Dong Baozhu, Liu Wanyou, Zhao Yingjie, Quan Wei, Hao Lijun, Wang Dong, Zhou Hongyou, Zhao Mingmin, Hao Jianxiu
College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot 010010, China.
Key Laboratory of Biological Pesticide Creation and Resource Utilization, Education Department of Inner Mongolia, Hohhot 010011, China.
J Fungi (Basel). 2024 Dec 4;10(12):838. doi: 10.3390/jof10120838.
, previously classified in the genus until 2007, is an attenuated pathogen known to provide cross-protection against wilt in various crops. To investigate the potential mechanisms underlying its reduced virulence, we conducted genome sequencing, annotation, and a comparative genome analysis of GnVn.1 (GnVn.1), an attenuated strain isolated from sunflower. The genome sequencing and annotation results revealed that the GnVn.1 genome consists of 22 contigs, with a total size of 31.79 Mb. We predicted 10,876 genes, resulting in a gene density of 342 genes per Mb. The pathogenicity gene prediction results indicated 1733 high-confidence pathogenicity factors (HCPFs), 895 carbohydrate-active enzymes (CAZys), and 359 effectors. Moreover, we predicted 40 secondary metabolite clusters (SMCs). The comparative genome analysis indicated that GnVn.1 contains more CAZys, SMCs, predicted effectors, and HCPF genes than (VdLs.17) and (VaMas.102). The core-pan analysis results showed that GnVn.1 had more specific HCPFs, effectors, CAZys, and secreted protein (SP) genes, and lost many critical pathogenic genes compared to VdLs.17 and VaMs.102. Our results indicate that the GnVn.1 genome harbors more pathogenicity-related genes than the VdLs.17 and VaMs.102 genomes. These abundant genes may play critical roles in regulating virulence. The loss of critical pathogenic genes causes weak virulence and confers biocontrol strategies to GnVn.1.
以前一直归类于该属,直到2007年,是一种减毒病原体,已知可为多种作物提供对枯萎病的交叉保护。为了研究其毒力降低的潜在机制,我们对从向日葵中分离出的减毒株GnVn.1进行了基因组测序、注释和比较基因组分析。基因组测序和注释结果表明,GnVn.1基因组由22个重叠群组成,总大小为31.79 Mb。我们预测了10876个基因,基因密度为每兆碱基342个基因。致病性基因预测结果显示有1733个高可信度致病性因子(HCPFs)、895个碳水化合物活性酶(CAZys)和359个效应子。此外,我们预测了40个次生代谢物簇(SMCs)。比较基因组分析表明,GnVn.1比(VdLs.17)和(VaMas.102)含有更多的CAZys、SMCs、预测的效应子和HCPF基因。核心-泛基因组分析结果表明,与VdLs.17和VaMs.102相比,GnVn.1有更多的特异性HCPFs、效应子、CAZys和分泌蛋白(SP)基因,并且失去了许多关键的致病基因。我们的结果表明,GnVn.1基因组比VdLs.17和VaMs.102基因组含有更多与致病性相关的基因。这些丰富的基因可能在调节毒力方面发挥关键作用。关键致病基因的缺失导致毒力减弱,并赋予GnVn.1生物防治策略。