Hadimani Shiva, De Britto Savitha, Udayashankar Arakere C, Geetha Nagaraj, Nayaka Chandra S, Ali Daoud, Alarifi Saud, Ito Shin-Ichi, Jogaiah Sudisha
Laboratory of Plant Healthcare and Diagnostics, PG Department of Biotechnology and Microbiology, Karnatak University, Dharwad 580003, India.
Division of Biological Sciences, School of Science and Technology, University of Goroka, Goroka 441, Papua New Guinea.
J Fungi (Basel). 2023 Mar 31;9(4):431. doi: 10.3390/jof9040431.
Pearl millet [ (L.) R. Br.] is the essential food crop for over ninety million people living in drier parts of India and South Africa. Pearl millet crop production is harshly hindered by numerous biotic stresses. causes downy mildew disease in pearl millet. Effectors are the proteins secreted by several fungi and bacteria that manipulate the host cell structure and function. This current study aims to identify genes encoding effector proteins from the genome and validate them through molecular techniques. In silico analyses were employed for candidate effector prediction. A total of 845 secretory transmembrane proteins were predicted, out of which 35 proteins carrying LxLFLAK (Leucine-any amino acid-Phenylalanine-Leucine-Alanine-Lysine) motif were crinkler, 52 RxLR (Arginine, any amino acid, Leucine, Arginine), and 17 RxLR-dEER putative effector proteins. Gene validation analysis of 17 RxLR-dEER effector protein-producing genes was carried out, of which 5genes were amplified on the gel. These novel gene sequences were submitted to NCBI. This study is the first report on the identification and characterization of effector genes in . This dataset will aid in the integration of effector classes that act independently, paving the way to investigate how pearl millet responds to effector protein interactions. These results will assist in identifying functional effector proteins involving the omic approach using newer bioinformatics tools to protect pearl millet plants against downy mildew stress. Considered together, the identified effector protein-encoding functional genes can be utilized in screening oomycetes downy mildew diseases in other crops across the globe.
珍珠粟[(L.)R. Br.]是生活在印度和南非较干旱地区的9000多万人的主要粮食作物。珍珠粟作物生产受到多种生物胁迫的严重阻碍。 导致珍珠粟霜霉病。效应子是几种真菌和细菌分泌的蛋白质,可操纵宿主细胞的结构和功能。本研究旨在从 基因组中鉴定编码效应子蛋白的基因,并通过分子技术对其进行验证。采用计算机分析进行候选效应子预测。共预测出845个分泌性跨膜蛋白,其中35个携带LxLFLAK(亮氨酸-任意氨基酸-苯丙氨酸-亮氨酸-丙氨酸-赖氨酸)基序的蛋白为卷曲蛋白,52个为RxLR(精氨酸、任意氨基酸、亮氨酸、精氨酸),17个为RxLR-dEER推定效应子蛋白。对17个产生RxLR-dEER效应子蛋白的基因进行了基因验证分析,其中5个基因在凝胶上得到扩增。这些新的基因序列已提交给NCBI。本研究是关于 中效应子基因鉴定和表征的首次报道。该数据集将有助于整合独立起作用的效应子类别,为研究珍珠粟如何响应效应子蛋白相互作用铺平道路。这些结果将有助于利用更新的生物信息学工具,通过组学方法鉴定涉及的功能性效应子蛋白,以保护珍珠粟植物免受霜霉病胁迫。综合考虑,所鉴定的编码效应子蛋白的功能基因可用于筛选全球其他作物中的卵菌霜霉病。