several species living in low oxygen environments. Furthermore, many of the 303 genes are involved in processes related to hypoxia, regulation of ROS, DNA damage repair, synaptic signaling, and metabolism. These results suggest that, beyond adapting via a beneficial mutation in one single gene, adaptation to high altitude in rhesus macaques is polygenic and spread across numerous important biological systems.
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Affiliation(s)
- Zachary A Szpiech
- Department of Biology Pennsylvania State University University Park Pennsylvania 16801.,Institute for Computational and Data Sciences Pennsylvania State University University Park Pennsylvania 16801.,Department of Biological Sciences Auburn University Auburn Ala 36842 USA
| | - Taylor E Novak
- Department of Biological Sciences Auburn University Auburn Ala 36842 USA
| | - Nick P Bailey
- Department of Biological Sciences Auburn University Auburn Ala 36842 USA
| | - Laurie S Stevison
- Department of Biological Sciences Auburn University Auburn Ala 36842 USA
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21
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Osada N, Matsudaira K, Hamada Y, Malaivijitnond S. Testing Sex-Biased Admixture Origin of Macaque Species Using Autosomal and X-Chromosomal Genomic Sequences. Genome Biol Evol 2021; 13:evaa209. [PMID: 33045051 PMCID: PMC8631084 DOI: 10.1093/gbe/evaa209] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2020] [Indexed: 11/22/2022] Open
Abstract
The role of sex-specific demography in hybridization and admixture of genetically diverged species and populations is essential to understand the origins of the genomic diversity of sexually reproducing organisms. In order to infer how sex-linked loci have been differentiated undergoing frequent hybridization and admixture, we examined 17 whole-genome sequences of seven species representing the genus Macaca, which shows frequent inter-specific hybridization and predominantly female philopatry. We found that hybridization and admixture were prevalent within these species. For three cases of suggested hybrid origin of species/subspecies, Macaca arctoides, Macaca fascicularis ssp. aurea, and Chinese Macaca mulatta, we examined the level of admixture of X chromosomes, which is less affected by male-biased migration than that of autosomes. In one case, we found that Macaca cyclopis and Macaca fuscata was genetically closer to Chinese M. mulatta than to the Indian M. mulatta, and the admixture level of Chinese M. mulatta and M. fuscata/cyclopis was more pronounced on the X chromosome than on autosomes. Since the mitochondrial genomes of Chinese M. mulatta, M. cyclopis, and M. fuscata were found to cluster together, and the mitochondrial genome of Indian M. mulatta is more distantly related, the observed pattern of genetic differentiation on X-chromosomal loci is consistent with the nuclear swamping hypothesis, in which strong, continuous male-biased introgression from the ancestral Chinese M. mulatta population to a population related to M. fuscata and M. cyclopis generated incongruencies between the genealogies of the mitochondrial and nuclear genomes.
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Affiliation(s)
- Naoki Osada
- Faculty of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan
- Global Station for Big Data and Cybersecurity, GI-CoRE, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Kazunari Matsudaira
- Department of Biology, Faculty of Science, Chulalongkorn University, Pathumwan, Bangkok, Thailand
- Unit of Human Biology and Genetics, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Yuzuru Hamada
- Evolutionary Morphology Section, Department of Evolution and Phylogeny, Primate Research Institute, Kyoto University, Inuyama, Aichi, Japan
| | - Suchinda Malaivijitnond
- Department of Biology, Faculty of Science, Chulalongkorn University, Pathumwan, Bangkok, Thailand
- National Primate Research Center of Thailand, Chulalongkorn University, Saraburi Province, Thailand
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22
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Li J, Fan Z, Shen F, Pendleton AL, Song Y, Xing J, Yue B, Kidd JM, Li J. Genomic Copy Number Variation Study of Nine Macaca Species Provides New Insights into Their Genetic Divergence, Adaptation, and Biomedical Application. Genome Biol Evol 2020; 12:2211-2230. [PMID: 32970804 PMCID: PMC7846157 DOI: 10.1093/gbe/evaa200] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/19/2020] [Indexed: 02/06/2023] Open
Abstract
Copy number variation (CNV) can promote phenotypic diversification and adaptive evolution. However, the genomic architecture of CNVs among Macaca species remains scarcely reported, and the roles of CNVs in adaptation and evolution of macaques have not been well addressed. Here, we identified and characterized 1,479 genome-wide hetero-specific CNVs across nine Macaca species with bioinformatic methods, along with 26 CNV-dense regions and dozens of lineage-specific CNVs. The genes intersecting CNVs were overrepresented in nutritional metabolism, xenobiotics/drug metabolism, and immune-related pathways. Population-level transcriptome data showed that nearly 46% of CNV genes were differentially expressed across populations and also mainly consisted of metabolic and immune-related genes, which implied the role of CNVs in environmental adaptation of Macaca. Several CNVs overlapping drug metabolism genes were verified with genomic quantitative polymerase chain reaction, suggesting that these macaques may have different drug metabolism features. The CNV-dense regions, including 15 first reported here, represent unstable genomic segments in macaques where biological innovation may evolve. Twelve gains and 40 losses specific to the Barbary macaque contain genes with essential roles in energy homeostasis and immunity defense, inferring the genetic basis of its unique distribution in North Africa. Our study not only elucidated the genetic diversity across Macaca species from the perspective of structural variation but also provided suggestive evidence for the role of CNVs in adaptation and genome evolution. Additionally, our findings provide new insights into the application of diverse macaques to drug study.
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Affiliation(s)
- Jing Li
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Zhenxin Fan
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Feichen Shen
- Department of Human Genetics, Medical School, University of Michigan
| | | | - Yang Song
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Jinchuan Xing
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway
| | - Bisong Yue
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Jeffrey M Kidd
- Department of Human Genetics, Medical School, University of Michigan
| | - Jing Li
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
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23
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Orkin JD, Kuderna LFK, Marques-Bonet T. The Diversity of Primates: From Biomedicine to Conservation Genomics. Annu Rev Anim Biosci 2020; 9:103-124. [PMID: 33197208 DOI: 10.1146/annurev-animal-061220-023138] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Until now, the field of primate genomics has focused on two major themes: understanding human evolution and advancing biomedical research. We propose that it is now time for a third theme to receive attention: conservation genomics. As a result of anthropogenic effects, the majority of primate species have become threatened with extinction. A more robust primate conservation genomics will allow for genetically informed population management. Thanks to a steady decline in the cost of sequencing, it has now become feasible to sequence whole primate genomes at the population level. Furthermore, technological advances in noninvasive genomic methods have made it possible to acquire genome-scale data from noninvasive biomaterials. Here, we review recent advances in the analysis of primate diversity, with a focus on genomic data sets across the radiation.
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Affiliation(s)
- Joseph D Orkin
- Institut de Biologia Evolutiva, Pompeu Fabra University and Spanish National Research Council, 08003 Barcelona, Spain; , ,
| | - Lukas F K Kuderna
- Institut de Biologia Evolutiva, Pompeu Fabra University and Spanish National Research Council, 08003 Barcelona, Spain; , ,
| | - Tomas Marques-Bonet
- Institut de Biologia Evolutiva, Pompeu Fabra University and Spanish National Research Council, 08003 Barcelona, Spain; , , .,Sequencing Unit, National Genomic Analysis Center, Centre for Genomic Regulation, Barcelona Institute of Science, 08036 Barcelona, Spain.,Institució Catalana de Recerca i Estudis Avançats, 08010 Barcelona, Spain.,Institut Català de Paleontologia Miquel Crusafont, Universitat Autónoma de Barcelona, 08193 Barcelona, Spain
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24
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Bi C, Lu N, Huang Z, Chen J, He C, Lu Z. Whole-genome resequencing reveals the pleistocene temporal dynamics of Branchiostoma belcheri and Branchiostoma floridae populations. Ecol Evol 2020; 10:8210-8224. [PMID: 32788973 PMCID: PMC7417228 DOI: 10.1002/ece3.6527] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 06/05/2020] [Accepted: 06/08/2020] [Indexed: 12/30/2022] Open
Abstract
Global climatic fluctuations governed the ancestral demographic histories of species and contributed to place the current population status into a more extensive ecological and evolutionary context. Genetic variations will leave unambiguous signatures in the patterns of intraspecific genetic variation in extant species since the genome of each individual is an imperfect mosaic of the ancestral genomes. Here, we report the genome sequences of 20 Branchiostoma individuals by whole-genome resequencing strategy. We detected over 140 million genomic variations for each Branchiostoma individual. In particular, we applied the pairwise sequentially Markovian coalescent (PSMC) method to estimate the trajectories of changes in the effective population size (N e) of Branchiostoma population during the Pleistocene. We evaluated the threshold of sequencing depth for proper inference of demographic histories using PSMC was ≥25×. The PSMC results highlight the role of historical global climatic fluctuations in the long-term population dynamics of Branchiostoma. The inferred ancestral N e of the Branchiostoma belcheri populations from Zhanjiang and Xiamen (China) seawaters was different in amplitude before the first (mutation rate = 3 × 10-9) or third glaciation (mutation rate = 9 × 10-9) of the Pleistocene, indicating that the two populations most probably started to evolve in isolation in their respective seas after the first or third glaciation of the Pleistocene. A pronounced population bottleneck coinciding with the last glacial maximum was observed in all Branchiostoma individuals, followed by a population expansion occurred during the late Pleistocene. Species that have experienced long-term declines may be especially vulnerable to recent anthropogenic activities. Recently, the industrial pollution and the exploitation of sea sand have destroyed the harmonious living environment of amphioxus species. In the future, we need to protect the habitat of Branchiostoma and make full use of these detected genetic variations to facilitate the functional study of Branchiostoma for adaptation to local environments.
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Affiliation(s)
- Changwei Bi
- State Key Laboratory of BioelectronicsSchool of Biological Science and Medical EngineeringSoutheast UniversityNanjingChina
| | - Na Lu
- State Key Laboratory of BioelectronicsSchool of Biological Science and Medical EngineeringSoutheast UniversityNanjingChina
| | - Zhen Huang
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Product of State Oceanic AdministrationCollege of Life SciencesFujian Normal UniversityFuzhouChina
- Key Laboratory of Special Marine Bio‐resources Sustainable Utilization of Fujian ProvinceFuzhouChina
| | - Junyuan Chen
- Nanjing Institute of Paleontology and GeologyChinese Academy of SciencesNanjingChina
| | - Chunpeng He
- State Key Laboratory of BioelectronicsSchool of Biological Science and Medical EngineeringSoutheast UniversityNanjingChina
| | - Zuhong Lu
- State Key Laboratory of BioelectronicsSchool of Biological Science and Medical EngineeringSoutheast UniversityNanjingChina
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25
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Branching out: what omics can tell us about primate evolution. Curr Opin Genet Dev 2020; 62:65-71. [DOI: 10.1016/j.gde.2020.06.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 06/02/2020] [Accepted: 06/04/2020] [Indexed: 12/25/2022]
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26
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Sun N, Cao G, Li G, Liu Z, Quan RC. Macaca leonina has a wider niche breadth than sympatric M. mulatta in a fragmented tropical forest in southwest China. Am J Primatol 2020; 82:e23100. [PMID: 31990077 DOI: 10.1002/ajp.23100] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 01/03/2020] [Accepted: 01/12/2020] [Indexed: 12/31/2022]
Abstract
Niche differentiation has long been identified as an essential stabilizing mechanism for the coexistence of sympatric species. Using camera trapping data obtained during 2012-2016, we identified Macaca leonina and M. mulatta as the dominant macaque species in the Naban River Watershed National Nature Reserve (NRW-NNR), a tropical forest in southwestern China. In general, M. leonina exhibited a wider distribution and greater niche breadth than co-occurring M. mulatta. According to a fitted maximum entropy model (MaxEnt), M. leonina was predicted to predominantly occur in forest at higher elevation, whereas M. mulatta was predicted at lower elevation; the broadleaved evergreen forest was predicted as the most suitable vegetation for both species to inhabit, while the unsuitable area was bordered by rubber plantation, in which both food scarcity and human disturbance restricted the movement of macaques. Although the niches of these two species highly overlapped across space and time, we also found evidence for their spatiotemporal niche differentiation. When the two species inhabited independent areas with different elevations and vegetation, they maintained a similar activity pattern; however, in the zones of overlap, their activity patterns differed significantly. Further comparative field studies of these two macaques, considering other niche dimensions, are required to ensure their coexistence and long-term conservation.
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Affiliation(s)
- Nan Sun
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, China.,Department of Life Science, Qinghai Normal University, Xining, Qinghai, China
| | - Guanghong Cao
- Administration of Naban River Watershed National Nature Reserve, Jinghong, Yunnan, China
| | - Guogang Li
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, China
| | - Zehua Liu
- Department of Life Science, Qinghai Normal University, Xining, Qinghai, China
| | - Rui-Chang Quan
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, China
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27
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Liu Z, Tan X, Orozco-terWengel P, Zhou X, Zhang L, Tian S, Yan Z, Xu H, Ren B, Zhang P, Xiang Z, Sun B, Roos C, Bruford MW, Li M. Population genomics of wild Chinese rhesus macaques reveals a dynamic demographic history and local adaptation, with implications for biomedical research. Gigascience 2018; 7:5079661. [PMID: 30165519 PMCID: PMC6143732 DOI: 10.1093/gigascience/giy106] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 08/12/2018] [Indexed: 01/25/2023] Open
Abstract
Background The rhesus macaque (RM, Macaca mulatta) is the most important nonhuman primate model in biomedical research. We present the first genomic survey of wild RMs, sequencing 81 geo-referenced individuals of five subspecies from 17 locations in China, a large fraction of the species’ natural distribution. Results Populations were structured into five genetic lineages on the mainland and Hainan Island, recapitulating current subspecies designations. These subspecies are estimated to have diverged 125.8 to 51.3 thousand years ago, but feature recent gene flow. Consistent with the expectation of a larger body size in colder climates and smaller body size in warmer climates (Bergman's rule), the northernmost RM lineage (M. m. tcheliensis), possessing the largest body size of all Chinese RMs, and the southernmost lineage (M. m. brevicaudus), with the smallest body size of all Chinese RMs, feature positively selected genes responsible for skeletal development. Further, two candidate selected genes (Fbp1, Fbp2) found in M. m. tcheliensis are involved in gluconeogenesis, potentially maintaining stable blood glucose levels during starvation when food resources are scarce in winter. The tropical subspecies M. m. brevicaudus showed positively selected genes related to cardiovascular function and response to temperature stimuli, potentially involved in tropical adaptation. We found 118 single-nucleotide polymorphisms matching human disease-causing variants with 82 being subspecies specific. Conclusions These data provide a resource for selection of RMs in biomedical experiments. The demographic history of Chinese RMs and their history of local adaption offer new insights into their evolution and provide valuable baseline information for biomedical investigation.
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Affiliation(s)
- Zhijin Liu
- Chinese Academy of Sciences Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beichen West Road, Chaoyang District, Beijing, 100101, China
| | - Xinxin Tan
- Chinese Academy of Sciences Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beichen West Road, Chaoyang District, Beijing, 100101, China.,University of Chinese Academy of Sciences, Yuquan Road, Shijingshan District, Beijing, 100049, China
| | - Pablo Orozco-terWengel
- School of Biosciences, Cardiff University, Sir Martin Evans Building, Museum Avenue, Cardiff CF10 3AX, United Kingdom
| | - Xuming Zhou
- Chinese Academy of Sciences Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beichen West Road, Chaoyang District, Beijing, 100101, China.,Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Liye Zhang
- Chinese Academy of Sciences Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beichen West Road, Chaoyang District, Beijing, 100101, China.,University of Chinese Academy of Sciences, Yuquan Road, Shijingshan District, Beijing, 100049, China
| | - Shilin Tian
- Novogene Bioinformatics Institute, Jiuxianqiao North Road, Chaoyang District, Beijing, 100083, China
| | - Zhongze Yan
- Chinese Academy of Sciences Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beichen West Road, Chaoyang District, Beijing, 100101, China.,Institute of Physical Science and Information Technology, Anhui University, Jiulong Road, Hefei, 230601, China
| | - Huailiang Xu
- College of Life Science, Sichuan Agricultural University, Xinkang Road, Yucheng District, Ya'an, 625014, China
| | - Baoping Ren
- Chinese Academy of Sciences Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beichen West Road, Chaoyang District, Beijing, 100101, China
| | - Peng Zhang
- School of Sociology and Anthropology, Sun Yat-sen University, Xingang Xi Road, Guang Zhou, 510275, China
| | - Zuofu Xiang
- College of Life Science and Technology, Central South University of Forestry and Technology, Shaoshan South Road, Changsha, 410004, China
| | - Binghua Sun
- School of Life Sciences, Anhui University, Jiulong Road, Hefei, 230601, China
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Kellnerweg 4, Göttingen, 37077, Germany
| | - Michael W Bruford
- School of Biosciences, Cardiff University, Sir Martin Evans Building, Museum Avenue, Cardiff CF10 3AX, United Kingdom
| | - Ming Li
- Chinese Academy of Sciences Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beichen West Road, Chaoyang District, Beijing, 100101, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
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