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Data from: De novo genome assembly of Geosmithia morbida, the causal agent of thousand cankers disease

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DataONE2016-04-11 更新2024-06-26 收录
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Geosmithia morbida is a filamentous ascomycete that causes thousand cankers disease in the eastern black walnut tree. This pathogen is commonly found in the western U.S.; however, recently the disease was also detected in several eastern states where the black walnut lumber industry is concentrated. G. morbida is one of two known phytopathogens within the genus Geosmithia, and it is vectored into the host tree via the walnut twig beetle. We present the first de novo draft genome of G. morbida. It is 26.5 Mbp in length and contains less than 1% repetitive elements. The genome possesses an estimated 6,273 genes, 277 of which are predicted to encode proteins with unknown functions. Approximately 31.5% of the proteins in G. morbida are homologous to proteins involved in pathogenicity, and 5.6% of the proteins contain signal peptides that indicate these proteins are secreted. Several studies have investigated the evolution of pathogenicity in pathogens of agricultural crops; forest fungal pathogens are often neglected because research efforts are focused on food crops. G. morbida is one of the few tree phytopathogens to be sequenced, assembled and annotated. The first draft genome of G. morbida serves as a valuable tool for comprehending the underlying molecular and evolutionary mechanisms behind pathogenesis within the Geosmithia genus.

致病死体枝霉(Geosmithia morbida)是一种丝状子囊真菌(filamentous ascomycete),可导致东部黑胡桃罹患千疮病(thousand cankers disease)。该病原菌最初常见于美国西部;但近期在美国东部多个黑胡桃木材产业集中的州也检出了该病害。致病死体枝霉是死体枝霉属(Geosmithia)目前已知的两种植物病原菌(phytopathogens)之一,可通过胡桃枝小蠹(walnut twig beetle)传播至寄主树木体内。本研究首次报道了致病死体枝霉的首张从头组装(de novo)草图基因组。该基因组全长26.5兆碱基对(Mbp),重复序列占比不足1%。该基因组预估包含6273个基因,其中277个基因预测编码功能未知的蛋白质。致病死体枝霉中约31.5%的蛋白质与致病性(pathogenicity)相关蛋白同源,另有5.6%的蛋白质含有信号肽(signal peptides),表明这些蛋白为分泌型蛋白。已有多项研究针对农作物病原菌的致病性演化展开探究,但森林真菌病原菌常因研究重心聚焦于粮食作物而被忽视。致病死体枝霉是目前少数完成全基因组测序、组装与注释的树木病原菌之一。致病死体枝霉的首张草图基因组,为解析死体枝霉属病原菌致病机制(pathogenesis)背后的潜在分子与演化机制提供了重要研究工具。
创建时间:
2016-04-11
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