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谷物EST数据库:一个包含主要谷物作物中非生物胁迫响应注释ESTs的综合资源库,这些ESTs带有预测基因、基因本体论和代谢途径信息。

CerealESTDb: A Comprehensive Resource for Abiotic Stress-Responsive Annotated ESTs With Predicted Genes, Gene Ontology, and Metabolic Pathways in Major Cereal Crops.

作者信息

Kumar Sanjeev, Bhati Jyotika, Saha Arijit, Lal Shashi Bhushan, Pandey Pankaj Kumar, Mishra Dwijesh Chandra, Farooqi Mohammad Samir, Kumar Anuj, Chaturvedi Krishna Kumar, Rai Anil

机构信息

Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, India.

出版信息

Front Genet. 2022 Feb 24;13:842868. doi: 10.3389/fgene.2022.842868. eCollection 2022.

Abstract

Cereals are the most important food crops and are considered key contributors to global food security. Loss due to abiotic stresses in cereal crops is limiting potential productivity in a significant manner. The primary reasons for abiotic stresses are abrupt temperature, variable rainfall, and declining nutrient status of the soil. Varietal development is the key to sustaining productivity under influence of multiple abiotic stresses and must be studied in context with genomics and molecular breeding. Recently, advances in a plethora of Next Generation Sequencing (NGS) based methods have accelerated the enormous genomic data generation associated with stress-induced transcripts such as microarray, RNAseq, Expressed Sequenced Tag (ESTs), etc. Many databases related to microarray and RNA-seq based transcripts have been developed and profusely utilized. However, an abundant amount of transcripts related to abiotic stresses in various cereal crops arising from EST technology are available but still remain underutilized in absence of a consolidated database. In this study, an attempt has been made with a primary goal to integrate, analyse, and characterise the available resources of ESTs responsive to abiotic stresses in major cereals. The developed CerealESTdb presents a customisable search in two different ways in the form of searchable content for easy access and potential use. This database comprises ESTs from four major cereal crops, namely rice ( L.), wheat ( L.), sorghum ( L.), and maize ( L.), under a set of abiotic stresses. The current statistics of this cohesive database consists of 55,826 assembled EST sequences, 51,791 predicted genes models, and their 254,609 gene ontology terms including extensive information on 1,746 associated metabolic pathways. We anticipate that developed CerealESTdb will be helpful in deciphering the knowledge of complex biological phenomena under abiotic stresses to accelerate the molecular breeding programs towards the development of crop cultivars resilient to abiotic stresses. The CerealESTdb is publically available with the URL http://cabgrid.res.in/CerealESTDb.

摘要

谷物是最重要的粮食作物,被认为是全球粮食安全的关键贡献者。谷物作物因非生物胁迫造成的损失正严重限制其潜在生产力。非生物胁迫的主要原因是温度突变、降雨多变以及土壤养分状况下降。品种改良是在多种非生物胁迫影响下维持生产力的关键,必须结合基因组学和分子育种进行研究。最近,大量基于下一代测序(NGS)的方法取得进展,加速了与应激诱导转录本相关的海量基因组数据生成,如微阵列、RNA测序、表达序列标签(ESTs)等。许多与基于微阵列和RNA测序的转录本相关的数据库已被开发并大量使用。然而,通过EST技术获得的各种谷物作物中与非生物胁迫相关的大量转录本虽有,但由于缺乏整合数据库,仍未得到充分利用。在本研究中,我们进行了一次尝试,主要目标是整合、分析和表征主要谷物中对非生物胁迫有响应的ESTs可用资源。所开发的CerealESTdb以两种不同方式呈现可定制搜索,形式为可搜索内容,便于访问和潜在使用。该数据库包含来自四种主要谷物作物(即水稻(L.)、小麦(L.)、高粱(L.)和玉米(L.))在一组非生物胁迫下的ESTs。这个整合数据库的当前统计数据包括55,826个组装的EST序列、51,791个预测基因模型及其254,609个基因本体术语,包括关于1,746条相关代谢途径的广泛信息。我们预计,所开发的CerealESTdb将有助于解读非生物胁迫下复杂生物现象的知识,以加速分子育种计划,培育出对非生物胁迫具有抗性的作物品种。CerealESTdb可通过网址http://cabgrid.res.in/CerealESTDb公开获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/accd/8907976/f0d6bf6475bd/fgene-13-842868-g001.jpg

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