1
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Liu X, Hong Y, Guo J, Zhang N, Zhou S, Jin L, Ma X, Yuan Z, Du H, Zhang M, Wang J. Population Genetic Characteristics of Siberian Roe Deer in the Cold Temperate Forest Ecosystem of the Greater Khingan Mountains, Northeast China. BIOLOGY 2024; 13:935. [PMID: 39596890 PMCID: PMC11591672 DOI: 10.3390/biology13110935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2024] [Revised: 11/06/2024] [Accepted: 11/14/2024] [Indexed: 11/29/2024]
Abstract
This study focuses on the Siberian roe deer population in the Greater Khingan Mountains, Northeast China. The cold temperate forest ecosystem in this area is distinctive. The Siberian roe deer is a crucial ecological indicator species, and its living conditions hold significant importance for ecological balance. From the winter of 2019 to 2022, 269 fecal samples of Siberian roe deer were collected from four protected areas in the northern part of the Greater Khingan Mountains, Heilongjiang Province. These samples were comprehensively analyzed using mitochondrial DNA and microsatellite markers, combined with conservation genetics evaluation methods. The results revealed that 244 individuals were identified in the fecal samples. The results of a Cyt b genetic analysis of the samples indicated that the haplotype and nucleotide diversity were 88.1% and 20.3%, respectively. The evaluation of 14 pairs of microsatellite loci showed that the average number of alleles was 11.2, and the average expected and observed heterozygosity were 0.672 and 0.506, respectively. Therefore, the overall genetic diversity level is high, but some populations of Siberian roe deer are at risk. AMOVA analysis and STRUCTURE Bayesian clustering confirmed the existence of obvious genetic differentiation among the populations. Historical studies have shown that the HZ and SH populations underwent the earliest diffusion events, and the BJC and SL populations also exhibited related signs (HZ: Huzhong Nature Reserve in the Greater Khingan Mountains; SH: Shuanghe National Nature Reserve in Heilongjiang Province; BJC: Heilongjiang Beijicun National Nature Reserve; SL: Songling District in Heilongjiang Province). Mismatch distribution and neutral tests indicated no expansion events or bottleneck effects in the population, and the inbreeding coefficient was positive, suggesting the possibility of inbreeding. The development potential of the population in the future varies among the various local populations. This study supports the biodiversity of Siberian roe deer at the genetic level to save the population and provides important scientific basis and reference for the protection and management of Siberian roe deer.
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Affiliation(s)
- Xinxin Liu
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China; (X.L.); (Y.H.); (J.G.); (N.Z.); (L.J.); (H.D.)
| | - Yang Hong
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China; (X.L.); (Y.H.); (J.G.); (N.Z.); (L.J.); (H.D.)
| | - Jinhao Guo
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China; (X.L.); (Y.H.); (J.G.); (N.Z.); (L.J.); (H.D.)
| | - Ning Zhang
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China; (X.L.); (Y.H.); (J.G.); (N.Z.); (L.J.); (H.D.)
| | - Shaochun Zhou
- Wildlife Research Institute of Heilongjiang Province, Harbin 150010, China; (S.Z.); (X.M.)
| | - Lu Jin
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China; (X.L.); (Y.H.); (J.G.); (N.Z.); (L.J.); (H.D.)
| | - Xiaoqian Ma
- Wildlife Research Institute of Heilongjiang Province, Harbin 150010, China; (S.Z.); (X.M.)
| | - Ziao Yuan
- College of Life Science and Technology, Harbin Normal University, Harbin 150080, China;
| | - Hairong Du
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China; (X.L.); (Y.H.); (J.G.); (N.Z.); (L.J.); (H.D.)
| | - Minghai Zhang
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China; (X.L.); (Y.H.); (J.G.); (N.Z.); (L.J.); (H.D.)
| | - Jialong Wang
- Institute of Applied Microbiology, Heilongjiang Academy of Sciences, Harbin 150010, China
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2
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Martin CA, Sheppard EC, Ali HAA, Illera JC, Suh A, Spurgin LG, Richardson DS. Genomic landscapes of divergence among island bird populations: Evidence of parallel adaptation but at different loci? Mol Ecol 2024; 33:e17365. [PMID: 38733214 DOI: 10.1111/mec.17365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 03/01/2024] [Indexed: 05/13/2024]
Abstract
When populations colonise new environments, they may be exposed to novel selection pressures but also suffer from extensive genetic drift due to founder effects, small population sizes and limited interpopulation gene flow. Genomic approaches enable us to study how these factors drive divergence, and disentangle neutral effects from differentiation at specific loci due to selection. Here, we investigate patterns of genetic diversity and divergence using whole-genome resequencing (>22× coverage) in Berthelot's pipit (Anthus berthelotii), a passerine endemic to the islands of three north Atlantic archipelagos. Strong environmental gradients, including in pathogen pressure, across populations in the species range, make it an excellent system in which to explore traits important in adaptation and/or incipient speciation. First, we quantify how genomic divergence accumulates across the speciation continuum, that is, among Berthelot's pipit populations, between sub species across archipelagos, and between Berthelot's pipit and its mainland ancestor, the tawny pipit (Anthus campestris). Across these colonisation timeframes (2.1 million-ca. 8000 years ago), we identify highly differentiated loci within genomic islands of divergence and conclude that the observed distributions align with expectations for non-neutral divergence. Characteristic signatures of selection are identified in loci associated with craniofacial/bone and eye development, metabolism and immune response between population comparisons. Interestingly, we find limited evidence for repeated divergence of the same loci across the colonisation range but do identify different loci putatively associated with the same biological traits in different populations, likely due to parallel adaptation. Incipient speciation across these island populations, in which founder effects and selective pressures are strong, may therefore be repeatedly associated with morphology, metabolism and immune defence.
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Affiliation(s)
- Claudia A Martin
- School of Biological Sciences, University of East Anglia, Norfolk, UK
- Terrestrial Ecology Unit, Biology Department, Ghent University, Ghent, Belgium
- School of Biological Sciences, The University of Edinburgh, Edinburgh, UK
| | | | - Hisham A A Ali
- Department of Biology, Edward Grey Institute of Field Ornithology, University of Oxford, Oxford, UK
| | - Juan Carlos Illera
- Biodiversity Research Institute (CSIC-Oviedo University-Principality of Asturias), University of Oviedo, Mieres, Asturias, Spain
| | - Alexander Suh
- School of Biological Sciences, University of East Anglia, Norfolk, UK
- Department of Organismal Biology - Systematic Biology, Evolutionary Biology Centre (EBC), Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Lewis G Spurgin
- School of Biological Sciences, University of East Anglia, Norfolk, UK
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3
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Kessler C, Shafer ABA. Genomic Analyses Capture the Human-Induced Demographic Collapse and Recovery in a Wide-Ranging Cervid. Mol Biol Evol 2024; 41:msae038. [PMID: 38378172 PMCID: PMC10917209 DOI: 10.1093/molbev/msae038] [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: 08/15/2023] [Revised: 02/08/2024] [Accepted: 02/14/2024] [Indexed: 02/22/2024] Open
Abstract
The glacial cycles of the Quaternary heavily impacted species through successions of population contractions and expansions. Similarly, populations have been intensely shaped by human pressures such as unregulated hunting and land use changes. White-tailed and mule deer survived in different refugia through the Last Glacial Maximum, and their populations were severely reduced after the European colonization. Here, we analyzed 73 resequenced deer genomes from across their North American range to understand the consequences of climatic and anthropogenic pressures on deer demographic and adaptive history. We found strong signals of climate-induced vicariance and demographic decline; notably, multiple sequentially Markovian coalescent recovers a severe decline in mainland white-tailed deer effective population size (Ne) at the end of the Last Glacial Maximum. We found robust evidence for colonial overharvest in the form of a recent and dramatic drop in Ne in all analyzed populations. Historical census size and restocking data show a clear parallel to historical Ne estimates, and temporal Ne/Nc ratio shows patterns of conservation concern for mule deer. Signatures of selection highlight genes related to temperature, including a cold receptor previously highlighted in woolly mammoth. We also detected immune genes that we surmise reflect the changing land use patterns in North America. Our study provides a detailed picture of anthropogenic and climatic-induced decline in deer diversity and clues to understanding the conservation concerns of mule deer and the successful demographic recovery of white-tailed deer.
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Affiliation(s)
- Camille Kessler
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
| | - Aaron B A Shafer
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
- Department of Forensic Science, Trent University, Peterborough, Ontario, Canada
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4
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Lajmi A, Glinka F, Privman E. Optimizing ddRAD sequencing for population genomic studies with ddgRADer. Mol Ecol Resour 2023. [PMID: 37732396 DOI: 10.1111/1755-0998.13870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 08/04/2023] [Accepted: 08/31/2023] [Indexed: 09/22/2023]
Abstract
Double-digest Restriction-site Associated DNA sequencing (ddRADseq) is widely used to generate genomic data for non-model organisms in evolutionary and ecological studies. Along with affordable paired-end sequencing, this method makes population genomic analyses more accessible. However, multiple factors should be considered when designing a ddRADseq experiment, which can be challenging for new users. The generated data often suffer from substantial read overlaps and adaptor contamination, severely reducing sequencing efficiency and affecting data quality. Here, we analyse diverse datasets from the literature and carry out controlled experiments to understand the effects of enzyme choice and size selection on sequencing efficiency. The empirical data reveal that size selection is imprecise and has limited efficacy. In certain scenarios, a substantial proportion of short fragments pass below the lower size-selection cut-off resulting in low sequencing efficiency. However, enzyme choice can considerably mitigate inadvertent inclusion of these shorter fragments. A simple model based on these experiments is implemented to predict the number of genomic fragments generated after digestion and size selection, number of SNPs genotyped, number of samples that can be multiplexed and the expected sequencing efficiency. We developed ddgRADer - http://ddgrader.haifa.ac.il/ - a user-friendly webtool and incorporated these calculations to aid in ddRADseq experimental design while optimizing sequencing efficiency. This tool can also be used for single enzyme protocols such as Genotyping-by-Sequencing. Given user-defined study goals, ddgRADer recommends enzyme pairs and allows users to compare and choose enzymes and size-selection criteria. ddgRADer improves the accessibility and ease of designing ddRADseq experiments and increases the probability of success of the first population genomic study conducted in labs with no prior experience in genomics.
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Affiliation(s)
- Aparna Lajmi
- Department of Evolutionary and Environmental Biology, Institute of Evolution, University of Haifa, Haifa, Israel
| | - Felix Glinka
- Department of Evolutionary and Environmental Biology, Institute of Evolution, University of Haifa, Haifa, Israel
| | - Eyal Privman
- Department of Evolutionary and Environmental Biology, Institute of Evolution, University of Haifa, Haifa, Israel
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5
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Jabin G, Joshi BD, Wang MS, Mukherjee T, Dolker S, Wang S, Chandra K, Chinnadurai V, Sharma LK, Thakur M. Mid-Pleistocene Transitions Forced Himalayan ibex to Evolve Independently after Split into an Allopatric Refugium. BIOLOGY 2023; 12:1097. [PMID: 37626983 PMCID: PMC10451794 DOI: 10.3390/biology12081097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/27/2023]
Abstract
Pleistocene glaciations had profound impact on the spatial distribution and genetic makeup of species in temperate ecosystems. While the glacial period trapped several species into glacial refugia and caused abrupt decline in large populations, the interglacial period facilitated population growth and range expansion leading to allopatric speciation. Here, we analyzed 40 genomes of four species of ibex and found that Himalayan ibex in the Pamir Mountains evolved independently after splitting from its main range about 0.1 mya following the Pleistocene species pump concept. Demographic trajectories showed Himalayan ibex experienced two historic bottlenecks, one each c. 0.8-0.5 mya and c. 50-30 kya, with an intermediate large population expansion c. 0.2-0.16 mya coinciding with Mid-Pleistocene Transitions. We substantiate with multi-dimensional evidence that Himalayan ibex is an evolutionary distinct phylogenetic species of Siberian ibex which need to be prioritized as Capra himalayensis for taxonomic revision and conservation planning at a regional and global scale.
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Affiliation(s)
- Gul Jabin
- Zoological Survey of India, Kolkata 700053, India
- Department of Zoology, University of Calcutta, Kolkata 700019, India
| | | | - Ming-Shan Wang
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | | | - Stanzin Dolker
- Zoological Survey of India, Kolkata 700053, India
- Department of Zoology, University of Calcutta, Kolkata 700019, India
| | - Sheng Wang
- Kunming Institute of Zoology, Kunming 650223, China
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6
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Deng MX, Xiao B, Yuan JX, Hu JM, Kim KS, Westbury MV, Lai XL, Sheng GL. Ancient Mitogenomes Suggest Stable Mitochondrial Clades of the Siberian Roe Deer. Genes (Basel) 2022; 13:genes13010114. [PMID: 35052455 PMCID: PMC8774404 DOI: 10.3390/genes13010114] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 12/28/2021] [Accepted: 01/04/2022] [Indexed: 11/16/2022] Open
Abstract
The roe deer (Capreolus spp.) has been present in China since the early Pleistocene. Despite abundant fossils available for detailed morphological analyses, little is known about the phylogenetic relationships of the fossil individuals to contemporary roe deer. We generated near-complete mitochondrial genomes for four roe deer remains from Northeastern China to explore the genetic connection of the ancient roe deer to the extant populations and to investigate the evolutionary history and population dynamics of this species. Phylogenetic analyses indicated the four ancient samples fall into three out of four different haplogroups of the Siberian roe deer. Haplogroup C, distributed throughout Eurasia, have existed in Northeastern China since at least the Late Pleistocene, while haplogroup A and D, found in the east of Lake Baikal, emerged in Northeastern China after the Mid Holocene. The Bayesian estimation suggested that the first split within the Siberian roe deer occurred approximately 0.34 million years ago (Ma). Moreover, Bayesian skyline plot analyses suggested that the Siberian roe deer had a population increase between 325 and 225 thousand years ago (Kya) and suffered a transient decline between 50 and 18 Kya. This study provides novel insights into the evolutionary history and population dynamics of the roe deer.
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Affiliation(s)
- Miao-Xuan Deng
- School of Environmental Studies, China University of Geosciences, Wuhan 430078, China;
| | - Bo Xiao
- School of Earth Science, China University of Geosciences, Wuhan 430078, China; (B.X.); (J.-M.H.); (X.-L.L.)
| | - Jun-Xia Yuan
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430078, China;
- Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430078, China
| | - Jia-Ming Hu
- School of Earth Science, China University of Geosciences, Wuhan 430078, China; (B.X.); (J.-M.H.); (X.-L.L.)
| | - Kyung Seok Kim
- Department of Ecology, Evolution, and Organismal Biology, lowa State University, Ames, IA 77575, USA;
| | - Michael V. Westbury
- GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Voldgade 5-7, 1353 Copenhagen, Denmark;
| | - Xu-Long Lai
- School of Earth Science, China University of Geosciences, Wuhan 430078, China; (B.X.); (J.-M.H.); (X.-L.L.)
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430078, China;
| | - Gui-Lian Sheng
- School of Environmental Studies, China University of Geosciences, Wuhan 430078, China;
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430078, China;
- Correspondence: ; Tel.: +86-27-6788-3022
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7
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Combe FJ, Jaster L, Ricketts A, Haukos D, Hope AG. Population genomics of free-ranging Great Plains white-tailed and mule deer reflects a long history of interspecific hybridization. Evol Appl 2022; 15:111-131. [PMID: 35126651 PMCID: PMC8792484 DOI: 10.1111/eva.13330] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 09/21/2021] [Accepted: 11/22/2021] [Indexed: 12/11/2022] Open
Abstract
Hybridization is a natural process at species-range boundaries that may variably promote the speciation process or break down species barriers but minimally will influence management outcomes of distinct populations. White-tailed deer (Odocoileus virginianus) and mule deer (Odocoileus hemionus) have broad and overlapping distributions in North America and a recognized capacity for interspecific hybridization. In response to contemporary environmental change to any of one or multiple still-unknown factors, mule deer range is contracting westward accompanied by a westward expansion of white-tailed deer, leading to increasing interactions, opportunities for gene flow, and associated conservation implications. To quantify genetic diversity, phylogenomic structure, and dynamics of hybridization in sympatric populations of white-tailed and mule deer, we used mitochondrial cytochrome b data coupled with SNP loci discovered with double-digest restriction site-associated DNA sequencing. We recovered 25,018 SNPs across 92 deer samples from both species, collected from two regions of western Kansas. Eight individuals with unambiguous external morphology representing both species were of hybrid origin (8.7%), and represented the product of multi-generational backcrossing. Mitochondrial data showed both ancient and recent directional discordance with morphological species assignments, reflecting a legacy of mule deer males mating with white-tailed deer females. Mule deer had lower genetic diversity than white-tailed deer, and both mitochondrial and nuclear data suggest contemporary mule deer effective population decline. Landscape genetic analyses show relative isolation between the two study regions for white-tailed deer, but greater connectivity among mule deer, with predominant movement from north to south. Collectively, our results suggest a long history of gene flow between these species in the Great Plains and hint at evolutionary processes that purge incompatible functional genomic elements as a result of hybridization. Surviving hybrids evidently may be reproductive, but with unknown consequences for the future integrity of these species, population trajectories, or relative susceptibility to emerging pathogens.
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Affiliation(s)
- Fraser J. Combe
- Division of BiologyKansas State UniversityManhattanKansasUSA
| | - Levi Jaster
- Kansas Department of Wildlife and ParksTopekaKansasUSA
| | - Andrew Ricketts
- Department of Horticulture and Natural Sciences, Wildlife and Outdoor Enterprise ManagementKansas State UniversityManhattanKansasUSA
| | - David Haukos
- Division of BiologyU.S. Geological SurveyKansas Cooperative Fish and Wildlife Research UnitKansas State UniversityManhattanKansasUSA
| | - Andrew G. Hope
- Division of BiologyKansas State UniversityManhattanKansasUSA
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8
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Nadachowska‐Brzyska K, Konczal M, Babik W. Navigating the temporal continuum of effective population size. Methods Ecol Evol 2021. [DOI: 10.1111/2041-210x.13740] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
| | | | - Wieslaw Babik
- Jagiellonian University in Kraków Faculty of Biology Institute of Environmental Sciences Kraków Poland
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9
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Quéméré E, Hessenauer P, Galan M, Fernandez M, Merlet J, Chaval Y, Morellet N, Verheyden H, Gilot-Fromont E, Charbonnel N. Pathogen-mediated selection favours the maintenance of innate immunity gene polymorphism in a widespread wild ungulate. J Evol Biol 2021; 34:1156-1166. [PMID: 34062025 DOI: 10.1111/jeb.13876] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 05/07/2021] [Accepted: 05/15/2021] [Indexed: 12/11/2022]
Abstract
Toll-like receptors (TLR) play a central role in recognition and host frontline defence against a wide range of pathogens. A number of recent studies have shown that TLR genes (Tlrs) often exhibit large polymorphism in natural populations. Yet, there is little knowledge on how this polymorphism is maintained and how it influences disease susceptibility in the wild. In previous work, we showed that some Tlrs exhibit similarly high levels of genetic diversity as genes of the Major Histocompatibility Complex (MHC), and signatures of contemporary balancing selection in roe deer (Capreolus capreolus), the most abundant cervid species in Europe. Here, we investigated the evolutionary mechanisms by which pathogen-mediated selection could shape this innate immunity genetic diversity by examining the relationships between Tlr (Tlr2, Tlr4 and Tlr5) genotypes (heterozygosity status and presence of specific alleles) and infections with Toxoplasma and Chlamydia, two widespread intracellular pathogens known to cause reproductive failure in ungulates. We showed that Toxoplasma and Chlamydia exposures vary significantly across years and landscape features with few co-infection events detected and that the two pathogens exert antagonistic selection on Tlr2 polymorphism. By contrast, we found limited support for Tlr heterozygote advantage. Our study confirmed the importance of looking beyond Mhc genes in wildlife immunogenetic studies. It also emphasized the necessity to consider multiple pathogen challenges and their spatiotemporal variation to improve our understanding of vertebrate defence evolution against pathogens.
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Affiliation(s)
- Erwan Quéméré
- Université de Toulouse, INRAE, CEFS, Castanet-Tolosan, France.,LTSER ZA PYRénées GARonne, Auzeville-Tolosane, France.,ESE, Ecology and Ecosystems Health, INRAE, Rennes, France
| | | | - Maxime Galan
- Département de Foresterie, Université Laval, Quebec, QC, Canada
| | - Marie Fernandez
- Université de Toulouse, INRAE, CEFS, Castanet-Tolosan, France.,LTSER ZA PYRénées GARonne, Auzeville-Tolosane, France
| | - Joël Merlet
- Université de Toulouse, INRAE, CEFS, Castanet-Tolosan, France.,LTSER ZA PYRénées GARonne, Auzeville-Tolosane, France
| | - Yannick Chaval
- Université de Toulouse, INRAE, CEFS, Castanet-Tolosan, France.,LTSER ZA PYRénées GARonne, Auzeville-Tolosane, France
| | - Nicolas Morellet
- Université de Toulouse, INRAE, CEFS, Castanet-Tolosan, France.,LTSER ZA PYRénées GARonne, Auzeville-Tolosane, France
| | - Hélène Verheyden
- Université de Toulouse, INRAE, CEFS, Castanet-Tolosan, France.,LTSER ZA PYRénées GARonne, Auzeville-Tolosane, France
| | - Emmanuelle Gilot-Fromont
- Université de Lyon, Université Lyon 1, UMR CNRS 5558, Villeurbanne, France.,Université de Lyon, VetAgro Sup, Marcy l'Etoile, France
| | - Nathalie Charbonnel
- CBGP, INRAE, CIRAD, IRD, Institut Agro, Univ Montpellier, Montpellier, France
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10
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de Jong MJ, de Jong JF, Hoelzel AR, Janke A. SambaR: An R package for fast, easy and reproducible population-genetic analyses of biallelic SNP data sets. Mol Ecol Resour 2021; 21:1369-1379. [PMID: 33503314 DOI: 10.1111/1755-0998.13339] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 01/12/2021] [Indexed: 12/14/2022]
Abstract
SNP data sets can be used to infer a wealth of information about natural populations, including information about their structure, genetic diversity, and the presence of loci under selection. However, SNP data analysis can be a time-consuming and challenging process, not in the least because at present many different software packages are needed to execute and depict the wide variety of mainstream population-genetic analyses. Here, we present SambaR, an integrative and user-friendly R package which automates and simplifies quality control and population-genetic analyses of biallelic SNP data sets. SambaR allows users to perform mainstream population-genetic analyses and to generate a wide variety of ready to publish graphs with a minimum number of commands (less than 10). These wrapper commands call functions of existing packages (including adegenet, ape, LEA, poppr, pcadapt and StAMPP) as well as new tools uniquely implemented in SambaR. We tested SambaR on online available SNP data sets and found that SambaR can process data sets of over 100,000 SNPs and hundreds of individuals within hours, given sufficient computing power. Newly developed tools implemented in SambaR facilitate optimization of filter settings, objective interpretation of ordination analyses, enhance comparability of diversity estimates from reduced representation library SNP data sets, and generate reduced SNP panels and structure-like plots with Bayesian population assignment probabilities. SambaR facilitates rapid population genetic analyses on biallelic SNP data sets by removing three major time sinks: file handling, software learning, and data plotting. In addition, SambaR provides a convenient platform for SNP data storage and management, as well as several new utilities, including guidance in setting appropriate data filters. The SambaR source script, manual and example data set are distributed through GitHub: https://github.com/mennodejong1986/SambaR.
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Affiliation(s)
- Menno J de Jong
- Department of Biosciences, Durham University, Durham, UK.,Biodiversity and Climate Research Centre, Senckenberg Institute, Frankfurt am Main, Germany
| | - Joost F de Jong
- Wildlife Ecology and Conservation Group, Wageningen University, Wageningen, The Netherlands
| | - A Rus Hoelzel
- Department of Biosciences, Durham University, Durham, UK
| | - Axel Janke
- Biodiversity and Climate Research Centre, Senckenberg Institute, Frankfurt am Main, Germany.,Institute for Ecology, Evolution and Diversity, Goethe University, Frankfurt am Main, Germany.,LOEWE Centre for Translational Biodiversity Genomics, Frankfurt am Main, Germany
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11
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Rieseberg L, Warschefsky E, O’Boyle B, Taberlet P, Ortiz‐Barrientos D, Kane NC, Sibbett B. Editorial 2021. Mol Ecol 2020. [DOI: 10.1111/mec.15759] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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12
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Xie L, Deng Y, Shao X, Hu P, Zhao D, Li C, Ba H. Design of a universal primer pair for the identification of deer species. CONSERV GENET RESOUR 2020. [DOI: 10.1007/s12686-020-01176-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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13
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Alexander A, Dutoit L. Roe deer on ice: Selection despite limited effective population size through the Pleistocene. Mol Ecol 2020; 29:2765-2767. [PMID: 32564462 DOI: 10.1111/mec.15511] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 05/27/2020] [Accepted: 06/09/2020] [Indexed: 11/29/2022]
Abstract
Roe deer (Capreolus spp.) are a little odd. They are one of only a few placental mammals-and the only genus among even-toed ungulates-capable of putting embryonic development "on ice", also known as embryonic diapause (Figure 1). It would seem such an unusual trait is probably the product of natural selection, but a big question is, how does selection for important traits, such as diapause, interact with the historical demography of a species? In a 'From the Cover' article in this issue of Molecular Ecology, de Jong et al. (2020) demonstrate that selection is acting on genes associated with reproductive biology in roe deer, despite heightened genetic drift due to reduced effective population size through the Pleistocene.
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Affiliation(s)
- Alana Alexander
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Ludovic Dutoit
- Department of Zoology, University of Otago, Dunedin, New Zealand
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Ba H, Cai Z, Gao H, Qin T, Liu W, Xie L, Zhang Y, Jing B, Wang D, Li C. Chromosome-level genome assembly of Tarim red deer, Cervus elaphus yarkandensis. Sci Data 2020; 7:187. [PMID: 32561793 PMCID: PMC7305323 DOI: 10.1038/s41597-020-0537-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 05/19/2020] [Indexed: 11/27/2022] Open
Abstract
Tarim red deer (Cervus elaphus yarkandensis) is the only subspecies of red deer (of 22 subspecies) from Central Asia. This species is a desert dweller of the Tarim Basin of southern Xinjiang, China, and exhibits some unique adaptations to the dry and extreme hot climate. We report here the assembly of a Tarim red deer genome employing a 10X Genomics library, termed CEY_v1. Our genome consisted of 2.6 Gb with contig N50 and scaffold N50 of 275.5 Kb and 31.7 Mb, respectively. Around 96% of the assembled sequences were anchored onto 34 chromosomes based on the published high-quality red deer genetic linkage map. More than 94% BUSCOs complete genes (including 90.5% single and 3.6% duplicated ones) were detected in the CEY_v1 and 20,653 genes were annotated. The CEY_v1 is expected to contribute to comparative analysis of genome biology, to evolutionary studies within Cervidae, and to facilitating investigation of mechanisms underlying adaptation of this species to the extreme dry and hot climate.
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Affiliation(s)
- Hengxing Ba
- Institute of Special Wild Economic Animals and Plants, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
| | - Zexi Cai
- Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, 8830, Tjele, Denmark
| | - Haoyang Gao
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266032, Shandong Province, China
| | - Tao Qin
- Institute of Special Wild Economic Animals and Plants, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Wenyuan Liu
- Institute of Special Wild Economic Animals and Plants, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Liuwei Xie
- Institute of Special Wild Economic Animals and Plants, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Yaolei Zhang
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266032, Shandong Province, China
| | - Binyu Jing
- Xinjiang Company Ltd of Houshi Biological Science and Technology, 830002, Urumchi, China
| | - Datao Wang
- Institute of Special Wild Economic Animals and Plants, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
| | - Chunyi Li
- Institute of Special Wild Economic Animals and Plants, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
- Changchun Sci-Tech University, Changchun, 130600, China.
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