4.8 Review

Ten Years of Collaborative Progress in the Quest for Orthologs

期刊

MOLECULAR BIOLOGY AND EVOLUTION
卷 38, 期 8, 页码 3033-3045

出版社

OXFORD UNIV PRESS
DOI: 10.1093/molbev/msab098

关键词

orthology; viruses; phylogenetic profiling; paralogy; xenology; gene models

资金

  1. National Institute for Basic Biology
  2. Japanese Society for Bioinformatics
  3. Daiko Foundation
  4. Swiss Institute of Bioinformatics, Swiss National Science Foundation [183723]
  5. NSF [1724300]
  6. KAKENHI [JP18H01325]
  7. Landes-Offensive zur Entwicklung lWissenschaftlich-okonomischer Exzellenz (LOEWE) of the State of Hessen, Research Center for Translational Biodiversity Genomics (TBG)
  8. Wellcome Trust [108749/Z/15/Z]
  9. National Human Genome Research Institute, National Institutes of Health NIH [U41HG002273]
  10. National Science Foundation NSF [1917302]
  11. Japan Society for the Promotion of Science [16H06279, 19F19089]
  12. Direct For Biological Sciences
  13. Emerging Frontiers [1724300] Funding Source: National Science Foundation
  14. Div Of Biological Infrastructure
  15. Direct For Biological Sciences [1917302] Funding Source: National Science Foundation
  16. Wellcome Trust [108749/Z/15/Z] Funding Source: Wellcome Trust
  17. Grants-in-Aid for Scientific Research [19F19089] Funding Source: KAKEN

向作者/读者索取更多资源

Accurate determination of evolutionary relationships between genes is crucial in biology, with homology often determined by sequence similarity analysis. However, distinguishing between orthologs and paralogs presents challenges. The recent QFO meeting in Japan highlighted progress in standardizing orthology methods and integrating orthology across different biological levels, while also revealing challenges in leveraging orthology computations and adapting methods to genomic diversity.
Accurate determination of the evolutionary relationships between genes is a foundational challenge in biology. Homology-evolutionary relatedness-is in many cases readily determined based on sequence similarity analysis. By contrast, whether or not two genes directly descended from a common ancestor by a speciation event (orthologs) or duplication event (paralogs) is more challenging, yet provides critical information on the history of a gene. Since 2009, this task has been the focus of the Quest for Orthologs (QFO) Consortium. The sixth QFO meeting took place in Okazaki, Japan in conjunction with the 67th National Institute for Basic Biology conference. Here, we report recent advances, applications, and oncoming challenges that were discussed during the conference. Steady progress has been made toward standardization and scalability of new and existing tools. A feature of the conference was the presentation of a panel of accessible tools for phylogenetic profiling and several developments to bring orthology beyond the gene unit-from domains to networks. This meeting brought into light several challenges to come: leveraging orthology computations to get the most of the incoming avalanche of genomic data, integrating orthology from domain to biological network levels, building better gene models, and adapting orthology approaches to the broad evolutionary and genomic diversity recognized in different forms of life and viruses.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据