Suppr超能文献

洋葱鳞茎的从头转录组分析以鉴定过敏原和表位

De Novo Transcriptome Analysis of Allium cepa L. (Onion) Bulb to Identify Allergens and Epitopes.

作者信息

Rajkumar Hemalatha, Ramagoni Ramesh Kumar, Anchoju Vijayendra Chary, Vankudavath Raju Naik, Syed Arshi Uz Zaman

机构信息

Department of Microbiology & Immunology, National Institute of Nutrition, Indian Council of Medical Research, Hyderabad, Telangana State, 500 007, India.

Biomedical Informatics Center, National Institute of Nutrition, Indian Council of Medical Research, Hyderabad, Telangana State, 500007, India.

出版信息

PLoS One. 2015 Aug 18;10(8):e0135387. doi: 10.1371/journal.pone.0135387. eCollection 2015.

Abstract

Allium cepa (onion) is a diploid plant with one of the largest nuclear genomes among all diploids. Onion is an example of an under-researched crop which has a complex heterozygous genome. There are no allergenic proteins and genomic data available for onions. This study was conducted to establish a transcriptome catalogue of onion bulb that will enable us to study onion related genes involved in medicinal use and allergies. Transcriptome dataset generated from onion bulb using the Illumina HiSeq 2000 technology showed a total of 99,074,309 high quality raw reads (~20 Gb). Based on sequence homology onion genes were categorized into 49 different functional groups. Most of the genes however, were classified under 'unknown' in all three gene ontology categories. Of the categorized genes, 61.2% showed metabolic functions followed by cellular components such as binding, cellular processes; catalytic activity and cell part. With BLASTx top hit analysis, a total of 2,511 homologous allergenic sequences were found, which had 37-100% similarity with 46 different types of allergens existing in the database. From the 46 contigs or allergens, 521 B-cell linear epitopes were identified using BepiPred linear epitope prediction tool. This is the first comprehensive insight into the transcriptome of onion bulb tissue using the NGS technology, which can be used to map IgE epitopes and prediction of structures and functions of various proteins.

摘要

洋葱(Allium cepa)是一种二倍体植物,其核基因组在所有二倍体中是最大的之一。洋葱是一种研究不足的作物,其基因组复杂且杂合。目前尚无关于洋葱的致敏蛋白和基因组数据。本研究旨在建立洋葱鳞茎的转录组目录,以便我们研究与药用和过敏相关的洋葱基因。使用Illumina HiSeq 2000技术从洋葱鳞茎生成的转录组数据集显示共有99,074,309条高质量原始 reads(约20 Gb)。基于序列同源性,洋葱基因被分为49个不同的功能组。然而,在所有三个基因本体类别中,大多数基因被归类为“未知”。在已分类的基因中,61.2% 显示出代谢功能,其次是细胞成分,如结合、细胞过程;催化活性和细胞部分。通过BLASTx最佳匹配分析,共发现2511条同源致敏序列,与数据库中存在的46种不同类型的过敏原具有37-100% 的相似性。使用BepiPred线性表位预测工具从46个重叠群或过敏原中鉴定出521个B细胞线性表位。这是首次使用NGS技术对洋葱鳞茎组织转录组进行全面深入的研究,可用于绘制IgE表位以及预测各种蛋白质的结构和功能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa78/4564285/29181aa44ca5/pone.0135387.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验