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Zhang M, Yang Q, Ai H, Huang L. Revisiting the Evolutionary History of Pigs via De Novo Mutation Rate Estimation in A Three-generation Pedigree. GENOMICS, PROTEOMICS & BIOINFORMATICS 2022; 20:1040-1052. [PMID: 35181533 DOI: 10.1016/j.gpb.2022.02.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 12/20/2021] [Accepted: 02/09/2022] [Indexed: 12/30/2022]
Abstract
The mutation rate used in the previous analyses of pig evolution and demographics was cursory and hence invited potential bias in inferring evolutionary history. Herein, we estimated the de novo mutation rate of pigs as 3.6 × 10-9 per base per generation using high-quality whole-genome sequencing data from nine individuals in a three-generation pedigree through stringent filtering and validation. Using this mutation rate, we re-investigated the evolutionary history of pigs. The estimated divergence time of ∼ 10 kiloyears ago (KYA) between European wild and domesticated pigs was consistent with the domestication time of European pigs based on archaeological evidence. However, other divergence events inferred here were not as ancient as previously described. Our estimates suggested that Sus speciation occurred ∼ 1.36 million years ago (MYA); European wild pigs split from Asian wild pigs only ∼ 219 KYA; and south and north Chinese wild pigs split ∼ 25 KYA. Meanwhile, our results showed that the most recent divergence event between Chinese wild and domesticated pigs occurred in the Hetao plain, North China, approximately 20 KYA, supporting the possibly independent domestication in North China along the middle Yellow River. We also found that the maximum effective population size of pigs was ∼ 6 times larger than the previous estimate. An archaic migration from other Sus species originating ∼ 2 MYA to European pigs was detected during western colonization of pigs; this interfered with the previous demographic inference. Our de novo mutation rate estimation and its consequences for demographic history inference reasonably provide a new vision regarding the evolutionary history of pigs.
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Affiliation(s)
- Mingpeng Zhang
- State Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Qiang Yang
- State Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Huashui Ai
- State Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China.
| | - Lusheng Huang
- State Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China.
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Sun Y, Deng T, Zhang A, Moore MJ, Landis JB, Lin N, Zhang H, Zhang X, Huang J, Zhang X, Sun H, Wang H. Genome Sequencing of the Endangered Kingdonia uniflora (Circaeasteraceae, Ranunculales) Reveals Potential Mechanisms of Evolutionary Specialization. iScience 2020; 23:101124. [PMID: 32428861 PMCID: PMC7232092 DOI: 10.1016/j.isci.2020.101124] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 03/20/2020] [Accepted: 04/29/2020] [Indexed: 12/20/2022] Open
Abstract
Kingdonia uniflora, an alpine herb, has an extremely narrow distribution and represents a model for studying evolutionary mechanisms of species that have adapted to undisturbed environments for evolutionarily long periods of time. We assembled a 1,004.7-Mb draft genome (encoding 43,301 genes) of K. uniflora and found significant overrepresentation in gene families associated with DNA repair, underrepresentation in gene families associated with stress response, and loss of most plastid ndh genes. During the evolutionary process, the overrepresentation of gene families involved in DNA repair could help asexual K. uniflora reduce the accumulation of deleterious mutations, while reducing genetic diversity, which is important in responding to environment fluctuations. The underrepresentation of gene families related to stress response and functional loss of ndh genes could be due to lack or loss of ability to respond to environmental changes caused by long-term adaptation to a relatively stable ecological environment.
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Affiliation(s)
- Yanxia Sun
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China; Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan, Hubei, China
| | - Tao Deng
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Aidi Zhang
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China; Center of Economic Botany, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan, Hubei, China
| | | | - Jacob B Landis
- Department of Botany and Plant Sciences, University of California Riverside, Riverside, CA, USA; School of Integrative Plant Science, Section of Plant Biology and the L.H. Bailey Hortorium, Cornell University, Ithaca, NY, USA
| | - Nan Lin
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China; Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan, Hubei, China
| | - Huajie Zhang
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China; Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan, Hubei, China
| | - Xu Zhang
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China; Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan, Hubei, China
| | - Jinling Huang
- Department of Biology, East Carolina University, Greenville, NC, USA
| | - Xiujun Zhang
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China; Center of Economic Botany, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan, Hubei, China.
| | - Hang Sun
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China.
| | - Hengchang Wang
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China; Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan, Hubei, China.
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Liu L, Bosse M, Megens HJ, Frantz LAF, Lee YL, Irving-Pease EK, Narayan G, Groenen MAM, Madsen O. Genomic analysis on pygmy hog reveals extensive interbreeding during wild boar expansion. Nat Commun 2019; 10:1992. [PMID: 31040280 PMCID: PMC6491599 DOI: 10.1038/s41467-019-10017-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 04/15/2019] [Indexed: 12/24/2022] Open
Abstract
Wild boar (Sus scrofa) drastically colonized mainland Eurasia and North Africa, most likely from East Asia during the Plio-Pleistocene (2–1Mya). In recent studies, based on genome-wide information, it was hypothesized that wild boar did not replace the species it encountered, but instead exchanged genetic materials with them through admixture. The highly endangered pygmy hog (Porcula salvania) is the only suid species in mainland Eurasia known to have outlived this expansion, and therefore provides a unique opportunity to test this hybridization hypothesis. Analyses of pygmy hog genomes indicate that despite large phylogenetic divergence (~2 My), wild boar and pygmy hog did indeed interbreed as the former expanded across Eurasia. In addition, we also assess the taxonomic placement of the donor of another introgression, pertaining to a now-extinct species with a deep phylogenetic placement in the Suidae tree. Altogether, our analyses indicate that the rapid spread of wild boar was facilitated by inter-specific/inter-generic admixtures. The pygmy hog (Porcula salvania), now highly endangered and restricted in a small region at the southern foothills of the Himalaya, is the only suid species in mainland Eurasia that outlived the expansion of wild boar (Sus scrofa). Here, the authors analyze genomes of pygmy hog and related suid species, and identify signals of introgression among these species.
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Affiliation(s)
- Langqing Liu
- Animal Breeding and Genomics, Wageningen University & Research, 6708PB, Wageningen, the Netherlands.
| | - Mirte Bosse
- Animal Breeding and Genomics, Wageningen University & Research, 6708PB, Wageningen, the Netherlands
| | - Hendrik-Jan Megens
- Animal Breeding and Genomics, Wageningen University & Research, 6708PB, Wageningen, the Netherlands
| | - Laurent A F Frantz
- School of Biological and Chemical Sciences, Queen Mary University of London, E1 4NS, London, United Kingdom.,Palaeogenomics and Bioarcheology Research Network, Research Laboratory for Archeology and History of Art, University of Oxford, Oxford, OX1 3QY, United Kingdom
| | - Young-Lim Lee
- Animal Breeding and Genomics, Wageningen University & Research, 6708PB, Wageningen, the Netherlands
| | - Evan K Irving-Pease
- Palaeogenomics and Bioarcheology Research Network, Research Laboratory for Archeology and History of Art, University of Oxford, Oxford, OX1 3QY, United Kingdom
| | - Goutam Narayan
- Durrell Wildlife Conservation Trust, Les Augrès Manor, Jersey, JE3 5BP, Channel Islands, United Kingdom.,Pygmy Hog Conservation Programme, EcoSystems-India, Indira Nagar, Basistha, Guwahati, Assam, 781029, India
| | - Martien A M Groenen
- Animal Breeding and Genomics, Wageningen University & Research, 6708PB, Wageningen, the Netherlands
| | - Ole Madsen
- Animal Breeding and Genomics, Wageningen University & Research, 6708PB, Wageningen, the Netherlands.
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Reference Genomes from Distantly Related Species Can Be Used for Discovery of Single Nucleotide Polymorphisms to Inform Conservation Management. Genes (Basel) 2018; 10:genes10010009. [PMID: 30583569 PMCID: PMC6356778 DOI: 10.3390/genes10010009] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 12/16/2018] [Accepted: 12/19/2018] [Indexed: 11/21/2022] Open
Abstract
Threatened species recovery programmes benefit from incorporating genomic data into conservation management strategies to enhance species recovery. However, a lack of readily available genomic resources, including conspecific reference genomes, often limits the inclusion of genomic data. Here, we investigate the utility of closely related high-quality reference genomes for single nucleotide polymorphism (SNP) discovery using the critically endangered kakī/black stilt (Himantopus novaezelandiae) and four Charadriiform reference genomes as proof of concept. We compare diversity estimates (i.e., nucleotide diversity, individual heterozygosity, and relatedness) based on kakī SNPs discovered from genotyping-by-sequencing and whole genome resequencing reads mapped to conordinal (killdeer, Charadrius vociferus), confamilial (pied avocet, Recurvirostra avosetta), congeneric (pied stilt, Himantopus himantopus) and conspecific reference genomes. Results indicate that diversity estimates calculated from SNPs discovered using closely related reference genomes correlate significantly with estimates calculated from SNPs discovered using a conspecific genome. Congeneric and confamilial references provide higher correlations and more similar measures of nucleotide diversity, individual heterozygosity, and relatedness. While conspecific genomes may be necessary to address other questions in conservation, SNP discovery using high-quality reference genomes of closely related species is a cost-effective approach for estimating diversity measures in threatened species.
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Cesconeto RJ, Joost S, McManus CM, Paiva SR, Cobuci JA, Braccini J. Landscape genomic approach to detect selection signatures in locally adapted Brazilian swine genetic groups. Ecol Evol 2017; 7:9544-9556. [PMID: 29187988 PMCID: PMC5696410 DOI: 10.1002/ece3.3323] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Revised: 07/17/2017] [Accepted: 07/18/2017] [Indexed: 11/27/2022] Open
Abstract
Samples of 191 animals from 18 different Brazilian locally adapted swine genetic groups were genotyped using Illumina Porcine SNP60 BeadChip in order to identify selection signatures related to the monthly variation of Brazilian environmental variables. Using BayeScan software, 71 SNP markers were identified as FST outliers and 60 genotypes (58 markers) were found by Samβada software in 371 logistic models correlated with 112 environmental variables. Five markers were identified in both methods, with a Kappa value of 0.073 (95% CI: 0.011-0.134). The frequency of these markers indicated a clear north-south country division that reflects Brazilian environmental differences in temperature, solar radiation, and precipitation. Global spatial territory correlation for environmental variables corroborates this finding (average Moran's I = 0.89, range from 0.55 to 0.97). The distribution of alleles over the territory was not strongly correlated with the breed/genetic groups. These results are congruent with previous mtDNA studies and should be used to direct germplasm collection for the National gene bank.
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Affiliation(s)
| | - Stéphane Joost
- Laboratory of Geographic Information Systems (LASIG)School of Architecture, Civil and Environmental Engineering (ENAC)Ecole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | | | | | - Jaime Araujo Cobuci
- Universidade Federal do Rio Grande do SulPorto AlegreRio Grande do SulBrazil
| | - Jose Braccini
- Universidade Federal do Rio Grande do SulPorto AlegreRio Grande do SulBrazil
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