Large-scale genomic analysis of the domestic dog informs biological discovery

被引:0
|
作者
Buckley, Reuben M. [1 ]
Ostrander, Elaine A. [1 ]
机构
[1] NHGRI, NIH, Bethesda, MD 20892 USA
基金
美国国家卫生研究院;
关键词
ANALYSES REVEAL; VILLAGE DOGS; MUTATION; TRAITS; ORIGIN; CANCER; MODEL; VARIANTS; GENETICS; PROGRAMS;
D O I
10.1101/gr.278569.123
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Recent advances in genomics, coupled with a unique population structure and remarkable levels of variation, have propelled the domestic dog to new levels as a system for understanding fundamental principles in mammalian biology. Central to this advance are more than 350 recognized breeds, each a closed population that has undergone selection for unique features. Genetic variation in the domestic dog is particularly well characterized compared with other domestic mammals, with almost 3000 high-coverage genomes publicly available. Importantly, as the number of sequenced genomes increases, new avenues for analysis are becoming available. Herein, we discuss recent discoveries in canine genomics regarding behavior, morphology, and disease susceptibility. We explore the limitations of current data sets for variant interpretation, tradeoffs between sequencing strategies, and the burgeoning role of long-read genomes for capturing structural variants. In addition, we consider how large-scale collections of whole-genome sequence data drive rare variant discovery and assess the geographic distribution of canine diversity, which identifies Asia as a major source of missing variation. Finally, we review recent comparative genomic analyses that will facilitate annotation of the noncoding genome in dogs.
引用
收藏
页码:811 / 821
页数:11
相关论文
共 50 条
  • [21] Large-scale gene expression analysis in molecular target discovery
    Orr, MS
    Scherf, U
    LEUKEMIA, 2002, 16 (04) : 473 - 477
  • [22] Large-scale gene expression analysis in molecular target discovery
    MS Orr
    U Scherf
    Leukemia, 2002, 16 : 473 - 477
  • [23] Secure discovery of genetic relatives across large-scale and distributed genomic data sets
    Hong, Matthew M.
    Froelicher, David
    Magner, Ricky
    Popic, Victoria
    Berger, Bonnie
    Cho, Hyunghoon
    GENOME RESEARCH, 2024, 34 (09) : 1312 - 1323
  • [24] Large-scale discovery of covalent ligands
    Arnaud, Celia
    CHEMICAL & ENGINEERING NEWS, 2016, 94 (25) : 8 - 8
  • [25] Large-Scale Unsupervised Object Discovery
    Vo, Huy V.
    Sizikova, Elena
    Schmid, Cordelia
    Perez, Patrick
    Ponce, Jean
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
  • [26] Large-scale dog and human genome analysis focusing on hereditary cancer
    Yamada, Ryoko
    Mizukami, Keijiro
    Momozawa, Yukihide
    CANCER SCIENCE, 2023, 114 : 64 - 64
  • [27] BioSEAL: In-Memory Biological Sequence Alignment Accelerator for Large-Scale Genomic Data
    Kaplan, Roman
    Yavits, Leonid
    Ginosasr, Ran
    PROCEEDINGS OF THE 13TH ACM INTERNATIONAL SYSTEMS AND STORAGE CONFERENCE (SYSTOR 2020), 2020, : 36 - 48
  • [28] The role of large-scale genomic analysis in the future of hereditary cancer treatment
    Momozawa, Yukihide
    CANCER SCIENCE, 2024, 115 : 824 - 824
  • [29] Large-scale functional genomic analysis of sporulation and meiosis in Saccharomyces cerevisiae
    Enyenihi, AH
    Saunders, WS
    GENETICS, 2003, 163 (01) : 47 - 54
  • [30] Large-scale genomic analysis reveals the genetic cost of chicken domestication
    Wang, Ming-Shan
    Zhang, Jin-Jin
    Guo, Xing
    Li, Ming
    Meyer, Rachel
    Ashari, Hidayat
    Zheng, Zhu-Qing
    Wang, Sheng
    Peng, Min-Sheng
    Jiang, Yu
    Thakur, Mukesh
    Suwannapoom, Chatmongkon
    Esmailizadeh, Ali
    Hirimuthugoda, Nalini Yasoda
    Zein, Moch Syamsul Arifin
    Kusza, Szilvia
    Kharrati-Koopaee, Hamed
    Zeng, Lin
    Wang, Yun-Mei
    Yin, Ting-Ting
    Yang, Min-Min
    Li, Ming-Li
    Lu, Xue-Mei
    Lasagna, Emiliano
    Ceccobelli, Simone
    Gunwardana, Humpita Gamaralalage Thilini Nisanka
    Senasig, Thilina Madusanka
    Feng, Shao-Hong
    Zhang, Hao
    Bhuiyan, Abul Kashem Fazlul Haque
    Khan, Muhammad Sajjad
    Silva, Gamamada Liyanage Lalanie Pradeepa
    Le Thi Thuy
    Mwai, Okeyo A.
    Ibrahim, Mohamed Nawaz Mohamed
    Zhang, Guojie
    Qu, Kai-Xing
    Hanotte, Olivier
    Shapiro, Beth
    Bosse, Mirte
    Wu, Dong-Dong
    Han, Jian-Lin
    Zhang, Ya-Ping
    BMC BIOLOGY, 2021, 19 (01)