Draft genome sequence data of Fusarium verticillioides strain REC01, a phytopathogen isolated from a Peruvian maize

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-09-23 DOI:10.1016/j.dib.2024.110951
Richard Estrada , Liliana Aragón , Wendy E. Pérez , Yolanda Romero , Gabriel Martínez , Karina Garcia , Juancarlos Cruz , Carlos I. Arbizu
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Abstract

Fusarium verticillioides represents a major phytopathogenic threat to maize crops worldwide. In this study, we present genomic sequence data of a phytopathogen isolated from a maize stem that shows obvious signs of vascular rot. Using rigorous microbiological identification techniques, we correlated the disease symptoms observed in an affected maize region with the presence of the pathogen. Subsequently, the pathogen was cultured in a suitable fungal growth medium and extensive morphological characterization was performed. In addition, a pathogenicity test was carried out in a DCA model with three treatments and seven repetitions. De novo assembly from Illumina Novaseq 6000 sequencing yielded 456 contigs, which together constitute a 42.8 Mb genome assembly with a GC % content of 48.26. Subsequent comparative analyses were performed with other Fusarium genomes available in the NCBI database.
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从秘鲁玉米中分离出的植物病原体 Fusarium verticillioides 菌株 REC01 的基因组序列数据草案
疣孢镰刀菌(Fusarium verticillioides)是威胁全球玉米作物的主要植物病原菌。在本研究中,我们展示了从有明显维管束腐烂症状的玉米茎中分离出的植物病原菌的基因组序列数据。通过严格的微生物鉴定技术,我们将在受影响玉米区域观察到的病害症状与病原体的存在联系起来。随后,我们在合适的真菌生长培养基中培养了病原体,并对其进行了广泛的形态鉴定。此外,我们还在 DCA 模型中进行了致病性测试,共进行了三次处理和七次重复。从 Illumina Novaseq 6000 测序中重新组装得到了 456 个等位基因,它们共同构成了一个 42.8 Mb 的基因组,GC%含量为 48.26。随后与 NCBI 数据库中的其他镰刀菌基因组进行了比较分析。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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