Core genome MLST for epidemiological and evolutionary analyses of phytopathogenic Xanthomonas citri
Core genome MLST for epidemiological and evolutionary analyses of phytopathogenic Xanthomonas citri
复制标题
用于植物病原柑橘黄单胞菌流行病学和进化分析的核心基因组 MLST
DOI:
10.1101/2022.12.20.521341
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发表时间:
2022
期刊:
影响因子:
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通讯作者:
Ragupathy R
中科院分区:
文献类型:
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作者:
Ragupathy R
Xanthomonas citrisubspeciescitri(XCC) is the cause of bacterial citrus canker, responsible for major economic losses to the citrus industry that includes sweet orange, lime and grapefruit production in regions including South America, United States, China and Japan. OtherX. citrisubsp. and pathovars are responsible for diseases in crops such as soy bean, common bean, mango, pomegranate and cashew. Tracing the spread ofX. citridisease has been performed using several different typing methods over the years but recent studies using genomic sequencing have been key to understanding evolutionary relationships within the species including fundamental differences between XCC pathotypes.In this study we developed a core genome multilocus typing scheme (cgMLST) forX. citribased upon 250 genomes comprising multiple examples ofX. citrisubsp.citripathotypes A, A* and Aw,X. citrisubsp.malvacearumandX. citripathovarsaurantifolii, fuscans, glycines, malvacearum, mangiferaeindicae, viticola, vignicolaand single isolates ofX. citripathovarsdieffenbachiaeandpunicae. This dataset included genomic sequencing of 100 novel XCC isolates. The cgMLST scheme, based upon 1618 core genes across 250 genomes, has been implemented at PubMLST (https://pubmlst.org/organisms/xanthomonas-citri/). Grapetree minimum-spanning, and iTOL Neighbour-joining phylogenies generated from cgMLST data resolved almost identical groupings of isolates to a core genome SNP - based neighbour joining phylogeny taking 4 min, 15 min and 36 h respectively. These resolved identical groupings of XCC pathotypes andX. citrisubsp. and pathovars.X. citricgMLST should prove to be an increasingly valuable resource for the study of this key species of plant pathogenic bacteria. Users can submit genomic and associated metadata to compare with previously characterised isolates at PubMLST.org to allow rapid characterization of local, national and global epidemiology of these pathogens and examine evolutionary relationships.
影响因子:
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作者:
Jolley KA;Bray JE;Maiden MCJ
通讯作者:
Maiden MCJ
DOI:
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发表时间:
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期刊:
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影响因子:
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作者:
Systems Biology
通讯作者:
Systems Biology