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Pangenomics in Microbial and Crop Research: Progress, Applications, and Perspectives

期刊

GENES
卷 13, 期 4, 页码 -

出版社

MDPI
DOI: 10.3390/genes13040598

关键词

pangenome; biological research; genome sequence; germplasm; novel genes; evolution; NGS

资金

  1. Bill & Melinda Gates Foundation (BMGF), USA [OPP1005131]
  2. Mars Wrigley, USA
  3. Bill and Melinda Gates Foundation [OPP1005131] Funding Source: Bill and Melinda Gates Foundation

向作者/读者索取更多资源

Advancements in sequencing technologies and bioinformatics tools have sparked interest in whole genome sequencing in various organisms. The availability of multiple genome sequences has improved our understanding of within-species diversity, leading to the concept of pangenomics. Pangenomics has opened up new avenues for research and has implications for both basic and applied studies.
Advances in sequencing technologies and bioinformatics tools have fueled a renewed interest in whole genome sequencing efforts in many organisms. The growing availability of multiple genome sequences has advanced our understanding of the within-species diversity, in the form of a pangenome. Pangenomics has opened new avenues for future research such as allowing dissection of complex molecular mechanisms and increased confidence in genome mapping. To comprehensively capture the genetic diversity for improving plant performance, the pangenome concept is further extended from species to genus level by the inclusion of wild species, constituting a super-pangenome. Characterization of pangenome has implications for both basic and applied research. The concept of pangenome has transformed the way biological questions are addressed. From understanding evolution and adaptation to elucidating host-pathogen interactions, finding novel genes or breeding targets to aid crop improvement to design effective vaccines for human prophylaxis, the increasing availability of the pangenome has revolutionized several aspects of biological research. The future availability of high-resolution pangenomes based on reference-level near-complete genome assemblies would greatly improve our ability to address complex biological problems.

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