Suppr超能文献

利用转录组测序在鹰嘴豆中发现假定的除草剂抗性基因及其调控网络

Discovery of Putative Herbicide Resistance Genes and Its Regulatory Network in Chickpea Using Transcriptome Sequencing.

作者信息

Iquebal Mir A, Soren Khela R, Gangwar Priyanka, Shanmugavadivel P S, Aravind K, Singla Deepak, Jaiswal Sarika, Jasrotia Rahul S, Chaturvedi Sushil K, Singh Narendra P, Varshney Rajeev K, Rai Anil, Kumar Dinesh

机构信息

Centre for Agricultural Bioinformatics, Indian Agricultural Statistics Research Institute (ICAR)New Delhi, India.

Division of Plant Biotechnology, Indian Institute of Pulses Research (ICAR)Kanpur, India.

出版信息

Front Plant Sci. 2017 Jun 7;8:958. doi: 10.3389/fpls.2017.00958. eCollection 2017.

Abstract

Chickpea ( L.) contributes 75% of total pulse production. Being cheaper than animal protein, makes it important in dietary requirement of developing countries. Weed not only competes with chickpea resulting into drastic yield reduction but also creates problem of harboring fungi, bacterial diseases and insect pests. Chemical approach having new herbicide discovery has constraint of limited lead molecule options, statutory regulations and environmental clearance. Through genetic approach, transgenic herbicide tolerant crop has given successful result but led to serious concern over ecological safety thus non-transgenic approach like marker assisted selection is desirable. Since large variability in tolerance limit of herbicide already exists in chickpea varieties, thus the genes offering herbicide tolerance can be introgressed in variety improvement programme. Transcriptome studies can discover such associated key genes with herbicide tolerance in chickpea. This is first transcriptomic studies of chickpea or even any legume crop using two herbicide susceptible and tolerant genotypes exposed to imidazoline (Imazethapyr). Approximately 90 million paired-end reads generated from four samples were processed and assembled into 30,803 contigs using reference based assembly. We report 6,310 differentially expressed genes (DEGs), of which 3,037 were regulated by 980 miRNAs, 1,528 transcription factors associated with 897 DEGs, 47 Hub proteins, 3,540 putative Simple Sequence Repeat-Functional Domain Marker (SSR-FDM), 13,778 genic Single Nucleotide Polymorphism (SNP) putative markers and 1,174 Indels. Randomly selected 20 DEGs were validated using qPCR. Pathway analysis suggested that xenobiotic degradation related gene, glutathione S-transferase (GST) were only up-regulated in presence of herbicide. Down-regulation of DNA replication genes and up-regulation of abscisic acid pathway genes were observed. Study further reveals the role of cytochrome P450, xyloglucan endotransglucosylase/hydrolase, glutamate dehydrogenase, methyl crotonoyl carboxylase and of thaumatin-like genes in herbicide resistance. Reported DEGs can be used as genomic resource for future discovery of candidate genes associated with herbicide tolerance. Reported markers can be used for future association studies in order to develop marker assisted selection (MAS) for refinement. In endeavor of chickpea variety development programme, these findings can be of immense use in improving productivity of chickpea germplasm.

摘要

鹰嘴豆(L.)占豆类总产量的75%。由于其价格低于动物蛋白,在发展中国家的饮食需求中具有重要意义。杂草不仅与鹰嘴豆竞争,导致产量大幅下降,还会引发真菌、细菌病害和虫害问题。化学方法中新型除草剂的发现受到铅分子选择有限、法规限制和环境审批的制约。通过基因方法,转基因抗除草剂作物已取得成功,但引发了对生态安全的严重担忧,因此像标记辅助选择这样的非转基因方法是可取的。由于鹰嘴豆品种对除草剂的耐受限度存在很大差异,因此在品种改良计划中可以导入提供除草剂耐受性的基因。转录组研究可以发现鹰嘴豆中与除草剂耐受性相关的关键基因。这是首次对鹰嘴豆或任何豆科作物进行转录组研究,使用了两种对咪唑啉(咪草烟)敏感和耐受的基因型。对四个样本产生的约9000万对末端读数进行了处理,并使用基于参考的组装方法组装成30803个重叠群。我们报告了6310个差异表达基因(DEG),其中3037个受980个miRNA调控,1528个转录因子与897个DEG相关,47个中心蛋白,3540个假定的简单序列重复-功能域标记(SSR-FDM),13778个基因单核苷酸多态性(SNP)假定标记和1174个插入缺失。随机选择20个DEG使用qPCR进行验证。通路分析表明,与异生物质降解相关的基因谷胱甘肽S-转移酶(GST)仅在有除草剂存在时上调。观察到DNA复制基因下调,脱落酸途径基因上调。研究进一步揭示了细胞色素P450、木葡聚糖内转糖基酶/水解酶、谷氨酸脱氢酶、甲基巴豆酰辅酶A羧化酶和类thaumatin基因在除草剂抗性中的作用。报告的DEG可作为未来发现与除草剂耐受性相关候选基因的基因组资源。报告的标记可用于未来关联研究,以开发标记辅助选择(MAS)进行改良。在鹰嘴豆品种开发计划的努力中,这些发现对提高鹰嘴豆种质的生产力具有巨大作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6829/5461349/6730e69a030d/fpls-08-00958-g0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验