EUPAN enables pan-genome studies of a large number of eukaryotic genomes

被引:38
|
作者
Hu, Zhiqiang [1 ,2 ]
Sun, Chen [1 ,2 ]
Lu, Kuang-chen [1 ]
Chu, Xixia [3 ]
Zhao, Yue [1 ]
Lu, Jinyuan [1 ,2 ]
Shi, Jianxin [4 ]
Wei, Chaochun [1 ,2 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, Dept Bioinformat & Biostat, Shanghai 200240, Peoples R China
[2] Shanghai Ctr Bioinformat Technol, 1278 Keyuan Rd, Shanghai 201203, Peoples R China
[3] Shanghai Jiao Tong Univ, Bio X Inst, Shanghai 200240, Peoples R China
[4] Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, Dept Genet & Dev Sci, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
READ ALIGNMENT; RICE;
D O I
10.1093/bioinformatics/btx170
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Pan-genome analyses are routinely carried out for bacteria to interpret the within-species gene presence/absence variations (PAVs). However, pan-genome analyses are rare for eukaryotes due to the large sizes and higher complexities of their genomes. Here we proposed EUPAN, a eukaryotic pan-genome analysis toolkit, enabling automatic large-scale eukaryotic pan-genome analyses and detection of gene PAVs at a relatively low sequencing depth. In the previous studies, we demonstrated the effectiveness and high accuracy of EUPAN in the pan-genome analysis of 453 rice genomes, in which we also revealed widespread gene PAVs among individual rice genomes. Moreover, EUPAN can be directly applied to the current re-sequencing projects primarily focusing on single nucleotide polymorphisms.
引用
收藏
页码:2408 / 2409
页数:2
相关论文
共 3 条
  • [1] HUPAN: a pan-genome analysis pipeline for human genomes
    Duan, Zhongqu
    Qiao, Yuyang
    Lu, Jinyuan
    Lu, Huimin
    Zhang, Wenmin
    Yan, Fazhe
    Sun, Chen
    Hu, Zhiqiang
    Zhang, Zhen
    Li, Guichao
    Chen, Hongzhuan
    Xiang, Zhen
    Zhu, Zhenggang
    Zhao, Hongyu
    Yu, Yingyan
    Wei, Chaochun
    GENOME BIOLOGY, 2019, 20 (1)
  • [2] Four chromosome scale genomes and a pan-genome annotation to accelerate pecan tree breeding
    Lovell, John T.
    Bentley, Nolan B.
    Bhattarai, Gaurab
    Jenkins, Jerry W.
    Sreedasyam, Avinash
    Alarcon, Yanina
    Bock, Clive
    Boston, Lori Beth
    Carlson, Joseph
    Cervantes, Kimberly
    Clermont, Kristen
    Duke, Sara
    Krom, Nick
    Kubenka, Keith
    Mamidi, Sujan
    Mattison, Christopher P.
    Monteros, Maria J.
    Pisani, Cristina
    Plott, Christopher
    Rajasekar, Shanmugam
    Rhein, Hormat Shadgou
    Rohla, Charles
    Song, Mingzhou
    Hilaire, Rolston St.
    Shu, Shengqiang
    Wells, Lenny
    Webber, Jenell
    Heerema, Richard J.
    Klein, Patricia E.
    Conner, Patrick
    Wang, Xinwang
    Grauke, L. J.
    Grimwood, Jane
    Schmutz, Jeremy
    Randall, Jennifer J.
    NATURE COMMUNICATIONS, 2021, 12 (01)
  • [3] A butterfly pan-genome reveals that a large amount of structural variation underlies the evolution of chromatin accessibility
    Ruggieri, Angelo A.
    Livraghi, Luca
    Lewis, James J.
    Evans, Elizabeth
    Cicconardi, Francesco
    Hebberecht, Laura
    Ortiz-Ruiz, Yadira
    Montgomery, Stephen H.
    Ghezzi, Alfredo
    Arcadio Rodriguez-Martinez, Jose
    Jiggins, Chris D.
    Owen McMillan, W.
    Counterman, Brian A.
    Papa, Riccardo
    Van Belleghem, Steven M.
    GENOME RESEARCH, 2022, 32 (10) : 1862 - 1875