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Li Z, Fan H, Liao Z, Wang Y, Wei F. Global spatiotemporal patterns of demographic fluctuations in terrestrial vertebrates during the Late Pleistocene. SCIENCE ADVANCES 2025; 11:eadq3938. [PMID: 40408474 PMCID: PMC12101494 DOI: 10.1126/sciadv.adq3938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Accepted: 04/22/2025] [Indexed: 05/25/2025]
Abstract
Demographic fluctuations are crucial for assessing species' threat levels, yet their global spatiotemporal patterns and historical drivers remain unknown. Here, we used single whole-genome sequence data for 527 extant and widespread terrestrial vertebrates to investigate their demographic fluctuations during the Late Pleistocene. Effective population size (Ne) simulations indicated that all taxa experienced a population decline from the Last Interglacial to the Last Glacial Maximum (LGM). After the LGM, birds and amphibians underwent population expansion, whereas mammals and reptiles' populations declined. Regions with high Ne shifted from Neotropical to Afrotropical and to Palearctic, some overlapping with recognized glacial refugia and biodiversity hotspots. In addition, climate-related factors exerted long-term effects on Ne, while human disturbances might confine to specific regions around the Pleistocene-Holocene boundary. This study underscores the significance of quantifying vertebrate genetic vulnerability to guide biodiversity conservation in response to environmental changes.
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Affiliation(s)
- Zitian Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Jiangxi Key Laboratory of Conservation Biology, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huizhong Fan
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Ziyan Liao
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China
| | - Yuxuan Wang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Fuwen Wei
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Jiangxi Key Laboratory of Conservation Biology, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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2
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Kitayama H, Shirai A, Nemoto K, Tawa Y, Watanuki K, Hayakawa T. Population genetics of captive spider monkeys in Japan for ex situ conservation. Primates 2025:10.1007/s10329-025-01192-6. [PMID: 40327172 DOI: 10.1007/s10329-025-01192-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Accepted: 04/16/2025] [Indexed: 05/07/2025]
Abstract
Spider monkeys (Ateles sp.) are among the most endangered primates in tropical forests, ranging from Central to South America. The current consensus on their classification is split into 7 species. However, species identification of Ateles individuals is challenging because their intraspecific and interspecific morphological traits gradually change and diversify among species, especially in pelage color and patterning. This problem makes it challenging to perform conservation in both wild (in situ) and captive (ex situ) populations. Currently, there are approximately 150 captive spider monkeys in around 30 Japanese zoos, reflecting more than 120 years of generational changes. To understand the genetic structure of the Ateles population in Japan and promote its ex situ conservation, we performed a population genetic analysis. Genomic DNA was extracted from 127 individuals using their fresh hair follicles. We determined the nucleotide sequences of three mitochondrial DNA regions and the nucleotide lengths of nine nuclear microsatellite loci in all individuals. Our analysis revealed the maternal lineages of four species (A. chamek, A. fusciceps, A. geoffroyi, and A. hybridus) from mitochondrial DNA analysis, and we identified novel haplotypes not previously reported. By comparing the maternal lineages of each individual with zoos' breeding records, we discovered at least 29 hybrid individuals, comprising about 20% of the current Japanese population. The results of the nuclear microsatellite analysis confirmed the genetic structure of hybrid individuals and suggested the presence of additional hybrids that could not be identified based on maternal lineage analysis and zoos' breeding records alone. These findings can contribute to the more appropriate management of spider monkeys toward ex situ conservation.
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Affiliation(s)
- Haruka Kitayama
- Graduate School of Environmental Science, Hokkaido University, Sapporo, Hokkaido, Japan
| | | | - Kei Nemoto
- Japan Monkey Centre, Inuyama, Aichi, Japan
| | - Yuko Tawa
- Japan Monkey Centre, Inuyama, Aichi, Japan
- Wildlife Research Center, Kyoto University, Kyoto, Japan
| | - Koshiro Watanuki
- Japan Monkey Centre, Inuyama, Aichi, Japan
- Wildlife Research Center, Kyoto University, Kyoto, Japan
| | - Takashi Hayakawa
- Japan Monkey Centre, Inuyama, Aichi, Japan.
- Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Hokkaido, Japan.
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3
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Kong Y, Wen Z, Cai X, Tan L, Liu Z, Wang Q, Li Q, Yang N, Wang Y, Zhao Y. Genetic traceability, conservation effectiveness, and selection signatures analysis based on ancestral information: a case study of Beijing-You chicken. BMC Genomics 2025; 26:402. [PMID: 40275158 PMCID: PMC12023635 DOI: 10.1186/s12864-025-11563-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2025] [Accepted: 04/02/2025] [Indexed: 04/26/2025] Open
Abstract
BACKGROUND Genetic resources are essential components of biodiversity. As national strategy, the conservation of genetic resources is crucial not only for biodiversity but also for sustainable agriculture and cultural heritage. However, the exact origin of most local breeds remains unclear at the genomic level. The conservation efforts are becoming more challenging as local breeds are currently experiencing genetic drift and admixture, which may be further complicated by historical hybridizations. A typical example is the Beijing-You chicken, a local breed renowned for its excellent meat flavor and unique appearance. With a relatively recent history (~ 300 years), it displays mixed phenotypes which may have resulted from genomic admixture, with its exact origin yet to be determined. RESULTS Through comprehensive genomic similarity analysis, we identified 12 genetic donor breeds for the Beijing-You chicken and quantified their genetic contributions, with the highest ancestry proportion coming from Henan chickens. The local ancestry components and genomic structure analyses of the Beijing-You chicken suggest recent hybridization in the formation of this breed. Furthermore, we innovatively used ancestry components as new material for genetic evaluation and selection signature detection, demonstrating that conservation efforts over the past decade have been effective. Analysis of selection signatures revealed genes and regions associated with polydactyly, egg production, intramuscular fat, and spermatogenesis. CONCLUSIONS By integrating various analytical strategies, we developed a novel framework for genetic traceability and evaluation. Our results highlight the effectiveness of ancestry components in genetic assessment and offer valuable insights for the conservation, improvement, and sustainable utilization of local breeds.
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Affiliation(s)
- Yuan Kong
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Zilong Wen
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Xinyu Cai
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Lizhi Tan
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Zexuan Liu
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Qiao Wang
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Qinghe Li
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Ning Yang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Yuzhan Wang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
- National Research Facility for Phenotypic and Genotypic Analysis of Model Animals (Beijing), China Agricultural University, Beijing, 100193, China.
| | - Yiqiang Zhao
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
- National Research Facility for Phenotypic and Genotypic Analysis of Model Animals (Beijing), China Agricultural University, Beijing, 100193, China.
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4
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Faulk C, Walls C, Nelson B, Arakaki PR, Gonzalez IHL, Banevicius N, Teixeira RHF, Medeiros MA, Silva GP, Talebi M, Chung WCJ, Takeshita RSC. De novo whole-genome assembly of the critically endangered southern muriqui (Brachyteles arachnoides). G3 (BETHESDA, MD.) 2025; 15:jkaf034. [PMID: 39960481 PMCID: PMC12005144 DOI: 10.1093/g3journal/jkaf034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Accepted: 02/08/2025] [Indexed: 04/18/2025]
Abstract
The southern muriqui (Brachyteles arachnoides) is one of the 2 species of muriquis (genus Brachyteles), the largest body-sized nonhuman primate from the Neotropics. Deforestation and illegal hunting have led to a continuing decline in the muriqui population, leading to their current classification as critically endangered. The lack of a reference genome for the genus Brachyteles prevents scientists from taking full advantage of genomic tools to improve their conservation status. This study reports the first whole-genome assemblies of the genus Brachyteles, using DNA from 2 zoo-housed southern muriqui females. We performed sequencing with Oxford Nanopore Technologies' PromethION 2 Solo using a native DNA library preparation to preserve DNA modifications. We used Flye to assemble genomes for each individual. The best final assembly was 2.6 Gb, in 319 contigs, with an N50 of 58.8 Mb and an L50 of 17. BUSCO completeness score for this assembly was 99.5%. The assembly of the second individual had similar quality, with a length of 2.6 Gb, 759 contigs, an N50 of 47.9 Mb, an L50 of 18, and a BUSCO completeness score of 99.04%. Both assemblies had <1% duplicates, missing, or fragments. Gene model mapper detected 24,353 protein-coding genes, and repetitive elements accounted for 46% of the genome. We also reported the mitogenome, which had 16,562 bp over 37 genes, and global methylation of CpG sites, which revealed a mean of 80% methylation. Our study provides a high-quality reference genome assembly for the southern muriqui, expanding the tools that can be used to aid in their conservation efforts.
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Affiliation(s)
- Christopher Faulk
- Department of Animal Science, University of Minnesota, Minneapolis, MN 55108, United States
| | - Carrie Walls
- Department of Animal Science, University of Minnesota, Minneapolis, MN 55108, United States
| | - Brandie Nelson
- Department of Biological Sciences, Kent State University, Kent, OH 44242, United States
| | - Paloma R Arakaki
- Coordenadoria de Fauna Silvestre, Secretaria de Meio Ambiente, Infraestrutura e Logística, São Paulo, SP 04301-905, Brazil
- Centro de Ciências da Natureza, Programa de Pós-Graduação em Conservação da Fauna, Universidade Federal de São Carlos, Buri, SP 18290-000, Brazil
| | - Irys H L Gonzalez
- Coordenadoria de Fauna Silvestre, Secretaria de Meio Ambiente, Infraestrutura e Logística, São Paulo, SP 04301-905, Brazil
| | - Nancy Banevicius
- Departamento de Pesquisa e Conservação da Fauna, Zoológico Municipal de Curitiba, Curitiba, PR 80020-290, Brazil
| | - Rodrigo H F Teixeira
- Departamento de Veterinária, Parque Zoológico Municipal Quinzinho de Barros, Sorocaba, SP 18020-286, Brazil
- Hospital Veterinário, Universidade de Sorocaba, Sorocaba, SP 18023-000, Brazil
- Programa de Pós-Graduação em Animais Silvestres, Universidade Estadual Paulista, Botucatu, SP 18618-681, Brazil
| | - Marina A Medeiros
- Departamento de Veterinária, Parque Zoológico Municipal Quinzinho de Barros, Sorocaba, SP 18020-286, Brazil
| | - Gessiane P Silva
- Instituto de Biodiversidades e Florestas, Universidade Federal do Oeste do Pará, PA, Santarém, PA 68035-110, Brazil
| | - Mauricio Talebi
- Departamento de Ciências Ambientais, Programa de Pós-Graduação Análise Ambiental Integrada, Universidade Federal de São Paulo, Diadema, SP 09913-030, Brazil
| | - Wilson C J Chung
- Department of Biological Sciences, Kent State University, Kent, OH 44242, United States
- School of Biomedical Sciences, Kent State University, Kent, OH 44242, United States
| | - Rafaela S C Takeshita
- School of Biomedical Sciences, Kent State University, Kent, OH 44242, United States
- Department of Anthropology, Kent State University, Kent, OH 44242, United States
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5
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Schell T, Greve C, Podsiadlowski L. Establishing genome sequencing and assembly for non-model and emerging model organisms: a brief guide. Front Zool 2025; 22:7. [PMID: 40247279 PMCID: PMC12004614 DOI: 10.1186/s12983-025-00561-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Accepted: 03/23/2025] [Indexed: 04/19/2025] Open
Abstract
Reference genome assemblies are the basis for comprehensive genomic analyses and comparisons. Due to declining sequencing costs and growing computational power, genome projects are now feasible in smaller labs. De novo genome sequencing for non-model or emerging model organisms requires knowledge about genome size and techniques for extracting high molecular weight DNA. Next to quality, the amount of DNA obtained from single individuals is crucial, especially, when dealing with small organisms. While long-read sequencing technologies are the methods of choice for creating high quality genome assemblies, pure short-read assemblies might bear most of the coding parts of a genome but are usually much more fragmented and do not well resolve repeat elements or structural variants. Several genome initiatives produce more and more non-model organism genomes and provide rules for standards in genome sequencing and assembly. However, sometimes the organism of choice is not part of such an initiative or does not meet its standards. Therefore, if the scientific question can be answered with a genome of low contiguity in intergenic parts, missing the high standards of chromosome scale assembly should not prevent publication. This review describes how to set up an animal genome sequencing project in the lab, how to estimate costs and resources, and how to deal with suboptimal conditions. Thus, we aim to suggest optimal strategies for genome sequencing that fulfil the needs according to specific research questions, e.g. "How are species related to each other based on whole genomes?" (phylogenomics), "How do genomes of populations within a species differ?" (population genomics), "Are differences between populations relevant for conservation?" (conservation genomics), "Which selection pressure is acting on certain genes?" (identification of genes under selection), "Did repeats expand or contract recently?" (repeat dynamics).
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Affiliation(s)
- Tilman Schell
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325, Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325, Frankfurt, Germany
| | - Carola Greve
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325, Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325, Frankfurt, Germany
| | - Lars Podsiadlowski
- LIB, Museum Koenig Bonn, Centre for Molecular Biodiversity Research (zmb), Adenauerallee 127, 53113, Bonn, Germany.
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6
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Chang Y, Zhang R, Liu Y, Liu Y, Tao L, Liu D, Ma Y, Sun W. Conservation genomics of a threatened subtropical Rhododendron species highlights the distinct conservation actions required in marginal and admixed populations. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2025; 122:e70175. [PMID: 40287966 PMCID: PMC12034323 DOI: 10.1111/tpj.70175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Revised: 04/03/2025] [Accepted: 04/10/2025] [Indexed: 04/29/2025]
Abstract
With the impact of climate change and anthropogenic activities, the underlying threats facing populations with different evolutionary histories and distributions, and the associated conservation strategies necessary to ensure their survival, may vary within a species. This is particularly true for marginal populations and/or those showing admixture. Here, we re-sequence genomes of 102 individuals from 21 locations for Rhododendron vialii, a threatened species distributed in the subtropical forests of southwestern China that has suffered from habitat fragmentation due to deforestation. Population structure results revealed that R. vialii can be divided into five genetic lineages using neutral single-nucleotide polymorphisms (SNPs), whereas selected SNPs divide the species into six lineages. This is due to the Guigu (GG) population, which is identified as admixed using neutral SNPs, but is assigned to a distinct genetic cluster using non-neutral loci. R. vialii has experienced multiple genetic bottlenecks, and different demographic histories have been suggested among populations. Ecological niche modeling combined with genomic offset analysis suggests that the marginal population (Northeast, NE) harboring the highest genetic diversity is likely to have the highest risk of maladaptation in the future. The marginal population therefore needs urgent ex situ conservation in areas where the influence of future climate change is predicted to be well buffered. Alternatively, the GG population may have the potential for local adaptation, and will need in situ conservation. The Puer population, which carries the heaviest genetic load, needs genetic rescue. Our findings highlight how population genomics, genomic offset analysis, and ecological niche modeling can be integrated to inform targeted conservation.
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Affiliation(s)
- Yuhang Chang
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of BotanyChinese Academy of SciencesKunming650201China
- University of Chinese Academy of SciencesBeijing101408China
| | - Rengang Zhang
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of BotanyChinese Academy of SciencesKunming650201China
- University of Chinese Academy of SciencesBeijing101408China
| | - Yang Liu
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of BotanyChinese Academy of SciencesKunming650201China
- University of Chinese Academy of SciencesBeijing101408China
| | - Yuhang Liu
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of BotanyChinese Academy of SciencesKunming650201China
| | - Lidan Tao
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of BotanyChinese Academy of SciencesKunming650201China
- University of Chinese Academy of SciencesBeijing101408China
| | - Detuan Liu
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of BotanyChinese Academy of SciencesKunming650201China
| | - Yongpeng Ma
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of BotanyChinese Academy of SciencesKunming650201China
- University of Chinese Academy of SciencesBeijing101408China
- State Key Laboratory of Plant Diversity and Specialty Crops, Kunming Institute of BotanyChinese Academy of SciencesKunming650201China
| | - Weibang Sun
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of BotanyChinese Academy of SciencesKunming650201China
- University of Chinese Academy of SciencesBeijing101408China
- State Key Laboratory of Plant Diversity and Specialty Crops, Kunming Institute of BotanyChinese Academy of SciencesKunming650201China
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7
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Walling LK, Gamache MH, González-Pech RA, Harwood VJ, Ibrahim-Hashim A, Jung JH, Lewis DB, Margres MJ, McMinds R, Rasheed K, Reis F, van Riemsdijk I, Santiago-Alarcon D, Sarmiento C, Whelan CJ, Zalamea PC, Parkinson JE, Richards CL. Incorporating microbiome analyses can enhance conservation of threatened species and ecosystem functions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2025; 970:178826. [PMID: 40054249 DOI: 10.1016/j.scitotenv.2025.178826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Revised: 01/30/2025] [Accepted: 02/09/2025] [Indexed: 03/17/2025]
Abstract
Conservation genomics is a rapidly growing subdiscipline of conservation biology that uses genome-wide information to inform management of biodiversity at all levels. Such efforts typically focus on species or systems of conservation interest, but rarely consider associated microbes. At least three major approaches have been used to study how microorganisms broadly contribute to conservation areas: (1) diversity surveys map out microbial species distribution patterns in a variety of hosts, natural environments or regions; (2) functional surveys associate microbial communities with factors of interest, such as host health, symbiotic interactions, environmental characteristics, ecosystem processes, and biological invasions; and (3) manipulative experiments examine the response of changes to microbial communities or determine the functional roles of specific microbes within hosts or communities by adding, removing, or genetically modifying microbes. In practice, multiple approaches are often applied simultaneously. The results from all three conservation genomics approaches can be used to help design practical interventions and improve management actions, some of which we highlight below. However, experimental manipulations allow for more robust causal inferences and should be the ultimate goal of future work. Here we discuss how further integration of microbial research of a host's microbiome and of free living microbes into conservation biology will be an essential advancement for conservation of charismatic organisms and ecosystem functions in light of ongoing global environmental change.
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Affiliation(s)
| | - Matthew H Gamache
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA
| | - Raúl A González-Pech
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA; Department of Biology, The Pennsylvania State University, University Park, PA, USA
| | - Valerie J Harwood
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA
| | - Arig Ibrahim-Hashim
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA; Department of Metabolism and Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA; Faculty of Education and Arts, Sohar University, Sohar, Oman
| | - Jun Hee Jung
- Plant Evolutionary Ecology Group, University of Tübingen, Tübingen, Germany
| | - David B Lewis
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA
| | - Mark J Margres
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA
| | - Ryan McMinds
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA; Center for Global Health and Interdisciplinary Research (GHIDR), University of South Florida, Tampa, FL, USA; Northwest Indian Fisheries Commission
| | - Kiran Rasheed
- Department of Metabolism and Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Frank Reis
- Plant Evolutionary Ecology Group, University of Tübingen, Tübingen, Germany
| | - Isolde van Riemsdijk
- Plant Evolutionary Ecology Group, University of Tübingen, Tübingen, Germany; Biodiversity and Evolution, Lund University, Lund, Sweden
| | | | - Carolina Sarmiento
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA; Smithsonian Tropical Research Institute, Panama City, Republic of Panama
| | - Christopher J Whelan
- Department of Metabolism and Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA; Department of Biological Sciences, University of Illinois at Chicago, Chicago, IL, USA
| | - Paul-Camilo Zalamea
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA; Smithsonian Tropical Research Institute, Panama City, Republic of Panama
| | | | - Christina L Richards
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA; Plant Evolutionary Ecology Group, University of Tübingen, Tübingen, Germany.
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8
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Carneiro CM, Shields-Estrada A, Boville AE, Alves-Ferreira G, Xu T, Arnott RLW, Allen-Love CM, Puertas M, Jacisin JJ, Tripp HC, Basham EW, Zamudio KR, Belasen AM. Toward a Global Science of Conservation Genomics: Coldspots in Genomic Resources Highlight a Need for Equitable Collaborations and Capacity Building. Mol Ecol 2025:e17729. [PMID: 40091865 DOI: 10.1111/mec.17729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Revised: 02/11/2025] [Accepted: 03/06/2025] [Indexed: 03/19/2025]
Abstract
Advances in genomic sequencing have magnified our understanding of ecological and evolutionary mechanisms relevant to biodiversity conservation. As a result, the field of conservation genomics has grown rapidly. Genomic data can be effective in guiding conservation decisions by revealing fine-scale patterns of genetic diversity and adaptation. Adaptive potential, sometimes referred to as evolutionary potential, is particularly informative for conservation due to its inverse relationship with extinction risk. Yet, global coldspots in genomic resources impede progress toward conservation goals. We undertook a systematic literature review to characterise the global distribution of genomic resources for amphibians and reptiles relative to species richness, IUCN status, and predicted global change. We classify the scope of available genomic resources by their potential applicability to global change. Finally, we examine global patterns of collaborations in genomic studies. Our findings underscore current priorities for expanding genomic resources, especially those aimed at predicting adaptive potential to future environmental change. Our results also highlight the need for improved global collaborations in genomic research, resource sharing, and capacity building in the Global South.
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Affiliation(s)
- Céline M Carneiro
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA
| | | | - Alexandra E Boville
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Gabriela Alves-Ferreira
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA
- Programa de Pós-Graduação Em Ecologia e Conservação da Biodiversidade, Universidade Estadual de Santa Cruz, Ilhéus, Brazil
| | - Tianyi Xu
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Ryan L Wong Arnott
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Chloé M Allen-Love
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Micaela Puertas
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA
- Departamento Académico de Biología, Universidad Nacional Agraria la Molina, Lima, Peru
| | - John J Jacisin
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Hannah Chapman Tripp
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Edmund W Basham
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Kelly R Zamudio
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Anat M Belasen
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA
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9
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Kobayashi J, Honda R, Hosoya S, Nochiri Y, Matsuzaki K, Sugimoto K, Nagano AJ, Kumagai A, Kikuchi K, Kurokawa T. Genome-Assisted Gene-Flow Rescued Genetic Diversity Without Hindering Growth Performance in an Inbred Coho Salmon (Oncorhynchus kisutch) Population Selected for High Growth Phenotype. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2025; 27:38. [PMID: 39890695 PMCID: PMC11785656 DOI: 10.1007/s10126-025-10416-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Accepted: 01/15/2025] [Indexed: 02/03/2025]
Abstract
Selective breeding is a powerful tool for improving aquaculture production. A well-managed breeding program is essential, as populations can otherwise lose genetic diversity, leading to reduced selection response and inbreeding excesses. In such cases, genetic diversity in broodstock must be restored by introducing individuals from external populations. However, this can reduce the accumulated genetic gains from selective breeding. However, the selective introduction of individuals with superior phenotypes will allow the restoration of genetic diversity without sacrificing these gains. In this study, we demonstrated this possibility using a selectively bred (SB) and a randomly bred (RB) population of coho salmon (Oncorhynchus kisutch). Forty males with superior growth were selected from the RB population using genomic selection and crossed with 127 randomly collected females from the SB population, producing a newly bred (NB) population. Genetic diversity, assessed from population statistics such as effective number of alleles, allele richness, and observed heterozygosity of 11 microsatellite markers, was higher in NB than in SB and RB. Additionally, fork length and body weight were compared among the three populations after 12 months of growth post-fertilization in common tanks. The least-squares means of fork length and body weight were similar between NB (164.9 mm and 57.9 g) and SB (161.1 mm and 53.7 g), while both were significantly greater than RB (150.4 mm and 43.0 g). Our results highlight the effectiveness of genome-assisted gene flow in restoring the genetic diversity of a population without compromising accumulated genetic gain in growth.
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Affiliation(s)
- Junya Kobayashi
- Fisheries Laboratory, Graduate School of Agricultural and Life Sciences, University of Tokyo, 2971-4 Bentenjima, Maisaka, Hamamatsu, Shizuoka, 431-0214, Japan
| | - Ryo Honda
- Miyagi Prefecture Fisheries Technology Institute, Freshwater Fisheries Experimental Station., Miyagi, Taiwa, 981-3625, Japan
| | - Sho Hosoya
- Fisheries Laboratory, Graduate School of Agricultural and Life Sciences, University of Tokyo, 2971-4 Bentenjima, Maisaka, Hamamatsu, Shizuoka, 431-0214, Japan.
| | - Yuki Nochiri
- Miyagi Prefecture Fisheries Technology Institute, Freshwater Fisheries Experimental Station., Miyagi, Taiwa, 981-3625, Japan
| | - Keisuke Matsuzaki
- Miyagi Prefecture Fisheries Technology Institute, Freshwater Fisheries Experimental Station., Miyagi, Taiwa, 981-3625, Japan
| | - Koichi Sugimoto
- Miyagi Prefecture Fisheries Technology Institute, Freshwater Fisheries Experimental Station., Miyagi, Taiwa, 981-3625, Japan
| | - Atsushi J Nagano
- Faculty of Agriculture, Ryukoku University, Yokotani 1-5, Seta Ohe-Cho, Shiga , Otsu-Shi, 520-2194, Japan
- Institute for Advanced Biosciences, Keio University, 403-1 Nipponkoku, Daihouji, Tsuruoka, Yamagata, 997-0017, Japan
| | - Akira Kumagai
- Miyagi Prefecture Fisheries Technology Institute, Freshwater Fisheries Experimental Station., Miyagi, Taiwa, 981-3625, Japan
| | - Kiyoshi Kikuchi
- Fisheries Laboratory, Graduate School of Agricultural and Life Sciences, University of Tokyo, 2971-4 Bentenjima, Maisaka, Hamamatsu, Shizuoka, 431-0214, Japan
| | - Tadahide Kurokawa
- Fisheries Resource Institute, Japan, Fisheries Research and Education Agency , Kushiro Field Station, 116 Katsurakoi, Kushiro, Hokkaido, 085-0802, Japan
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10
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Lovász L, Sommer‐Trembo C, Barth JM, Scasta JD, Grancharova‐Hill R, Lemoine RT, Kerekes V, Merckling L, Bouskila A, Svenning J, Fages A. Rewilded horses in European nature conservation - a genetics, ethics, and welfare perspective. Biol Rev Camb Philos Soc 2025; 100:407-427. [PMID: 39279124 PMCID: PMC11718625 DOI: 10.1111/brv.13146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 09/02/2024] [Accepted: 09/05/2024] [Indexed: 09/18/2024]
Abstract
In recent decades, the integration of horses (Equus ferus) in European rewilding initiatives has gained widespread popularity due to their potential for regulating vegetation and restoring natural ecosystems. However, employing horses in conservation efforts presents important challenges, which we here explore and discuss. These challenges encompass the lack of consensus on key terms inherent to conservation and rewilding, the entrenched culture and strong emotions associated with horses, low genetic diversity and high susceptibility to hereditary diseases in animals under human selection, as well as insufficient consideration for the social behaviour of horses in wild-living populations. In addition, management of wild-living horses involves intricate welfare, ethics and legislative dimensions. Anthropocentric population-control initiatives may be detrimental to horse group structures since they tend to prioritise individual welfare over the health of populations and ecosystems. To overcome these challenges, we provide comprehensive recommendations. These involve a systematic acquisition of genetic information, a focus on genetic diversity rather than breed purity and minimal veterinary intervention in wild-living populations. Further, we advise allowing for natural top-down and bottom-up control - or, if impossible, simulating this by culling or non-lethal removal of horses - instead of using fertility control for population management. We advocate for intensified collaboration between conservation biologists and practitioners and enhanced communication with the general public. Decision-making should be informed by a thorough understanding of the genetic makeup, common health issues and dynamics, and social behaviour in wild-living horse populations. Such a holistic approach is essential to reconcile human emotions associated with horses with the implementation of conservation practices that are not only effective but also sustainable for the long-term viability of functional, biodiverse ecosystems, while rehabilitating the horse as a widespread wild-living species in Europe.
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Affiliation(s)
- Lilla Lovász
- Zoological Institute, Department of Environmental SciencesUniversity of BaselVesalgasse 1Basel4051Switzerland
| | - Carolin Sommer‐Trembo
- Department of PaleontologyUniversity of ZurichKarl‐Schmid‐Strasse 4Zurich8006Switzerland
| | - Julia M.I. Barth
- Zoological Institute, Department of Environmental SciencesUniversity of BaselVesalgasse 1Basel4051Switzerland
| | - John D. Scasta
- Department of Ecosystem Science and ManagementUniversity of Wyoming1000 E University AveLaramieWyoming82071USA
| | | | - Rhys T. Lemoine
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of BiologyAarhus UniversityNy Munkegade 116Aarhus C8000Denmark
| | - Viola Kerekes
- Hortobágy National Park DirectorateSumen u. 2Debrecen4024Hungary
| | - Léa Merckling
- Réserve Naturelle Petite Camargue Alsacienne1 Rue de la PiscicultureSaint‐Louis68300France
| | - Amos Bouskila
- Department of Life SciencesBen‐Gurion University of the NegevBen‐Gurion Blvd 1Beer‐Sheva84105Israel
| | - Jens‐Christian Svenning
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of BiologyAarhus UniversityNy Munkegade 116Aarhus C8000Denmark
| | - Antoine Fages
- Zoological Institute, Department of Environmental SciencesUniversity of BaselVesalgasse 1Basel4051Switzerland
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11
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Hauff L, Rasoanaivo NE, Razafindrakoto A, Ravelonjanahary H, Wright PC, Rakotoarivony R, Bergey CM. De Novo Genome Assembly for an Endangered Lemur Using Portable Nanopore Sequencing in Rural Madagascar. Ecol Evol 2025; 15:e70734. [PMID: 39777412 PMCID: PMC11705420 DOI: 10.1002/ece3.70734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 12/02/2024] [Accepted: 12/03/2024] [Indexed: 01/11/2025] Open
Abstract
As one of the most threatened mammalian taxa, lemurs of Madagascar are facing unprecedented anthropogenic pressures. To address conservation imperatives such as this, researchers have increasingly relied on conservation genomics to identify populations of particular concern. However, many of these genomic approaches necessitate high-quality genomes. While the advent of next-generation sequencing technologies and the resulting reduction in associated costs have led to the proliferation of genomic data and high-quality reference genomes, global discrepancies in genomic sequencing capabilities often result in biological samples from biodiverse host countries being exported to facilities in the Global North, creating inequalities in access and training within genomic research. Here, we present the first published reference genome for the endangered red-fronted brown lemur (Eulemur rufifrons) from sequencing efforts conducted entirely within the host country using portable Oxford Nanopore sequencing. Using an archived E. rufifrons specimen, we conducted long-read, nanopore sequencing at the Centre ValBio Research Station near Ranomafana National Park, in rural Madagascar, generating over 750 Gb of sequencing data from 10 MinION flow cells. Exclusively using this long-read data, we assembled 2.157 gigabase, 2980-contig nuclear assembly with an N50 of 101.6 Mb and a 17,108 bp mitogenome. The nuclear assembly had 30× average coverage and was comparable in completeness to other primate reference genomes, with a 96.1% BUSCO completeness score for primate-specific genes. As the first published reference genome for E. rufifrons and the only annotated genome available for the speciose Eulemur genus, this resource will prove vital for conservation genomic studies while our efforts exhibit the potential of this protocol to address research inequalities and build genomic capacity.
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Affiliation(s)
- Lindsey Hauff
- Department of Ecology, Evolution, and Natural ResourcesRutgers UniversityNew BrunswickNew JerseyUSA
- Center for Human Evolutionary StudiesRutgers UniversityNew BrunswickNew JerseyUSA
- Human Genetics Institute of New JerseyPiscatawayNew JerseyUSA
| | - Noa Elosmie Rasoanaivo
- Department of Zoology and Animal BiodiversityUniversity of AntananarivoAntananarivoMadagascar
| | | | | | - Patricia C. Wright
- Centre ValBio, Ranomafana National ParkIfanadianaMadagascar
- Department of AnthropologyStony Brook UniversityStony BrookNew YorkUSA
| | - Rindra Rakotoarivony
- Department of Biological Anthropology and Sustainable DevelopmentUniversity of AntananarivoAntananarivoMadagascar
| | - Christina M. Bergey
- Center for Human Evolutionary StudiesRutgers UniversityNew BrunswickNew JerseyUSA
- Human Genetics Institute of New JerseyPiscatawayNew JerseyUSA
- Department of GeneticsRutgers UniversityPiscatawayNew JerseyUSA
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12
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Mogano RR, Mpofu TJ, Mtileni B, Hadebe K. South African indigenous chickens' genetic diversity, and the adoption of ecological niche modelling and landscape genomics as strategic conservation techniques. Poult Sci 2025; 104:104508. [PMID: 39657468 PMCID: PMC11681890 DOI: 10.1016/j.psj.2024.104508] [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: 06/18/2024] [Revised: 10/14/2024] [Accepted: 11/04/2024] [Indexed: 12/12/2024] Open
Abstract
Selection pressures found in the prevailing production environments have shaped the genetic structure of indigenous chickens we see today. Indigenous chickens, raised in villages, provide essential genetic resources and income for poverty alleviation by providing affordable protein. However, they are threatened by predators, emerging diseases, and market demand for ideal breeds and fast production which causes loss of their valuable traits. The lack of knowledge about genetic diversity and genetic mechanisms underlying adaptive variants may compromise the goal of conserving indigenous chicken breeds. The main insights of the study are that indigenous chickens are highly diversified, and environmental factors play a key role in enabling chicken adaptation and distribution. Genomic and spatial technologies have made it possible to explore the genetic structure and fully comprehend the mechanism underlying the local adaptation of indigenous chickens. These technologies can aid in creating programs that enhance productivity and promote climate-resilient breeds. This review explores the impact of natural selection on indigenous chicken, genetic diversity, population size, and the advancement of technologies in understanding local adaptation drivers. In conclusion, this review highlights the importance of studying the habitats and how this will guide in conserving local breeds in their intended production environment.
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Affiliation(s)
- Reneilwe Rose Mogano
- Department of Animal Sciences, Tshwane University of Technology, Pretoria 0001, South Africa; Agricultural Research Council, Biotechnology Platform, Ondersterpoort 0110, South Africa
| | - Takalani Judas Mpofu
- Department of Animal Sciences, Tshwane University of Technology, Pretoria 0001, South Africa
| | - Bohani Mtileni
- Department of Animal Sciences, Tshwane University of Technology, Pretoria 0001, South Africa
| | - Khanyisile Hadebe
- Agricultural Research Council, Biotechnology Platform, Ondersterpoort 0110, South Africa.
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13
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Dai Z, Xie B, Xie C, Xiang J, Wang X, Li J, Zheng R, Wang Y. Comparative Metagenomic Analysis of the Gut Microbiota of Captive Pangolins: A Case Study of Two Species. Animals (Basel) 2024; 15:57. [PMID: 39795000 PMCID: PMC11718824 DOI: 10.3390/ani15010057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2024] [Revised: 12/19/2024] [Accepted: 12/23/2024] [Indexed: 01/13/2025] Open
Abstract
Pangolins, one of the most trafficked mammals, face significant health challenges in captivity, including digestive disorders and immune dysfunctions. These issues are closely linked to alterations in their gut microbiota, which play vital roles in the host metabolism, immunity, and overall health. This study investigated the differences in the gut microbiota composition and function between two pangolin species, Chinese pangolins (Manis pentadactyla) and Malayan pangolins (Manis javanica), under identical captive conditions to better understand their ecological adaptability and health implications. Using metagenomic sequencing, fecal samples from eight adult captive pangolins were analyzed, including four male Malayan pangolins and three male and one female Chinese pangolins. Comparative analyses of the alpha and beta diversities, microbial community structure, and functional profiles were performed. Both species harbored gut microbiota dominated by Firmicutes, Bacteroidetes, and Proteobacteria. However, the Chinese pangolins exhibited higher microbial diversity (Shannon index, p = 0.042; Simpson index, p = 0.037) and lower relative abundance of Proteobacteria compared with the Malayan pangolins. A functional analysis revealed significant differences in the metabolic pathways, where the Chinese pangolins demonstrated a higher potential for fiber degradation, whereas the Malayan pangolins exhibited elevated levels of antibiotic resistance genes and pathogenic taxa, such as Escherichia coli. These findings suggest that captivity duration and environmental stress likely contribute to the observed differences, with the Malayan pangolins experiencing greater dysbiosis due to longer captivity periods. This study provides valuable insights into the role of gut microbiota in pangolin health and offers a foundation for improving conservation strategies and captive care protocols.
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Affiliation(s)
- Zhengyu Dai
- College of Life Sciences, Zhejiang Normal University, Jinhua 321004, China; (Z.D.)
| | - Bowen Xie
- College of Life Sciences, Zhejiang Normal University, Jinhua 321004, China; (Z.D.)
| | - Chungang Xie
- Wildlife Protection and Management Station, Jinhua Municipal Bureau of Planning and Natural Resources, Jinhua 321052, China
| | - Jinsuo Xiang
- College of Life Sciences, Zhejiang Normal University, Jinhua 321004, China; (Z.D.)
| | - Xinmei Wang
- College of Life Sciences, Zhejiang Normal University, Jinhua 321004, China; (Z.D.)
- College of Ecology and Agriculture, Sichuan Minzu College, Chengdu 626001, China
| | - Jing Li
- College of Life Sciences, Zhejiang Normal University, Jinhua 321004, China; (Z.D.)
| | - Rongquan Zheng
- College of Life Sciences, Zhejiang Normal University, Jinhua 321004, China; (Z.D.)
- Key Lab of Wildlife Biotechnology, Conservation and Utilization of Zhejiang Province, Zhejiang Normal University, Jinhua 321004, China
| | - Yanni Wang
- College of Life Sciences, Zhejiang Normal University, Jinhua 321004, China; (Z.D.)
- Key Lab of Wildlife Biotechnology, Conservation and Utilization of Zhejiang Province, Zhejiang Normal University, Jinhua 321004, China
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14
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Wang M, Lin H, Lin H, Du P, Zhang S. From Species to Varieties: How Modern Sequencing Technologies Are Shaping Medicinal Plant Identification. Genes (Basel) 2024; 16:16. [PMID: 39858563 PMCID: PMC11765323 DOI: 10.3390/genes16010016] [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: 11/20/2024] [Revised: 12/24/2024] [Accepted: 12/25/2024] [Indexed: 01/27/2025] Open
Abstract
BACKGROUND/OBJECTIVES Modern sequencing technologies have transformed the identification of medicinal plant species and varieties, overcoming the limitations of traditional morphological and chemical approaches. This review explores the key DNA-based techniques, including molecular markers, DNA barcoding, and high-throughput sequencing, and their contributions to enhancing the accuracy and reliability of plant identification. Additionally, the integration of multi-omics approaches is examined to provide a comprehensive understanding of medicinal plant identity. METHODS The literature search for this review was conducted across databases such as Google Scholar, Web of Science, and PubMed, using keywords related to plant taxonomy, genomics, and biotechnology. Inclusion criteria focused on peer-reviewed studies closely related to plant identification methods and techniques that contribute significantly to the field. RESULTS The review highlights that while sequencing technologies offer substantial improvements, challenges such as high costs, technical expertise, and the lack of standardized protocols remain barriers to widespread adoption. Potential solutions, including AI-driven data analysis and portable sequencers, are discussed. CONCLUSIONS This review provides a comprehensive overview of molecular techniques, their transformative impact, and future perspectives for more accurate and efficient medicinal plant identification.
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Affiliation(s)
- Mingcheng Wang
- Institute for Advanced Study, Chengdu University, No. 2025 Chengluo Road, Chengdu 610106, China
- Engineering Research Center of Sichuan-Tibet Traditional Medicinal Plant, Chengdu 610106, China
| | - Haifeng Lin
- School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (H.L.); (P.D.); (S.Z.)
| | - Hongqiang Lin
- Sichuan Wolong National Natural Reserve Administration Bureau, Wenchuan 623006, China;
| | - Panyue Du
- School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (H.L.); (P.D.); (S.Z.)
| | - Shuqiao Zhang
- School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (H.L.); (P.D.); (S.Z.)
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15
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Zhou C, Wang Z, Wang X, Qu H, Song Z. Chromosome-Level Genome Assembly and Genetic Maker System of the Endangered Largemouth Bronze Gudgeon (Coreius guichenoti) with Focus on Conservation Applications. Integr Zool 2024. [PMID: 39690135 DOI: 10.1111/1749-4877.12926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2024] [Revised: 09/13/2024] [Accepted: 10/31/2024] [Indexed: 12/19/2024]
Abstract
The largemouth bronze gudgeon (Coreius guichenoti), an endemic fish species, is distributed in the upper Yangtze River drainage. Due to anthropogenetic factors such as water pollution, overfishing, and dam construction, the wild populations of C. guichenoti have dramatically declined in recent decades. In this study, we generated a reference chromosomal-level genome assembly of C. guichenoti on the basis of PacBio HiFi sequencing and Hi-C scaffolding technologies. The final genome assembly was 1.10 Gb in length (contig N50: 28.64 Mb; scaffold N50: 42.39 Mb) with 25 chromosomes. The completeness score of the C. guichenoti genome was 96.4%, and high synteny was detected compared with Danio rerio and Ictalurus punctatus genomes. A total of 24 325 PCGs were annotated for the C. guichenoti genome. Comparative genomics analysis identified 986 expanded gene families in C. guichenoti, which were significantly enriched in GO items associated with the development and interaction of sperm and egg as well as immunity. Furthermore, positively selected genes (PSGs) detected in C. guichenoti were mainly associated with DNA repair, ATP binding, mitochondrion, and lipid homeostasis. Based on the reference genome and resequencing data, the polymorphic microsatellite (SSR) loci were comprehensively analyzed for C. guichenoti, and the top 15 tetra-nucleotide SSR loci were selected for the construction of the genetic maker system after validation through PCR and genotyping. All of these 15 tetra-nucleotide SSR loci without Hardy-Weinberg equilibrium (HWE) deviation showed high polymorphism, good amplification stability, and selective neutrality. The PID (sibs) curves revealed that the subset of four tetra-nucleotide SSR loci (cgui1, cgui5, cgui3, cgui13) was sufficient for accurate identification of C. guichenoti individuals (PIDsib < 0.01). These 15 tetra-nucleotide SSR loci could also serve as genetic markers in subsequent parentage identification and genetic diversity analysis. The chromosome-level genome assembly and findings laid solid foundations for molecular breeding, genomic research, and biological conservation of C. guichenoti.
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Affiliation(s)
- Chuang Zhou
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
- Observation and Research Station of Sichuan Province of Fish Resources and Environment in Upper Reaches of the Yangtze River, College of Life Sciences, Sichuan University, Chengdu, China
| | - Zhongyi Wang
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
- Observation and Research Station of Sichuan Province of Fish Resources and Environment in Upper Reaches of the Yangtze River, College of Life Sciences, Sichuan University, Chengdu, China
| | - Xiaodong Wang
- Faculty of Agriculture, Forest and Food Engineering, Yibin University, Yibin, Sichuan, China
| | - Huantao Qu
- Institute of Chinese Sturgeon, China Three Gorges Corporation, Yichang, China
| | - Zhaobin Song
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
- Observation and Research Station of Sichuan Province of Fish Resources and Environment in Upper Reaches of the Yangtze River, College of Life Sciences, Sichuan University, Chengdu, China
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16
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Mussmann SM. Assembly and annotation of a chromosome-level reference genome for the endangered Colorado pikeminnow (Ptychocheilus lucius). G3 (BETHESDA, MD.) 2024; 14:jkae217. [PMID: 39268723 PMCID: PMC11540322 DOI: 10.1093/g3journal/jkae217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Accepted: 09/02/2024] [Indexed: 09/15/2024]
Abstract
Advancements in genome sequencing technology have brought unprecedented accessibility of high-throughput sequencing to species of conservation interest. The potential knowledge gained from application of these techniques is maximized by availability of high-quality, annotated reference genomes for endangered species. However, these vital resources are often lacking for endangered minnows of North America (Cypriniformes: Leuciscidae). One such endangered species, Colorado pikeminnow (Ptychocheilus lucius), is the largest North American minnow and the top-level native aquatic predator in the Colorado River Basin of the southwestern United States and northwestern Mexico. Over the past century, Colorado pikeminnow has suffered habitat loss and population declines due to anthropogenic habitat modifications and invasive species introductions. The lack of genetic resources for Colorado pikeminnow has hindered conservation genomic study of this unique organism. This study seeks to remedy this issue by presenting a high-quality reference genome for Colorado pikeminnow developed from Pacific Biosciences HiFi sequencing and Hi-C scaffolding. The final assembly was a 1.1 Gb genome comprised of 305 contigs including 25 chromosome-sized scaffolds. Measures of quality, contiguity, and completeness met or exceeded those observed for Danio rerio (Danionidae) and 2 other Colorado River Basin leuciscids (Meda fulgida and Tiaroga cobitis). Comparative genomic analyses identified enrichment of gene families for growth, development, immune activity, and gene transcription; all of which are important for a large-bodied piscivorous fish living in a dynamic environment. This reference genome will provide a basis for important conservation genomic study of Colorado pikeminnow and help efforts to better understand the evolution of desert fishes.
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Affiliation(s)
- Steven M Mussmann
- Southwestern Native Aquatic Resources and Recovery Center, U.S. Fish and Wildlife Service, 7116 Hatchery Road, Dexter, NM 88230, USA
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17
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Yi H, Wang J, Dong S, Kang M. Genomic signatures of inbreeding and mutation load in tree ferns. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 120:1522-1535. [PMID: 39387366 DOI: 10.1111/tpj.17064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 09/11/2024] [Accepted: 09/23/2024] [Indexed: 10/15/2024]
Abstract
Ferns (Pteridophyta), as the second largest group of vascular plants, play important roles in ecosystem functioning. Homosporous ferns exhibit a remarkable range of mating systems, from extreme inbreeding to obligate outcrossing, which may have significant evolutionary and ecological implications. Despite their significance, the impact of genome-wide inbreeding on genetic diversity and mutation load within the fern lineage remain largely unexplored. In this study, we utilized whole-genome sequencing to investigate the genomic signatures of inbreeding and genetic load in three Alsophila tree fern species. Our analysis revealed extremely high inbreeding in A. spinulosa, in contrast to the predominantly outcrossing observed in A. costularis and A. latebrosa. This difference likely reflects divergent mating systems and demographic histories. Consistent with its extreme inbreeding propensity, A. spinulosa exhibits reduced genetic diversity and a pronounced decline in effective population size. Comparison of genetic load revealed an overall reduction in deleterious mutations in the highly inbred A. spinulosa, highlighting that long-term inbreeding may have contributed to the purging of strongly deleterious mutations, thereby prolonging the survival of A. spinulosa. Despite this, however, A. spinulosa carries a substantive realized genetic load that may potentially instigate future fitness decline. Our findings illuminate the complex evolutionary interplay between inbreeding and mutation load in homosporous ferns, yielding insights with important implications for the conservation and management of these species.
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Affiliation(s)
- Huiqin Yi
- Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern China, Guangzhou, 510650, China
- South China National Botanical Garden, Guangzhou, 510650, China
| | - Jing Wang
- Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern China, Guangzhou, 510650, China
- South China National Botanical Garden, Guangzhou, 510650, China
| | - Shiyong Dong
- Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern China, Guangzhou, 510650, China
- South China National Botanical Garden, Guangzhou, 510650, China
| | - Ming Kang
- Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern China, Guangzhou, 510650, China
- South China National Botanical Garden, Guangzhou, 510650, China
- State Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
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18
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Zhu X, Wang J, Chen H, Kang M. Lineage Differentiation and Genomic Vulnerability in a Relict Tree From Subtropical Forests. Evol Appl 2024; 17:e70033. [PMID: 39494192 PMCID: PMC11530410 DOI: 10.1111/eva.70033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 10/09/2024] [Accepted: 10/11/2024] [Indexed: 11/05/2024] Open
Abstract
The subtropical forests of East Asia are renowned for their high plant diversity, particularly the abundance of ancient relict species. However, both the evolutionary history of these relict species and their capacity for resilience in the face of impending climatic changes remain unclear. Using whole-genome resequencing data, we investigated the lineage differentiation and demographic history of the relict and endangered tree, Bretschneidera sinensis (Akaniaceae). We employed a combination of population genomic and landscape genomic approaches to evaluate variation in mutation load and genomic offset, aiming to predict how different populations may respond to climate change. Our analysis revealed a profound genomic divergence between the East and West lineages, likely as the result of recurrent bottlenecks due to climatic fluctuations during the glacial period. Furthermore, we identified several genes potentially linked to growth characteristics and hypoxia response that had been subjected to positive selection during the lineage differentiation. Our assessment of genomic vulnerability uncovered a significantly higher mutation load and genomic offset in the edge populations of B. sinensis compared to their core counterparts. This implies that the edge populations are likely to experience the most significant impact from the predicted climate conditions. Overall, our research sheds light on the historical lineage differentiation and contemporary genomic vulnerability of B. sinensis. Broadening our understanding of the speciation history and future resilience of relict and endangered species such as B. sinensis, is crucial in developing effective conservation strategies in anticipation of future climatic changes.
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Affiliation(s)
- Xian‐Liang Zhu
- Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern ChinaGuangzhouChina
- University of Chinese Academy of SciencesBeijingChina
| | - Jing Wang
- Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern ChinaGuangzhouChina
- South China National Botanical GardenGuangzhouChina
| | - Hong‐Feng Chen
- Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern ChinaGuangzhouChina
- South China National Botanical GardenGuangzhouChina
- State Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical GardenChinese Academy of SciencesGuangzhouChina
| | - Ming Kang
- Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern ChinaGuangzhouChina
- South China National Botanical GardenGuangzhouChina
- State Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical GardenChinese Academy of SciencesGuangzhouChina
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19
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Budd AM, Yong SY, Heydenrych MJ, Mayne B, Berry O, Jarman S. Universal prediction of vertebrate species age at maturity. Commun Biol 2024; 7:1414. [PMID: 39478142 PMCID: PMC11526025 DOI: 10.1038/s42003-024-07046-z] [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: 05/20/2024] [Accepted: 10/10/2024] [Indexed: 11/02/2024] Open
Abstract
Animal age at maturity can be used as a universal and simple predictor of species extinction risk. At present, methods to estimate age at maturity are typically species-specific, limiting comparisons among species, or are infeasible due to practical constraints. To overcome this, here we develop a universal predictor of species-level age at maturity for vertebrates. We show that modelling the frequency of 'CG' sequences (CpG sites) in gene promoter regions yields rapid predictions of vertebrate age at maturity. Our models predict age at maturity with remarkable accuracy and generalisability, with median error rates of 30% (less than 1 year) and are robust to genome assemblies of varying quality. We generate predictions for 1912 vertebrate species for which age at maturity estimates were previously absent from public databases. The predictions can be used to help to inform management decisions for the many species for which more detailed population information is currently unavailable.
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Affiliation(s)
- Alyssa M Budd
- Environomics Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Crawley, WA, Australia.
| | - Suk Yee Yong
- CSIRO Information Management & Technology (IM&T) Scientific Computing, Eveleigh, NSW, Australia
| | - Matthew J Heydenrych
- Environomics Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Crawley, WA, Australia
- School of Biological Sciences, The University of Western Australia, Crawley, WA, Australia
| | - Benjamin Mayne
- Environomics Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Crawley, WA, Australia
| | - Oliver Berry
- Environomics Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Crawley, WA, Australia
| | - Simon Jarman
- Environomics Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Crawley, WA, Australia
- School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
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20
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Shahmohamadloo RS, Rudman SM, Clare CI, Westrick JA, Wang X, De Meester L, Fryxell JM. Intraspecific diversity is critical to population-level risk assessments. Sci Rep 2024; 14:25883. [PMID: 39468236 PMCID: PMC11519591 DOI: 10.1038/s41598-024-76734-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: 08/07/2024] [Accepted: 10/16/2024] [Indexed: 10/30/2024] Open
Abstract
Environmental risk assessment (ERA) is critical for protecting life by predicting population responses to contaminants. However, routine toxicity testing often examines only one genotype from surrogate species, potentially leading to inaccurate risk assessments, as natural populations typically consist of genetically diverse individuals. To evaluate the importance of intraspecific variation in translating toxicity testing to natural populations, we quantified the magnitude of phenotypic variation between 20 Daphnia magna clones exposed to two levels of microcystins, a cosmopolitan cyanobacterial toxin. We observed significant genetic variation in survival, growth, and reproduction, which increased under microcystins exposure. Simulations of survival showed that using a single genotype for toxicity tolerance estimates on average failed to produce accurate predictions within the 95% confidence interval over half of the time. Whole genome sequencing of the 20 clones tested for correlations between toxicological responses and genomic divergence, including candidate loci from prior gene expression studies. We found no overall correlations, indicating that clonal variation, rather than variation at candidate genes, predicts population-level responses to toxins. These results highlight the importance of incorporating broad intraspecific genetic variation, without focusing specifically on variation in candidate genes, into ERAs to more reliably predict how local populations will respond to contaminants.
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Affiliation(s)
- René S Shahmohamadloo
- School of Biological Sciences, Washington State University, Vancouver, Washington, WA, 98686, USA.
- Department of Integrative Biology, University of Guelph, Guelph, ON, N1G 2W1, Canada.
| | - Seth M Rudman
- School of Biological Sciences, Washington State University, Vancouver, Washington, WA, 98686, USA.
- Department of Integrative Biology, University of Guelph, Guelph, ON, N1G 2W1, Canada.
| | - Catherine I Clare
- School of Biological Sciences, Washington State University, Vancouver, Washington, WA, 98686, USA
| | - Judy A Westrick
- Department of Chemistry, Wayne State University, Detroit, MI, 48202, USA
| | - Xueqi Wang
- Department of Integrative Biology, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - Luc De Meester
- Laboratory of Aquatic Ecology, Evolution, and Conservation, University of Leuven, Leuven, 3000, Belgium
| | - John M Fryxell
- Department of Integrative Biology, University of Guelph, Guelph, ON, N1G 2W1, Canada
- Department of Biology, University of Victoria, British Columbia, Victoria, V8P 5C2, Canada
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21
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Feng J, Dan X, Cui Y, Gong Y, Peng M, Sang Y, Ingvarsson PK, Wang J. Integrating evolutionary genomics of forest trees to inform future tree breeding amid rapid climate change. PLANT COMMUNICATIONS 2024; 5:101044. [PMID: 39095989 PMCID: PMC11573912 DOI: 10.1016/j.xplc.2024.101044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 06/03/2024] [Accepted: 07/31/2024] [Indexed: 08/04/2024]
Abstract
Global climate change is leading to rapid and drastic shifts in environmental conditions, posing threats to biodiversity and nearly all life forms worldwide. Forest trees serve as foundational components of terrestrial ecosystems and play a crucial and leading role in combating and mitigating the adverse effects of extreme climate events, despite their own vulnerability to these threats. Therefore, understanding and monitoring how natural forests respond to rapid climate change is a key priority for biodiversity conservation. Recent progress in evolutionary genomics, driven primarily by cutting-edge multi-omics technologies, offers powerful new tools to address several key issues. These include precise delineation of species and evolutionary units, inference of past evolutionary histories and demographic fluctuations, identification of environmentally adaptive variants, and measurement of genetic load levels. As the urgency to deal with more extreme environmental stresses grows, understanding the genomics of evolutionary history, local adaptation, future responses to climate change, and conservation and restoration of natural forest trees will be critical for research at the nexus of global change, population genomics, and conservation biology. In this review, we explore the application of evolutionary genomics to assess the effects of global climate change using multi-omics approaches and discuss the outlook for breeding of climate-adapted trees.
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Affiliation(s)
- Jiajun Feng
- Key Laboratory for Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Xuming Dan
- Key Laboratory for Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Yangkai Cui
- Key Laboratory for Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Yi Gong
- Key Laboratory for Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Minyue Peng
- Key Laboratory for Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Yupeng Sang
- Key Laboratory for Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Pär K Ingvarsson
- Department of Plant Biology, Linnean Centre for Plant Biology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Jing Wang
- Key Laboratory for Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China.
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22
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Langschied F, Bordin N, Cosentino S, Fuentes-Palacios D, Glover N, Hiller M, Hu Y, Huerta-Cepas J, Coelho LP, Iwasaki W, Majidian S, Manzano-Morales S, Persson E, Richards TA, Gabaldón T, Sonnhammer E, Thomas PD, Dessimoz C, Ebersberger I. Quest for Orthologs in the Era of Biodiversity Genomics. Genome Biol Evol 2024; 16:evae224. [PMID: 39404012 PMCID: PMC11523110 DOI: 10.1093/gbe/evae224] [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: 10/11/2024] [Indexed: 11/01/2024] Open
Abstract
The era of biodiversity genomics is characterized by large-scale genome sequencing efforts that aim to represent each living taxon with an assembled genome. Generating knowledge from this wealth of data has not kept up with this pace. We here discuss major challenges to integrating these novel genomes into a comprehensive functional and evolutionary network spanning the tree of life. In summary, the expanding datasets create a need for scalable gene annotation methods. To trace gene function across species, new methods must seek to increase the resolution of ortholog analyses, e.g. by extending analyses to the protein domain level and by accounting for alternative splicing. Additionally, the scope of orthology prediction should be pushed beyond well-investigated proteomes. This demands the development of specialized methods for the identification of orthologs to short proteins and noncoding RNAs and for the functional characterization of novel gene families. Furthermore, protein structures predicted by machine learning are now readily available, but this new information is yet to be integrated with orthology-based analyses. Finally, an increasing focus should be placed on making orthology assignments adhere to the findable, accessible, interoperable, and reusable (FAIR) principles. This fosters green bioinformatics by avoiding redundant computations and helps integrating diverse scientific communities sharing the need for comparative genetics and genomics information. It should also help with communicating orthology-related concepts in a format that is accessible to the public, to counteract existing misinformation about evolution.
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Affiliation(s)
- Felix Langschied
- Department for Applied Bioinformatics, Institute of Cell Biology and Neuroscience, Goethe University, Frankfurt, Germany
| | - Nicola Bordin
- Institute of Structural and Molecular Biology, University College London, WC1E 6BT, London, UK
| | - Salvatore Cosentino
- Department of Integrated Biosciences, The University of Tokyo, 277-0882 Tokyo, Japan
| | - Diego Fuentes-Palacios
- Barcelona Supercomputing Center (BSC-CNS), 08034 Barcelona, Spain
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
| | - Natasha Glover
- SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland
| | - Michael Hiller
- Department of Comparative Genomics, Institute of Cell Biology and Neuroscience, Goethe University, Frankfurt, Germany
| | - Yanhui Hu
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Drosophila RNAi Screening Center, Harvard Medical School, Boston, MA 02115, USA
| | - Jaime Huerta-Cepas
- Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Campus de Montegancedo-UPM, Madrid, Spain
| | - Luis Pedro Coelho
- Centre for Microbiome Research, School of Biomedical Sciences, Queensland University of Technology, Translational Research Institute, Woolloongabba, Queensland, Australia
| | - Wataru Iwasaki
- Department of Integrated Biosciences, University of Tokyo, 277-0882 Tokyo, Japan
| | - Sina Majidian
- SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland
| | - Saioa Manzano-Morales
- Barcelona Supercomputing Center (BSC-CNS), 08034 Barcelona, Spain
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
| | - Emma Persson
- Department of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Solna, Sweden
| | | | - Toni Gabaldón
- Barcelona Supercomputing Center (BSC-CNS), 08034 Barcelona, Spain
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
| | - Erik Sonnhammer
- Department of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Solna, Sweden
| | - Paul D Thomas
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Christophe Dessimoz
- SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland
| | - Ingo Ebersberger
- Department for Applied Bioinformatics, Institute of Cell Biology and Neuroscience, Goethe University, Frankfurt, Germany
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Biodiversity and Climate Research Centre (S-BIK-F), Frankfurt am Main, Germany
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23
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Hermosilla-Albala N, Silva FE, Cuadros-Espinoza S, Fontsere C, Valenzuela-Seba A, Pawar H, Gut M, Kelley JL, Ruibal-Puertas S, Alentorn-Moron P, Faella A, Lizano E, Farias I, Hrbek T, Valsecchi J, Gut IG, Rogers J, Farh KKH, Kuderna LFK, Marques-Bonet T, Boubli JP. Whole genomes of Amazonian uakari monkeys reveal complex connectivity and fast differentiation driven by high environmental dynamism. Commun Biol 2024; 7:1283. [PMID: 39379612 PMCID: PMC11461705 DOI: 10.1038/s42003-024-06901-3] [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: 10/02/2023] [Accepted: 09/16/2024] [Indexed: 10/10/2024] Open
Abstract
Despite showing the greatest primate diversity on the planet, genomic studies on Amazonian primates show very little representation in the literature. With 48 geolocalized high coverage whole genomes from wild uakari monkeys, we present the first population-level study on platyrrhines using whole genome data. In a very restricted range of the Amazon rainforest, eight uakari species (Cacajao genus) have been described and categorized into the bald and black uakari groups, based on phenotypic and ecological differences. Despite a slight habitat overlap, we show that posterior to their split 0.92 Mya, bald and black uakaris have remained independent, without gene flow. Nowadays, these two groups present distinct genetic diversity and group-specific variation linked to pathogens. We propose differing hydrology patterns and effectiveness of geographic barriers have modulated the intra-group connectivity and structure of bald and black uakari populations. With this work we have explored the effects of the Amazon rainforest's dynamism on wild primates' genetics and increased the representation of platyrrhine genomes, thus opening the door to future research on the complexity and diversity of primate genomics.
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Grants
- T.M.B gratefully acknowledges the financial support from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 864203), (PID2021-126004NB-100) (MICIIN/FEDER, UE) and from the Secretaria d’Universitats i Recerca and CERCA Programme del Departament d’Economia i Coneixement de la Generalitat de Catalunya (GRC 2021 SGR 00177). J.P.B. gratefully acknowledges the financial support from the Natural Environment Research Council (NERC) (NE/T000341/1). F.E.S. gratefully acknowledges the financial support from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement (801505), the Fonds National de la Recherche Scientifique (F.R.S.-FNRS, Belgium; grant 40017464) Brazilian National Council for Scientific and Technological Development (CNPq) (Processes 303286/2014-8, 303579/2014-5, 200502/2015-8, 302140/2020-4, 300365/2021-7, 301407/2021-5, #301925/2021-6), the International Primatological Society (Conservation grant). The Rufford Foundation (14861-1, 23117-2, 38786-B), the Margot Marsh Biodiversity Foundation (SMA-CCO-G0023, SMA-CCOG0037), the Primate Conservation Inc. (1713 and 1689) and the Gordon and Betty Moore Foundation (Grant 5344) (Mamirauá Institute for Sustainable Development). N.H.-A. gratefully acknowledges the financial support from the Government of Catalonia | Agència de Gestió d'Ajuts Universitaris i de Recerca (Agency for Management of University and Research Grants) (FI_00040).
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Affiliation(s)
- Núria Hermosilla-Albala
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003, Barcelona, Spain.
| | - Felipe Ennes Silva
- Research Unit of Evolutionary Biology and Ecology, Département de Biologie des Organismes, Université libre de Bruxelles (ULB), Brussels, Belgium
- Research Group on Primate Biology and Conservation, Mamirauá Institute for Sustainable Development, Tefé, Amazonas, Brazil
| | - Sebastián Cuadros-Espinoza
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003, Barcelona, Spain
| | - Claudia Fontsere
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003, Barcelona, Spain
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Øster Farimagsgade 5A, 1352, Copenhagen, Denmark
| | - Alejandro Valenzuela-Seba
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003, Barcelona, Spain
| | - Harvinder Pawar
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003, Barcelona, Spain
| | - Marta Gut
- Centro Nacional de Análisis Genómico (CNAG), C/Baldiri Reixac 4, 08028, Barcelona, Spain
| | - Joanna L Kelley
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, 130 McAllister Way, Santa Cruz, CA, 95060, USA
| | - Sandra Ruibal-Puertas
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003, Barcelona, Spain
| | - Pol Alentorn-Moron
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003, Barcelona, Spain
| | - Armida Faella
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003, Barcelona, Spain
| | - Esther Lizano
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003, Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, Cerdanyola del Vallès, 08193, Barcelona, Spain
| | - Izeni Farias
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Amazonas, 69080-900, Brazil
| | - Tomas Hrbek
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Amazonas, 69080-900, Brazil
- Department of Biology, Trinity University, San Antonio, TX, 78212, USA
| | - Joao Valsecchi
- Research Group on Terrestrial Vertebrate Ecology, Mamirauá Institute for Sustainable Development, Tefé, Amazonas, Brazil
- Rede de Pesquisa para Estudos sobre Diversidade, Conservação e Uso da Fauna na Amazônia-RedeFauna, Manaus, Amazonas, Brazil
- Comunidad de Manejo de Fauna Silvestre en la Amazonía y en Latinoamérica-ComFauna, Iquitos, Loreto, Peru
| | - Ivo G Gut
- Centro Nacional de Análisis Genómico (CNAG), C/Baldiri Reixac 4, 08028, Barcelona, Spain
| | - Jeffrey Rogers
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Kyle Kai-How Farh
- Illumina Artificial Intelligence Laboratory, Illumina Inc., San Diego, CA, 94404, USA
| | - Lukas F K Kuderna
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003, Barcelona, Spain
- Illumina Artificial Intelligence Laboratory, Illumina Inc., San Diego, CA, 94404, USA
| | - Tomas Marques-Bonet
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003, Barcelona, Spain
- Centro Nacional de Análisis Genómico (CNAG), C/Baldiri Reixac 4, 08028, Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, Cerdanyola del Vallès, 08193, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA) and Universitat Pompeu Fabra. Pg. Luís Companys 23, 08010, Barcelona, Spain
| | - Jean P Boubli
- School of Science, Engineering & Environment, University of Salford, Salford, M5 4WT, UK
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24
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Mc Cartney AM, Formenti G, Mouton A, De Panis D, Marins LS, Leitão HG, Diedericks G, Kirangwa J, Morselli M, Salces-Ortiz J, Escudero N, Iannucci A, Natali C, Svardal H, Fernández R, De Pooter T, Joris G, Strazisar M, Wood JMD, Herron KE, Seehausen O, Watts PC, Shaw F, Davey RP, Minotto A, Fernández JM, Böhne A, Alegria C, Alioto T, Alves PC, Amorim IR, Aury JM, Backstrom N, Baldrian P, Baltrunaite L, Barta E, BedHom B, Belser C, Bergsten J, Bertrand L, Bilandija H, Binzer-Panchal M, Bista I, Blaxter M, Borges PAV, Dias GB, Bosse M, Brown T, Bruggmann R, Buena-Atienza E, Burgin J, Buzan E, Cariani A, Casadei N, Chiara M, Chozas S, Čiampor F, Crottini A, Cruaud C, Cruz F, Dalen L, De Biase A, Del Campo J, Delic T, Dennis AB, Derks MFL, Diroma MA, Djan M, Duprat S, Eleftheriadi K, Feulner PGD, Flot JF, Forni G, Fosso B, Fournier P, Fournier-Chambrillon C, Gabaldon T, Garg S, Gissi C, Giupponi L, Gomez-Garrido J, González J, Grilo ML, Grüning B, Guerin T, Guiglielmoni N, Gut M, Haesler MP, Hahn C, Halpern B, Harrison PW, Heintz J, Hindrikson M, Höglund J, Howe K, Hughes GM, Istace B, Cock MJ, Janžekovič F, Jonsson ZO, et alMc Cartney AM, Formenti G, Mouton A, De Panis D, Marins LS, Leitão HG, Diedericks G, Kirangwa J, Morselli M, Salces-Ortiz J, Escudero N, Iannucci A, Natali C, Svardal H, Fernández R, De Pooter T, Joris G, Strazisar M, Wood JMD, Herron KE, Seehausen O, Watts PC, Shaw F, Davey RP, Minotto A, Fernández JM, Böhne A, Alegria C, Alioto T, Alves PC, Amorim IR, Aury JM, Backstrom N, Baldrian P, Baltrunaite L, Barta E, BedHom B, Belser C, Bergsten J, Bertrand L, Bilandija H, Binzer-Panchal M, Bista I, Blaxter M, Borges PAV, Dias GB, Bosse M, Brown T, Bruggmann R, Buena-Atienza E, Burgin J, Buzan E, Cariani A, Casadei N, Chiara M, Chozas S, Čiampor F, Crottini A, Cruaud C, Cruz F, Dalen L, De Biase A, Del Campo J, Delic T, Dennis AB, Derks MFL, Diroma MA, Djan M, Duprat S, Eleftheriadi K, Feulner PGD, Flot JF, Forni G, Fosso B, Fournier P, Fournier-Chambrillon C, Gabaldon T, Garg S, Gissi C, Giupponi L, Gomez-Garrido J, González J, Grilo ML, Grüning B, Guerin T, Guiglielmoni N, Gut M, Haesler MP, Hahn C, Halpern B, Harrison PW, Heintz J, Hindrikson M, Höglund J, Howe K, Hughes GM, Istace B, Cock MJ, Janžekovič F, Jonsson ZO, Joye-Dind S, Koskimäki JJ, Krystufek B, Kubacka J, Kuhl H, Kusza S, Labadie K, Lähteenaro M, Lantz H, Lavrinienko A, Leclère L, Lopes RJ, Madsen O, Magdelenat G, Magoga G, Manousaki T, Mappes T, Marques JP, Redondo GIM, Maumus F, McCarthy SA, Megens HJ, Melo-Ferreira J, Mendes SL, Montagna M, Moreno J, Mosbech MB, Moura M, Musilova Z, Myers E, Nash WJ, Nater A, Nicholson P, Niell M, Nijland R, Noel B, Noren K, Oliveira PH, Olsen RA, Ometto L, Oomen RA, Ossowski S, Palinauskas V, Palsson S, Panibe JP, Pauperio J, Pavlek M, Payen E, Pawlowska J, Pellicer J, Pesole G, Pimenta J, Pippel M, Pirttilä AM, Poulakakis N, Rajan J, M C Rego R, Resendes R, Resl P, Riesgo A, Rodin-Morch P, Soares AER, Fernandes CR, Romeiras MM, Roxo G, Rüber L, Ruiz-Lopez MJ, Saarma U, da Silva LP, Sim-Sim M, Soler L, Sousa VC, Santos CS, Spada A, Stefanovic M, Steger V, Stiller J, Stöck M, Struck TH, Sudasinghe H, Tapanainen R, Tellgren-Roth C, Trindade H, Tukalenko Y, Urso I, Vacherie B, Van Belleghem SM, Van Oers K, Vargas-Chavez C, Velickovic N, Vella N, Vella A, Vernesi C, Vicente S, Villa S, Pettersson OV, Volckaert FAM, Voros J, Wincker P, Winkler S, Ciofi C, Waterhouse RM, Mazzoni CJ. The European Reference Genome Atlas: piloting a decentralised approach to equitable biodiversity genomics. NPJ BIODIVERSITY 2024; 3:28. [PMID: 39289538 PMCID: PMC11408602 DOI: 10.1038/s44185-024-00054-6] [Show More Authors] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 07/19/2024] [Indexed: 09/19/2024]
Abstract
A genomic database of all Earth's eukaryotic species could contribute to many scientific discoveries; however, only a tiny fraction of species have genomic information available. In 2018, scientists across the world united under the Earth BioGenome Project (EBP), aiming to produce a database of high-quality reference genomes containing all ~1.5 million recognized eukaryotic species. As the European node of the EBP, the European Reference Genome Atlas (ERGA) sought to implement a new decentralised, equitable and inclusive model for producing reference genomes. For this, ERGA launched a Pilot Project establishing the first distributed reference genome production infrastructure and testing it on 98 eukaryotic species from 33 European countries. Here we outline the infrastructure and explore its effectiveness for scaling high-quality reference genome production, whilst considering equity and inclusion. The outcomes and lessons learned provide a solid foundation for ERGA while offering key learnings to other transnational, national genomic resource projects and the EBP.
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Affiliation(s)
- Ann M Mc Cartney
- Genomics Institute, University of California, Santa Cruz, CA, USA.
| | - Giulio Formenti
- The Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
- Department of Biology, University of Florence, Sesto Fiorentino, Italy
| | - Alice Mouton
- Department of Biology, University of Florence, Sesto Fiorentino, Italy
- InBios-Conservation Genetics Laboratory, University of Liege, Liege, Belgium
| | - Diego De Panis
- Leibniz Institut für Zoo und Wildtierforschung, Berlin, Germany
- Berlin Center for Genomics in Biodiversity Research, Berlin, Germany
| | - Luísa S Marins
- Leibniz Institut für Zoo und Wildtierforschung, Berlin, Germany
- Berlin Center for Genomics in Biodiversity Research, Berlin, Germany
| | | | | | - Joseph Kirangwa
- Institute of Zoology, University of Cologne, Cologne, Germany
| | - Marco Morselli
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Judit Salces-Ortiz
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Nuria Escudero
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Alessio Iannucci
- Department of Biology, University of Florence, Sesto Fiorentino, Italy
| | - Chiara Natali
- Department of Biology, University of Florence, Sesto Fiorentino, Italy
| | - Hannes Svardal
- Department of Biology, University of Antwerp, Antwerp, Belgium
- Naturalis Biodiversity Center, Leiden, The Netherlands
| | - Rosa Fernández
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Tim De Pooter
- Neuromics Support Facility, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Neuromics Support Facility, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Geert Joris
- Neuromics Support Facility, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Neuromics Support Facility, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Mojca Strazisar
- Neuromics Support Facility, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Neuromics Support Facility, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | | | - Katie E Herron
- School of Biology and Environmental Science, University College Dublin, Belfield, Ireland
| | - Ole Seehausen
- Aquatic Ecology & Evolution, Institute of Ecology & Evolution, University of Bern, Bern, Switzerland
- Department of Fish Ecology & Evolution, Eawag, Kastanienbaum, Switzerland
| | - Phillip C Watts
- Department of Biological and Environmental Science, University of Jyvaskyla, Jyvaskyla, Finland
| | - Felix Shaw
- The Earlham Institute, Norwich Research Park, Norwich, UK
| | - Robert P Davey
- The Earlham Institute, Norwich Research Park, Norwich, UK
| | | | - José M Fernández
- Barcelona Supercomputing Center; Spanish National Bioinformatics Institute, ELIXIR Spain, Getafe, Spain
| | - Astrid Böhne
- Leibniz Institute for the Analysis of Biodiversity Change, Museum Koenig Bonn, Bonn, Germany
| | - Carla Alegria
- CE3C-Centre for Ecology, Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, Portugal
| | - Tyler Alioto
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
- Universitat de Barcelona (UB), Barcelona, Spain
| | - Paulo C Alves
- CIBIO, Centro de Investigacao em Biodiversidade e Recursos Geneticos, InBIO Laboratorio Associado, Universidade do Porto, Vairao, Portugal
- Departamento de Biologia, Faculdade de Ciencias, Universidade do Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairao, Vairao, Portugal
| | - Isabel R Amorim
- University of the Azores, cE3c-Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE-Global Change and Sustainability Institute, Rua Capitão João d´Ávila, Pico da Urze, Angra do Heroísmo, Portugal
| | - Jean-Marc Aury
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France
| | - Niclas Backstrom
- Evolutionary Biology Program, Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden
| | - Petr Baldrian
- Institute of Microbiology of the Czech Academy of Sciences, Praha, Czech Republic
| | | | - Endre Barta
- Institute of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Bertrand BedHom
- Institut de Systematique, Evolution, Biodiversite, Museum National d Histoire Naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, Paris, France
| | - Caroline Belser
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France
| | - Johannes Bergsten
- Department of Zoology, Swedish Museum of Natural History, Stockholm, Sweden
- Department of Zoology, Faculty of Science, Stockholm University, Stockholm, Sweden
| | - Laurie Bertrand
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | | | - Mahesh Binzer-Panchal
- SciLifeLab, Solna, Sweden
- Uppsala University, Uppsala, Sweden
- National Bioinformatics Infrastructure Sweden, Uppsala, Sweden
| | - Iliana Bista
- Senckenberg Research Institute, Frankfurt, Germany
- LOEWE Centre for Translational Biodiversity Genomics, Frankfurt, Germany
- Wellcome CRUK Gurdon Institute, University of Cambridge, Cambridge, UK
| | - Mark Blaxter
- Tree of Life, Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Paulo A V Borges
- University of the Azores, cE3c-Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE-Global Change and Sustainability Institute, Rua Capitão João d´Ávila, Pico da Urze, Angra do Heroísmo, Portugal
| | - Guilherme Borges Dias
- SciLifeLab, Solna, Sweden
- Uppsala University, Uppsala, Sweden
- National Bioinformatics Infrastructure Sweden, Uppsala, Sweden
| | - Mirte Bosse
- VU University Amsterdam, Amsterdam, The Netherlands
- Animal Breeding & Genomics, Wageningen University & Research, Wageningen, The Netherlands
- Wageningen University & Research, Wageningen, The Netherlands
| | - Tom Brown
- Leibniz Institut für Zoo und Wildtierforschung, Berlin, Germany
- Berlin Center for Genomics in Biodiversity Research, Berlin, Germany
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- DRESDEN concept Genome Center, Dresden, Germany
| | - Rémy Bruggmann
- Interfaculty Bioinformatics Unit and Swiss Institute of Bioinformatics, University of Bern, Bern, Switzerland
| | - Elena Buena-Atienza
- Institute of Medical Genetics and Applied Genomics, University of Tubingen, Tubingen, Germany
- NGS Competence Center Tubingen, Tubingen, Germany
| | - Josephine Burgin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Elena Buzan
- University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies, Koper, Slovenia
- Faculty of Environmental Protection, Velenje, Slovenia
| | - Alessia Cariani
- Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum Universitá di Bologna, Bologna, Italy
| | - Nicolas Casadei
- Institute of Medical Genetics and Applied Genomics, University of Tubingen, Tubingen, Germany
- NGS Competence Center Tubingen, Tubingen, Germany
| | - Matteo Chiara
- Department of Biosciences, Università degli Studi di Milano, Milan, Italy
- Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, Consiglio Nazionale delle Ricerche, Bari, Italy
| | - Sergio Chozas
- CE3C-Centre for Ecology, Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, Portugal
- Sociedade Portuguesa de Botânica, Lisbon, Portugal
| | - Fedor Čiampor
- Department of Biodiversity and Ecology, Plant Science and Biodiversity Centre Slovak Academy of Sciences, Bratislava, Slovakia
| | - Angelica Crottini
- CIBIO, Centro de Investigacao em Biodiversidade e Recursos Geneticos, InBIO Laboratorio Associado, Universidade do Porto, Vairao, Portugal
- Departamento de Biologia, Faculdade de Ciencias, Universidade do Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairao, Vairao, Portugal
| | - Corinne Cruaud
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Fernando Cruz
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
- Universitat de Barcelona (UB), Barcelona, Spain
| | - Love Dalen
- Department of Zoology, Stockholm University, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
- Centre for Palaeogenetics, Stockholm, Sweden
| | - Alessio De Biase
- Department of Biology and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - Javier Del Campo
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Teo Delic
- University of Ljubljana, Biotechnical Faculty, Department of Biology, Ljubljana, Slovenia
| | - Alice B Dennis
- University of Namur, Department of Biology, URBE, ILEE, Namur, Belgium
| | - Martijn F L Derks
- Animal Breeding & Genomics, Wageningen University & Research, Wageningen, The Netherlands
| | | | - Mihajla Djan
- Department of Biology and Ecology, University of Novi Sad, Novi Sad, Serbia
| | - Simone Duprat
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France
| | - Klara Eleftheriadi
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Philine G D Feulner
- Eawag Swiss Federal Institute of Aquatic Science and Technology, Department of Fish Ecology & Evolution, Kastanienbaum, Switzerland
| | - Jean-François Flot
- Department of Organismal Biology, Universite libre de Bruxelles, Brussels, Belgium
| | - Giobbe Forni
- Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum Universitá di Bologna, Bologna, Italy
| | - Bruno Fosso
- Department of Biosciences, Biotechnology and Environment, University of Bari Aldo Moro, Bari, Italy
| | - Pascal Fournier
- Groupe de Recherche et d Etude pour la Gestion de l Environnement, Villandraut, France
| | | | - Toni Gabaldon
- Barcelona Supercomputing Centre (BSC), Barcelona, Spain
- Institute for Research in Biomedicine (IRB), Barcelona, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
- CIBERINFEC, Instituto Carlos III, Barcelona, Spain
| | - Shilpa Garg
- NNF Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Carmela Gissi
- Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, Consiglio Nazionale delle Ricerche, Bari, Italy
- Department of Biosciences, Biotechnology and Environment, University of Bari Aldo Moro, Bari, Italy
- CoNISMa, Consorzio Nazionale Interuniversitario per le Scienze del Mare, Roma, Italy
| | - Luca Giupponi
- Centre of Applied Studies for the Sustainable Management and Protection of Mountain Areas CRC Ge.S.Di.Mont., University of Milan, Milan, Italy
- Department of Agricultural and Environmental Sciences-Production, Landscape and Agroenergy DiSAA, University of Milan, Milan, Italy
| | - Jessica Gomez-Garrido
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
- Universitat de Barcelona (UB), Barcelona, Spain
| | - Josefa González
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Miguel L Grilo
- Marine and Environmental Sciences Centre, Aquatic Research Network, Instituto Universitário de Ciências Psicológicas, Sociais e da Vida, Lisboa, Portugal
- Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Caparica, Portugal
| | - Björn Grüning
- Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Thomas Guerin
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France
| | | | - Marta Gut
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
- Universitat de Barcelona (UB), Barcelona, Spain
| | - Marcel P Haesler
- Aquatic Ecology & Evolution, Institute of Ecology & Evolution, University of Bern, Bern, Switzerland
- Department of Fish Ecology & Evolution, Eawag, Kastanienbaum, Switzerland
| | - Christoph Hahn
- Department of Biology, University of Graz, Graz, Austria
| | - Balint Halpern
- MME BirdLife Hungary, Budapest, Hungary
- Doctoral School of Biology, Department of Systematic Zoology and Ecology, Institute of Biology, ELTE Eotvos Lorand University, Budapest, Hungary
- HUN-REN-ELTE-MTM Integrative Ecology Research Group, Budapest, Hungary
| | - Peter W Harrison
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Julia Heintz
- SciLifeLab, Solna, Sweden
- Uppsala University, Uppsala, Sweden
- National Bioinformatics Infrastructure Sweden, Uppsala, Sweden
| | - Maris Hindrikson
- Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Jacob Höglund
- Institute of Life and Environmental Sciences, University of Iceland, Reykjavik, Iceland
| | - Kerstin Howe
- Tree of Life, Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Graham M Hughes
- School of Biology and Environmental Science, University College Dublin, Belfield, Ireland
- UCD Conway Institute, University College Dublin, Belfield, Ireland
| | - Benjamin Istace
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France
| | - Mark J Cock
- Algal Genetics Group, UMR 8227, CNRS, Sorbonne Universite, UPMC University Paris 06, Paris, France
- France Integrative Biology of Marine Models, Station Biologique de Roscoff, Roscoff, France
| | - Franc Janžekovič
- University of Maribor, Faculty of Natural Sciences and Mathematics, Maribor, Slovenia
| | - Zophonias O Jonsson
- Institute of Life and Environmental Sciences, University of Iceland, Reykjavik, Iceland
| | - Sagane Joye-Dind
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Janne J Koskimäki
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - Boris Krystufek
- Slovenian Museum of Natural History, Ljubljana, Slovenia
- Science and Research Centre Koper, Koper, Slovenia
| | - Justyna Kubacka
- Museum and Institute of Zoology, Polish Academy of Sciences, Warsaw, Poland
| | - Heiner Kuhl
- Department IV Fish Biology, Fisheries and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Szilvia Kusza
- University of Debrecen, Centre for Agricultural Genomics and Biotechnology, Debrecen, Hungary
| | - Karine Labadie
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Meri Lähteenaro
- Department of Zoology, Swedish Museum of Natural History, Stockholm, Sweden
- Department of Zoology, Faculty of Science, Stockholm University, Stockholm, Sweden
| | - Henrik Lantz
- SciLifeLab, Solna, Sweden
- Uppsala University, Uppsala, Sweden
- National Bioinformatics Infrastructure Sweden, Uppsala, Sweden
| | - Anton Lavrinienko
- Laboratory of Food Systems Biotechnology, Institute of Food, Nutrition, and Health, ETH Zurich, Zurich, Switzerland
| | - Lucas Leclère
- Sorbonne Université, CNRS, Biologie Intégrative des Organismes Marins (BIOM), Banyuls-sur-Mer, France
| | - Ricardo Jorge Lopes
- CE3C-Centre for Ecology, Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, Portugal
- MHNC-UP, Natural History and Science Museum of the University of Porto, Porto, Portugal
| | - Ole Madsen
- Animal Breeding & Genomics, Wageningen University & Research, Wageningen, The Netherlands
| | | | - Giulia Magoga
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy
| | - Tereza Manousaki
- Hellenic Centre for Marine Research (HCMR), Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Heraklion, Crete, Greece
| | - Tapio Mappes
- Department of Biological and Environmental Science, University of Jyvaskyla, Jyvaskyla, Finland
| | - Joao Pedro Marques
- CIBIO, Centro de Investigacao em Biodiversidade e Recursos Geneticos, InBIO Laboratorio Associado, Universidade do Porto, Vairao, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairao, Vairao, Portugal
| | | | - Florian Maumus
- Universite Paris Saclay, INRAE, URGI, Versailles, France
| | - Shane A McCarthy
- Department of Genetics, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Cambridge, UK
| | - Hendrik-Jan Megens
- Animal Breeding & Genomics, Wageningen University & Research, Wageningen, The Netherlands
| | - Jose Melo-Ferreira
- CIBIO, Centro de Investigacao em Biodiversidade e Recursos Geneticos, InBIO Laboratorio Associado, Universidade do Porto, Vairao, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairao, Vairao, Portugal
- Departamento de Biologia, Faculdade de Ciencias da Universidade do Porto, Porto, Portugal
| | - Sofia L Mendes
- CE3C-Centre for Ecology, Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, Portugal
| | - Matteo Montagna
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy
- Interuniversity Center for Studies on Bioinspired Agro Environmental Technology, University of Naples Federico II, Naples, Italy
| | - Joao Moreno
- CE3C-Centre for Ecology, Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, Portugal
- MARE Marine and Environmental Sciences Centre, ARNET Aquatic Research Network, Lisboa, Portugal
| | - Mai-Britt Mosbech
- SciLifeLab, Solna, Sweden
- Uppsala University, Uppsala, Sweden
- National Bioinformatics Infrastructure Sweden, Uppsala, Sweden
| | - Mónica Moura
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Pólo dos Açores; Faculdade de Ciências e Tecnologia, Universidade dos Açores, Ponta Delgada, Portugal
- UNESCO, Chair Land Within Sea Biodiversity & Sustainability in Atlantic Islands, Portugal
| | - Zuzana Musilova
- Department of Zoology, Faculty of Science, Charles University, Prague, Czech Republic
| | - Eugene Myers
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- DRESDEN concept Genome Center, Dresden, Germany
| | - Will J Nash
- The Earlham Institute, Norwich Research Park, Norwich, UK
| | - Alexander Nater
- Interfaculty Bioinformatics Unit and Swiss Institute of Bioinformatics, University of Bern, Bern, Switzerland
| | - Pamela Nicholson
- Next Generation Sequencing Platform, University of Bern, Bern, Switzerland
| | - Manuel Niell
- Andorra Research and Innovation, Sant Julià de Lòria, Andorra
| | - Reindert Nijland
- Marine Animal Ecology Group, Wageningen University and Research, Wageningen, The Netherlands
| | - Benjamin Noel
- University of the Azores, cE3c-Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE-Global Change and Sustainability Institute, Rua Capitão João d´Ávila, Pico da Urze, Angra do Heroísmo, Portugal
| | - Karin Noren
- Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Pedro H Oliveira
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France
| | - Remi-Andre Olsen
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden
| | - Lino Ometto
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
- National Biodiversity Future Center, Palermo, Italy
| | - Rebekah A Oomen
- Centre for Ecological and Evolutionary Synthesis, University of Oslo, Oslo, Norway
- University of New Brunswick Saint John, Saint John, New Brunswick, Canada
| | - Stephan Ossowski
- Institute for Medical Genetics and Applied Genomics, University of Tubingen, Tubingen, Germany
- NGS Competence Center Tubingen (NCCT), University of Tubingen, Tubingen, Germany
- Institute for Bioinformatics and Medical Informatics (IBMI), University of Tubingen, Tubingen, Germany
| | | | - Snaebjorn Palsson
- Institute of Life and Environmental Sciences, University of Iceland, Reykjavik, Iceland
| | - Jerome P Panibe
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
| | - Joana Pauperio
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | | | - Emilie Payen
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | | | - Jaume Pellicer
- Institut Botànic de Barcelona, IBB (CSIC-CMCNB), Passeig del Migdia s.n., Parc de Montjüic, Barcelona, Spain
| | - Graziano Pesole
- University of Bari Aldo Moro, Department of Biosciences, Biotechnology and Environment; Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, Consiglio Nazionale delle Ricerche, Bari, Italy
| | - Joao Pimenta
- CIBIO, Centro de Investigacao em Biodiversidade e Recursos Geneticos, InBIO Laboratorio Associado, Universidade do Porto, Vairao, Portugal
- Wellcome Sanger Institute, Cambridge, UK
| | - Martin Pippel
- SciLifeLab, Solna, Sweden
- Uppsala University, Uppsala, Sweden
- National Bioinformatics Infrastructure Sweden, Uppsala, Sweden
| | | | - Nikos Poulakakis
- Department of Biology, School of Sciences and Engineering, University of Crete, Voutes University Campus, Irakleio, Greece
- Natural History Museum of Crete, School of Sciences and Engineering, University of Crete, Irakleio, Greece
| | - Jeena Rajan
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Rúben M C Rego
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Pólo dos Açores; Faculdade de Ciências e Tecnologia, Universidade dos Açores, Ponta Delgada, Portugal
- UNESCO, Chair Land Within Sea Biodiversity & Sustainability in Atlantic Islands, Portugal
| | - Roberto Resendes
- Universidade dos Acores, Departamento de Biologia, Ponta Delgada, Portugal
| | - Philipp Resl
- Department of Biology, University of Graz, Graz, Austria
| | - Ana Riesgo
- Department of Biodiversity and Evolutionary Biology, Museo Nacional de Ciencias Naturales, Madrid, Spain
| | | | - Andre E R Soares
- SciLifeLab, Solna, Sweden
- Uppsala University, Uppsala, Sweden
- National Bioinformatics Infrastructure Sweden, Uppsala, Sweden
| | - Carlos Rodriguez Fernandes
- CE3C-Centre for Ecology, Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, Portugal
- Faculdade de Psicologia, Universidade de Lisboa, Lisboa, Portugal
| | - Maria M Romeiras
- CE3C-Centre for Ecology, Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, Portugal
- Linking Landscape, Environment, Agriculture and Food, Associated Laboratory TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, Lisboa, Portugal
- Portugal Centre for Ecology, Evolution and Environmental Changes, Lisbon, Portugal
| | - Guilherme Roxo
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Pólo dos Açores; Faculdade de Ciências e Tecnologia, Universidade dos Açores, Ponta Delgada, Portugal
- UNESCO, Chair Land Within Sea Biodiversity & Sustainability in Atlantic Islands, Portugal
| | - Lukas Rüber
- Aquatic Ecology & Evolution, Institute of Ecology & Evolution, University of Bern, Bern, Switzerland
- Naturhistorisches Museum Bern, Bern, Switzerland
| | - Maria Jose Ruiz-Lopez
- Departamento de Biología de la Conservación y Cambio Global, Estación Biológica de Doñana (EBD), CSIC, Sevilla, Spain
- CIBER of Epidemiology and Public Health, Granada, Spain
| | - Urmas Saarma
- Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Luis P da Silva
- CIBIO, Centro de Investigacao em Biodiversidade e Recursos Geneticos, InBIO Laboratorio Associado, Universidade do Porto, Vairao, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairao, Vairao, Portugal
| | - Manuela Sim-Sim
- CE3C-Centre for Ecology, Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, Portugal
- Museu Nacional de História Natural e da Ciência, Lisboa, Portugal
- Departamento de Biologia Vegetal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Lucile Soler
- SciLifeLab, Solna, Sweden
- Uppsala University, Uppsala, Sweden
- National Bioinformatics Infrastructure Sweden, Uppsala, Sweden
| | - Vitor C Sousa
- CE3C-Centre for Ecology, Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, Portugal
- Departamento de Biologia Animal, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
| | - Carla Sousa Santos
- MARE Marine and Environmental Sciences Centre, ARNET Aquatic Research Network, Lisboa, Portugal
| | - Alberto Spada
- Department of Agricultural and Environmental Sciences Production, Landscape, Agroenergy, University of Milan, Milan, Italy
| | - Milomir Stefanovic
- Department of Biology and Ecology, University of Novi Sad, Novi Sad, Serbia
| | - Viktor Steger
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Godollo, Hungary
| | - Josefin Stiller
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Matthias Stöck
- Department IV Fish Biology, Fisheries and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Torsten H Struck
- Natural History Museum, University of Oslo, Blindern, Oslo, Norway
| | - Hiranya Sudasinghe
- Naturhistorisches Museum Bern, Bern, Switzerland
- Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
| | | | - Christian Tellgren-Roth
- SciLifeLab, Solna, Sweden
- Uppsala University, Uppsala, Sweden
- National Bioinformatics Infrastructure Sweden, Uppsala, Sweden
| | - Helena Trindade
- CE3C-Centre for Ecology, Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, Portugal
- Departamento de Biologia Vegetal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Yevhen Tukalenko
- Institute for Nuclear Research of the NAS of Ukraine, Kyiv, Ukraine
| | - Ilenia Urso
- Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, Consiglio Nazionale delle Ricerche, Bari, Italy
| | - Benoit Vacherie
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Steven M Van Belleghem
- Ecology, Evolution and Conservation Biology, Department of Biology, KU Leuven, Leuven, Belgium
| | - Kees Van Oers
- Department of Animal Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands
| | - Carlos Vargas-Chavez
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Nevena Velickovic
- Department of Biology and Ecology, University of Novi Sad, Novi Sad, Serbia
| | - Noel Vella
- Conservation Biology Research Group, Department of Biology, University of Malta, Msida, Malta
| | - Adriana Vella
- Conservation Biology Research Group, Department of Biology, University of Malta, Msida, Malta
| | - Cristiano Vernesi
- Forest Ecology Unit, Research and Innovation Centre-Fondazione Edmund Mach, San Michele All'Adige, Italy
| | - Sara Vicente
- CE3C-Centre for Ecology, Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, Portugal
- ERISA Escola Superior de Saúde Ribeiro Sanches, IPLUSO, Lisboa, Portugal
| | - Sara Villa
- Institute for Sustainable Plant Protection, National Research Council, Sesto Fiorentino, Italy
- Department of Agricultural and Environmental Sciences, University of Milan via Giovanni Celoria 2, Milan, Italy
| | - Olga Vinnere Pettersson
- SciLifeLab, Solna, Sweden
- Uppsala University, Uppsala, Sweden
- National Bioinformatics Infrastructure Sweden, Uppsala, Sweden
| | - Filip A M Volckaert
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, Leuven, Belgium
| | - Judit Voros
- Department of Zoology, Hungarian Natural History Museum, Budapest, Hungary
| | - Patrick Wincker
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France
| | - Sylke Winkler
- Department of Zoology, Faculty of Science, Charles University, Prague, Czech Republic
| | - Claudio Ciofi
- Department of Biology, University of Florence, Sesto Fiorentino, Italy
| | - Robert M Waterhouse
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Camila J Mazzoni
- Leibniz Institut für Zoo und Wildtierforschung, Berlin, Germany
- Berlin Center for Genomics in Biodiversity Research, Berlin, Germany
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25
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Kaminski M, Brown JI, Seibert SR, Hernández F, Duya MV, Fontanilla IKC, Roshier D, Miles A, Joseph L, Peters JL, Lavretsky P. Determining evolutionary origin and phylogenetic relationships of mallard-like ducks of Oceania, greater Indonesia, and the Philippines with ddRAD-seq data. Mol Phylogenet Evol 2024; 197:108085. [PMID: 38688441 DOI: 10.1016/j.ympev.2024.108085] [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: 12/04/2023] [Revised: 04/12/2024] [Accepted: 04/24/2024] [Indexed: 05/02/2024]
Abstract
AIM We aim to determine the evolutionary origins and population genetics of mallard-like ducks of Oceania, greater Indonesia, and the Philippines. LOCATION Oceania, greater Indonesia, and the Philippines. TAXON Mallard (Anas platyrhynchos), Pacific black duck (A. superciliosa spp.), and Philippine duck (A. luzonica) METHODS: Thousands of nuclear ddRAD-seq loci and the mitochondrial DNA control region were assayed across individuals representative of each species' range. We assessed population structure and phylogenetic relationships, as well as estimated demographic histories to reconstruct the biogeographical history of each species. RESULTS Philippine and Pacific black ducks represent unique genetic lineages that diverged from the mallard 1-2 million years ago. We find no support for the Philippine duck representing a hybrid species as once posited; however, their low levels of genetic diversity requires further attention. We find a lack of substructure among Philippine ducks. However, we found pronounced differentiation between subspecies of Pacific black ducks, especially between A. s. superciliosa from New Zealand and A. s. rogersi from Australia, Papua New Guinea, and Timor-Leste, Indonesia. Anas superciliosa pelewensis gave mixed results; individuals from the Solomon Islands were differentiated from the other subspecies, but those from the island of Aunu'u, American Samoa, were genetically more similar to A. s. rogersi than A. s. pelewensis samples from the Solomon Islands. Finally, we find limited evidence of interspecific gene flow at evolutionary scales, and mallard introgression among contemporary samples. MAIN CONCLUSIONS Mallard-like ducks radiated across Oceania, greater Indonesia, and the Philippines within the last 2 million years. Only the Pacific black duck showed unique sub-structuring that largely followed known sub-species ranges, except for A. s. pelewensis. We posit that the high interrelatedness among Solomon Island samples suggests that their genetic distinctiveness may simply be the result of high levels of genetic drift. In contrast, we conclude that mainland Australian Pacific black ducks were the most likely source for the recent colonization of American Samoa. As a result, our findings suggest that either the A. s. pelewensis subspecies designations and/or its geographical range may require re-evaluation. Continued re-evaluation of evolutionary and taxonomic relationships is necessary when attempting to reconstruct and understand biogeographical histories, with important implications towards any attempts to implement conservation strategies.
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Affiliation(s)
- Marissa Kaminski
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA; Upper Midwest Environmental Sciences Center, United States Geological Survey, La Crosse, WI, USA.
| | - Joshua I Brown
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA; Department of Life, Earth, and Environmental Sciences, West Texas A&M University, Canyon, Texas, USA
| | - Sara R Seibert
- Department of Biological Sciences, Wright State University, Dayton, OH, USA
| | - Flor Hernández
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Melizar V Duya
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Ian Kendrich C Fontanilla
- Institute of Biology, College of Science, University of the Philippines Diliman, Quezon City, Philippines
| | - David Roshier
- School of Animal and Veterinary Science, University of Adelaide, Roseworthy SA, Australia
| | - Adam Miles
- Department of Marine and Wildlife Resources, Pago Pago, 96799, American Samoa
| | - Leo Joseph
- Australian National Wildlife Collection, CSIRO National Research Collections Australia, Canberra, Australia
| | - Jeffrey L Peters
- Department of Biological Sciences, Wright State University, Dayton, OH, USA
| | - Philip Lavretsky
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
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26
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Hennelly LM, Sarwar G, Fatima H, Werhahn G, Abbas FI, Khan AM, Mahmood T, Kachel S, Kubanychbekov Z, Waseem MT, Zahra Naqvi R, Hamid A, Abbas Y, Aisha H, Waseem M, Farooq M, Sacks BN. Genomic analysis of wolves from Pakistan clarifies boundaries among three divergent wolf lineages. J Hered 2024; 115:339-348. [PMID: 37897187 DOI: 10.1093/jhered/esad066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 09/26/2023] [Accepted: 10/25/2023] [Indexed: 10/29/2023] Open
Abstract
Among the three main divergent lineages of gray wolf (Canis lupus), the Holarctic lineage is the most widespread and best studied, particularly in North America and Europe. Less is known about Tibetan (also called Himalayan) and Indian wolf lineages in southern Asia, especially in areas surrounding Pakistan where all three lineages are thought to meet. Given the endangered status of the Indian wolf in neighboring India and unclear southwestern boundary of the Tibetan wolf range, we conducted mitochondrial and genome-wide sequencing of wolves from Pakistan and Kyrgyzstan. Sequences of the mitochondrial D-loop region of 81 wolves from Pakistan indicated contact zones between Holarctic and Indian lineages across the northern and western mountains of Pakistan. Reduced-representation genome sequencing of eight wolves indicated an east-to-west cline of Indian to Holarctic ancestry, consistent with a contact zone between these two lineages in Pakistan. The western boundary of the Tibetan lineage corresponded to the Ladakh region of India's Himalayas with a narrow zone of admixture spanning this boundary from the Karakoram Mountains of northern Pakistan into Ladakh, India. Our results highlight the conservation significance of Pakistan's wolf populations, especially the remaining populations in Sindh and Southern Punjab that represent the highly endangered Indian lineage.
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Affiliation(s)
- Lauren M Hennelly
- Mammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, University of California, Davis, Davis, CA, United States
| | - Ghulam Sarwar
- Institute of Zoology, University of the Punjab, Lahore, Pakistan
| | - Hira Fatima
- Department of Zoology, University of Education, Lahore, Pakistan
| | - Geraldine Werhahn
- IUCN SCC Canid Specialist Group, Oxford, United Kingdom
- Wildlife Conservation Research Unit, Zoology, University of Oxford, Tubney, United Kingdom
| | | | - Abdul M Khan
- Institute of Zoology, University of the Punjab, Lahore, Pakistan
| | - Tariq Mahmood
- Department of Zoology, Wildlife and Fisheries, PMAS Arid Agriculture University, Rawalpindi, Pakistan
| | | | | | - Muhammad T Waseem
- Zoological Science Division, Pakistan Museum of Natural History, Islamabad, Pakistan
| | - Rubab Zahra Naqvi
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
| | - Abdul Hamid
- Department of Zoology, Wildlife and Fisheries, PMAS Arid Agriculture University, Rawalpindi, Pakistan
| | - Yasir Abbas
- Central Karakoram National Park, Skardu, Pakistan
| | - Hamera Aisha
- World Wildlife Fund, Pakistan, Islamabad, Pakistan
| | | | - Muhammad Farooq
- Department of Zoology, Wildlife and Fisheries, PMAS Arid Agriculture University, Rawalpindi, Pakistan
| | - Benjamin N Sacks
- Mammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, University of California, Davis, Davis, CA, United States
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
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27
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Szrajer S, Gray D, Ylla G. The genome assembly and annotation of the cricket Gryllus longicercus. Sci Data 2024; 11:708. [PMID: 38942791 PMCID: PMC11213874 DOI: 10.1038/s41597-024-03554-z] [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: 04/16/2024] [Accepted: 06/19/2024] [Indexed: 06/30/2024] Open
Abstract
The order Orthoptera includes insects such as grasshoppers, katydids, and crickets, among which there are important species for ecosystem stability and pollination, as well as research organisms in different fields such as neurobiology, ecology, and evolution. Crickets, with more than 2,400 described species, are emerging as novel model research organisms, for their diversity, worldwide distribution, regeneration capacity, and their characteristic acoustic communication. Here we report the assembly and annotation of the first New World cricket, that of Gryllus longicercus Weissman & Gray 2019. The genome assembly, generated by combining 44.54 Gb of long reads from PacBio and 120.44 Gb of short Illumina reads, has a length of 1.85 Gb. The genome annotation yielded 19,715 transcripts from 14,789 gene models.
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Affiliation(s)
- Szymon Szrajer
- Laboratory of Bioinformatics and Genome Biology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Kraków, 30-387, Poland
| | - David Gray
- Department of Biology, California State University Northridge, Northridge, CA, 91330-8303, USA.
| | - Guillem Ylla
- Laboratory of Bioinformatics and Genome Biology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Kraków, 30-387, Poland.
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28
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Hogg CJ. Translating genomic advances into biodiversity conservation. Nat Rev Genet 2024; 25:362-373. [PMID: 38012268 DOI: 10.1038/s41576-023-00671-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/12/2023] [Indexed: 11/29/2023]
Abstract
A key action of the new Global Biodiversity Framework is the maintenance of genetic diversity in all species to safeguard their adaptive potential. To achieve this goal, a translational mindset, which aims to convert results of basic research into direct practical benefits, needs to be applied to biodiversity conservation. Despite much discussion on the value of genomics to conservation, a disconnect between those generating genomic resources and those applying it to biodiversity management remains. As global efforts to generate reference genomes for non-model species increase, investment into practical biodiversity applications is critically important. Applications such as understanding population and multispecies diversity and longitudinal monitoring need support alongside education for policymakers on integrating the data into evidence-based decisions. Without such investment, the opportunity to revolutionize global biodiversity conservation using genomics will not be fully realized.
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Affiliation(s)
- Carolyn J Hogg
- School of Life & Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.
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29
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Barcellos MF, Costa LMS, Bered F. Genetic diversity and conservation in Bromeliaceae based on SSR markers. Genet Mol Biol 2024; 46:e20230135. [PMID: 38780932 PMCID: PMC11113272 DOI: 10.1590/1678-4685-gmb-2023-0135] [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: 05/02/2023] [Accepted: 01/30/2024] [Indexed: 05/25/2024] Open
Abstract
Bromeliaceae has been used as a model Neotropical group to study evolutionary and diversification processes. Moreover, since large parts of the Neotropics are under anthropogenic pressure, a high percentage of possibly threatened species occurs. Despite this, concrete proposals for conservation based on genetic data are lacking. We compilated all genetic data obtained by nuclear microsatellites for Bromeliaceae and compared the levels of genetic diversity of subfamilies and their taxa, considering traits of life history and distribution in conservation and no conservation areas. We retrieved a total of 87 taxa (ca. 2.5% of the family size) and most present a mixed mating system, anemochoric dispersion, are ornithophilous, and were sampled outside Conservation Units, the majority occurring in the Atlantic Forest. Also, we found differences in some genetic indexes among taxa concerning seed dispersal mechanisms (e.g. Zoochoric taxa with higher diversity and lower inbreeding), mating systems (e.g. autogamous taxa showed higher inbreeding), outside/inside conservation units (allelic richness higher in not protected areas), and among different subfamilies (e.g. higher genetic diversity in Bromelioideae). The results obtained in this review can be useful for proposing conservation strategies, can facilitate the comparison of related taxa, and can help advance studies on the Bromeliaceae family.
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Affiliation(s)
- Milene Ferreira Barcellos
- Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
| | - Laís Mara Santana Costa
- Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- ConnectBio Soluções Biotecnológicas, Santa Cruz do Sul, RS, Brazil
| | - Fernanda Bered
- Universidade Federal do Rio Grande do Sul, Instituto de Biociências, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
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30
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Armstrong EE, Bissell KL, Fatima HS, Heikkinen MA, Jessup A, Junaid MO, Lee DH, Lieb EC, Liem JT, Martin EM, Moreno M, Otgonbayar K, Romans BW, Royar K, Adler MB, Needle DB, Harkess A, Kelley JL, Mooney JA, Mychajliw AM. Chromosome-level assembly of the gray fox (Urocyon cinereoargenteus) confirms the basal loss of PRDM9 in Canidae. G3 (BETHESDA, MD.) 2024; 14:jkae034. [PMID: 38366575 PMCID: PMC10989890 DOI: 10.1093/g3journal/jkae034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/31/2024] [Accepted: 02/02/2024] [Indexed: 02/18/2024]
Abstract
Reference genome assemblies have been created from multiple lineages within the Canidae family; however, despite its phylogenetic relevance as a basal genus within the clade, there is currently no reference genome for the gray fox (Urocyon cinereoargenteus). Here, we present a chromosome-level assembly for the gray fox (U. cinereoargenteus), which represents the most contiguous, non-domestic canid reference genome available to date, with 90% of the genome contained in just 34 scaffolds and a contig N50 and scaffold N50 of 59.4 and 72.9 Megabases, respectively. Repeat analyses identified an increased number of simple repeats relative to other canids. Based on mitochondrial DNA, our Vermont sample clusters with other gray fox samples from the northeastern United States and contains slightly lower levels of heterozygosity than gray foxes on the west coast of California. This new assembly lays the groundwork for future studies to describe past and present population dynamics, including the delineation of evolutionarily significant units of management relevance. Importantly, the phylogenetic position of Urocyon allows us to verify the loss of PRDM9 functionality in the basal canid lineage, confirming that pseudogenization occurred at least 10 million years ago.
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Affiliation(s)
- Ellie E Armstrong
- School of Biological Sciences, Washington State University, Pullman, WA 99164, USA
| | - Ky L Bissell
- Department of Biology, Middlebury College, Middlebury, VT 05753, USA
| | - H Sophia Fatima
- Department of Biology, Middlebury College, Middlebury, VT 05753, USA
| | - Maya A Heikkinen
- Department of Biology, Middlebury College, Middlebury, VT 05753, USA
| | - Anika Jessup
- Department of Biology, Middlebury College, Middlebury, VT 05753, USA
| | - Maryam O Junaid
- Department of Biology, Middlebury College, Middlebury, VT 05753, USA
| | - Dong H Lee
- Department of Biology, Middlebury College, Middlebury, VT 05753, USA
| | - Emily C Lieb
- Department of Biology, Middlebury College, Middlebury, VT 05753, USA
| | - Josef T Liem
- Department of Biology, Middlebury College, Middlebury, VT 05753, USA
| | - Estelle M Martin
- Department of Biology, Middlebury College, Middlebury, VT 05753, USA
| | - Mauricio Moreno
- Department of Biology, Middlebury College, Middlebury, VT 05753, USA
| | | | - Betsy W Romans
- Department of Biology, Middlebury College, Middlebury, VT 05753, USA
| | - Kim Royar
- Vermont Department of Fish and Wildlife, Montpelier, VT 05620, USA
| | - Mary Beth Adler
- Vermont Department of Fish and Wildlife, Montpelier, VT 05620, USA
| | - David B Needle
- Department of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA
| | - Alex Harkess
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Joanna L Kelley
- School of Biological Sciences, Washington State University, Pullman, WA 99164, USA
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Jazlyn A Mooney
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90007, USA
| | - Alexis M Mychajliw
- Department of Biology, Middlebury College, Middlebury, VT 05753, USA
- Program in Environmental Studies, Middlebury College, Middlebury, VT 05753, USA
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31
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Carvalho-Madrigal S, Sanín MJ. The role of introgressive hybridization in shaping the geographically isolated gene pools of wax palm populations (genus Ceroxylon). Mol Phylogenet Evol 2024; 193:108013. [PMID: 38195012 DOI: 10.1016/j.ympev.2024.108013] [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: 09/18/2023] [Revised: 12/22/2023] [Accepted: 01/06/2024] [Indexed: 01/11/2024]
Abstract
The speciation continuum is the process by which genetic groups diverge until they reach reproductive isolation. It has become common in the literature to show that this process is gradual and flickering, with possibly many instances of secondary contact and introgression after divergence has started. The level of divergence might vary among genomic regions due to, among others, the different forces and roles of selection played by the shared regions. Through hybrid capture, we sequenced ca. 4,000 nuclear regions in populations of six species of wax palms, five of which form a monophyletic group (genus Ceroxylon, Arecaceae: Ceroxyloideae). We show that in this group, the different populations show varying degrees of introgressive hybridization, and two of them are backcrosses of the other three 'pure' species. This is particularly interesting because these three species are dioecious, have a shared main pollinator, and have slightly overlapping reproductive seasons but highly divergent morphologies. Our work supports shows wax palms diverge under positive and background selection in allopatry, and hybridize due to secondary contact and inefficient reproductive barriers, which sustain genetic diversity. Introgressed regions are generally not under positive selection. Peripheral populations are backcrosses of other species; thus, introgressive hybridization is likely modulated by demographic effects rather than selective pressures. In general, these species might function as an 'evolutionary syngameon' where expanding, peripheral, small, and isolated populations maintain diversity by crossing with available individuals of other wax palms. In the Andean context, species can benefit from gained variation from a second taxon or the enhancement of population sizes by recreating a common genetic pool.
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Affiliation(s)
| | - María José Sanín
- School of Mathematical and Natural Sciences, Arizona State University, West Valley Campus, Glendale, United States.
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32
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Liu T, Ji D, Li X, Liu J, Xu F, Miao Z, Chang Y, Tian M, Xu C. Population genetics reveals new introgression in the nucleus herd of min pigs. Genes Genomics 2024; 46:389-398. [PMID: 38381321 DOI: 10.1007/s13258-024-01490-1] [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: 06/21/2023] [Accepted: 01/02/2024] [Indexed: 02/22/2024]
Abstract
OBJECTIVE Min pigs are a unique genetic resource among local pig breeds in China. They have more excellent characteristics in cold and stress resistance, good meat quality, and a high reproductive rate. However, the genetic structure and driving factors remain unclear in the nucleus herd. In this study, the genetic diversity of Min pigs was studied to reveal the formation mechanism of its unique genetic structure. We hope to protect and develop the genetic resources of Min pigs. METHODS We analyzed different types of genes to identify the genetic structure and gene introgression pattern of Min pigs. The nuclear DNA dataset includes information on 21 microsatellite loci and 6 Y-chromosome genes, and the mitochondrial D-loop gene is selected to represent maternal lineages. The above genes are all from the nucleus herd of Min pigs. RESULTS The results of genetic structure identification and analysis of potential exogenous gene introgression patterns indicate that the nucleus herd of Min pigs maintains a high level of genetic diversity (polymorphism information content = 0.713, expected heterozygosity = 0.662, observed heterozygosity = 0.612). Compared with other Asian pig breeds, the formation of Min pig breeds is more special. Gene introgression from European pig breeds to Min pigs has occurred, which is characterized by complete introgression of paternal genes and incomplete introgression of maternal genes. CONCLUSION Gene introgression caused by cross-breeding is not the main factor leading to the formation of the current genetic structure of Min pigs, but this process has increased the level of genetic diversity in the nucleus herd. Compared with the influence of gene introgression, our research suggest that artificial selection and environmental adaptive evolution make Min pigs form unique genetic characteristics.
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Affiliation(s)
- Tianxin Liu
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, 150030, People's Republic of China
| | - Dongqing Ji
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, 150030, People's Republic of China
| | - Xinyuan Li
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, 150030, People's Republic of China
| | - Jiadong Liu
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, 150030, People's Republic of China
| | - Fei Xu
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, 150030, People's Republic of China
| | - Zhiying Miao
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, 150030, People's Republic of China
| | - Yang Chang
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, 150030, People's Republic of China
| | - Ming Tian
- Institute of Animal Husbandry, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, People's Republic of China
| | - Chunzhu Xu
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, 150030, People's Republic of China.
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Kraaijeveld K, Bossers K, Petrusevski N, Pieterman S, Bruins-van Sonsbeek LGR, Wittink F. ONT read assembly of the black rhino genome. BMC Genom Data 2024; 25:27. [PMID: 38443836 PMCID: PMC10916078 DOI: 10.1186/s12863-024-01214-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 03/01/2024] [Indexed: 03/07/2024] Open
Abstract
OBJECTIVES The black rhinoceros (Diceros bicornis) is an endangered mammal for which a captive breeding program is part of the conservation effort. Black rhinos in zoo's often suffer from chronic infections and heamochromatosis. Furthermore, breeding is hampered by low male fertility. To aid a research project studying these topics, we sequenced and assembled the genome of a captive male black rhino using ONT sequencing data only. DATA DESCRIPTION This work produced over 100 Gb whole genome sequencing reads from whole blood. These were assembled into a 2.47 Gb draft genome consisting of 834 contigs with an N50 of 29.53 Mb. The genome annotation was lifted over from an available genome annotation for black rhino, which resulted in the retrieval of over 99% of gene features. This new genome assembly will be a valuable resource in for conservation genetic research in this species.
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Affiliation(s)
- Ken Kraaijeveld
- Leiden Centre for Applied Bioscience, University of Applied Sciences Leiden, Darwinweg 24, 2333CR, Leiden, The Netherlands
| | - Koen Bossers
- Leiden Centre for Applied Bioscience, University of Applied Sciences Leiden, Darwinweg 24, 2333CR, Leiden, The Netherlands
| | - Nikola Petrusevski
- Leiden Centre for Applied Bioscience, University of Applied Sciences Leiden, Darwinweg 24, 2333CR, Leiden, The Netherlands
| | - Stef Pieterman
- Leiden Centre for Applied Bioscience, University of Applied Sciences Leiden, Darwinweg 24, 2333CR, Leiden, The Netherlands
| | | | - Floyd Wittink
- Leiden Centre for Applied Bioscience, University of Applied Sciences Leiden, Darwinweg 24, 2333CR, Leiden, The Netherlands.
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34
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Hu Y, Hu Y, Zhou W, Wei F. Conservation Genomics and Metagenomics of Giant and Red Pandas in the Wild. Annu Rev Anim Biosci 2024; 12:69-89. [PMID: 37863091 DOI: 10.1146/annurev-animal-021022-054730] [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] [Indexed: 10/22/2023]
Abstract
Giant pandas and red pandas are endangered species with similar specialized bamboo diet and partial sympatric distribution in China. Over the last two decades, the rapid development of genomics and metagenomics research on these species has enriched our knowledge of their biology, ecology, physiology, genetics, and evolution, which is crucial and useful for their conservation. We describe the evolutionary history, endangerment processes, genetic diversity, and population structure of wild giant pandas and two species of red pandas (Chinese and Himalayan red pandas). In addition, we explore how genomics and metagenomics studies have provided insight into the convergent adaptation of pandas to the specialized bamboo diet. Finally, we discuss how these findings are applied to effective conservation management of giant and red pandas in the wild and in captivity to promote the long-term persistence of these species.
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Affiliation(s)
- Yisi Hu
- College of Forestry, Jiangxi Agricultural University, Nanchang, China;
- Center for Evolution and Conservation Biology, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yibo Hu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Wenliang Zhou
- Center for Evolution and Conservation Biology, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China
| | - Fuwen Wei
- College of Forestry, Jiangxi Agricultural University, Nanchang, China;
- Center for Evolution and Conservation Biology, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
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Frei D, Mwaiko S, Seehausen O, Feulner PGD. Ecological disturbance reduces genomic diversity across an Alpine whitefish adaptive radiation. Evol Appl 2024; 17:e13617. [PMID: 38343775 PMCID: PMC10853656 DOI: 10.1111/eva.13617] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 10/27/2023] [Accepted: 11/01/2023] [Indexed: 10/28/2024] Open
Abstract
Genomic diversity is associated with the adaptive potential of a population and thereby impacts the extinction risk of a species during environmental change. However, empirical data on genomic diversity of populations before environmental perturbations are rare and hence our understanding of the impact of perturbation on diversity is often limited. We here assess genomic diversity utilising whole-genome resequencing data from all four species of the Lake Constance Alpine whitefish radiation. Our data covers a period of strong but transient anthropogenic environmental change and permits us to track changes in genomic diversity in all species over time. Genomic diversity became strongly reduced during the period of anthropogenic disturbance and has not recovered yet. The decrease in genomic diversity varies between 18% and 30%, depending on the species. Interspecific allele frequency differences of SNPs located in potentially ecologically relevant genes were homogenized over time. This suggests that in addition to the reduction of genome-wide genetic variation, the differentiation that evolved in the process of adaptation to alternative ecologies between species might have been lost during the ecological disturbance. The erosion of substantial amounts of genomic variation within just a few generations in combination with the loss of potentially adaptive genomic differentiation, both of which had evolved over thousands of years, demonstrates the sensitivity of biodiversity in evolutionary young adaptive radiations towards environmental disturbance. Natural history collections, such as the one used for this study, are instrumental in the assessment of genomic consequences of anthropogenic environmental change. Historical samples enable us to document biodiversity loss against the shifting baseline syndrome and advance our understanding of the need for efficient biodiversity conservation on a global scale.
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Affiliation(s)
- David Frei
- Department of Fish Ecology and EvolutionEAWAG Swiss Federal Institute of Aquatic Science and TechnologyKastanienbaumSwitzerland
- Division of Aquatic Ecology and Evolution, Institute of Ecology and EvolutionUniversity of BernBernSwitzerland
| | - Salome Mwaiko
- Department of Fish Ecology and EvolutionEAWAG Swiss Federal Institute of Aquatic Science and TechnologyKastanienbaumSwitzerland
| | - Ole Seehausen
- Department of Fish Ecology and EvolutionEAWAG Swiss Federal Institute of Aquatic Science and TechnologyKastanienbaumSwitzerland
- Division of Aquatic Ecology and Evolution, Institute of Ecology and EvolutionUniversity of BernBernSwitzerland
| | - Philine G. D. Feulner
- Department of Fish Ecology and EvolutionEAWAG Swiss Federal Institute of Aquatic Science and TechnologyKastanienbaumSwitzerland
- Division of Aquatic Ecology and Evolution, Institute of Ecology and EvolutionUniversity of BernBernSwitzerland
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Höglund J, Dias G, Olsen RA, Soares A, Bunikis I, Talla V, Backström N. A Chromosome-Level Genome Assembly and Annotation for the Clouded Apollo Butterfly (Parnassius mnemosyne): A Species of Global Conservation Concern. Genome Biol Evol 2024; 16:evae031. [PMID: 38368625 PMCID: PMC10901555 DOI: 10.1093/gbe/evae031] [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: 12/15/2023] [Revised: 02/06/2024] [Accepted: 02/10/2024] [Indexed: 02/20/2024] Open
Abstract
The clouded apollo (Parnassius mnemosyne) is a palearctic butterfly distributed over a large part of western Eurasia, but population declines and fragmentation have been observed in many parts of the range. The development of genomic tools can help to shed light on the genetic consequences of the decline and to make informed decisions about direct conservation actions. Here, we present a high-contiguity, chromosome-level genome assembly of a female clouded apollo butterfly and provide detailed annotations of genes and transposable elements. We find that the large genome (1.5 Gb) of the clouded apollo is extraordinarily repeat rich (73%). Despite that, the combination of sequencing techniques allowed us to assemble all chromosomes (nc = 29) to a high degree of completeness. The annotation resulted in a relatively high number of protein-coding genes (22,854) compared with other Lepidoptera, of which a large proportion (21,635) could be assigned functions based on homology with other species. A comparative analysis indicates that overall genome structure has been largely conserved, both within the genus and compared with the ancestral lepidopteran karyotype. The high-quality genome assembly and detailed annotation presented here will constitute an important tool for forthcoming efforts aimed at understanding the genetic consequences of fragmentation and decline, as well as for assessments of genetic diversity, population structure, inbreeding, and genetic load in the clouded apollo butterfly.
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Affiliation(s)
- Jacob Höglund
- Animal Ecology Program, Department of Ecology and Genetics (IEG), Uppsala University, Uppsala SE-752 36, Sweden
| | - Guilherme Dias
- National Bioinformatics Infrastructure Sweden (NBIS), Science for Life Laboratory, Uppsala 752 37, Sweden
| | - Remi-André Olsen
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna 17165, Sweden
| | - André Soares
- National Bioinformatics Infrastructure Sweden (NBIS), Science for Life Laboratory, Uppsala 752 37, Sweden
| | - Ignas Bunikis
- Uppsala Genome Center, Department of Immunology, Genetics and Pathology, Uppsala University, National Genomics Infrastructure hosted by SciLifeLab, Uppsala, Sweden
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala 752 37, Sweden
| | - Venkat Talla
- Evolutionary Biology Program, Department of Ecology and Genetics (IEG), Uppsala University, Uppsala SE-752 36, Sweden
| | - Niclas Backström
- Evolutionary Biology Program, Department of Ecology and Genetics (IEG), Uppsala University, Uppsala SE-752 36, Sweden
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Singh S, Singh R, Priyadarsini S, Ola AL. Genomics empowering conservation action and improvement of celery in the face of climate change. PLANTA 2024; 259:42. [PMID: 38270699 DOI: 10.1007/s00425-023-04321-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 12/23/2023] [Indexed: 01/26/2024]
Abstract
MAIN CONCLUSION Integration of genomic approaches like whole genome sequencing, functional genomics, evolutionary genomics, and CRISPR/Cas9-based genome editing has accelerated the improvement of crop plants including leafy vegetables like celery in the face of climate change. The anthropogenic climate change is a real peril to the existence of life forms on our planet, including human and plant life. Climate change is predicted to be a significant threat to biodiversity and food security in the coming decades and is rapidly transforming global farming systems. To avoid the ghastly future in the face of climate change, the elucidation of shifts in the geographical range of plant species, species adaptation, and evolution is necessary for plant scientists to develop climate-resilient strategies. In the post-genomics era, the increasing availability of genomic resources and integration of multifaceted genomics elements is empowering biodiversity conservation action, restoration efforts, and identification of genomic regions adaptive to climate change. Genomics has accelerated the true characterization of crop wild relatives, genomic variations, and the development of climate-resilient varieties to ensure food security for 10 billion people by 2050. In this review, we have summarized the applications of multifaceted genomic tools, like conservation genomics, whole genome sequencing, functional genomics, genome editing, pangenomics, in the conservation and adaptation of plant species with a focus on celery, an aromatic and medicinal Apiaceae vegetable. We focus on how conservation scientists can utilize genomics and genomic data in conservation and improvement.
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Affiliation(s)
- Saurabh Singh
- Department of Vegetable Science, Rani Lakshmi Bai Central Agricultural University, Jhansi, UP, 284003, India.
| | - Rajender Singh
- Division of Crop Improvement and Seed Technology, ICAR-Central Potato Research Institute (CPRI), Shimla, India
| | - Srija Priyadarsini
- Institute of Agricultural Sciences, SOA (Deemed to be University), Bhubaneswar, 751029, India
| | - Arjun Lal Ola
- Department of Vegetable Science, Rani Lakshmi Bai Central Agricultural University, Jhansi, UP, 284003, India
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Harish A, Lopes Pinto FA, Eriksson S, Johansson AM. Genetic diversity and recent ancestry based on whole-genome sequencing of endangered Swedish cattle breeds. BMC Genomics 2024; 25:89. [PMID: 38254050 PMCID: PMC10802049 DOI: 10.1186/s12864-024-09959-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 01/01/2024] [Indexed: 01/24/2024] Open
Abstract
Several indigenous cattle breeds in Sweden are endangered. Conservation of their genetic diversity and genomic characterization is a priority.Whole-genome sequences (WGS) with a mean coverage of 25X, ranging from 14 to 41X were obtained for 30 individuals of the breeds Fjällko, Fjällnära, Bohuskulla, Rödkulla, Ringamåla, and Väneko. WGS-based genotyping revealed 22,548,028 variants in total, comprising 18,876,115 single nucleotide polymorphisms (SNPs) and 3,671,913 indels. Out of these, 1,154,779 SNPs and 304,467 indels were novel. Population stratification based on roughly 19 million SNPs showed two major groups of the breeds that correspond to northern and southern breeds. Overall, a higher genetic diversity was observed in the southern breeds compared to the northern breeds. While the population stratification was consistent with previous genome-wide SNP array-based analyses, the genealogy of the individuals inferred from WGS based estimates turned out to be more complex than expected from previous SNP-array based estimates. Polymorphisms and their predicted phenotypic consequences were associated with differences in the coat color phenotypes between the northern and southern breeds. Notably, these high-consequence polymorphisms were not represented in SNP arrays, which are used routinely for genotyping of cattle breeds.This study is the first WGS-based population genetic analysis of Swedish native cattle breeds. The genetic diversity of native breeds was found to be high. High-consequence polymorphisms were linked with desirable phenotypes using whole-genome genotyping, which highlights the pressing need for intensifying WGS-based characterization of the native breeds.
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Affiliation(s)
- Ajith Harish
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, 75007, Uppsala, Sweden.
| | - Fernando A Lopes Pinto
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, 75007, Uppsala, Sweden
| | - Susanne Eriksson
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, 75007, Uppsala, Sweden
| | - Anna M Johansson
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, 75007, Uppsala, Sweden.
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Shi M, Chen F, Sahu SK, Wang Q, Yang S, Wang Z, Chen J, Liu H, Hou Z, Fang SG, Lan T. Haplotype-resolved chromosome-scale genomes of the Asian and African Savannah Elephants. Sci Data 2024; 11:63. [PMID: 38212399 PMCID: PMC10784532 DOI: 10.1038/s41597-023-02729-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 11/07/2023] [Indexed: 01/13/2024] Open
Abstract
The Proboscidea, which includes modern elephants, were once the largest terrestrial animals among extant species. They suffered mass extinction during the Ice Age. As a unique branch on the evolutionary tree, the Proboscidea are of great significance for the study of living animals. In this study, we generate chromosome-scale and haplotype-resolved genome assemblies for two extant Proboscidea species (Asian Elephant, Elephas maximus and African Savannah Elephant, Loxodonta africana) using Pacbio, Hi-C, and DNBSEQ technologies. The assembled genome sizes of the Asian and African Savannah Elephant are 3.38 Gb and 3.31 Gb, with scaffold N50 values of 130 Mb and 122 Mb, respectively. Using Hi-C technology ~97% of the scaffolds are anchored to 29 pseudochromosomes. Additionally, we identify ~9 Mb Y-linked sequences for each species. The high-quality genome assemblies in this study provide a valuable resource for future research on ecology, evolution, biology and conservation of Proboscidea species.
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Affiliation(s)
- Minhui Shi
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin, 150040, China
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Fei Chen
- Southwest Survey and Planning Institute of National Forestry and Grassland Administration, Kunming, 650031, China
- Asian Elephant Research Center of National Forestry and Grassland Administration, Kunming, 650031, China
| | - Sunil Kumar Sahu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Qing Wang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Shangchen Yang
- 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
| | - Zhihong Wang
- Southwest Survey and Planning Institute of National Forestry and Grassland Administration, Kunming, 650031, China
- Asian Elephant Research Center of National Forestry and Grassland Administration, Kunming, 650031, China
| | - Jin Chen
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
- China National GeneBank, BGI Research, Shenzhen, 518083, China
| | - Huan Liu
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin, 150040, China
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
| | - Zhijun Hou
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, 150040, 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.
| | - Tianming Lan
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin, 150040, China.
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China.
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, 150040, China.
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Yang S, Liu Y, Zhao X, Chen J, Li H, Liang H, Fan J, Zhou M, Wang S, Zhang X, Shi M, Han L, Yu M, Lu Y, Liu B, Xu Y, Lan T, Hou Z. Genomic exploration of the endangered oriental stork, Ciconia boyciana, sheds light on migration adaptation and future conservation. Gigascience 2024; 13:giae081. [PMID: 39435574 PMCID: PMC11494145 DOI: 10.1093/gigascience/giae081] [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: 11/08/2023] [Revised: 04/27/2024] [Accepted: 09/26/2024] [Indexed: 10/23/2024] Open
Abstract
BACKGROUND The oriental stork, Ciconia boyciana, is an endangered migratory bird listed on the International Union for Conservation of Nature's Red List. The bird population has experienced a rapid decline in the past decades, with nest locations and stop-over sites largely degraded due to human-bird conflicts. Multipronged conservation efforts are required to secure the future of oriental storks. We propose that a thorough understanding of the genome-wide genetic background of this threatened bird species is critical to make future conservation strategies. FINDINGS In this study, the first chromosome-scale reference genome was presented for the oriental stork with high quality, contiguity, and accuracy. The assembled genome size was 1.24 Gb with a scaffold N50 of 103 Mb, and 1.23 Gb contigs (99.32%) were anchored to 35 chromosomes. Population genomic analysis did not show a genetic structure in the wild population. Genome-wide genetic diversity (π = 0.0012) of the oriental stork was at a moderate to high level among threatened bird species, and the inbreeding risk was also not significant (FROH = 5.56% ± 5.30%). Reconstruction of demographic history indicated a rapid recent population decline likely driven by human activities. Genes that were under positive selection associated with the migratory trait were identified in relation to the long-term potentiation, photoreceptor cell organization, circadian rhythm, muscle development, and energy metabolism, indicating the essential interplay between genetic and ecological adaptation. CONCLUSIONS Our study presents the first chromosome-scale genome assembly of the oriental stork and provides a genomic basis for understanding a genetic background of the oriental stork, the population's extinction risks, and the migratory characteristics, which will facilitate the decision of future conservation plans for this species.
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Affiliation(s)
- Shangchen Yang
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
- College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yan Liu
- Center for Biological Disaster Prevention and Control, National Forestry and Grassland Administration, Shenyang 110034, China
| | - Xiaoqing Zhao
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, Inner Mongolia, China
- Key Laboratory of Black Soil Protection and Utilization (Hohhot), Ministry of Agriculture and Rural Affairs, Hohhot 010031, Inner Mongolia, China
| | - Jin Chen
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Haimeng Li
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
- Heilongjiang Key Laboratory of Complex Traits and Protein Machines in Organisms, Harbin 150040, China
| | - Hongrui Liang
- Center for Biological Disaster Prevention and Control, National Forestry and Grassland Administration, Shenyang 110034, China
| | - Jiale Fan
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Mengchao Zhou
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Shiqing Wang
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Xiaotian Zhang
- Center for Biological Disaster Prevention and Control, National Forestry and Grassland Administration, Shenyang 110034, China
| | - Minhui Shi
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Lei Han
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Mingyuan Yu
- Center for Biological Disaster Prevention and Control, National Forestry and Grassland Administration, Shenyang 110034, China
| | - Yaxian Lu
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Boyang Liu
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Yu Xu
- Center for Biological Disaster Prevention and Control, National Forestry and Grassland Administration, Shenyang 110034, China
| | - Tianming Lan
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
- Heilongjiang Key Laboratory of Complex Traits and Protein Machines in Organisms, Harbin 150040, China
| | - Zhijun Hou
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
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Shen Y, Tao L, Zhang R, Yao G, Zhou M, Sun W, Ma Y. Genomic insights into endangerment and conservation of the garlic-fruit tree (Malania oleifera), a plant species with extremely small populations. Gigascience 2024; 13:giae070. [PMID: 39311762 PMCID: PMC11417964 DOI: 10.1093/gigascience/giae070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 07/17/2024] [Accepted: 08/22/2024] [Indexed: 09/26/2024] Open
Abstract
BACKGROUND Advanced whole-genome sequencing techniques enable covering nearly all genome nucleotide variations and thus can provide deep insights into protecting endangered species. However, the use of genomic data to make conservation strategies is still rare, particularly for endangered plants. Here we performed comprehensive conservation genomic analysis for Malania oleifera, an endangered tree species with a high amount of nervonic acid. We used whole-genome resequencing data of 165 samples, covering 16 populations across the entire distribution range, to investigate the formation reasons of its extremely small population sizes and to evaluate the possible genomic offsets and changes of ecology niche suitability under future climate change. RESULTS Although M. oleifera maintains relatively high genetic diversity among endangered woody plants (θπ = 3.87 × 10-3), high levels of inbreeding have been observed, which have reduced genetic diversity in 3 populations (JM, NP, and BM2) and caused the accumulation of deleterious mutations. Repeated bottleneck events, recent inbreeding (∼490 years ago), and anthropogenic disturbance to wild habitats have aggravated the fragmentation of M. oleifera and made it endangered. Due to the significant effect of higher average annual temperature, populations distributed in low altitude exhibit a greater genomic offset. Furthermore, ecological niche modeling shows the suitable habitats for M. oleifera will decrease by 71.15% and 98.79% in 2100 under scenarios SSP126 and SSP585, respectively. CONCLUSIONS The basic realizations concerning the threats to M. oleifera provide scientific foundation for defining management and adaptive units, as well as prioritizing populations for genetic rescue. Meanwhile, we highlight the importance of integrating genomic offset and ecological niche modeling to make targeted conservation actions under future climate change. Overall, our study provides a paradigm for genomics-directed conservation.
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Affiliation(s)
- Yuanting Shen
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Lidan Tao
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Rengang Zhang
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Gang Yao
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - Minjie Zhou
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weibang Sun
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - Yongpeng Ma
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
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Mirarab S, Bafna V. Analyses of Nuclear Reads Obtained Using Genome Skimming. Methods Mol Biol 2024; 2744:247-265. [PMID: 38683324 DOI: 10.1007/978-1-0716-3581-0_16] [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] [Indexed: 05/01/2024]
Abstract
In this protocol paper, we review a set of methods developed in recent years for analyzing nuclear reads obtained from genome skimming. As the cost of sequencing drops, genome skimming (low-coverage shotgun sequencing of a sample) becomes increasingly a cost-effective method of measuring biodiversity at high resolution. While most practitioners only use assembled over-represented organelle reads from a genome skim, the vast majority of the reads are nuclear. Using assembly-free and alignment-free methods described in this protocol, we can compare samples to each other and reference genomes to compute distances, characterize underlying genomes, and infer evolutionary relationships.
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Affiliation(s)
- Siavash Mirarab
- Electrical and Computer Engineering, University of California-San Diego, La Jolla, CA, USA.
| | - Vineet Bafna
- Computer Science and Engineering, University of California-San Diego, La Jolla, CA, USA
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Maroso F, Padovani G, Muñoz Mora VH, Giannelli F, Trucchi E, Bertorelle G. Fitness consequences and ancestry loss in the Apennine brown bear after a simulated genetic rescue intervention. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2023; 37:e14133. [PMID: 37259604 DOI: 10.1111/cobi.14133] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 03/14/2023] [Accepted: 03/22/2023] [Indexed: 06/02/2023]
Abstract
Reduction in population size, with its predicted effects on population fitness, is the most alarming anthropogenic impact on endangered species. By introducing compatible individuals, genetic rescue (GR) is a promising but debated approach for reducing the genetic load unmasked by inbreeding and for restoring the fitness of declining populations. Although GR can improve genetic diversity and fitness, it can also produce loss of ancestry, hampering local adaptation, or replace with introduced variants the unique genetic pools evolved in endemic groups. We used forward genetic simulations based on empirical genomic data to assess fitness benefits and loss of ancestry risks of GR in the Apennine brown bear (Ursus arctos marsicanus). There are approximately 50 individuals of this isolated subspecies, and they have lower genetic diversity and higher inbreeding than other European brown bears, and GR has been suggested to reduce extinction risks. We compared 10 GR scenarios in which the number and genetic characteristics of migrants varied with a non-GR scenario of simple demographic increase due to nongenetic factors. The introduction of 5 individuals of higher fitness or lower levels of deleterious mutations than the target Apennine brown bear from a larger European brown bear population produced a rapid 10-20% increase in fitness in the subspecies and up to 22.4% loss of ancestry over 30 generations. Without a contemporary demographic increase, fitness started to decline again after a few generations. Doubling the population size without GR gradually increased fitness to a comparable level, but without losing ancestry, thus resulting in the best strategy for the Apennine brown bear conservation. Our results highlight the importance for management of endangered species of realistic forward simulations grounded in empirical whole-genome data.
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Affiliation(s)
- Francesco Maroso
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
- Department of Biology, University of Padova, Padova, Italy
| | - Giada Padovani
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | | | - Francesco Giannelli
- Department of Life and Environmental Science, Marche Polytechnic University, Ancona, Italy
| | - Emiliano Trucchi
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
- Department of Life and Environmental Science, Marche Polytechnic University, Ancona, Italy
| | - Giorgio Bertorelle
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
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Hoelzel AR. Where to now with the evolutionarily significant unit? Trends Ecol Evol 2023; 38:1134-1142. [PMID: 37596130 DOI: 10.1016/j.tree.2023.07.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 07/17/2023] [Accepted: 07/21/2023] [Indexed: 08/20/2023]
Abstract
The designation of units for conservation has been a necessary but challenging objective since conservation efforts began. Most species are divided, typically by environment, into populations with independent evolutionary trajectories. There are practical conservation objectives for defining these boundaries. Separate genetic clusters provide future evolutionary potential as environments change, and individuals in isolated populations may lose fitness when population size is reduced. The history of the effort to define units is briefly reviewed here, but I focus on finding a process that may facilitate uniform and effective application at a time when conservation urgency is great. I propose a refinement of the designated unit concept, distinguishing between conservation units (CUs) and evolutionarily sustaining conservation units (ESCUs).
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Affiliation(s)
- A Rus Hoelzel
- Department of Biosciences, Durham University, South Road, Durham, DH1 3LE, UK.
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Stuessy TF, Crawford DJ, Greimler J. Human Impacts on the Vegetation of the Juan Fernández (Robinson Crusoe) Archipelago. PLANTS (BASEL, SWITZERLAND) 2023; 12:4038. [PMID: 38068673 PMCID: PMC10708367 DOI: 10.3390/plants12234038] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 11/24/2023] [Accepted: 11/25/2023] [Indexed: 12/23/2024]
Abstract
The human footprint on marine and terrestrial ecosystems of the planet has been substantial, largely due to the increase in the human population with associated activities and resource utilization. Oceanic islands have been particularly susceptible to such pressures, resulting in high levels of loss of biodiversity and reductions in the numbers and sizes of wild populations. One archipelago that has suffered from human impact has been the Juan Fernández (Robinson Crusoe) Archipelago, a Chilean national park located 667 km west of Valparaíso at 33° S. latitude. The park consists of three principal islands: Robinson Crusoe Island (48 km2); Santa Clara Island (2.2 km2); and Alejandro Selkirk Island (50 km2). The latter island lies 181 kms further west into the Pacific Ocean. No indigenous peoples ever visited or lived on any of these islands; they were first discovered by the Spanish navigator, Juan Fernández, in 1574. From that point onward, a series of European visitors arrived, especially to Robinson Crusoe Island. They began to cut the forests, and such activity increased with the establishment of a permanent colony in 1750 that has persisted to the present day. Pressures on the native and endemic flora increased due to the introduction of animals, such as goats, rats, dogs, cats, pigs, and rabbits. Numerous invasive plants also arrived, some deliberately introduced and others arriving inadvertently. At present, more than three-quarters of the endemic and native vascular species of the flora are either threatened or endangered. The loss of vegetation has also resulted in a loss of genetic variability in some species as populations are reduced in size or go extinct. It is critical that the remaining genetic diversity be conserved, and genomic markers would provide guidelines for the conservation of the diversity of the endemic flora. To preserve the unique flora of these islands, further conservation measures are needed, especially in education and phytosanitary monitoring.
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Affiliation(s)
- Tod F. Stuessy
- Herbarium and Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, 1315 Kinnear Road, Columbus, OH 43212, USA
- Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, A-1030 Vienna, Austria;
| | - Daniel J. Crawford
- Department of Ecology and Evolutionary Biology and the Biodiversity Institute, University of Kansas, 1200 Sunnyside Avenue, Lawrence, KS 66045, USA;
| | - Josef Greimler
- Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, A-1030 Vienna, Austria;
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Ghildiyal K, Nayak SS, Rajawat D, Sharma A, Chhotaray S, Bhushan B, Dutt T, Panigrahi M. Genomic insights into the conservation of wild and domestic animal diversity: A review. Gene 2023; 886:147719. [PMID: 37597708 DOI: 10.1016/j.gene.2023.147719] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/20/2023] [Accepted: 08/16/2023] [Indexed: 08/21/2023]
Abstract
Due to environmental change and anthropogenic activities, global biodiversity has suffered an unprecedented loss, and the world is now heading toward the sixth mass extinction event. This urges the need to step up our efforts to promote the sustainable use of animal genetic resources and plan effective strategies for their conservation. Although habitat preservation and restoration are the primary means of conserving biodiversity, genomic technologies offer a variety of novel tools for identifying biodiversity hotspots and thus, support conservation efforts. Conservation genomics is a broad area of science that encompasses the application of genomic data from thousands or tens of thousands of genome-wide markers to address important conservation biology concerns. Genomic approaches have revolutionized the way we understand and manage animal populations, providing tools to identify and preserve unique genetic variants and alleles responsible for adaptive genetic variation, reducing the deleterious consequences of inbreeding, and increasing the adaptive potential of threatened species. The advancement of genomic technologies, particularly comparative genomic approaches, and the increased accessibility of genomic resources in the form of genome-enabled taxa for non-model organisms, provides a distinct advantage in defining conservation units over traditional genetics approaches. The objective of this review is to provide an exhaustive overview of the concept of conservation genomics, discuss the rationale behind the transition from conservation genetics to genomic approaches, and emphasize the potential applications of genomic techniques for conservation purposes. We also highlight interesting case studies in both livestock and wildlife species where genomic techniques have been used to accomplish conservation goals. Finally, we address some challenges and future perspectives in this field.
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Affiliation(s)
- Kanika Ghildiyal
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Sonali Sonejita Nayak
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Divya Rajawat
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Anurodh Sharma
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Supriya Chhotaray
- Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Bharat Bhushan
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Triveni Dutt
- Livestock Production and Management Section, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Manjit Panigrahi
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India.
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Romanenko SA, Kliver SF, Serdyukova NA, Perelman PL, Trifonov VA, Seluanov A, Gorbunova V, Azpurua J, Pereira JC, Ferguson-Smith MA, Graphodatsky AS. Integration of fluorescence in situ hybridization and chromosome-length genome assemblies revealed synteny map for guinea pig, naked mole-rat, and human. Sci Rep 2023; 13:21055. [PMID: 38030702 PMCID: PMC10687270 DOI: 10.1038/s41598-023-46595-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: 06/08/2023] [Accepted: 11/02/2023] [Indexed: 12/01/2023] Open
Abstract
Descriptions of karyotypes of many animal species are currently available. In addition, there has been a significant increase in the number of sequenced genomes and an ever-improving quality of genome assembly. To close the gap between genomic and cytogenetic data we applied fluorescent in situ hybridization (FISH) and Hi-C technology to make the first full chromosome-level genome comparison of the guinea pig (Cavia porcellus), naked mole-rat (Heterocephalus glaber), and human. Comparative chromosome maps obtained by FISH with chromosome-specific probes link genomic scaffolds to individual chromosomes and orient them relative to centromeres and heterochromatic blocks. Hi-C assembly made it possible to close all gaps on the comparative maps and to reveal additional rearrangements that distinguish the karyotypes of the three species. As a result, we integrated the bioinformatic and cytogenetic data and adjusted the previous comparative maps and genome assemblies of the guinea pig, naked mole-rat, and human. Syntenic associations in the two hystricomorphs indicate features of their putative ancestral karyotype. We postulate that the two approaches applied in this study complement one another and provide complete information about the organization of these genomes at the chromosome level.
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Affiliation(s)
- Svetlana A Romanenko
- Institute of Molecular and Cellular Biology, Russian Academy of Sciences, Siberian Branch, Novosibirsk, Russia.
| | - Sergei F Kliver
- Center for Evolutionary Hologenomics, The Globe Institute, The University of Copenhagen, Copenhagen, Denmark
| | - Natalia A Serdyukova
- Institute of Molecular and Cellular Biology, Russian Academy of Sciences, Siberian Branch, Novosibirsk, Russia
| | - Polina L Perelman
- Institute of Molecular and Cellular Biology, Russian Academy of Sciences, Siberian Branch, Novosibirsk, Russia
| | - Vladimir A Trifonov
- Institute of Molecular and Cellular Biology, Russian Academy of Sciences, Siberian Branch, Novosibirsk, Russia
- Novosibirsk State University, Novosibirsk, Russia
| | - Andrei Seluanov
- Department of Biology, University of Rochester, Rochester, NY, USA
| | - Vera Gorbunova
- Department of Biology, University of Rochester, Rochester, NY, USA
| | - Jorge Azpurua
- Department of Biochemistry and Molecular Medicine, The George Washington University, Washington, DC, USA
| | - Jorge C Pereira
- Animal and Veterinary Research Centre, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal
- Cambridge Resource Centre for Comparative Genomics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Malcolm A Ferguson-Smith
- Cambridge Resource Centre for Comparative Genomics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Alexander S Graphodatsky
- Institute of Molecular and Cellular Biology, Russian Academy of Sciences, Siberian Branch, Novosibirsk, Russia
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Bergman J, Pedersen RØ, Lundgren EJ, Lemoine RT, Monsarrat S, Pearce EA, Schierup MH, Svenning JC. Worldwide Late Pleistocene and Early Holocene population declines in extant megafauna are associated with Homo sapiens expansion rather than climate change. Nat Commun 2023; 14:7679. [PMID: 37996436 PMCID: PMC10667484 DOI: 10.1038/s41467-023-43426-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023] Open
Abstract
The worldwide extinction of megafauna during the Late Pleistocene and Early Holocene is evident from the fossil record, with dominant theories suggesting a climate, human or combined impact cause. Consequently, two disparate scenarios are possible for the surviving megafauna during this time period - they could have declined due to similar pressures, or increased in population size due to reductions in competition or other biotic pressures. We therefore infer population histories of 139 extant megafauna species using genomic data which reveal population declines in 91% of species throughout the Quaternary period, with larger species experiencing the strongest decreases. Declines become ubiquitous 32-76 kya across all landmasses, a pattern better explained by worldwide Homo sapiens expansion than by changes in climate. We estimate that, in consequence, total megafauna abundance, biomass, and energy turnover decreased by 92-95% over the past 50,000 years, implying major human-driven ecosystem restructuring at a global scale.
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Affiliation(s)
- Juraj Bergman
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark.
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark.
| | - Rasmus Ø Pedersen
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark
| | - Erick J Lundgren
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark
- School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, Australia
| | - Rhys T Lemoine
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark
| | - Sophie Monsarrat
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark
- Rewilding Europe, Toernooiveld 1, 6525 ED, Nijmegen, The Netherlands
| | - Elena A Pearce
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark
| | - Mikkel H Schierup
- Bioinformatics Research Centre, Aarhus University, DK-8000, Aarhus C, Denmark
| | - Jens-Christian Svenning
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, DK-8000, Aarhus C, Denmark
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Caycho E, La Torre R, Orjeda G. Assembly, annotation and analysis of the chloroplast genome of the Algarrobo tree Neltuma pallida (subfamily: Caesalpinioideae). BMC PLANT BIOLOGY 2023; 23:570. [PMID: 37974117 PMCID: PMC10652460 DOI: 10.1186/s12870-023-04581-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 11/03/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Neltuma pallida is a tree that grows in arid soils in northwestern Peru. As a predominant species of the Equatorial Dry Forest ecoregion, it holds significant economic and ecological value for both people and environment. Despite this, the species is severely threatened and there is a lack of genetic and genomic research, hindering the proposal of evidence-based conservation strategies. RESULTS In this work, we conducted the assembly, annotation, analysis and comparison of the chloroplast genome of a N. pallida specimen with those of related species. The assembled chloroplast genome has a length of 162,381 bp with a typical quadripartite structure (LSC-IRA-SSC-IRB). The calculated GC content was 35.97%. However, this is variable between regions, with a higher GC content observed in the IRs. A total of 132 genes were annotated, of which 19 were duplicates and 22 contained at least one intron in their sequence. A substantial number of repetitive sequences of different types were identified in the assembled genome, predominantly tandem repeats (> 300). In particular, 142 microsatellites (SSR) markers were identified. The phylogenetic reconstruction showed that N. pallida grouped with the other Neltuma species and with Prosopis cineraria. The analysis of sequence divergence between the chloroplast genome sequences of N. pallida, N. juliflora, P. farcta and Strombocarpa tamarugo revealed a high degree of similarity. CONCLUSIONS The N. pallida chloroplast genome was found to be similar to those of closely related species. With a size of 162,831 bp, it had the classical chloroplast quadripartite structure and GC content of 35.97%. Most of the 132 identified genes were protein-coding genes. Additionally, over 800 repetitive sequences were identified, including 142 SSR markers. In the phylogenetic analysis, N. pallida grouped with other Neltuma spp. and P. cineraria. Furthermore, N. pallida chloroplast was highly conserved when compared with genomes of closely related species. These findings can be of great potential for further diversity studies and genetic improvement of N. pallida.
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Affiliation(s)
- Esteban Caycho
- Laboratory of Genomics and Bioinformatics for Biodiversity, Faculty of Biological Sciences, Universidad Nacional Mayor de San Marcos, 15081, Lima, Peru
| | - Renato La Torre
- Laboratory of Genomics and Bioinformatics for Biodiversity, Faculty of Biological Sciences, Universidad Nacional Mayor de San Marcos, 15081, Lima, Peru
| | - Gisella Orjeda
- Laboratory of Genomics and Bioinformatics for Biodiversity, Faculty of Biological Sciences, Universidad Nacional Mayor de San Marcos, 15081, Lima, Peru.
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50
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du Plessis SJ, Blaxter M, Koepfli KP, Chadwick EA, Hailer F. Genomics Reveals Complex Population History and Unexpected Diversity of Eurasian Otters (Lutra lutra) in Britain Relative to Genetic Methods. Mol Biol Evol 2023; 40:msad207. [PMID: 37713621 PMCID: PMC10630326 DOI: 10.1093/molbev/msad207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 08/04/2023] [Accepted: 09/06/2023] [Indexed: 09/17/2023] Open
Abstract
Conservation genetic analyses of many endangered species have been based on genotyping of microsatellite loci and sequencing of short fragments of mtDNA. The increase in power and resolution afforded by whole genome approaches may challenge conclusions made on limited numbers of loci and maternally inherited haploid markers. Here, we provide a matched comparison of whole genome sequencing versus microsatellite and control region (CR) genotyping for Eurasian otters (Lutra lutra). Previous work identified four genetically differentiated "stronghold" populations of otter in Britain, derived from regional populations that survived the population crash of the 1950s-1980s. Using whole genome resequencing data from 45 samples from across the British stronghold populations, we confirmed some aspects of population structure derived from previous marker-driven studies. Importantly, we showed that genomic signals of the population crash bottlenecks matched evidence from otter population surveys. Unexpectedly, two strongly divergent mitochondrial lineages were identified that were undetectable using CR fragments, and otters in the east of England were genetically distinct and surprisingly variable. We hypothesize that this previously unsuspected variability may derive from past releases of Eurasian otters from other, non-British source populations in England around the time of the population bottleneck. Our work highlights that even reasonably well-studied species may harbor genetic surprises, if studied using modern high-throughput sequencing methods.
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Affiliation(s)
| | - Mark Blaxter
- Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Klaus-Peter Koepfli
- Smithsonian-Mason School of Conservation, George Mason University, Front Royal, VA, USA
- Centre for Species Survival, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, USA
| | | | - Frank Hailer
- School of Biosciences, Cardiff University, Cardiff, UK
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