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从 叶片中分离出的 基因组序列和比较分析。

Genome Sequence and Comparative Analysis of Isolated from Leaves.

机构信息

Key Laboratory of Forest Genetics & Biotechnology of Ministry of Education of China, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.

College of Forestry, Nanjing Forestry University, Nanjing, China.

出版信息

Phytopathology. 2020 Jul;110(7):1260-1269. doi: 10.1094/PHYTO-12-19-0452-R. Epub 2020 May 13.

DOI:10.1094/PHYTO-12-19-0452-R
PMID:32202483
Abstract

is a hemibiotrophic pathogen causing significant losses to economically important crops and forest trees, including . To explore the interaction between and and to identify the candidate genes determining the pathogenesis, we sequenced and assembled the whole genome of (CgLc1) using PacBio and Illumina next generation sequencing and performed a comparative genomic analysis between CgLc1 and Cg01, the latter being a described endophytic species of the complex. Gene structure prediction identified 15,744 protein-coding genes and 837 noncoding RNAs. Species-specific genes were characterized using an ortholog analysis followed by a pathway enrichment analysis, which showed that genes specific to CgLc1 were enriched for the arginine biosynthetic process. Furthermore, genome synteny analysis revealed that most of the protein-coding genes fell into collinear blocks. However, two clusters of polyketide synthase genes were identified to be specific for CgLc1, suggesting that they might have an important role in virulence control. Transcriptional regulators coexpressed with polyketide synthase genes were detected through a Weighted Correlation Network Analysis. Taken together, this work provides new insight into the virulence- and pathogenesis-associated genes present in and its possible lifestyle.

摘要

是一种半活体营养病原体,会对包括在内的重要经济作物和林木造成重大损失。为了探索与之间的相互作用并鉴定决定发病机制的候选基因,我们使用 PacBio 和 Illumina 下一代测序技术对(CgLc1)的全基因组进行了测序和组装,并对 CgLc1 和 Cg01 进行了比较基因组分析,后者是描述的复杂内生种。基因结构预测确定了 15744 个编码蛋白的基因和 837 个非编码 RNA。使用同源分析和途径富集分析对物种特异性基因进行了特征描述,结果表明,CgLc1 特有的基因富集了精氨酸生物合成过程。此外,基因组同线性分析表明,大多数编码蛋白的基因落入共线性块中。然而,鉴定出两个聚酮合酶基因簇是 CgLc1 特有的,这表明它们可能在控制毒力方面发挥重要作用。通过加权相关网络分析检测到与聚酮合酶基因共表达的转录调节因子。总之,这项工作为提供了有关其致病和发病相关基因及其可能的生活方式的新见解。

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