• Login
    View Item 
    •   Home
    • San Diego Zoo Global Research
    • Institute for Conservation Research
    • ICR Research Publications
    • View Item
    •   Home
    • San Diego Zoo Global Research
    • Institute for Conservation Research
    • ICR Research Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of San Diego Zoo Global RepositoryCommunitiesPublication DateAuthorsTitlesSubjectsTypeJournalSeriesThis CollectionPublication DateAuthorsTitlesSubjectsTypeJournalSeries

    My Account

    LoginRegister

    Contact & Info

    Quick GuideSDZG LibrarySDZG Subject Headings

    Statistics

    Display statistics

    Large-scale ruminant genome sequencing provides insights into their evolution and distinct traits

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Average rating
     
       votes
    Cast your vote
    You can rate an item by clicking the amount of stars they wish to award to this item. When enough users have cast their vote on this item, the average rating will also be shown.
    Star rating
     
    Your vote was cast
    Thank you for your feedback
    Issue Date
    2019
    Author
    Chen, Lei
    Qiu, Qiang
    Jiang, Yu
    Wang, Kun
    Lin, Zeshan
    Li, Zhipeng
    Bibi, Faysal
    Yang, Yongzhi
    Wang, Jinhuan
    Nie, Wenhui
    Su, Weiting
    Liu, Guichun
    Li, Qiye
    Fu, Weiwei
    Pan, Xiangyu
    Liu, Chang
    Yang, Jie
    Zhang, Chenzhou
    Yin, Yuan
    Wang, Yu
    Zhao, Yue
    Zhang, Chen
    Wang, Zhongkai
    Qin, Yanli
    Liu, Wei
    Wang, Bao
    Ren, Yandong
    Zhang, Ru
    Zeng, Yan
    da Fonseca, Rute R.
    Wei, Bin
    Li, Ran
    Wan, Wenting
    Zhao, Ruoping
    Zhu, Wenbo
    Wang, Yutao
    Duan, Shengchang
    Gao, Yun
    Zhang, Yong E.
    Chen, Chunyan
    Hvilsom, Christina
    Epps, Clinton W.
    Chemnick, Leona G.
    Dong, Yang
    Mirarab, Siavash
    Siegismund, Hans Redlef
    Ryder, Oliver A.
    Gilbert, M. Thomas P.
    Lewin, Harris A.
    Zhang, Guojie
    Heller, Rasmus
    Wang, Wen
    Show allShow less
    Subject
    RUMINANTS
    GENOMICS
    Journal title
    Science
    Volume
    364
    Issue
    6446
    Begin page
    eaav6202
    
    Metadata
    Show full item record
    DOI
    10.1126/science.aav6202
    Alternative link
    http://www.sciencemag.org/lookup/doi/10.1126/science.aav6202
    Abstract
    The ruminants are one of the most successful mammalian lineages, exhibiting morphological and habitat diversity and containing several key livestock species. To better understand their evolution, we generated and analyzed de novo assembled genomes of 44 ruminant species, representing all six Ruminantia families....
    URI
    http://hdl.handle.net/20.500.12634/79
    Type
    Article
    Rights
    Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science.
    Rights link
    http://www.sciencemag.org/about/science-licenses-journal-article-reuse
    ae974a485f413a2113503eed53cd6c53
    10.1126/science.aav6202
    Scopus Count
    Collections
    ICR Research Publications

    entitlement

     

    Related items

    Showing items related by title, author, creator and subject.

    • Thumbnail

      Comparative genomics reveals insights into avian genome evolution and adaptation

      Zhang, Guojie; Li, Cai; Li, Qiye; Li, Bo; Larkin, Denis M.; Lee, Chul; Storz, Jay F.; Antunes, Agostinho; Greenwold, Matthew J.; Meredith, Robert W.; et al. (2014)
      Birds are the most species-rich class of tetrapod vertebrates and have wide relevance across many research fields. We explored bird macroevolution using full genomes from 48 avian species representing all major extant clades....
    • Thumbnail

      The value of ecosystem services from giant panda reserves

      Wei, Fuwen; Costanza, Robert; Dai, Qiang; Stoeckl, Natalie; Gu, Xiaodong; Farber, Stephen; Nie, Yonggang; Kubiszewski, Ida; Hu, Yibo; Swaisgood, Ronald R.; et al. (2018)
      Ecosystem services (the benefits to humans from ecosystems) are estimated globally at $125 trillion/year [1, 2]. Similar assessments at national and regional scales show how these services support our lives [3]. All valuations recognize the role of biodiversity, which continues to decrease around the world in maintaining these services [4, 5]....
    • Thumbnail

      Genomic analysis of snub-nosed monkeys (Rhinopithecus) identifies genes and processes related to high-altitude adaptation

      Yu, Li; Wang, Guo-Dong; Ruan, Jue; Chen, Yong-Bin; Yang, Cui-Ping; Cao, Xue; Wu, Hong; Liu, Yan-Hu; Du, Zheng-Lin; Wang, Xiao-Ping; et al. (2016)
      The snub-nosed monkey genus Rhinopithecus includes five closely related species distributed across altitudinal gradients from 800 to 4,500 m. Rhinopithecus bieti, Rhinopithecus roxellana, and Rhinopithecus strykeri inhabit high-altitude habitats, whereas Rhinopithecus brelichi and Rhinopithecus avunculus inhabit lowland regions. We report the de novo whole-genome sequence of R. bieti and genomic sequences for the four other species. Eight shared substitutions were found in six genes related to lung function, DNA repair, and angiogenesis in the high-altitude snub-nosed monkeys. Functional assays showed that the high-altitude variant of CDT1 (Ala537Val) renders cells more resistant to UV irradiation, and the high-altitude variants of RNASE4 (Asn89Lys and Thr128Ile) confer enhanced ability to induce endothelial tube formation in vitro. Genomic scans in the R. bieti and R. roxellana populations identified signatures of selection between and within populations at genes involved in functions relevant to high-altitude adaptation. These results provide valuable insights into the adaptation to high altitude in the snub-nosed monkeys.

    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.