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Liu Y, Kuang W, Yue B, Zhou C. Genomic diversity and demographic history of the endangered Sichuan hill-partridge (Arborophila rufipectus). J Hered 2024; 115:532-540. [PMID: 38635970 DOI: 10.1093/jhered/esae020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 04/17/2024] [Indexed: 04/20/2024] Open
Abstract
Species conservation can be improved by knowledge of genetic diversity and demographic history. The Sichuan hill-partridge (Arborophila rufipectus, SP) is an endangered species endemic to the mountains in southwestern China. However, little is known about this species' genomic variation and demographic history. Here, we present a comprehensive whole-genome analysis of six SP individuals from the Laojunshan National Nature Reserve in Sichuan Province, China. We observe a relatively high genetic diversity and low level of recent inbreeding in the studied SP individuals. This suggests that the current population carries genetic variability that may benefit the long-term survival of this species, and that the present population may be larger than currently recognized. Analyses of demographic history showed that fluctuations in the effective population size of SP are inconsistent with changes of the historical climate. Strikingly, evidence from demographic modeling suggests SPs population decreased dramatically 15,100 years ago after the Last Glacial Maximum, possibly due to refugial isolation and later human interference. These results provide the first detailed and comprehensive genomic insights into genetic diversity, genomic inbreeding levels, and demographic history of the Sichuan hill-partridge, which are crucial for the conservation and management of this endangered species.
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Affiliation(s)
- Yi Liu
- Fishes Conservation and Utilization in the Upper Reaches of the Yangtze River Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang, China
- Key Laboratory of Bioresources and Eco-environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, China
| | - Weimin Kuang
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
| | - Bisong Yue
- Key Laboratory of Bioresources and Eco-environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, China
| | - Chuang Zhou
- Key Laboratory of Bioresources and Eco-environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, China
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Hashiguchi Y, Mishina T, Takeshima H, Nakayama K, Tanoue H, Takeshita N, Takahashi H. Draft Genome of Akame (Lates Japonicus) Reveals Possible Genetic Mechanisms for Long-Term Persistence and Adaptive Evolution with Low Genetic Diversity. Genome Biol Evol 2024; 16:evae174. [PMID: 39109913 PMCID: PMC11346364 DOI: 10.1093/gbe/evae174] [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] [Accepted: 08/03/2024] [Indexed: 08/27/2024] Open
Abstract
It is known that some endangered species have persisted for thousands of years despite their very small effective population sizes and low levels of genetic polymorphisms. To understand the genetic mechanisms of long-term persistence in threatened species, we determined the whole genome sequences of akame (Lates japonicus), which has survived for a long time with extremely low genetic variations. Genome-wide heterozygosity in akame was estimated to be 3.3 to 3.4 × 10-4/bp, one of the smallest values in teleost fishes. Analysis of demographic history revealed that the effective population size in akame was around 1,000 from 30,000 years ago to the recent past. The relatively high ratio of nonsynonymous to synonymous heterozygosity in akame indicated an increased genetic load. However, a detailed analysis of genetic diversity in the akame genome revealed that multiple genomic regions, including genes involved in immunity, synaptic development, and olfactory sensory systems, have retained relatively high nucleotide polymorphisms. This implies that the akame genome has preserved the functional genetic variations by balancing selection, to avoid a reduction in viability and loss of adaptive potential. Analysis of synonymous and nonsynonymous nucleotide substitution rates has detected signs of positive selection in many akame genes, suggesting adaptive evolution to temperate waters after the speciation of akame and its close relative, barramundi (Lates calcarifer). Our results indicate that the functional genetic diversity likely contributed to the long-term persistence of this species by avoiding the harmful effects of the population size reduction.
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Affiliation(s)
- Yasuyuki Hashiguchi
- Department of Biology, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka 569-0801, Japan
| | - Tappei Mishina
- Laboratory for Chromosome Segregation, RIKEN Center for Biosystems Dynamics Research (BDR), Chuo-ku, Kobe 650-0047, Japan
- Faculty of Agriculture, Kyushu University, Nishi-ku, Fukuoka 819-0395, Japan
| | - Hirohiko Takeshima
- Faculty of Marine Bioscience, Research Center for Marine Biosciences, Fukui Prefectural University, Obama, Fukui 917-0003, Japan
| | - Kouji Nakayama
- Division of Applied Biosciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan
| | - Hideaki Tanoue
- Operations Evaluation Division, General Planning and Coordination Department, Headquarters, Japan Fisheries Research and Education Agency, Yokohama, Kanagawa 221-8529, Japan
| | - Naohiko Takeshita
- Department of Applied Aquabiology, National Fisheries University, Shimonoseki, Yamaguchi 759-6595, Japan
| | - Hiroshi Takahashi
- Department of Applied Aquabiology, National Fisheries University, Shimonoseki, Yamaguchi 759-6595, Japan
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3
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Chromosomal-level genome assembly and single-nucleotide polymorphism sites of black-faced spoonbill Platalea minor. GIGABYTE 2024; 2024:1-13. [PMID: 39071178 PMCID: PMC11273517 DOI: 10.46471/gigabyte.130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 07/04/2024] [Indexed: 07/30/2024] Open
Abstract
Platalea minor, or black-faced spoonbill (Threskiornithidae), is a wading bird confined to coastal areas in East Asia. Due to habitat destruction, it was classified as globally endangered by the International Union for Conservation of Nature. However, the lack of genomic resources for this species hinders the understanding of its biology and diversity, and the development of conservation measures. Here, we report the first chromosomal-level genome assembly of P. minor using a combination of PacBio SMRT and Omni-C scaffolding technologies. The assembled genome (1.24 Gb) contains 95.33% of the sequences anchored to 31 pseudomolecules. The genome assembly has high sequence continuity with scaffold length N50 = 53 Mb. We predicted 18,780 protein-coding genes and measured high BUSCO score completeness (97.3%). Finally, we revealed 6,155,417 bi-allelic single nucleotide polymorphisms, accounting for ∼5% of the genome. This resource offers new opportunities for studying the black-faced spoonbill and developing conservation measures for this species.
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Xu L, Ren Y, Wu J, Cui T, Dong R, Huang C, Feng Z, Zhang T, Yang P, Yuan J, Xu X, Liu J, Wang J, Chen W, Mi D, Irwin DM, Yan Y, Xu L, Yu X, Li G. Evolution and expression patterns of the neo-sex chromosomes of the crested ibis. Nat Commun 2024; 15:1670. [PMID: 38395916 PMCID: PMC10891136 DOI: 10.1038/s41467-024-46052-x] [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: 06/21/2023] [Accepted: 02/08/2024] [Indexed: 02/25/2024] Open
Abstract
Bird sex chromosomes play a unique role in sex-determination, and affect the sexual morphology and behavior of bird species. Core waterbirds, a major clade of birds, share the common characteristics of being sexually monomorphic and having lower levels of inter-sexual conflict, yet their sex chromosome evolution remains poorly understood. Here, by we analyse of a chromosome-level assembly of a female crested ibis (Nipponia nippon), a typical core waterbird. We identify neo-sex chromosomes resulting from fusion of microchromosomes with ancient sex chromosomes. These fusion events likely occurred following the divergence of Threskiornithidae and Ardeidae. The neo-W chromosome of the crested ibis exhibits the characteristics of slow degradation, which is reflected in its retention of abundant gametologous genes. Neo-W chromosome genes display an apparent ovary-biased gene expression, which is largely driven by genes that are retained on the crested ibis W chromosome but lost in other bird species. These results provide new insights into the evolutionary history and expression patterns for the sex chromosomes of bird species.
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Affiliation(s)
- Lulu Xu
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Yandong Ren
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Jiahong Wu
- MOE Key Laboratory of Freshwater Fish Reproduction and Development, School of Life Sciences, Southwest University, Chongqing, China
| | - Tingting Cui
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Rong Dong
- Research Center for Qinling Giant Panda, Shaanxi Academy of Forestry, Xi'an, China
| | - Chen Huang
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Zhe Feng
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Tianmin Zhang
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Peng Yang
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Jiaqing Yuan
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Xiao Xu
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Jiao Liu
- MOE Key Laboratory of Freshwater Fish Reproduction and Development, School of Life Sciences, Southwest University, Chongqing, China
| | - Jinhong Wang
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Wu Chen
- Guangzhou Wildlife Research Center, Guangzhou Zoo, Guangzhou, China
| | - Da Mi
- Xi'an Haorui Genomics Technology Co., LTD, Xi'an, China
| | - David M Irwin
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Yaping Yan
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Luohao Xu
- MOE Key Laboratory of Freshwater Fish Reproduction and Development, School of Life Sciences, Southwest University, Chongqing, China.
| | - Xiaoping Yu
- College of Life Sciences, Shaanxi Normal University, Xi'an, China.
| | - Gang Li
- College of Life Sciences, Shaanxi Normal University, Xi'an, China.
- Guangzhou Wildlife Research Center, Guangzhou Zoo, Guangzhou, China.
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Luo H, Lin Q, Fang W, Chen X, Zhou X. Genomic insights into the endangered white-eared night heron (Gorsachius magnificus). BMC Genom Data 2024; 25:11. [PMID: 38291423 PMCID: PMC10826008 DOI: 10.1186/s12863-024-01194-1] [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: 10/16/2023] [Accepted: 01/18/2024] [Indexed: 02/01/2024] Open
Abstract
OBJECTIVES A genome sequence of a threatened species can provide valuable genetic information that is important for improving the conservation strategies. The white-eared night heron (Gorsachius magnificus) is an endangered and poorly known ardeid bird. In order to support future studies on conservation genetics and evolutionary adaptation of this species, we have reported a de novo assembled and annotated whole-genome sequence of the G. magnificus. DATA DESCRIPTION The final draft genome assembly of the G. magnificus was 1.19 Gb in size, with a contig N50 of 187.69 kb and a scaffold N50 of 7,338.28 kb. According to BUSCO analysis, the genome assembly contained 97.49% of the 8,338 genes in the Aves (odb10) dataset. Approximately 10.52% of the genome assembly was composed of repetitive sequences. A total of 14,613 protein-coding genes were predicted in the genome assembly, with functional annotations available for 14,611 genes. The genome assembly exhibited a heterozygosity rate of 0.49 heterozygosity per kilobase pair. This draft genome of G. magnificus provides valuable genomic resources for future studies on conservation and evolution.
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Affiliation(s)
- Haoran Luo
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, 361102, Xiamen, China
| | - Qingxian Lin
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, 361102, Xiamen, China.
| | - Wenzhen Fang
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, 361102, Xiamen, China
| | - Xiaolin Chen
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, 361102, Xiamen, China
| | - Xiaoping Zhou
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, 361102, Xiamen, China.
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Mirchandani CD, Shultz AJ, Thomas GWC, Smith SJ, Baylis M, Arnold B, Corbett-Detig R, Enbody E, Sackton TB. A Fast, Reproducible, High-throughput Variant Calling Workflow for Population Genomics. Mol Biol Evol 2024; 41:msad270. [PMID: 38069903 PMCID: PMC10764099 DOI: 10.1093/molbev/msad270] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 10/27/2023] [Accepted: 11/22/2023] [Indexed: 01/05/2024] Open
Abstract
The increasing availability of genomic resequencing data sets and high-quality reference genomes across the tree of life present exciting opportunities for comparative population genomic studies. However, substantial challenges prevent the simple reuse of data across different studies and species, arising from variability in variant calling pipelines, data quality, and the need for computationally intensive reanalysis. Here, we present snpArcher, a flexible and highly efficient workflow designed for the analysis of genomic resequencing data in nonmodel organisms. snpArcher provides a standardized variant calling pipeline and includes modules for variant quality control, data visualization, variant filtering, and other downstream analyses. Implemented in Snakemake, snpArcher is user-friendly, reproducible, and designed to be compatible with high-performance computing clusters and cloud environments. To demonstrate the flexibility of this pipeline, we applied snpArcher to 26 public resequencing data sets from nonmammalian vertebrates. These variant data sets are hosted publicly to enable future comparative population genomic analyses. With its extensibility and the availability of public data sets, snpArcher will contribute to a broader understanding of genetic variation across species by facilitating the rapid use and reuse of large genomic data sets.
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Affiliation(s)
- Cade D Mirchandani
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Allison J Shultz
- Ornithology Department, Natural History Museum of Los Angeles County, Los Angeles, CA 90007, USA
| | | | - Sara J Smith
- Informatics Group, Harvard University, Cambridge, MA, USA
- Biology, Mount Royal University, Calgary, AB T3E 6K6, Canada
| | - Mara Baylis
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Brian Arnold
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Center for Statistics and Machine Learning, Princeton University, Princeton, NJ, USA
| | - Russ Corbett-Detig
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Erik Enbody
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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7
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Hernández-Alonso G, Ramos-Madrigal J, van Grouw H, Ciucani MM, Cavill EL, Sinding MHS, Gopalakrishnan S, Pacheco G, Gilbert MTP. Redefining the Evolutionary History of the Rock Dove, Columba livia, Using Whole Genome Sequences. Mol Biol Evol 2023; 40:msad243. [PMID: 37950889 PMCID: PMC10667084 DOI: 10.1093/molbev/msad243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 10/10/2023] [Accepted: 11/03/2023] [Indexed: 11/13/2023] Open
Abstract
The domestic pigeon's exceptional phenotypic diversity was key in developing Darwin's Theory of Evolution and establishing the concept of artificial selection. However, unlike its domestic counterpart, its wild progenitor, the rock dove Columba livia has received considerably less attention. Therefore, questions regarding its domestication, evolution, taxonomy, and conservation status remain unresolved. We generated whole-genome sequencing data from 65 historical rock doves that represent all currently recognized subspecies and span the species' original geographic distribution. Our dataset includes 3 specimens from Darwin's collection, and the type specimens of 5 different taxa. We characterized their population structure, genomic diversity, and gene-flow patterns. Our results show the West African subspecies C. l. gymnocyclus is basal to rock doves and domestic pigeons, and suggests gene-flow between the rock dove's sister species C. rupestris, and the ancestor of rock doves after its split from West African populations. These genomes allowed us to propose a model for the evolution of the rock dove in light of the refugia theory. We propose that rock dove genetic diversity and introgression patterns derive from a history of allopatric cycles and dispersion waves during the Quaternary glacial and interglacial periods. To explore the rock dove domestication history, we combined our new dataset with available genomes from domestic pigeons. Our results point to at least 1 domestication event in the Levant that gave rise to all domestic breeds analysed in this study. Finally, we propose a species-level taxonomic arrangement to reflect the evolutionary history of the West African rock dove populations.
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Affiliation(s)
- Germán Hernández-Alonso
- Section for Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Jazmín Ramos-Madrigal
- Section for Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Hein van Grouw
- Bird Group, Department of Life Sciences, Natural History Museum, Tring, United Kingdom
| | - Marta Maria Ciucani
- Section for Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Emily Louisa Cavill
- Section for Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | | | - Shyam Gopalakrishnan
- Section for Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - George Pacheco
- Section for Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - M Thomas P Gilbert
- Section for Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- University Museum, Norwegian University of Science and Technology, Trondheim, Norway
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Zhao M, Ran X, Bai Y, Ma Z, Gao J, Xing D, Li C, Guo X, Jian X, Liu W, Liao Y, Chen K, Zhang H, Zhao T. Genetic diversity of Aedes aegypti and Aedes albopictus from cohabiting fields in Hainan Island and the Leizhou Peninsula, China. Parasit Vectors 2023; 16:319. [PMID: 37684698 PMCID: PMC10486073 DOI: 10.1186/s13071-023-05936-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 08/16/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Aedes aegypti and Ae. albopictus are important human arbovirus vectors that can spread arboviral diseases such as yellow fever, dengue, chikungunya and Zika. These two mosquito species coexist on Hainan Island and the Leizhou Peninsula in China. Over the past 40 years, the distribution of Ae. albopictus in these areas has gradually expanded, while Ae. aegypti has declined sharply. Monitoring their genetic diversity and diffusion could help to explain the genetic influence behind this phenomenon and became key to controlling the epidemic of arboviruses. METHODS To better understand the genetic diversity and differentiation of these two mosquitoes, the possible cohabiting areas on Hainan Island and the Leizhou Peninsula were searched between July and October 2021, and five populations were collected. Respectively nine and 11 microsatellite loci were used for population genetic analysis of Ae. aegypti and Ae. albopictus. In addition, the mitochondrial coxI gene was also selected for analysis of both mosquito species. RESULTS The results showed that the mean diversity index (PIC and SI values) of Ae. albopictus (mean PIC = 0.754 and SI = 1.698) was higher than that of Ae. aegypti (mean PIC = 0.624 and SI = 1.264). The same results were also observed for the coxI gene: the genetic diversity of all populations of Ae. albopictus was higher than that of Ae. aegypti (total H = 45 and Hd = 0.89958 vs. total H = 23 and Hd = 0.76495, respectively). UPGMA dendrogram, DAPC and STRUCTURE analyses showed that Ae. aegypti populations were divided into three clusters and Ae. albopictus populations into two. The Mantel test indicated a significant positive correlation between genetic distance and geographic distance for the Ae. aegypti populations (R2 = 0.0611, P = 0.001), but the correlation was not significant for Ae. albopictus populations (R2 = 0.0011, P = 0.250). CONCLUSIONS The population genetic diversity of Ae. albopictus in Hainan Island and the Leizhou Peninsula was higher than that of Ae. aegypti. In terms of future vector control, the most important and effective measure was to control the spread of Ae. albopictus and monitor the population genetic dynamics of Ae. aegypti on Hainan Island and the Leizhou Peninsula, which could theoretically support the further elimination of Ae. aegypti in China.
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Affiliation(s)
- Minghui Zhao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- Jiangxi International Travel Healthcare Center, Nanchang, China
| | - Xin Ran
- Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, China
| | - Yu Bai
- Jiangxi International Travel Healthcare Center, Nanchang, China
| | - Zu Ma
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jian Gao
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Dan Xing
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Chunxiao Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Xiaoxia Guo
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Xianyi Jian
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Wei Liu
- Jiangxi International Travel Healthcare Center, Nanchang, China
| | - Yun Liao
- Jiangxi International Travel Healthcare Center, Nanchang, China
| | - Kan Chen
- Jiangxi International Travel Healthcare Center, Nanchang, China
| | - Hengduan Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
| | - Tongyan Zhao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
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9
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Luo H, Luo S, Fang W, Lin Q, Chen X, Zhou X. Genomic insight into the nocturnal adaptation of the black-crowned night heron (Nycticorax nycticorax). BMC Genomics 2022; 23:683. [PMID: 36192687 PMCID: PMC9531477 DOI: 10.1186/s12864-022-08904-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 09/20/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The black-crowned night heron (Nycticorax nycticorax) is an ardeid bird successfully adapted to the nocturnal environment. Previous studies had indicated that the eyes of the night herons have evolved several specialized morphological traits favoring nocturnal vision. However, the molecular mechanisms of the nocturnal vision adaptation of night herons remained inattentions. In this study, the whole genome of N. nycticorax was sequenced and comparative analyses were performed on the vision-related and olfactory receptor (OR) genes to understand the molecular mechanisms of the visual and olfactory adaptation of night herons. RESULTS The results indicated that a number of vision genes were under positive or relaxed selection in N. nycticorax, whereas a number of other vision genes were under relaxed or intensified selection in the boat-billed heron (Cochlearius cochlearius), which suggested that the two species adapt to nocturnality with different genetic mechanisms. The different selections acting on vision genes are probably associated with the enlargement of eye size and the enhancement of visual sensitivity in night herons. The analyses on olfactory receptor (OR) genes indicated that the total number of OR genes in the genomes of N. nycticorax and C. cochlearius were about half those in the little egret (Egretta garzetta), whereas the diversity of their OR genes was not remarkably different. Additionally, the number of expressed OR genes in the transcriptomes of N. nycticorax was also fewer than that in E. garzetta. These results suggest a reduced olfactory capability in night herons compared with E. garzetta. CONCLUSIONS Our results provided evidence that several vision genes of the night herons were subjected to different natural selections, which can contribute to a better understanding of the genetic mechanisms of visual adaptions of the night heron. In addition, the finding of the reduced number of total and expressed OR genes in night herons may reflect a trade-off between olfaction and vision.
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Affiliation(s)
- Haoran Luo
- Key Laboratory of Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, People's Republic of China
| | - Site Luo
- Key Laboratory of Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, People's Republic of China
| | - Wenzhen Fang
- Key Laboratory of Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, People's Republic of China
| | - Qingxian Lin
- Key Laboratory of Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, People's Republic of China
| | - Xiaolin Chen
- Key Laboratory of Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, People's Republic of China.
| | - Xiaoping Zhou
- Key Laboratory of Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, People's Republic of China.
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10
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Chen H, Huang M, Liu D, Tang H, Zheng S, Ouyang J, Zhang H, Wang L, Luo K, Gao Y, Wu Y, Wu Y, Xiong Y, Luo T, Huang Y, Xiong R, Ren J, Huang J, Yan X. Genomic signatures and evolutionary history of the endangered blue-crowned laughingthrush and other Garrulax species. BMC Biol 2022; 20:188. [PMID: 36002819 PMCID: PMC9400264 DOI: 10.1186/s12915-022-01390-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 08/12/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The blue-crowned laughingthrush (Garrulax courtoisi) is a critically endangered songbird endemic to Wuyuan, China, with population of ~323 individuals. It has attracted widespread attention, but the lack of a published genome has limited research and species protection. RESULTS We report two laughingthrush genome assemblies and reveal the taxonomic status of laughingthrush species among 25 common avian species according to the comparative genomic analysis. The blue-crowned laughingthrush, black-throated laughingthrush, masked laughingthrush, white-browed laughingthrush, and rusty laughingthrush showed a close genetic relationship, and they diverged from a common ancestor between ~2.81 and 12.31 million years ago estimated by the population structure and divergence analysis using 66 whole-genome sequencing birds from eight laughingthrush species and one out group (Cyanopica cyanus). Population inference revealed that the laughingthrush species experienced a rapid population decline during the last ice age and a serious bottleneck caused by a cold wave during the Chinese Song Dynasty (960-1279 AD). The blue-crowned laughingthrush is still in a bottleneck, which may be the result of a cold wave together with human exploitation. Interestingly, the existing blue-crowned laughingthrush exhibits extremely rich genetic diversity compared to other laughingthrushes. These genetic characteristics and demographic inference patterns suggest a genetic heritage of population abundance in the blue-crowned laughingthrush. The results also suggest that fewer deleterious mutations in the blue-crowned laughingthrush genomes have allowed them to thrive even with a small population size. We believe that cooperative breeding behavior and a long reproduction period may enable the blue-crowned laughingthrush to maintain genetic diversity and avoid inbreeding depression. We identified 43 short tandem repeats that can be used as markers to identify the sex of the blue-crowned laughingthrush and aid in its genetic conservation. CONCLUSIONS This study supplies the missing reference genome of laughingthrush, provides insight into the genetic variability, evolutionary potential, and molecular ecology of laughingthrush and provides a genomic resource for future research and conservation.
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Affiliation(s)
- Hao Chen
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Min Huang
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | | | - Hongbo Tang
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Sumei Zheng
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Jing Ouyang
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Hui Zhang
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Luping Wang
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Keyi Luo
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Yuren Gao
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Yongfei Wu
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Yan Wu
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Yanpeng Xiong
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Tao Luo
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Yuxuan Huang
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Rui Xiong
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Jun Ren
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Jianhua Huang
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China.
| | - Xueming Yan
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China.
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11
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Kim JA, Choi BS, Kim NS, Kang SG, Park JY, Yeo YG, Bae JH, Lee JH, Um T, Choi IY, An J. Whole-genome sequencing revealed different demographic histories among the Korean endemic hill pigeon (Columba rupestris), rock pigeon (Columba livia var. domestica) and oriental turtle dove (Streptopelia orientalis). Genes Genomics 2022; 44:1231-1242. [PMID: 35951153 DOI: 10.1007/s13258-022-01288-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 07/13/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND The family Columbidae is known as the pigeon family and contains approximately 351 species and 50 genera. Compared to the wealth of biological and genomic information on these Columba livia var. domesteca, information on Columba rupestris and Streptopelia orientalis has been rather limited. The C. rupestris population size is decreasing in Korea. OBJECTIVES Whole-genome sequencing and identification of population characterization of each species based genome variation on 9 Korean pigeon and dove samples, namely, six hill pigeon (C. rupestris), one rock pigeon (C. livia var. domestica) and two oriental turtle dove (S. orientalis) samples. RESULTS The whole genome of 9 genotypes were sequenced and mapped to the C. livia reference genome. Sequence alignment showed over 96% identity in C. rupestris and 94% identity in S. orientalis to the reference genome (GenBank assembly accession: GCA_001887795.1). Sequence variations, including single nucleotide polymorphisms (SNPs), insertions and deletions (InDels), and structural variations, revealed that intergenus (Columba vs. Streptopelia) variations were approximately four times higher than intragenus variations (C. livia vs. C. rupestris). Of the two Columba species, C. livia var. domestica is closer to S. orientalis than C. rupestris. Pairwise sequentially Markovian coalescent (PSMC) demographic history analysis revealed that the three species underwent a common population bottleneck between 105 and 120 Kya; since then, the effective population sizes of the rock pigeon and oriental turtle dove have increased. CONCLUSION The effective population size of the hill pigeon, an Endangered Species of Grade II in Korea, has increased slowly from the second severe bottleneck that occurred approximately 0.5-1.4 × 104 years ago. Our results showed no relationship between copy number variation in the Norrie disease protein (NDP) regulatory regions and plumage color patterns. We report the first comparative analysis of three pigeon genomes.
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Affiliation(s)
- Jung A Kim
- National Institute of Biological Resources, Incheon, Republic of Korea
| | - Beom-Soon Choi
- Research Institute, NBIT Co., Ltd., Chuncheon, Republic of Korea
| | - Nam-Soo Kim
- Research Institute, NBIT Co., Ltd., Chuncheon, Republic of Korea
| | - Seung-Gu Kang
- Research Center for Endangered Species, National Institute of Ecology, Yeongyang-gun, Republic of Korea
| | - Jin-Young Park
- National Institute of Biological Resources, Incheon, Republic of Korea
| | - Yong-Gu Yeo
- Conservation and Health Center, Seoul Zoo, Gwcheon, Republic of Korea
| | - Ju-Hee Bae
- Conservation and Health Center, Seoul Zoo, Gwcheon, Republic of Korea
| | - Ju-Hee Lee
- Conservation and Health Center, Seoul Zoo, Gwcheon, Republic of Korea
| | - Taeyoung Um
- Department of Agriculture and Life Industry, Kangwon National University, Chuncheon, Republic of Korea
| | - Ik-Young Choi
- Research Institute, NBIT Co., Ltd., Chuncheon, Republic of Korea. .,Department of Agriculture and Life Industry, Kangwon National University, Chuncheon, Republic of Korea.
| | - Junghwa An
- National Institute of Biological Resources, Incheon, Republic of Korea.
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12
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Wang P, Hou R, Wu Y, Zhang Z, Que P, Chen P. Genomic status of yellow-breasted bunting following recent rapid population decline. iScience 2022; 25:104501. [PMID: 35733787 PMCID: PMC9207672 DOI: 10.1016/j.isci.2022.104501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 05/04/2022] [Accepted: 05/26/2022] [Indexed: 12/03/2022] Open
Abstract
Global biodiversity is facing serious threats. However, knowledge of the genomic consequences of recent rapid population declines of wild organisms is limited. Do populations experiencing recent rapid population decline have the same genomic status as wild populations that experience long-term declines? Yellow-breasted Bunting (Emberiza aureola) is a critically endangered species that has been experiencing a recent rapid population decline. To answer the question, we assembled and annotated the whole genome of Yellow-breasted Bunting. Furthermore, we found high genetic diversity, low linkage disequilibrium, and low proportion of long runs of homozygosity in Yellow-breasted Bunting, suggesting that the populations following recent rapid declines have different genomic statuses from the population that experienced long-term population decline.
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Affiliation(s)
- Pengcheng Wang
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing 210023, P. R. China
| | - Rong Hou
- Chengdu Research Base of Giant Panda Breeding, Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu, 610081, P. R. China
| | - Yang Wu
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing 100875, P. R. China
| | - Zhengwang Zhang
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing 100875, P. R. China
| | - Pinjia Que
- Chengdu Research Base of Giant Panda Breeding, Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu, 610081, P. R. China
- Sichuan Academy of Giant Panda, Chengdu 610086, P. R. China
| | - Peng Chen
- Chengdu Research Base of Giant Panda Breeding, Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu, 610081, P. R. China
- Sichuan Academy of Giant Panda, Chengdu 610086, P. R. China
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13
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Li SH, Liu Y, Yeh CF, Fu Y, Yeung CKL, Lee CC, Chiu CC, Kuo TH, Chan FT, Chen YC, Ko WY, Yao CT. Not out of the woods yet: Signatures of the prolonged negative genetic consequences of a population bottleneck in a rapidly re-expanding wader, the black-faced spoonbill Platalea minor. Mol Ecol 2021; 31:529-545. [PMID: 34726290 DOI: 10.1111/mec.16260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/27/2021] [Accepted: 10/20/2021] [Indexed: 11/30/2022]
Abstract
The long-term persistence of a population which has suffered a bottleneck partly depends on how historical demographic dynamics impacted its genetic diversity and the accumulation of deleterious mutations. Here we provide genomic evidence for the genetic effect of a recent population bottleneck in the endangered black-faced spoonbill (Platalea minor) after its rapid population recovery. Our data suggest that the bird's effective population size, Ne , had been relatively stable (7500-9000) since 22,000 years ago; however, a recent brief yet severe bottleneck (Ne = 20) which we here estimated to occur around the 1940s wiped out >99% of its historical Ne in roughly three generations. Despite a >15-fold population recovery since 1988, we found that black-faced spoonbill population has higher levels of inbreeding (7.4 times more runs of homozygosity) than its sister species, the royal spoonbill (P. regia), which is not thought to have undergone a marked population contraction. Although the two spoonbills have similar levels of genome-wide genetic diversity, our results suggest that selection on more genes was relaxed in the black-faced spoonbill; moreover individual black-faced spoonbills carry more putatively deleterious mutations (Grantham's score > 50), and may therefore express more deleterious phenotypic effects than royal spoonbills. Here we demonstrate the value of using genomic indices to monitor levels of genetic erosion, inbreeding and mutation load in species with conservation concerns. To mitigate the prolonged negative genetic effect of a population bottleneck, we recommend that all possible measures should be employed to maintain population growth of a threatened species.
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Affiliation(s)
- Shou-Hsien Li
- School of Life Science, National Taiwan Normal University, Taipei, Taiwan
| | - Yang Liu
- State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-Sen University, Guangzhou, China
| | - Chia-Fen Yeh
- School of Life Science, National Taiwan Normal University, Taipei, Taiwan
| | - Yuchen Fu
- School of Life Science, National Taiwan Normal University, Taipei, Taiwan
| | | | - Chun-Cheng Lee
- School of Life Science, National Taiwan Normal University, Taipei, Taiwan
| | - Chi-Cheng Chiu
- School of Life Science, National Taiwan Normal University, Taipei, Taiwan
| | | | - Fang-Tse Chan
- Division of Zoology, Taiwan Endemic Species Research Institute, Nantou, Taiwan
| | - Yu-Chia Chen
- Department of Life Sciences, National Yanming Medical University, Taipei, Taiwan
| | - Wen-Ya Ko
- Department of Life Sciences, National Yanming Medical University, Taipei, Taiwan
| | - Cheng-Te Yao
- High Altitude Research Station, Taiwan Endemic Species Research Institute, Nantou, Taiwan
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14
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Wold J, Koepfli KP, Galla SJ, Eccles D, Hogg CJ, Le Lec MF, Guhlin J, Santure AW, Steeves TE. Expanding the conservation genomics toolbox: Incorporating structural variants to enhance genomic studies for species of conservation concern. Mol Ecol 2021; 30:5949-5965. [PMID: 34424587 PMCID: PMC9290615 DOI: 10.1111/mec.16141] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 07/28/2021] [Accepted: 08/18/2021] [Indexed: 12/28/2022]
Abstract
Structural variants (SVs) are large rearrangements (>50 bp) within the genome that impact gene function and the content and structure of chromosomes. As a result, SVs are a significant source of functional genomic variation, that is, variation at genomic regions underpinning phenotype differences, that can have large effects on individual and population fitness. While there are increasing opportunities to investigate functional genomic variation in threatened species via single nucleotide polymorphism (SNP) data sets, SVs remain understudied despite their potential influence on fitness traits of conservation interest. In this future-focused Opinion, we contend that characterizing SVs offers the conservation genomics community an exciting opportunity to complement SNP-based approaches to enhance species recovery. We also leverage the existing literature-predominantly in human health, agriculture and ecoevolutionary biology-to identify approaches for readily characterizing SVs and consider how integrating these into the conservation genomics toolbox may transform the way we manage some of the world's most threatened species.
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Affiliation(s)
- Jana Wold
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Klaus-Peter Koepfli
- Smithsonian-Mason School of Conservation, Front Royal, Virginia, USA.,Centre for Species Survival, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, District of Columbia, USA.,Computer Technologies Laboratory, ITMO University, Saint Petersburg, Russia
| | - Stephanie J Galla
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand.,Department of Biological Sciences, Boise State University, Boise, Idaho, USA
| | - David Eccles
- Malaghan Institute of Medical Research, Wellington, New Zealand
| | - Carolyn J Hogg
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Marissa F Le Lec
- Department of Biochemistry, University of Otago, Dunedin, Otago, New Zealand
| | - Joseph Guhlin
- Department of Biochemistry, University of Otago, Dunedin, Otago, New Zealand.,Genomics Aotearoa, Dunedin, Otago, New Zealand
| | - Anna W Santure
- School of Biological Sciences, The University of Auckland, Auckland, New Zealand
| | - Tammy E Steeves
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
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15
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Zou D, Tian S, Zhang T, Zhuoma N, Wu G, Wang M, Dong L, Rossiter SJ, Zhao H. Vulture Genomes Reveal Molecular Adaptations Underlying Obligate Scavenging and Low Levels of Genetic Diversity. Mol Biol Evol 2021; 38:3649-3663. [PMID: 33944941 PMCID: PMC8382910 DOI: 10.1093/molbev/msab130] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Obligate scavenging on the dead and decaying animal matter is a rare dietary specialization that in extant vertebrates is restricted to vultures. These birds perform essential ecological services, yet many vulture species have undergone recent steep population declines and are now endangered. To test for molecular adaptations underlying obligate scavenging in vultures, and to assess whether genomic features might have contributed to their population declines, we generated high-quality genomes of the Himalayan and bearded vultures, representing both independent origins of scavenging within the Accipitridae, alongside a sister taxon, the upland buzzard. By comparing our data to published sequences from other birds, we show that the evolution of obligate scavenging in vultures has been accompanied by widespread positive selection acting on genes underlying gastric acid production, and immunity. Moreover, we find evidence of parallel molecular evolution, with amino acid replacements shared among divergent lineages of these scavengers. Our genome-wide screens also reveal that both the Himalayan and bearded vultures exhibit low levels of genetic diversity, equating to around a half of the mean genetic diversity of other bird genomes examined. However, demographic reconstructions indicate that population declines began at around the Last Glacial Maximum, predating the well-documented dramatic declines of the past three decades. Taken together, our genomic analyses imply that vultures harbor unique adaptations for processing carrion, but that modern populations are genetically depauperate and thus especially vulnerable to further genetic erosion through anthropogenic activities.
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Affiliation(s)
- Dahu Zou
- Department of Ecology, Tibetan Centre for Ecology and Conservation at WHU-TU, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China
| | - Shilin Tian
- Department of Ecology, Tibetan Centre for Ecology and Conservation at WHU-TU, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China
| | - Tongzuo Zhang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Nima Zhuoma
- Research Center for Ecology, College of Science, Tibet University, Lhasa, China
| | - Guosheng Wu
- Xining Wildlife Park of Qinghai Province, Xining, China
| | - Muyang Wang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
| | - Lu Dong
- Ministry of Education Key Laboratory for Biodiversity and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Stephen J Rossiter
- School of Biological and Chemical Sciences, Queen Mary University of London, London, United Kingdom
| | - Huabin Zhao
- Department of Ecology, Tibetan Centre for Ecology and Conservation at WHU-TU, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China
- Research Center for Ecology, College of Science, Tibet University, Lhasa, China
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16
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Mathur S, DeWoody JA. Genetic load has potential in large populations but is realized in small inbred populations. Evol Appl 2021; 14:1540-1557. [PMID: 34178103 PMCID: PMC8210801 DOI: 10.1111/eva.13216] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 02/25/2021] [Accepted: 03/02/2021] [Indexed: 12/20/2022] Open
Abstract
Populations with higher genetic diversity and larger effective sizes have greater evolutionary capacity (i.e., adaptive potential) to respond to ecological stressors. We are interested in how the variation captured in protein-coding genes fluctuates relative to overall genomic diversity and whether smaller populations suffer greater costs due to their genetic load of deleterious mutations compared with larger populations. We analyzed individual whole-genome sequences (N = 74) from three different populations of Montezuma quail (Cyrtonyx montezumae), a small ground-dwelling bird that is sustainably harvested in some portions of its range but is of conservation concern elsewhere. Our historical demographic results indicate that Montezuma quail populations in the United States exhibit low levels of genomic diversity due in large part to long-term declines in effective population sizes over nearly a million years. The smaller and more isolated Texas population is significantly more inbred than the large Arizona and the intermediate-sized New Mexico populations we surveyed. The Texas gene pool has a significantly smaller proportion of strongly deleterious variants segregating in the population compared with the larger Arizona gene pool. Our results demonstrate that even in small populations, highly deleterious mutations are effectively purged and/or lost due to drift. However, we find that in small populations the realized genetic load is elevated because of inbreeding coupled with a higher frequency of slightly deleterious mutations that are manifested in homozygotes. Overall, our study illustrates how population genomics can be used to proactively assess both neutral and functional aspects of contemporary genetic diversity in a conservation framework while simultaneously considering deeper demographic histories.
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Affiliation(s)
- Samarth Mathur
- Department of Biological SciencesPurdue UniversityWest LafayetteIndianaUSA
- Present address:
Department of Evolution, Ecology and Organismal BiologyThe Ohio State UniversityColumbusOhioUSA
| | - J. Andrew DeWoody
- Department of Biological SciencesPurdue UniversityWest LafayetteIndianaUSA
- Department of Forestry and Natural ResourcesPurdue UniversityWest LafayetteIndianaUSA
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17
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Campana MG, Corvelo A, Shelton J, Callicrate TE, Bunting KL, Riley-Gillis B, Wos F, DeGrazia J, Jarvis ED, Fleischer RC. Adaptive Radiation Genomics of Two Ecologically Divergent Hawai'ian Honeycreepers: The 'akiapōlā'au and the Hawai'i 'amakihi. J Hered 2021; 111:21-32. [PMID: 31723957 DOI: 10.1093/jhered/esz057] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 09/30/2019] [Indexed: 12/14/2022] Open
Abstract
The Hawai'ian honeycreepers (drepanids) are a classic example of adaptive radiation: they adapted to a variety of novel dietary niches, evolving a wide range of bill morphologies. Here we investigated genomic diversity, demographic history, and genes involved in bill morphology phenotypes in 2 honeycreepers: the 'akiapōlā'au (Hemignathus wilsoni) and the Hawai'i 'amakihi (Chlorodrepanis virens). The 'akiapōlā'au is an endangered island endemic, filling the "woodpecker" niche by using a unique bill morphology, while the Hawai'i 'amakihi is a dietary generalist common on the islands of Hawai'i and Maui. We de novo sequenced the 'akiapōlā'au genome and compared it to the previously sequenced 'amakihi genome. The 'akiapōlā'au is far less heterozygous and has a smaller effective population size than the 'amakihi, which matches expectations due to its smaller census population and restricted ecological niche. Our investigation revealed genomic islands of divergence, which may be involved in the honeycreeper radiation. Within these islands of divergence, we identified candidate genes (including DLK1, FOXB1, KIF6, MAML3, PHF20, RBP1, and TIMM17A) that may play a role in honeycreeper adaptations. The gene DLK1, previously shown to influence Darwin's finch bill size, may be related to honeycreeper bill morphology evolution, while the functions of the other candidates remain unknown.
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Affiliation(s)
- Michael G Campana
- Center for Conservation Genomics, Smithsonian National Zoo and Conservation Biology Institute, Washington, DC
| | | | | | - Taylor E Callicrate
- Center for Conservation Genomics, Smithsonian National Zoo and Conservation Biology Institute, Washington, DC.,Species Conservation Toolkit Initiative, Chicago Zoological Society, Brookfield, IL
| | | | | | - Frank Wos
- New York Genome Center, New York, NY
| | | | - Erich D Jarvis
- The Rockefeller University, New York, NY.,Howard Hughes Medical Institute, Chevy Chase, MD
| | - Robert C Fleischer
- Center for Conservation Genomics, Smithsonian National Zoo and Conservation Biology Institute, Washington, DC
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18
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Martini D, Dussex N, Robertson BC, Gemmell NJ, Knapp M. Evolution of the "world's only alpine parrot": Genomic adaptation or phenotypic plasticity, behaviour and ecology? Mol Ecol 2021; 30:6370-6386. [PMID: 33973288 DOI: 10.1111/mec.15978] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 04/19/2021] [Accepted: 04/28/2021] [Indexed: 02/06/2023]
Abstract
Climate warming, in particular in island environments, where opportunities for species to disperse are limited, may become a serious threat to cold adapted alpine species. In order to understand how alpine species may respond to a warming world, we need to understand the drivers that have shaped their habitat specialisation and the evolutionary adaptations that allow them to utilize alpine habitats. The endemic, endangered New Zealand kea (Nestor notabilis) is considered the only alpine parrot in the world. As a species commonly found in the alpine zone it may be highly susceptible to climate warming. But is it a true alpine specialist? Is its evolution driven by adaptation to the alpine zone, or is the kea an open habitat generalist that simply uses the alpine zone to, for example, avoid lower lying anthropogenic landscapes? We use whole genome data of the kea and its close, forest adapted sister species, the kākā (Nestor meridionalis) to reconstruct the evolutionary history of both species and identify the functional genomic differences that underlie their habitat specialisations. Our analyses do not identify major functional genomic differences between kea and kākā in pathways associated with high-altitude. Rather, we found evidence that selective pressures on adaptations commonly found in alpine species are present in both Nestor species, suggesting that selection for alpine adaptations has not driven their divergence. Strongly divergent demographic responses to past climate warming between the species nevertheless highlight potential future threats to kea survival in a warming world.
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Affiliation(s)
- Denise Martini
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Nicolas Dussex
- Centre for Palaeogenetics, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Department of Zoology, Stockholm University, Stockholm, Sweden
| | | | - Neil J Gemmell
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Michael Knapp
- Department of Anatomy, University of Otago, Dunedin, New Zealand
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Rhie A, McCarthy SA, Fedrigo O, Damas J, Formenti G, Koren S, Uliano-Silva M, Chow W, Fungtammasan A, Kim J, Lee C, Ko BJ, Chaisson M, Gedman GL, Cantin LJ, Thibaud-Nissen F, Haggerty L, Bista I, Smith M, Haase B, Mountcastle J, Winkler S, Paez S, Howard J, Vernes SC, Lama TM, Grutzner F, Warren WC, Balakrishnan CN, Burt D, George JM, Biegler MT, Iorns D, Digby A, Eason D, Robertson B, Edwards T, Wilkinson M, Turner G, Meyer A, Kautt AF, Franchini P, Detrich HW, Svardal H, Wagner M, Naylor GJP, Pippel M, Malinsky M, Mooney M, Simbirsky M, Hannigan BT, Pesout T, Houck M, Misuraca A, Kingan SB, Hall R, Kronenberg Z, Sović I, Dunn C, Ning Z, Hastie A, Lee J, Selvaraj S, Green RE, Putnam NH, Gut I, Ghurye J, Garrison E, Sims Y, Collins J, Pelan S, Torrance J, Tracey A, Wood J, Dagnew RE, Guan D, London SE, Clayton DF, Mello CV, Friedrich SR, Lovell PV, Osipova E, Al-Ajli FO, Secomandi S, Kim H, Theofanopoulou C, Hiller M, Zhou Y, Harris RS, Makova KD, Medvedev P, Hoffman J, Masterson P, Clark K, Martin F, Howe K, Flicek P, Walenz BP, Kwak W, Clawson H, Diekhans M, Nassar L, Paten B, Kraus RHS, Crawford AJ, Gilbert MTP, Zhang G, Venkatesh B, Murphy RW, Koepfli KP, Shapiro B, Johnson WE, Di Palma F, Marques-Bonet T, Teeling EC, Warnow T, Graves JM, Ryder OA, Haussler D, O'Brien SJ, Korlach J, Lewin HA, Howe K, Myers EW, Durbin R, Phillippy AM, Jarvis ED. Towards complete and error-free genome assemblies of all vertebrate species. Nature 2021; 592:737-746. [PMID: 33911273 PMCID: PMC8081667 DOI: 10.1038/s41586-021-03451-0] [Citation(s) in RCA: 824] [Impact Index Per Article: 274.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 03/12/2021] [Indexed: 02/02/2023]
Abstract
High-quality and complete reference genome assemblies are fundamental for the application of genomics to biology, disease, and biodiversity conservation. However, such assemblies are available for only a few non-microbial species1-4. To address this issue, the international Genome 10K (G10K) consortium5,6 has worked over a five-year period to evaluate and develop cost-effective methods for assembling highly accurate and nearly complete reference genomes. Here we present lessons learned from generating assemblies for 16 species that represent six major vertebrate lineages. We confirm that long-read sequencing technologies are essential for maximizing genome quality, and that unresolved complex repeats and haplotype heterozygosity are major sources of assembly error when not handled correctly. Our assemblies correct substantial errors, add missing sequence in some of the best historical reference genomes, and reveal biological discoveries. These include the identification of many false gene duplications, increases in gene sizes, chromosome rearrangements that are specific to lineages, a repeated independent chromosome breakpoint in bat genomes, and a canonical GC-rich pattern in protein-coding genes and their regulatory regions. Adopting these lessons, we have embarked on the Vertebrate Genomes Project (VGP), an international effort to generate high-quality, complete reference genomes for all of the roughly 70,000 extant vertebrate species and to help to enable a new era of discovery across the life sciences.
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Affiliation(s)
- Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shane A McCarthy
- Department of Genetics, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Cambridge, UK
| | - Olivier Fedrigo
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
| | - Joana Damas
- The Genome Center, University of California Davis, Davis, CA, USA
| | - Giulio Formenti
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marcela Uliano-Silva
- Leibniz Institute for Zoo and Wildlife Research, Department of Evolutionary Genetics, Berlin, Germany
- Berlin Center for Genomics in Biodiversity Research, Berlin, Germany
| | | | | | - Juwan Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Chul Lee
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Byung June Ko
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Mark Chaisson
- University of Southern California, Los Angeles, CA, USA
| | - Gregory L Gedman
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Lindsey J Cantin
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Francoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD, USA
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Iliana Bista
- Department of Genetics, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Cambridge, UK
| | | | - Bettina Haase
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
| | | | - Sylke Winkler
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- DRESDEN-concept Genome Center, Dresden, Germany
| | - Sadye Paez
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | | | - Sonja C Vernes
- Neurogenetics of Vocal Communication Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
- School of Biology, University of St Andrews, St Andrews, UK
| | - Tanya M Lama
- University of Massachusetts Cooperative Fish and Wildlife Research Unit, Amherst, MA, USA
| | - Frank Grutzner
- School of Biological Science, The Environment Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Wesley C Warren
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | | | - Dave Burt
- UQ Genomics, University of Queensland, Brisbane, Queensland, Australia
| | - Julia M George
- Department of Biological Sciences, Clemson University, Clemson, SC, USA
| | - Matthew T Biegler
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - David Iorns
- The Genetic Rescue Foundation, Wellington, New Zealand
| | - Andrew Digby
- Kākāpō Recovery, Department of Conservation, Invercargill, New Zealand
| | - Daryl Eason
- Kākāpō Recovery, Department of Conservation, Invercargill, New Zealand
| | - Bruce Robertson
- Department of Zoology, University of Otago, Dunedin, New Zealand
| | | | - Mark Wilkinson
- Department of Life Sciences, Natural History Museum, London, UK
| | - George Turner
- School of Natural Sciences, Bangor University, Gwynedd, UK
| | - Axel Meyer
- Department of Biology, University of Konstanz, Konstanz, Germany
| | - Andreas F Kautt
- Department of Biology, University of Konstanz, Konstanz, Germany
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Paolo Franchini
- Department of Biology, University of Konstanz, Konstanz, Germany
| | - H William Detrich
- Department of Marine and Environmental Sciences, Northeastern University Marine Science Center, Nahant, MA, USA
| | - Hannes Svardal
- Department of Biology, University of Antwerp, Antwerp, Belgium
- Naturalis Biodiversity Center, Leiden, The Netherlands
| | - Maximilian Wagner
- Institute of Biology, Karl-Franzens University of Graz, Graz, Austria
| | - Gavin J P Naylor
- Florida Museum of Natural History, University of Florida, Gainesville, FL, USA
| | - Martin Pippel
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- Center for Systems Biology, Dresden, Germany
| | - Milan Malinsky
- Wellcome Sanger Institute, Cambridge, UK
- Zoological Institute, University of Basel, Basel, Switzerland
| | | | | | | | - Trevor Pesout
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | | | | | | | | | | | - Ivan Sović
- Pacific Biosciences, Menlo Park, CA, USA
- Digital BioLogic, Ivanić-Grad, Croatia
| | | | - Zemin Ning
- Wellcome Sanger Institute, Cambridge, UK
| | | | - Joyce Lee
- Bionano Genomics, San Diego, CA, USA
| | | | - Richard E Green
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
- Dovetail Genomics, Santa Cruz, CA, USA
| | | | - Ivo Gut
- CNAG-CRG, Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Jay Ghurye
- Dovetail Genomics, Santa Cruz, CA, USA
- Department of Computer Science, University of Maryland College Park, College Park, MD, USA
| | - Erik Garrison
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Ying Sims
- Wellcome Sanger Institute, Cambridge, UK
| | | | | | | | | | | | | | - Dengfeng Guan
- Department of Genetics, University of Cambridge, Cambridge, UK
- School of Computer Science and Technology, Center for Bioinformatics, Harbin Institute of Technology, Harbin, China
| | - Sarah E London
- Department of Psychology, Institute for Mind and Biology, University of Chicago, Chicago, IL, USA
| | - David F Clayton
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC, USA
| | - Claudio V Mello
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA
| | - Samantha R Friedrich
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA
| | - Peter V Lovell
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA
| | - Ekaterina Osipova
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- Center for Systems Biology, Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, Dresden, Germany
| | - Farooq O Al-Ajli
- Monash University Malaysia Genomics Facility, School of Science, Selangor Darul Ehsan, Malaysia
- Tropical Medicine and Biology Multidisciplinary Platform, Monash University Malaysia, Selangor Darul Ehsan, Malaysia
- Qatar Falcon Genome Project, Doha, Qatar
| | | | - Heebal Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
- eGnome, Inc., Seoul, Republic of Korea
| | | | - Michael Hiller
- LOEWE Centre for Translational Biodiversity Genomics, Frankfurt, Germany
- Senckenberg Research Institute, Frankfurt, Germany
- Goethe-University, Faculty of Biosciences, Frankfurt, Germany
| | | | - Robert S Harris
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Kateryna D Makova
- Department of Biology, Pennsylvania State University, University Park, PA, USA
- Center for Medical Genomics, Pennsylvania State University, University Park, PA, USA
- Center for Computational Biology and Bioinformatics, Pennsylvania State University, University Park, PA, USA
| | - Paul Medvedev
- Center for Medical Genomics, Pennsylvania State University, University Park, PA, USA
- Center for Computational Biology and Bioinformatics, Pennsylvania State University, University Park, PA, USA
- Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Jinna Hoffman
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD, USA
| | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD, USA
| | - Karen Clark
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD, USA
| | - Fergal Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Kevin Howe
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Brian P Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Woori Kwak
- eGnome, Inc., Seoul, Republic of Korea
- Hoonygen, Seoul, Korea
| | - Hiram Clawson
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Luis Nassar
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Robert H S Kraus
- Department of Biology, University of Konstanz, Konstanz, Germany
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany
| | - Andrew J Crawford
- Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia
| | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- University Museum, NTNU, Trondheim, Norway
| | - Guojie Zhang
- China National Genebank, BGI-Shenzhen, Shenzhen, China
- Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Byrappa Venkatesh
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore, Singapore
| | - Robert W Murphy
- Centre for Biodiversity, Royal Ontario Museum, Toronto, Ontario, Canada
| | - Klaus-Peter Koepfli
- Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Washington, DC, USA
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Warren E Johnson
- Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Washington, DC, USA
- The Walter Reed Biosystematics Unit, Museum Support Center MRC-534, Smithsonian Institution, Suitland, MD, USA
- Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Federica Di Palma
- Department of Biological Sciences, Earlham Institute, University of East Anglia, Norwich, UK
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Emma C Teeling
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
| | - Tandy Warnow
- Department of Computer Science, The University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | | | - Oliver A Ryder
- San Diego Zoo Global, Escondido, CA, USA
- Department of Evolution, Behavior, and Ecology, University of California San Diego, La Jolla, CA, USA
| | - David Haussler
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Stephen J O'Brien
- Laboratory of Genomics Diversity-Center for Computer Technologies, ITMO University, St. Petersburg, Russian Federation
- Guy Harvey Oceanographic Center, Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Fort Lauderdale, FL, USA
| | | | - Harris A Lewin
- The Genome Center, University of California Davis, Davis, CA, USA
- Department of Evolution and Ecology, University of California Davis, Davis, CA, USA
- John Muir Institute for the Environment, University of California Davis, Davis, CA, USA
| | | | - Eugene W Myers
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
- Center for Systems Biology, Dresden, Germany.
- Faculty of Computer Science, Technical University Dresden, Dresden, Germany.
| | - Richard Durbin
- Department of Genetics, University of Cambridge, Cambridge, UK.
- Wellcome Sanger Institute, Cambridge, UK.
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Erich D Jarvis
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA.
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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Abstract
Birds are one of the most recognizable and diverse groups of organisms on earth. This group has played an important role in many fields, including the development of methods in behavioral ecology and evolutionary theory. The use of population genomics took off following the advent of high-throughput sequencing in various taxa. Several features of avian genomes make them particularly amenable for work in this field, including their nucleated red blood cells permitting easy DNA extraction and small, compact genomes. We review the latest findings in the population genomics of birds here, emphasizing questions related to behavior, ecology, evolution, and conservation. Additionally, we include insights in trait mapping and the ability to obtain accurate estimates of important summary statistics for conservation (e.g., genetic diversity and inbreeding). We highlight roadblocks that will need to be overcome in order to advance work on the population genomics of birds and prospects for future work. Roadblocks include the assembly of more contiguous reference genomes using long-reads and optical mapping. Prospects include the integration of population genomics with additional fields (e.g., landscape genetics, phylogeography, and genomic mapping) along with studies beyond genetic variants (e.g., epigenetics).
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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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Sun L, Zhou T, Wan QH, Fang SG. Transcriptome Comparison Reveals Key Components of Nuptial Plumage Coloration in Crested Ibis. Biomolecules 2020; 10:E905. [PMID: 32549189 PMCID: PMC7356354 DOI: 10.3390/biom10060905] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 06/02/2020] [Accepted: 06/13/2020] [Indexed: 11/16/2022] Open
Abstract
Nuptial plumage coloration is critical in the mating choice of the crested ibis. This species has a characteristic nuptial plumage that develops from the application of a black sticky substance, secreted by a patch of skin in the throat and neck region. We aimed to identify the genes regulating its coloring, by comparing skin transcriptomes between ibises during the breeding and nonbreeding seasons. In breeding season skins, key eumelanin synthesis genes, TYR, DCT, and TYRP1 were upregulated. Tyrosine metabolism, which is closely related to melanin synthesis, was also upregulated, as were transporter proteins belonging to multiple SLC families, which might act during melanosome transportation to keratinocytes. These results indicate that eumelanin is likely an important component of the black substance. In addition, we observed upregulation in lipid metabolism in breeding season skins. We suggest that the lipids contribute to an oil base, which imbues the black substance with water insolubility and enhances its adhesion to feather surfaces. In nonbreeding season skins, we observed upregulation in cell adhesion molecules, which play critical roles in cell interactions. A number of molecules involved in innervation and angiogenesis were upregulated, indicating an ongoing expansion of nerves and blood vessels in sampled skins. Feather β keratin, a basic component of avian feather filament, was also upregulated. These results are consistent with feather regeneration in the black skin of nonbreeding season ibises. Our results provide the first molecular evidence indicating that eumelanin is the key component of ibis coloration.
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Affiliation(s)
| | | | | | - Sheng-Guo Fang
- MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China; (L.S.); (T.Z.); (Q.-H.W.)
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23
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Wang W, Wang F, Hao R, Wang A, Sharshov K, Druzyaka A, Lancuo Z, Shi Y, Feng S. First de novo whole genome sequencing and assembly of the bar-headed goose. PeerJ 2020; 8:e8914. [PMID: 32292659 PMCID: PMC7144584 DOI: 10.7717/peerj.8914] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 03/15/2020] [Indexed: 12/23/2022] Open
Abstract
Background The bar-headed goose (Anser indicus) mainly inhabits the plateau wetlands of Asia. As a specialized high-altitude species, bar-headed geese can migrate between South and Central Asia and annually fly twice over the Himalayan mountains along the central Asian flyway. The physiological, biochemical and behavioral adaptations of bar-headed geese to high-altitude living and flying have raised much interest. However, to date, there is still no genome assembly information publicly available for bar-headed geese. Methods In this study, we present the first de novo whole genome sequencing and assembly of the bar-headed goose, along with gene prediction and annotation. Results 10X Genomics sequencing produced a total of 124 Gb sequencing data, which can cover the estimated genome size of bar-headed goose for 103 times (average coverage). The genome assembly comprised 10,528 scaffolds, with a total length of 1.143 Gb and a scaffold N50 of 10.09 Mb. Annotation of the bar-headed goose genome assembly identified a total of 102 Mb (8.9%) of repetitive sequences, 16,428 protein-coding genes, and 282 tRNAs. In total, we determined that there were 63 expanded and 20 contracted gene families in the bar-headed goose compared with the other 15 vertebrates. We also performed a positive selection analysis between the bar-headed goose and the closely related low-altitude goose, swan goose (Anser cygnoides), to uncover its genetic adaptations to the Qinghai-Tibetan Plateau. Conclusion We reported the currently most complete genome sequence of the bar-headed goose. Our assembly will provide a valuable resource to enhance further studies of the gene functions of bar-headed goose. The data will also be valuable for facilitating studies of the evolution, population genetics and high-altitude adaptations of the bar-headed geese at the genomic level.
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Affiliation(s)
- Wen Wang
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xi'ning, Qinghai, China
| | - Fang Wang
- Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xi'ning, Qinghai, China
| | - Rongkai Hao
- Novogene Bioinformatics Institute, Beijing, China
| | - Aizhen Wang
- College of Eco-Environmental Engineering, Qinghai University, Xi'ning, Qinghai, China
| | - Kirill Sharshov
- Research Institute of Experimental and Clinical Medicine, Novosibirsk, Russia
| | - Alexey Druzyaka
- Institute of Systematics and Ecology of Animals, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Zhuoma Lancuo
- School of Finance and Economics, Qinghai University, Xi'ning, Qinghai, China
| | - Yuetong Shi
- KunLun College of Qinghai University, Xi'ning, Qinghai, China
| | - Shuo Feng
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xi'ning, Qinghai, China
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24
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Li C, Huang R, Nie F, Li J, Zhu W, Shi X, Guo Y, Chen Y, Wang S, Zhang L, Chen L, Li R, Liu X, Zheng C, Zhang C, Ma RZ. Organization of the Addax Major Histocompatibility Complex Provides Insights Into Ruminant Evolution. Front Immunol 2020; 11:260. [PMID: 32161588 PMCID: PMC7053375 DOI: 10.3389/fimmu.2020.00260] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 01/31/2020] [Indexed: 12/22/2022] Open
Abstract
Ruminants are critical as prey in transferring solar energy fixed by plants into carnivorous species, yet the genetic signature of the driving forces leading to the evolutionary success of the huge number of ruminant species remains largely unknown. Here we report a complete DNA map of the major histocompatibility complex (MHC) of the addax (Addax nasomaculatus) genome by sequencing a total of 47 overlapping BAC clones previously mapped to cover the MHC region. The addax MHC is composed of 3,224,151 nucleotides, harboring a total of 150 coding genes, 50 tRNA genes, and 14 non-coding RNA genes. The organization of addax MHC was found to be highly conserved to those of sheep and cattle, highlighted by a large piece of chromosome inversion that divided the MHC class II into IIa and IIb subregions. It is now highly possible that all of the ruminant species in the family of Bovidae carry the same chromosome inversion in the MHC region, inherited from a common ancestor of ruminants. Phylogenetic analysis indicated that DY, a ruminant-specific gene located at the boundary of the inversion and highly expressed in dendritic cells, was possibly evolved from DQ, with an estimated divergence time ~140 million years ago. Homology modeling showed that the overall predicted structure of addax DY was similar to that of HLA-DQ2. However, the pocket properties of P1, P4, P6, and P9, which were critical for antigen binding in the addax DY, showed certain distinctive features. Structural analysis suggested that the populations of peptide antigens presented by addax DY and HLA-DQ2 were quite diverse, which in theory could serve to promote microbial regulation in the rumen by ruminant species, contributing to enhanced grass utilization ability. In summary, the results of our study helped to enhance our understanding of the MHC evolution and provided additional supportive evidence to our previous hypothesis that an ancient chromosome inversion in the MHC region of the last common ancestor of ruminants may have contributed to the evolutionary success of current ruminants on our planet.
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Affiliation(s)
- Chaokun Li
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.,State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Rui Huang
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.,State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Fangyuan Nie
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.,State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Jiujie Li
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Wen Zhu
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoqian Shi
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.,State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yu Guo
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.,State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yan Chen
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Shiyu Wang
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Limeng Zhang
- Molecular Biology Laboratory of Zhengzhou Normal University, Zhengzhou, China
| | - Longxin Chen
- Molecular Biology Laboratory of Zhengzhou Normal University, Zhengzhou, China
| | - Runting Li
- Molecular Biology Laboratory of Zhengzhou Normal University, Zhengzhou, China
| | - Xuefeng Liu
- Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, China
| | - Changming Zheng
- Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, China
| | - Chenglin Zhang
- Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, China
| | - Runlin Z Ma
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.,State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.,Molecular Biology Laboratory of Zhengzhou Normal University, Zhengzhou, China
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25
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Lucena-Perez M, Marmesat E, Kleinman-Ruiz D, Martínez-Cruz B, Węcek K, Saveljev AP, Seryodkin IV, Okhlopkov I, Dvornikov MG, Ozolins J, Galsandorj N, Paunovic M, Ratkiewicz M, Schmidt K, Godoy JA. Genomic patterns in the widespread Eurasian lynx shaped by Late Quaternary climatic fluctuations and anthropogenic impacts. Mol Ecol 2020; 29:812-828. [PMID: 31995648 PMCID: PMC7064982 DOI: 10.1111/mec.15366] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Revised: 12/27/2019] [Accepted: 01/16/2020] [Indexed: 12/28/2022]
Abstract
Disentangling the contribution of long-term evolutionary processes and recent anthropogenic impacts to current genetic patterns of wildlife species is key to assessing genetic risks and designing conservation strategies. Here, we used 80 whole nuclear genomes and 96 mitogenomes from populations of the Eurasian lynx covering a range of conservation statuses, climatic zones and subspecies across Eurasia to infer the demographic history, reconstruct genetic patterns, and discuss the influence of long-term isolation and/or more recent human-driven changes. Our results show that Eurasian lynx populations shared a common history until 100,000 years ago, when Asian and European populations started to diverge and both entered a period of continuous and widespread decline, with western populations, except Kirov, maintaining lower effective sizes than eastern populations. Population declines and increased isolation in more recent times probably drove the genetic differentiation between geographically and ecologically close westernmost European populations. By contrast, and despite the wide range of habitats covered, populations are quite homogeneous genetically across the Asian range, showing a pattern of isolation by distance and providing little genetic support for the several proposed subspecies. Mitogenomic and nuclear divergences and population declines starting during the Late Pleistocene can be mostly attributed to climatic fluctuations and early human influence, but the widespread and sustained decline since the Holocene is more probably the consequence of anthropogenic impacts which intensified in recent centuries, especially in western Europe. Genetic erosion in isolated European populations and lack of evidence for long-term isolation argue for the restoration of lost population connectivity.
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Affiliation(s)
- Maria Lucena-Perez
- Department of Integrative Ecology, Estación Biológica de Doñana (CSIC), Seville, Spain
| | - Elena Marmesat
- Department of Integrative Ecology, Estación Biológica de Doñana (CSIC), Seville, Spain
| | - Daniel Kleinman-Ruiz
- Department of Integrative Ecology, Estación Biológica de Doñana (CSIC), Seville, Spain
| | - Begoña Martínez-Cruz
- School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, UK
| | - Karolina Węcek
- Mammal Research Institute, Polish Academy of Sciences, Białowieża, Poland
| | - Alexander P Saveljev
- Department of Animal Ecology, Russian Research Institute of Game Management and Fur Farming, Kirov, Russia.,Biological Faculty of Moscow State University, Moscow, Russia
| | - Ivan V Seryodkin
- Laboratory of Ecology and Conservation of Animals, Pacific Institute of Geography of Far East Branch of Russian Academy of Sciences, Vladivostok, Russia.,Far Eastern Federal University, Vladivostok, Russia
| | - Innokentiy Okhlopkov
- Institute for Biological Problems of Cryolithozone, Siberian Division of the Russian Academy of Sciences, Yakutsk, Russia
| | - Mikhail G Dvornikov
- Department of Hunting Resources, Russian Research Institute of Game Management and Fur Farming, Kirov, Russia
| | - Janis Ozolins
- Department of Hunting and Wildlife Management, Latvijas Valsts mežzinātnes institūts "Silava", Salaspils, Latvia
| | - Naranbaatar Galsandorj
- Institute of General and Experimental Biology, Mongolian Academy of Science, Ulaanbaatar, Mongolia
| | | | | | - Krzysztof Schmidt
- Mammal Research Institute, Polish Academy of Sciences, Białowieża, Poland
| | - José A Godoy
- Department of Integrative Ecology, Estación Biológica de Doñana (CSIC), Seville, Spain
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26
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Wang X, Maher KH, Zhang N, Que P, Zheng C, Liu S, Wang B, Huang Q, Chen D, Yang X, Zhang Z, Székely T, Urrutia AO, Liu Y. Demographic Histories and Genome-Wide Patterns of Divergence in Incipient Species of Shorebirds. Front Genet 2019; 10:919. [PMID: 31781152 PMCID: PMC6857203 DOI: 10.3389/fgene.2019.00919] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Accepted: 08/30/2019] [Indexed: 12/30/2022] Open
Abstract
Understanding how incipient species are maintained with gene flow is a fundamental question in evolutionary biology. Whole genome sequencing of multiple individuals holds great potential to illustrate patterns of genomic differentiation as well as the associated evolutionary histories. Kentish (Charadrius alexandrinus) and the white-faced (C. dealbatus) plovers, which differ in their phenotype, ecology and behavior, are two incipient species and parapatrically distributed in East Asia. Previous studies show evidence of genetic diversification with gene flow between the two plovers. Under this scenario, it is of great importance to explore the patterns of divergence at the genomic level and to determine whether specific regions are involved in reproductive isolation and local adaptation. Here we present the first population genomic analysis of the two incipient species based on the de novo Kentish plover reference genome and resequenced populations. We show that the two plover lineages are distinct in both nuclear and mitochondrial genomes. Using model-based coalescence analysis, we found that population sizes of Kentish plover increased whereas white-faced plovers declined during the Last Glaciation Period. Moreover, the two plovers diverged allopatrically, with gene flow occurring after secondary contact. This has resulted in low levels of genome-wide differentiation, although we found evidence of a few highly differentiated genomic regions in both the autosomes and the Z-chromosome. This study illustrates that incipient shorebird species with gene flow after secondary contact can exhibit discrete divergence at specific genomic regions and provides basis to further exploration on the genetic basis of relevant phenotypic traits.
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Affiliation(s)
- Xuejing Wang
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Kathryn H. Maher
- Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield, United Kingdom
| | - Nan Zhang
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Pinjia Que
- Ministry of Education Key Laboratory for Biodiversity and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Chenqing Zheng
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- Department of Bioinformatics, Shenzhen Realomics Biological Technology Ltd, Shenzhen, China
| | - Simin Liu
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Biao Wang
- School of Biosciences, University of Melbourne, Parkville, VIC, Australia
| | - Qin Huang
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - De Chen
- Ministry of Education Key Laboratory for Biodiversity and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Xu Yang
- Department of Bioinformatics, Shenzhen Realomics Biological Technology Ltd, Shenzhen, China
| | - Zhengwang Zhang
- Ministry of Education Key Laboratory for Biodiversity and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Tamás Székely
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
- Ministry of Education Key Laboratory for Biodiversity and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Araxi O. Urrutia
- Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
- Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Yang Liu
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
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27
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Multidecade Mortality and a Homolog of Hepatitis C Virus in Bald Eagles (Haliaeetus leucocephalus), the National Bird of the USA. Sci Rep 2019; 9:14953. [PMID: 31628350 PMCID: PMC6802099 DOI: 10.1038/s41598-019-50580-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 09/12/2019] [Indexed: 12/21/2022] Open
Abstract
The bald eagle (Haliaeetus leucocephalus) once experienced near-extinction but has since rebounded. For decades, bald eagles near the Wisconsin River, USA, have experienced a lethal syndrome with characteristic clinical and pathological features but unknown etiology. Here, we describe a novel hepacivirus-like virus (Flaviviridae: Hepacivirus) identified during an investigation of Wisconsin River eagle syndrome (WRES). Bald eagle hepacivirus (BeHV) belongs to a divergent clade of avian viruses that share features with members of the genera Hepacivirus and Pegivirus. BeHV infected 31.9% of eagles spanning 4,254 km of the coterminous USA, with negative strand viral RNA demonstrating active replication in liver tissues. Eagles from Wisconsin were approximately 10-fold more likely to be infected than eagles from elsewhere. Eagle mitochondrial DNA sequences were homogeneous and geographically unstructured, likely reflecting a recent population bottleneck, whereas BeHV envelope gene sequences showed strong population genetic substructure and isolation by distance, suggesting localized transmission. Cophylogenetic analyses showed no congruity between eagles and their viruses, supporting horizontal rather than vertical transmission. These results expand our knowledge of the Flaviviridae, reveal a striking pattern of decoupled host/virus coevolution on a continental scale, and highlight knowledge gaps about health and conservation in even the most iconic of wildlife species.
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28
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Fu CZ, Guang XM, Wan QH, Fang SG. Genome Resequencing Reveals Congenital Causes of Embryo and Nestling Death in Crested Ibis (Nipponia nippon). Genome Biol Evol 2019; 11:2125-2135. [PMID: 31298688 PMCID: PMC6685491 DOI: 10.1093/gbe/evz149] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/14/2019] [Indexed: 12/18/2022] Open
Abstract
The crested ibis (Nipponia nippon) is endangered worldwide. Although a series of conservation measures have markedly increased the population size and distribution area of these birds, the high mortality of embryos and nestlings considerably decreases the survival potential of this bird species. High-throughput sequencing technology was utilized to compare whole genomes between ten samples from dead crested ibises (including six dead embryos and four dead nestlings aged 0-45 days) and 32 samples from living birds. The results indicated that the dead samples all shared the genetic background of a specific ancestral subpopulation. Furthermore, the dead individuals were less genetically diverse and suffered higher degrees of inbreeding compared with these measures in live birds. Several candidate genes (KLHL3, SETDB2, TNNT2, PKP1, AK1, and EXOSC3) associated with detrimental diseases were identified in the genomic regions that differed between the alive and dead samples, which are likely responsible for the death of embryos and nestlings. In addition, in these regions, we also found several genes involved in the protein catabolic process (UBE4A and LONP1), lipid metabolism (ACOT1), glycan biosynthesis and metabolism (HYAL1 and HYAL4), and the immune system (JAM2) that are likely to promote the normal development of embryos and nestlings. The aberrant conditions of these genes and biological processes may contribute to the death of embryos and nestlings. Our data identify congenital factors underlying the death of embryos and nestlings at the whole genome level, which may be useful toward informing more effective conservation efforts for this bird species.
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Affiliation(s)
- Chun-Zheng Fu
- MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou, P.R. China
| | - Xuan-Min Guang
- MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou, P.R. China
| | - Qiu-Hong Wan
- MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou, P.R. China
| | - Sheng-Guo Fang
- MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou, P.R. China
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29
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Hamabata T, Kinoshita G, Kurita K, Cao PL, Ito M, Murata J, Komaki Y, Isagi Y, Makino T. Endangered island endemic plants have vulnerable genomes. Commun Biol 2019; 2:244. [PMID: 31263788 PMCID: PMC6597543 DOI: 10.1038/s42003-019-0490-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 06/03/2019] [Indexed: 11/29/2022] Open
Abstract
Loss of genetic diversity is known to decrease the fitness of species and is a critical factor that increases extinction risk. However, there is little evidence for higher vulnerability and extinction risk in endangered species based on genomic differences between endangered and non-endangered species. This is true even in the case of functional loci, which are more likely to relate to the fitness of species than neutral loci. Here, we compared the genome-wide genetic diversity, proportion of duplicated genes (PD), and accumulation of deleterious variations of endangered island endemic (EIE) plants from four genera with those of their non-endangered (NE) widespread congeners. We focused on exhaustive sequences of expressed genes obtained by RNA sequencing. Most EIE species exhibited significantly lower genetic diversity and PD than NE species. Additionally, all endangered species accumulated deleterious variations. Our findings provide new insights into the genomic traits of EIE species.
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Affiliation(s)
- Tomoko Hamabata
- Graduate School of Life Sciences, Tohoku University, Aoba-ku, Sendai 980-8578 Japan
| | - Gohta Kinoshita
- Graduate School of Agriculture, Kyoto University, Sakyo-ku, Kyoto 606-8502 Japan
| | - Kazuki Kurita
- Graduate School of Agriculture, Kyoto University, Sakyo-ku, Kyoto 606-8502 Japan
| | - Ping-Lin Cao
- Graduate School of Life Sciences, Tohoku University, Aoba-ku, Sendai 980-8578 Japan
| | - Motomi Ito
- Graduate School of Arts and Sciences, University of Tokyo, Meguro-ku, Tokyo 153-8902 Japan
| | - Jin Murata
- Koishikawa Botanical Garden, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 112-0001 Japan
| | - Yoshiteru Komaki
- Koishikawa Botanical Garden, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 112-0001 Japan
| | - Yuji Isagi
- Graduate School of Agriculture, Kyoto University, Sakyo-ku, Kyoto 606-8502 Japan
| | - Takashi Makino
- Graduate School of Life Sciences, Tohoku University, Aoba-ku, Sendai 980-8578 Japan
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30
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Li C, Chen L, Liu X, Shi X, Guo Y, Huang R, Nie F, Zheng C, Zhang C, Ma RZ. A high-density BAC physical map covering the entire MHC region of addax antelope genome. BMC Genomics 2019; 20:479. [PMID: 31185912 PMCID: PMC6558854 DOI: 10.1186/s12864-019-5790-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Accepted: 05/10/2019] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND The mammalian major histocompatibility complex (MHC) harbours clusters of genes associated with the immunological defence of animals against infectious pathogens. At present, no complete MHC physical map is available for any of the wild ruminant species in the world. RESULTS The high-density physical map is composed of two contigs of 47 overlapping bacterial artificial chromosome (BAC) clones, with an average of 115 Kb for each BAC, covering the entire addax MHC genome. The first contig has 40 overlapping BAC clones covering an approximately 2.9 Mb region of MHC class I, class III, and class IIa, and the second contig has 7 BAC clones covering an approximately 500 Kb genomic region that harbours MHC class IIb. The relative position of each BAC corresponding to the MHC sequence was determined by comparative mapping using PCR screening of the BAC library of 192,000 clones, and the order of BACs was determined by DNA fingerprinting. The overlaps of neighboring BACs were cross-verified by both BAC-end sequencing and co-amplification of identical PCR fragments within the overlapped region, with their identities further confirmed by DNA sequencing. CONCLUSIONS We report here the successful construction of a high-quality physical map for the addax MHC region using BACs and comparative mapping. The addax MHC physical map we constructed showed one gap of approximately 18 Mb formed by an ancient autosomal inversion that divided the MHC class II into IIa and IIb. The autosomal inversion provides compelling evidence that the MHC organizations in all of the ruminant species are relatively conserved.
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Affiliation(s)
- Chaokun Li
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, S2-316 Building #2, West Beichen Road, Chaoyang District, Beijing, 100101, China
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Longxin Chen
- Zhengzhou Key Laboratory of Molecular Biology, Zhengzhou Normal University, Zhengzhou, 450044, China
| | - Xuefeng Liu
- Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, 100044, China
| | - Xiaoqian Shi
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, S2-316 Building #2, West Beichen Road, Chaoyang District, Beijing, 100101, China
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yu Guo
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, S2-316 Building #2, West Beichen Road, Chaoyang District, Beijing, 100101, China
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Rui Huang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, S2-316 Building #2, West Beichen Road, Chaoyang District, Beijing, 100101, China
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Fangyuan Nie
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, S2-316 Building #2, West Beichen Road, Chaoyang District, Beijing, 100101, China
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Changming Zheng
- Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, 100044, China
| | - Chenglin Zhang
- Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, 100044, China.
- Beijing Zoo, No. 137 West straight door Avenue, Xicheng District, Beijing, 100032, China.
| | - Runlin Z Ma
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, S2-316 Building #2, West Beichen Road, Chaoyang District, Beijing, 100101, China.
- Zhengzhou Key Laboratory of Molecular Biology, Zhengzhou Normal University, Zhengzhou, 450044, China.
- School of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
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31
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Ke L, Zhou Z, Xu XW, Wang X, Liu Y, Xu Y, Huang Y, Wang S, Deng X, Chen LL, Xu Q. Evolutionary dynamics of lincRNA transcription in nine citrus species. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2019; 98:912-927. [PMID: 30739398 DOI: 10.1111/tpj.14279] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Revised: 02/03/2019] [Accepted: 02/05/2019] [Indexed: 05/23/2023]
Abstract
Long intergenic non-coding RNAs (lincRNAs) play important roles in various biological processes in plants. However, little information is known about the evolutionary characteristics of lincRNAs among closely related plant species. Here, we present a large-scale comparative study of lincRNA transcription patterns in nine citrus species. By strand-specific RNA-sequencing, we identified 18 075 lincRNAs (14 575 lincRNA loci) from 34 tissue samples. The results indicated that the evolution of lincRNA transcription is more rapid than that of mRNAs. In total, 82.8-97.6% of sweet orange (Citrus sinensis) lincRNA genes were shown to have homologous sequences in other citrus genomes. However, only 15.5-28.8% of these genes had transcribed homologous lincRNAs in these citrus species, presenting a strong contrast to the high conservation of mRNA transcription (81.6-84.7%). Moreover, primitive and modern citrus lincRNAs were preferentially expressed in reproductive and vegetative organs, respectively. Evolutionarily conserved lincRNAs showed higher expression levels and lower tissue specificity than species-specific lincRNAs. Notably, we observed a similar tissue expression pattern of homologous lincRNAs in sweet orange and pummelo (Citrus grandis), suggesting that these lincRNAs may be functionally conserved and selectively maintained. We also identified and validated a lincRNA with the highest expression in fruit that acts as an endogenous target mimic (eTM) of csi-miR166c, and two lincRNAs that act as a precursor and target of csi-miR166c, respectively. These lincRNAs together with csi-miR166c could form an eTM166-miR166c-targeted lincRNA regulatory network that possibly affects citrus fruit development.
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Affiliation(s)
- Lili Ke
- Key Laboratory of Horticultural Plant Biology of Ministry of Education, Huazhong Agricultural University, Wuhan, 430070, China
| | - Zhiwei Zhou
- Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xi-Wen Xu
- Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xia Wang
- Key Laboratory of Horticultural Plant Biology of Ministry of Education, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yuanlong Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China
| | - Yuantao Xu
- Key Laboratory of Horticultural Plant Biology of Ministry of Education, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yue Huang
- Key Laboratory of Horticultural Plant Biology of Ministry of Education, Huazhong Agricultural University, Wuhan, 430070, China
| | - Shuting Wang
- Key Laboratory of Horticultural Plant Biology of Ministry of Education, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xiuxin Deng
- Key Laboratory of Horticultural Plant Biology of Ministry of Education, Huazhong Agricultural University, Wuhan, 430070, China
| | - Ling-Ling Chen
- Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Qiang Xu
- Key Laboratory of Horticultural Plant Biology of Ministry of Education, Huazhong Agricultural University, Wuhan, 430070, China
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32
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López-Cortegano E, Pérez-Figueroa A, Caballero A. metapop2: Re-implementation of software for the analysis and management of subdivided populations using gene and allelic diversity. Mol Ecol Resour 2019; 19:1095-1100. [PMID: 30938911 DOI: 10.1111/1755-0998.13015] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2018] [Revised: 03/07/2019] [Accepted: 03/19/2019] [Indexed: 01/06/2023]
Abstract
Management programmes often have to make decisions based on the analysis of the genetic properties and diversity of populations. Expected heterozygosity (or gene diversity) and population structure parameters are often used to make recommendations for conservation, such as avoidance of inbreeding or migration across subpopulations. Allelic diversity, however, can also provide complementary and useful information for conservation programmes, as it is highly sensitive to population bottlenecks, and is more related to long-term selection response than heterozygosity. Here we present a completely revised and updated re-implementation of the software metapop for the analysis of diversity in subdivided populations, as well as a tool for the management and dynamic estimation of optimal contributions in conservation programmes. This new update includes computation of allelic diversity for population analysis and management, as well as a simulation mode to forecast the consequences of taking different management strategies over time. Furthermore, the new implementation in C++ includes code optimization and improved memory usage, allowing for fast analysis of large data sets including single nucleotide polymorphism markers, as well as enhanced cross-software and cross-platform compatibility.
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Affiliation(s)
- Eugenio López-Cortegano
- Departamento de Bioquímica, Genética e Inmunología, Universidade de Vigo, Vigo, Spain.,Centro de Investigación Marina (CIM-UVIGO), Universidade de Vigo, Vigo, Spain
| | - Andrés Pérez-Figueroa
- Departamento de Bioquímica, Genética e Inmunología, Universidade de Vigo, Vigo, Spain.,Centro de Investigaciones Biomédicas (CINBIO), Universidade de Vigo, Vigo, Spain
| | - Armando Caballero
- Departamento de Bioquímica, Genética e Inmunología, Universidade de Vigo, Vigo, Spain.,Centro de Investigación Marina (CIM-UVIGO), Universidade de Vigo, Vigo, Spain
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33
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Robinson JA, Räikkönen J, Vucetich LM, Vucetich JA, Peterson RO, Lohmueller KE, Wayne RK. Genomic signatures of extensive inbreeding in Isle Royale wolves, a population on the threshold of extinction. SCIENCE ADVANCES 2019; 5:eaau0757. [PMID: 31149628 PMCID: PMC6541468 DOI: 10.1126/sciadv.aau0757] [Citation(s) in RCA: 131] [Impact Index Per Article: 26.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 04/23/2019] [Indexed: 05/08/2023]
Abstract
The observation that small isolated populations often suffer reduced fitness from inbreeding depression has guided conservation theory and practice for decades. However, investigating the genome-wide dynamics associated with inbreeding depression in natural populations is only now feasible with relatively inexpensive sequencing technology and annotated reference genomes. To characterize the genome-wide effects of intense inbreeding and isolation, we performed whole-genome sequencing and morphological analysis of an iconic inbred population, the gray wolves (Canis lupus) of Isle Royale. Through population genetic simulations and comparison with wolf genomes from a variety of demographic histories, we find evidence that severe inbreeding depression in this population is due to increased homozygosity of strongly deleterious recessive mutations. Our results have particular relevance in light of the recent translocation of wolves from the mainland to Isle Royale, as well as broader implications for management of genetic variation in the fragmented landscape of the modern world.
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Affiliation(s)
- Jacqueline A. Robinson
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA
- Corresponding author.
| | - Jannikke Räikkönen
- Department of Environmental Research and Monitoring, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden
| | - Leah M. Vucetich
- School of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI 49931, USA
| | - John A. Vucetich
- School of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI 49931, USA
| | - Rolf O. Peterson
- School of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI 49931, USA
| | - Kirk E. Lohmueller
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA
- Interdepartmental Program in Bioinformatics, University of California, Los Angeles, CA 90095, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Robert K. Wayne
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA
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Lan H, Zhou T, Wan QH, Fang SG. Genetic Diversity and Differentiation at Structurally Varying MHC Haplotypes and Microsatellites in Bottlenecked Populations of Endangered Crested Ibis. Cells 2019; 8:E377. [PMID: 31027280 PMCID: PMC6523929 DOI: 10.3390/cells8040377] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 04/19/2019] [Accepted: 04/23/2019] [Indexed: 12/29/2022] Open
Abstract
Investigating adaptive potential and understanding the relative roles of selection and genetic drift in populations of endangered species are essential in conservation. Major histocompatibility complex (MHC) genes characterized by spectacular polymorphism and fitness association have become valuable adaptive markers. Herein we investigate the variation of all MHC class I and II genes across seven populations of an endangered bird, the crested ibis, of which all current individuals are offspring of only two pairs. We inferred seven multilocus haplotypes from linked alleles in the Core Region and revealed structural variation of the class II region that probably evolved through unequal crossing over. Based on the low polymorphism, structural variation, strong linkage, and extensive shared alleles, we applied the MHC haplotypes in population analysis. The genetic variation and population structure at MHC haplotypes are generally concordant with those expected from microsatellites, underlining the predominant role of genetic drift in shaping MHC variation in the bottlenecked populations. Nonetheless, some populations showed elevated differentiation at MHC, probably due to limited gene flow. The seven populations were significantly differentiated into three groups and some groups exhibited genetic monomorphism, which can be attributed to founder effects. We therefore propose various strategies for future conservation and management.
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Affiliation(s)
- Hong Lan
- MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
- Department of Agriculture, Zhejiang Open University, Hangzhou 310012, China.
| | - Tong Zhou
- MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Qiu-Hong Wan
- MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Sheng-Guo Fang
- MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
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No Signs of Genetic Erosion in a 19th Century Genome of the Extinct Paradise Parrot (Psephotellus pulcherrimus). DIVERSITY 2019. [DOI: 10.3390/d11040058] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The Paradise Parrot, Psephotellus pulcherrimus, was a charismatic Australian bird that became extinct around 1928. While many extrinsic factors have been proposed to explain its disappearance, it remains unclear as to what extent genetic erosion might have contributed to the species’ demise. In this study, we use whole-genome resequencing to reconstruct a 15x coverage genome based on a historical museum specimen and shed further light on the evolutionary history that preceded the extinction of the Paradise Parrot. By comparing the genetic diversity of this genome with genomes from extant endangered birds, we show that during the species’ dramatic decline in the second half of the 19th century, the Paradise Parrot was genetically more diverse than individuals from species that are currently classified as endangered. Furthermore, demographic analyses suggest that the population size of the Paradise Parrot changed with temperature fluctuations during the last glacial cycle. We also confirm that the Golden-shouldered Parrot, Psephotellus chrysopterygius, is the closest living relative of this extinct parrot. Overall, our study highlights the importance of museum collections as repositories of biodiversity across time and demonstrates how historical specimens can provide a broader context on the circumstances that lead to species extinctions.
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36
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de Villemereuil P, Rutschmann A, Lee KD, Ewen JG, Brekke P, Santure AW. Little Adaptive Potential in a Threatened Passerine Bird. Curr Biol 2019; 29:889-894.e3. [DOI: 10.1016/j.cub.2019.01.072] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 12/18/2018] [Accepted: 01/28/2019] [Indexed: 11/29/2022]
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Kolchanova S, Kliver S, Komissarov A, Dobrinin P, Tamazian G, Grigorev K, Wolfsberger WW, Majeske AJ, Velez-Valentin J, Valentin de la Rosa R, Paul-Murphy JR, Guzman DSM, Court MH, Rodriguez-Flores JL, Martínez-Cruzado JC, Oleksyk TK. Genomes of Three Closely Related Caribbean Amazons Provide Insight for Species History and Conservation. Genes (Basel) 2019; 10:E54. [PMID: 30654561 PMCID: PMC6356210 DOI: 10.3390/genes10010054] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 12/13/2018] [Accepted: 01/08/2019] [Indexed: 11/17/2022] Open
Abstract
Islands have been used as model systems for studies of speciation and extinction since Darwin published his observations about finches found on the Galapagos. Amazon parrots inhabiting the Greater Antillean Islands represent a fascinating model of species diversification. Unfortunately, many of these birds are threatened as a result of human activity and some, like the Puerto Rican parrot, are now critically endangered. In this study we used a combination of de novo and reference-assisted assembly methods, integrating it with information obtained from related genomes to perform genome reconstruction of three amazon species. First, we used whole genome sequencing data to generate a new de novo genome assembly for the Puerto Rican parrot (Amazona vittata). We then improved the obtained assembly using transcriptome data from Amazona ventralis and used the resulting sequences as a reference to assemble the genomes Hispaniolan (A. ventralis) and Cuban (Amazona leucocephala) parrots. Finally, we, annotated genes and repetitive elements, estimated genome sizes and current levels of heterozygosity, built models of demographic history and provided interpretation of our findings in the context of parrot evolution in the Caribbean.
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Affiliation(s)
- Sofiia Kolchanova
- Department of Biology, University of Puerto Rico at Mayaguez, Mayaguez, PR 00680, USA.
- Department of Biology, University of Konstanz, 78464 Konstanz, Germany.
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, 199034 St. Petersburg, Russia.
| | - Sergei Kliver
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, 199034 St. Petersburg, Russia.
| | - Aleksei Komissarov
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, 199034 St. Petersburg, Russia.
| | - Pavel Dobrinin
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, 199034 St. Petersburg, Russia.
| | - Gaik Tamazian
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, 199034 St. Petersburg, Russia.
| | - Kirill Grigorev
- Department of Biology, University of Puerto Rico at Mayaguez, Mayaguez, PR 00680, USA.
- Department of Genetic Medicine, Weill Cornell Medical College, New York, NY 10021, USA.
| | - Walter W Wolfsberger
- Department of Biology, University of Puerto Rico at Mayaguez, Mayaguez, PR 00680, USA.
- Department of Biological Sciences, Oakland University, 118 Library Drive, Rochester, MI 48309, USA.
- Department of Biological Sciences, Uzhhorod National University, 88000 Uzhhorod, Ukraine.
| | - Audrey J Majeske
- Department of Biology, University of Puerto Rico at Mayaguez, Mayaguez, PR 00680, USA.
- Beaumont BioBank, William Beaumont Hospital, Royal Oak, MI 48073, USA.
| | - Jafet Velez-Valentin
- Conservation Program of the Puerto Rican Parrot, U.S. Fish and Wildlife Service, Rio Grande, PR 00745, USA.
| | - Ricardo Valentin de la Rosa
- The Recovery Program of the Puerto Rican Parrot at the Rio Abajo State Forest, Departamento de Recursos Naturales y Ambientales de Puerto Rico, Arecibo, PR 00613, USA.
| | - Joanne R Paul-Murphy
- Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA.
| | - David Sanchez-Migallon Guzman
- Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA.
| | - Michael H Court
- Program in Individualized Medicine (PrIMe), Pharmacogenomics Laboratory, Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, 100 Grimes Way, Pullman, WA 99164, USA.
| | | | | | - Taras K Oleksyk
- Department of Biology, University of Puerto Rico at Mayaguez, Mayaguez, PR 00680, USA.
- Department of Biological Sciences, Oakland University, 118 Library Drive, Rochester, MI 48309, USA.
- Department of Biological Sciences, Uzhhorod National University, 88000 Uzhhorod, Ukraine.
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38
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Feng S, Fang Q, Barnett R, Li C, Han S, Kuhlwilm M, Zhou L, Pan H, Deng Y, Chen G, Gamauf A, Woog F, Prys-Jones R, Marques-Bonet T, Gilbert MTP, Zhang G. The Genomic Footprints of the Fall and Recovery of the Crested Ibis. Curr Biol 2019; 29:340-349.e7. [PMID: 30639104 PMCID: PMC6345625 DOI: 10.1016/j.cub.2018.12.008] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 10/09/2018] [Accepted: 12/06/2018] [Indexed: 01/19/2023]
Abstract
Human-induced environmental change and habitat fragmentation pose major threats to biodiversity and require active conservation efforts to mitigate their consequences. Genetic rescue through translocation and the introduction of variation into imperiled populations has been argued as a powerful means to preserve, or even increase, the genetic diversity and evolutionary potential of endangered species [1-4]. However, factors such as outbreeding depression [5, 6] and a reduction in available genetic diversity render the success of such approaches uncertain. An improved evaluation of the consequence of genetic restoration requires knowledge of temporal changes to genetic diversity before and after the advent of management programs. To provide such information, a growing number of studies have included small numbers of genomic loci extracted from historic and even ancient specimens [7, 8]. We extend this approach to its natural conclusion, by characterizing the complete genomic sequences of modern and historic population samples of the crested ibis (Nipponia nippon), an endangered bird that is perhaps the most successful example of how conservation effort has brought a species back from the brink of extinction. Though its once tiny population has today recovered to >2,000 individuals [9], this process was accompanied by almost half of ancestral loss of genetic variation and high deleterious mutation load. We furthermore show how genetic drift coupled to inbreeding following the population bottleneck has largely purged the ancient polymorphisms from the current population. In conclusion, we demonstrate the unique promise of exploiting genomic information held within museum samples for conservation and ecological research.
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Affiliation(s)
- Shaohong Feng
- University of Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; China National GeneBank, BGI-Shenzhen, Shenzhen 518083, China
| | - Qi Fang
- China National GeneBank, BGI-Shenzhen, Shenzhen 518083, China; Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Ross Barnett
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark
| | - Cai Li
- China National GeneBank, BGI-Shenzhen, Shenzhen 518083, China; The Francis Crick Institute, London NW1 1AT, UK
| | - Sojung Han
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Martin Kuhlwilm
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Long Zhou
- China National GeneBank, BGI-Shenzhen, Shenzhen 518083, China
| | - Hailin Pan
- China National GeneBank, BGI-Shenzhen, Shenzhen 518083, China; Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Yuan Deng
- China National GeneBank, BGI-Shenzhen, Shenzhen 518083, China
| | - Guangji Chen
- University of Chinese Academy of Sciences, Beijing 100049, China; China National GeneBank, BGI-Shenzhen, Shenzhen 518083, China
| | - Anita Gamauf
- Museum of Natural History Vienna, 1st Zoological Department - Ornithology, Burgring 7, A-1010 Vienna, Austria
| | - Friederike Woog
- Staatliches Museum für Naturkunde, Rosenstein 1, 70191 Stuttgart, Germany
| | - Robert Prys-Jones
- Bird Group, Department of Life Sciences, Natural History Museum, Akeman St, Tring, Herts HP23 6AP, UK
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain; Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, 08010, Barcelona, Spain; CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain; Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, c/ Columnes s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain
| | - M Thomas P Gilbert
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark; Norwegian University of Science and Technology, University Museum, 7491 Trondheim, Norway
| | - Guojie Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; China National GeneBank, BGI-Shenzhen, Shenzhen 518083, China; Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.
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Yang Y, Ma T, Wang Z, Lu Z, Li Y, Fu C, Chen X, Zhao M, Olson MS, Liu J. Genomic effects of population collapse in a critically endangered ironwood tree Ostrya rehderiana. Nat Commun 2018; 9:5449. [PMID: 30575743 PMCID: PMC6303402 DOI: 10.1038/s41467-018-07913-4] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Accepted: 12/03/2018] [Indexed: 12/30/2022] Open
Abstract
Increased human activity and climate change are driving numerous tree species to endangered status, and in the worst cases extinction. Here we examine the genomic signatures of the critically endangered ironwood tree Ostrya rehderiana and its widespread congener O. chinensis. Both species have similar demographic histories prior to the Last Glacial Maximum (LGM); however, the effective population size of O. rehderiana continued to decrease through the last 10,000 years, whereas O. chinensis recovered to Pre-LGM numbers. O. rehderiana accumulated more deleterious mutations, but purged more severely deleterious recessive variations than in O. chinensis. This purging and the gradually reduced inbreeding depression together may have mitigated extinction and contributed to the possible future survival of the outcrossing O. rehderiana. Our findings provide critical insights into the evolutionary history of population collapse and the potential for future recovery of the endangered trees.
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Affiliation(s)
- Yongzhi Yang
- Key Laboratory of Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, 610065, Chengdu, China
- State Key Laboratory of Grassland Agro-Ecosystem, College of Life Sciences, Lanzhou University, 730000, Lanzhou, China
| | - Tao Ma
- Key Laboratory of Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, 610065, Chengdu, China
| | - Zefu Wang
- Key Laboratory of Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, 610065, Chengdu, China
| | - Zhiqiang Lu
- State Key Laboratory of Grassland Agro-Ecosystem, College of Life Sciences, Lanzhou University, 730000, Lanzhou, China
| | - Ying Li
- State Key Laboratory of Grassland Agro-Ecosystem, College of Life Sciences, Lanzhou University, 730000, Lanzhou, China
| | - Chengxin Fu
- Key Laboratory of Conservation Biology for Endangered Wildlife of Ministry of Education, and College of Life Sciences, Zhejiang University, 310058, Hangzhou, China
| | - Xiaoyong Chen
- School of Ecological & Environmental Sciences, East China Normal University, Dongchuan Road 500, 200241, Shanghai, China
| | - Mingshui Zhao
- Zhejiang Tianmushan National Nature Reserve Management Bureau, 310058, Hangzhou, China
| | - Matthew S Olson
- Department of Biological Sciences, Texas Tech University, Box 43131, Lubbock, TX, 79409-3131, USA
| | - Jianquan Liu
- Key Laboratory of Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, 610065, Chengdu, China.
- State Key Laboratory of Grassland Agro-Ecosystem, College of Life Sciences, Lanzhou University, 730000, Lanzhou, China.
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40
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Zhu L, Deng C, Zhao X, Ding J, Huang H, Zhu S, Wang Z, Qin S, Ding Y, Lu G, Yang Z. Endangered Père David's deer genome provides insights into population recovering. Evol Appl 2018; 11:2040-2053. [PMID: 30459847 PMCID: PMC6231465 DOI: 10.1111/eva.12705] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 08/14/2018] [Accepted: 08/26/2018] [Indexed: 12/30/2022] Open
Abstract
The Milu (Père David's deer, Elaphurus davidianus) were once widely distributed in the swamps (coastal areas to inland areas) of East Asia. The dramatic recovery of the Milu population is now deemed a classic example of how highly endangered animal species can be rescued. However, the molecular mechanisms that underpinned this population recovery remain largely unknown. Here, different approaches (genome sequencing, resequencing, and salinity analysis) were utilized to elucidate the aforementioned molecular mechanisms. The comparative genomic analyses revealed that the largest recovered Milu population carries extensive genetic diversity despite an extreme population bottleneck. And the protracted inbreeding history might have facilitated the purging of deleterious recessive alleles. Seventeen genes that are putatively related to reproduction, embryonic (fatal) development, and immune response were under high selective pressure. Besides, SCNN1A, a gene involved in controlling reabsorption of sodium in the body, was positively selected. An additional 29 genes were also observed to be positively selected, which are involved in blood pressure regulation, cardiovascular development, cholesterol regulation, glycemic control, and thyroid hormone synthesis. It is possible that these genetic adaptations were required to buffer the negative effects commonly associated with a high-salt diet. The associated genetic adaptions are likely to have enabled increased breeding success and fetal survival. The future success of Milu population management might depend on the successful reintroduction of the animal to historically important distribution regions.
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Affiliation(s)
- Lifeng Zhu
- College of life SciencesNanjing Normal UniversityNanjingChina
- University of Nebraska at OmahaOmaha
| | - Cao Deng
- DNA Stories Bioinformatics CenterChengduChina
| | - Xiang Zhao
- PubBio‐Tech Services CorporationWuhanChina
| | | | - Huasheng Huang
- Shanghai Majorbio Bio‐pharm Biotechnology Co. Ltd.ShanghaiChina
| | - Shilin Zhu
- PubBio‐Tech Services CorporationWuhanChina
| | | | | | - Yuhua Ding
- Jiangsu Dafeng Milu National Nature ReserveDafengChina
| | | | - Zhisong Yang
- Key Laboratory of Southwest China Wildlife Resources Conservation (ministry of education)China West Normal UniversityNanchongChina
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41
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Lee CY, Hsieh PH, Chiang LM, Chattopadhyay A, Li KY, Lee YF, Lu TP, Lai LC, Lin EC, Lee H, Ding ST, Tsai MH, Chen CY, Chuang EY. Whole-genome de novo sequencing reveals unique genes that contributed to the adaptive evolution of the Mikado pheasant. Gigascience 2018; 7:4990948. [PMID: 29722814 PMCID: PMC5941149 DOI: 10.1093/gigascience/giy044] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 04/13/2018] [Indexed: 01/10/2023] Open
Abstract
Background The Mikado pheasant (Syrmaticus mikado) is a nearly endangered species indigenous to high-altitude regions of Taiwan. This pheasant provides an opportunity to investigate evolutionary processes following geographic isolation. Currently, the genetic background and adaptive evolution of the Mikado pheasant remain unclear. Results We present the draft genome of the Mikado pheasant, which consists of 1.04 Gb of DNA and 15,972 annotated protein-coding genes. The Mikado pheasant displays expansion and positive selection of genes related to features that contribute to its adaptive evolution, such as energy metabolism, oxygen transport, hemoglobin binding, radiation response, immune response, and DNA repair. To investigate the molecular evolution of the major histocompatibility complex (MHC) across several avian species, 39 putative genes spanning 227 kb on a contiguous region were annotated and manually curated. The MHC loci of the pheasant revealed a high level of synteny, several rapidly evolving genes, and inverse regions compared to the same loci in the chicken. The complete mitochondrial genome was also sequenced, assembled, and compared against four long-tailed pheasants. The results from molecular clock analysis suggest that ancestors of the Mikado pheasant migrated from the north to Taiwan about 3.47 million years ago. Conclusions This study provides a valuable genomic resource for the Mikado pheasant, insights into its adaptation to high altitude, and the evolutionary history of the genus Syrmaticus, which could potentially be useful for future studies that investigate molecular evolution, genomics, ecology, and immunogenetics.
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Affiliation(s)
- Chien-Yueh Lee
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan
| | - Ping-Han Hsieh
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan
| | - Li-Mei Chiang
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan
| | - Amrita Chattopadhyay
- Bioinformatics and Biostatistics Core, Center of Genomic Medicine, National Taiwan University, Taipei 10055, Taiwan
| | - Kuan-Yi Li
- Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei 10617, Taiwan.,Institute of Plant and Microbial Biology, Academia Sinica, Taipei, 11529, Taiwan
| | - Yi-Fang Lee
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan
| | - Tzu-Pin Lu
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei 10055, Taiwan
| | - Liang-Chuan Lai
- Graduate Institute of Physiology, National Taiwan University, Taipei 10051, Taiwan
| | - En-Chung Lin
- Department of Animal Science and Technology, National Taiwan University, Taipei 10617, Taiwan
| | - Hsinyu Lee
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan.,Department of Life Science, National Taiwan University, Taipei 10617, Taiwan.,Center for Biotechnology, National Taiwan University, Taipei 10672, Taiwan
| | - Shih-Torng Ding
- Department of Animal Science and Technology, National Taiwan University, Taipei 10617, Taiwan.,Center for Biotechnology, National Taiwan University, Taipei 10672, Taiwan
| | - Mong-Hsun Tsai
- Bioinformatics and Biostatistics Core, Center of Genomic Medicine, National Taiwan University, Taipei 10055, Taiwan.,Center for Biotechnology, National Taiwan University, Taipei 10672, Taiwan.,Institute of Biotechnology, National Taiwan University, Taipei 10672, Taiwan.,Agricultural Biotechnology Research Center, Academia Sinica, Taipei 11529, Taiwan University, Taipei, Taiwan
| | - Chien-Yu Chen
- Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei 10617, Taiwan.,Center for Biotechnology, National Taiwan University, Taipei 10672, Taiwan.,Center for Systems Biology, National Taiwan University, Taipei 10672, Taiwan
| | - Eric Y Chuang
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan.,Bioinformatics and Biostatistics Core, Center of Genomic Medicine, National Taiwan University, Taipei 10055, Taiwan.,Graduate Institute of Chinese Medical Science, China Medical University, Taichung 40402, Taiwan
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42
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Improving conservation policy with genomics: a guide to integrating adaptive potential into U.S. Endangered Species Act decisions for conservation practitioners and geneticists. CONSERV GENET 2018. [DOI: 10.1007/s10592-018-1096-1] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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43
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Xie X, Yang Y, Ren Q, Ding X, Bao P, Yan B, Yan X, Han J, Yan P, Qiu Q. Accumulation of deleterious mutations in the domestic yak genome. Anim Genet 2018; 49:384-392. [DOI: 10.1111/age.12703] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/10/2018] [Indexed: 12/19/2022]
Affiliation(s)
- X. Xie
- State Key Laboratory of Grassland Agro-Ecosystem; School of Life Sciences; Lanzhou University; Lanzhou 730000 China
| | - Y. Yang
- State Key Laboratory of Grassland Agro-Ecosystem; School of Life Sciences; Lanzhou University; Lanzhou 730000 China
| | - Q. Ren
- State Key Laboratory of Grassland Agro-Ecosystem; School of Life Sciences; Lanzhou University; Lanzhou 730000 China
| | - X. Ding
- Key Laboratory of Yak Breeding Engineering Gansu Province; Lanzhou Institute of Husbandry and Pharmaceutical Sciences; Chinese Academy of Agricultural Science; Lanzhou 730050 China
| | - P. Bao
- Key Laboratory of Yak Breeding Engineering Gansu Province; Lanzhou Institute of Husbandry and Pharmaceutical Sciences; Chinese Academy of Agricultural Science; Lanzhou 730050 China
| | - B. Yan
- State Key Laboratory of Grassland Agro-Ecosystem; School of Life Sciences; Lanzhou University; Lanzhou 730000 China
| | - X. Yan
- State Key Laboratory of Grassland Agro-Ecosystem; School of Life Sciences; Lanzhou University; Lanzhou 730000 China
| | - J. Han
- State Key Laboratory of Grassland Agro-Ecosystem; School of Life Sciences; Lanzhou University; Lanzhou 730000 China
| | - P. Yan
- Key Laboratory of Yak Breeding Engineering Gansu Province; Lanzhou Institute of Husbandry and Pharmaceutical Sciences; Chinese Academy of Agricultural Science; Lanzhou 730050 China
| | - Q. Qiu
- State Key Laboratory of Grassland Agro-Ecosystem; School of Life Sciences; Lanzhou University; Lanzhou 730000 China
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Sohn JI, Nam K, Hong H, Kim JM, Lim D, Lee KT, Do YJ, Cho CY, Kim N, Chai HH, Nam JW. Whole genome and transcriptome maps of the entirely black native Korean chicken breed Yeonsan Ogye. Gigascience 2018; 7:5052204. [PMID: 30010758 PMCID: PMC6065499 DOI: 10.1093/gigascience/giy086] [Citation(s) in RCA: 12] [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] [Received: 01/15/2018] [Revised: 05/19/2018] [Accepted: 07/04/2018] [Indexed: 12/30/2022] Open
Abstract
Background Yeonsan Ogye (YO), an indigenous Korean chicken breed (Gallus gallus domesticus), has entirely black external features and internal organs. In this study, the draft genome of YO was assembled using a hybrid de novo assembly method that takes advantage of high-depth Illumina short reads (376.6X) and low-depth Pacific Biosciences (PacBio) long reads (9.7X). Findings The contig and scaffold NG50s of the hybrid de novo assembly were 362.3 Kbp and 16.8 Mbp, respectively. The completeness (97.6%) of the draft genome (Ogye_1.1) was evaluated with single-copy orthologous genes using Benchmarking Universal Single-Copy Orthologs and found to be comparable to the current chicken reference genome (galGal5; 97.4%; contigs were assembled with high-depth PacBio long reads (50X) and scaffolded with short reads) and superior to other avian genomes (92%-93%; assembled with short read-only or hybrid methods). Compared to galGal4 and galGal5, the draft genome included 551 structural variations including the fibromelanosis (FM) locus duplication, related to hyperpigmentation. To comprehensively reconstruct transcriptome maps, RNA sequencing and reduced representation bisulfite sequencing data were analyzed from 20 tissues, including 4 black tissues (skin, shank, comb, and fascia). The maps included 15,766 protein-coding and 6,900 long noncoding RNA genes, many of which were tissue-specifically expressed and displayed tissue-specific DNA methylation patterns in the promoter regions. Conclusions We expect that the resulting genome sequence and transcriptome maps will be valuable resources for studying domestic chicken breeds, including black-skinned chickens, as well as for understanding genomic differences between breeds and the evolution of hyperpigmented chickens and functional elements related to hyperpigmentation.
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Affiliation(s)
- Jang-il Sohn
- Department of Life Science, Hanyang University, Seoul, 133-791, Republic of Korea
- Research Institute for Convergence of Basic Sciences, Hanyang University, Seoul, 133-791, Republic of Korea
| | - Kyoungwoo Nam
- Department of Life Science, Hanyang University, Seoul, 133-791, Republic of Korea
| | - Hyosun Hong
- Department of Life Science, Hanyang University, Seoul, 133-791, Republic of Korea
| | - Jun-Mo Kim
- Department of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do, 17546, Republic of Korea
| | - Dajeong Lim
- Department of Animal Biotechnology & Environment, National Institute of Animal Science, RDA, Wanju, 55365, Republic of Korea
| | - Kyung-Tai Lee
- Department of Animal Biotechnology & Environment, National Institute of Animal Science, RDA, Wanju, 55365, Republic of Korea
| | - Yoon Jung Do
- Department of Animal Biotechnology & Environment, National Institute of Animal Science, RDA, Wanju, 55365, Republic of Korea
| | - Chang Yeon Cho
- Animal Genetic Resource Research Center, National Institute of Animal Science, RDA, Namwon, 55717, Republic of Korea
| | - Namshin Kim
- Personalized Genomic Medicine Research Center, KRIBB, Daejeon, 34141, Republic of Korea
| | - Han-Ha Chai
- Department of Animal Biotechnology & Environment, National Institute of Animal Science, RDA, Wanju, 55365, Republic of Korea
- College of Pharmacy, Chonnam National University, Kwangju, 61186, Republic of Korea
| | - Jin-Wu Nam
- Department of Life Science, Hanyang University, Seoul, 133-791, Republic of Korea
- Research Institute for Convergence of Basic Sciences, Hanyang University, Seoul, 133-791, Republic of Korea
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Yoder AD, Poelstra JW, Tiley GP, Williams RC. Neutral Theory Is the Foundation of Conservation Genetics. Mol Biol Evol 2018; 35:1322-1326. [DOI: 10.1093/molbev/msy076] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Affiliation(s)
- Anne D Yoder
- Department of Biology, Duke University, Durham, NC
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Díez-del-Molino D, Sánchez-Barreiro F, Barnes I, Gilbert MTP, Dalén L. Quantifying Temporal Genomic Erosion in Endangered Species. Trends Ecol Evol 2018; 33:176-185. [DOI: 10.1016/j.tree.2017.12.002] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 11/28/2017] [Accepted: 12/01/2017] [Indexed: 12/30/2022]
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Abstract
The five most pervasive anthropogenic threats to biodiversity are over-exploitation, habitat changes, climate change, invasive species, and pollution. Since all of these threats can affect intraspecific biodiversity—including genetic variation within populations—humans have the potential to induce contemporary microevolution in wild populations. We highlight recent empirical studies that have explored the effects of these anthropogenic threats to intraspecific biodiversity in the wild. We conclude that it is critical that we move towards a predictive framework that integrates a better understanding of contemporary microevolution to multiple threats to forecast the fate of natural populations in a changing world.
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Tigano A, Sackton TB, Friesen VL. Assembly and RNA-free annotation of highly heterozygous genomes: The case of the thick-billed murre (Uria lomvia). Mol Ecol Resour 2017; 18:79-90. [PMID: 28815912 DOI: 10.1111/1755-0998.12712] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 08/02/2017] [Accepted: 08/08/2017] [Indexed: 11/29/2022]
Abstract
Thanks to a dramatic reduction in sequencing costs followed by a rapid development of bioinformatics tools, genome assembly and annotation have become accessible to many researchers in recent years. Among tetrapods, birds have genomes that display many features that facilitate their assembly and annotation, such as small genome size, low number of repeats and highly conserved genomic structure. However, we found that high genomic heterozygosity could have a great impact on the quality of the genome assembly of the thick-billed murre (Uria lomvia), an arctic colonial seabird. In this study, we tested the performance of three genome assemblers, ray/sscape, soapdenovo2 and platanus, in assembling the highly heterozygous genome of the thick-billed murre. Our results show that platanus, an assembler specifically designed for heterozygous genomes, outperforms the other two approaches and produces a highly contiguous (N50 = 15.8 Mb) and complete genome assembly (93% presence of genes from the Benchmarking Universal Single Copy Ortholog [BUSCO] gene set). Additionally, we annotated the thick-billed murre genome using a homology-based approach that takes advantage of the genomic resources available for birds and other taxa. Our study will be useful for those researchers who are approaching assembly and annotation of highly heterozygous genomes, or genomes of species of conservation concern, and/or who have limited financial resources.
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Affiliation(s)
- Anna Tigano
- Department of Biology, Queen's University, Kingston, ON, Canada
| | | | - Vicki L Friesen
- Department of Biology, Queen's University, Kingston, ON, Canada
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Liu S, Liu L, Tang Y, Xiong S, Long J, Liu Z, Tian N. Comparative transcriptomic analysis of key genes involved in flavonoid biosynthetic pathway and identification of a flavonol synthase from Artemisia annua L. PLANT BIOLOGY (STUTTGART, GERMANY) 2017; 19:618-629. [PMID: 28267260 DOI: 10.1111/plb.12562] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Accepted: 03/01/2017] [Indexed: 06/06/2023]
Abstract
The regulatory mechanism of flavonoids, which synergise anti-malarial and anti-cancer compounds in Artemisia annua, is still unclear. In this study, an anthocyanidin-accumulating mutant callus was induced from A. annua and comparative transcriptomic analysis of wild-type and mutant calli performed, based on the next-generation Illumina/Solexa sequencing platform and de novo assembly. A total of 82,393 unigenes were obtained and 34,764 unigenes were annotated in the public database. Among these, 87 unigenes were assigned to 14 structural genes involved in the flavonoid biosynthetic pathway and 37 unigenes were assigned to 17 structural genes related to metabolism of flavonoids. More than 30 unigenes were assigned to regulatory genes, including R2R3-MYB, bHLH and WD40, which might regulate flavonoid biosynthesis. A further 29 unigenes encoding flavonoid biosynthetic enzymes or transcription factors were up-regulated in the mutant, while 19 unigenes were down-regulated, compared with the wild type. Expression levels of nine genes involved in the flavonoid pathway were compared using semi-quantitative RT-PCR, and results were consistent with comparative transcriptomic analysis. Finally, a putative flavonol synthase gene (AaFLS1) was identified from enzyme assay in vitro and in vivo through heterogeneous expression, and confirmed comparative transcriptomic analysis of wild-type and mutant callus. The present work has provided important target genes for the regulation of flavonoid biosynthesis in A. annua.
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Affiliation(s)
- S Liu
- Hunan Collaborative Innovation for Utilization of Botanical Functional Ingredients, National Research Center of Engineering Technology for Utilization of Functional Ingredients from Botanicals, College of Horticulture and Hardening, Hunan Agricultural University, Changsha, China
- Department of Tea Science, College of Horticulture and Hardening, Hunan Agricultural University, Changsha, China
| | - L Liu
- Department of Tea Science, College of Horticulture and Hardening, Hunan Agricultural University, Changsha, China
| | - Y Tang
- Department of Tea Science, College of Horticulture and Hardening, Hunan Agricultural University, Changsha, China
| | - S Xiong
- Department of Tea Science, College of Horticulture and Hardening, Hunan Agricultural University, Changsha, China
| | - J Long
- Hunan Collaborative Innovation for Utilization of Botanical Functional Ingredients, National Research Center of Engineering Technology for Utilization of Functional Ingredients from Botanicals, College of Horticulture and Hardening, Hunan Agricultural University, Changsha, China
| | - Z Liu
- Hunan Collaborative Innovation for Utilization of Botanical Functional Ingredients, National Research Center of Engineering Technology for Utilization of Functional Ingredients from Botanicals, College of Horticulture and Hardening, Hunan Agricultural University, Changsha, China
- Department of Tea Science, College of Horticulture and Hardening, Hunan Agricultural University, Changsha, China
| | - N Tian
- Department of Tea Science, College of Horticulture and Hardening, Hunan Agricultural University, Changsha, China
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Steeves TE, Johnson JA, Hale ML. Maximising evolutionary potential in functional proxies for extinct species: a conservation genetic perspective on de‐extinction. Funct Ecol 2017. [DOI: 10.1111/1365-2435.12843] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Tammy E. Steeves
- School of Biological Sciences University of Canterbury Private Bag 4800 Christchurch8140 New Zealand
| | - Jeff A. Johnson
- Department of Biological Sciences and Institute of Applied Science University of North Texas 1155 Union Circle Denton TX76203 USA
| | - Marie L. Hale
- School of Biological Sciences University of Canterbury Private Bag 4800 Christchurch8140 New Zealand
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