In-silico Based Genome-Wide Identification and Analysis of Glutathione S-Transferase Gene Family in Beet (Beta vulgaris subsp. vulgaris)

IF 1.8 3区 农林科学 Q2 AGRONOMY
Shivani Tiwari, Swati Vaish, Nootan Singh, Mahesh Basantani, Atul Bhargava
{"title":"In-silico Based Genome-Wide Identification and Analysis of Glutathione S-Transferase Gene Family in Beet (Beta vulgaris subsp. vulgaris)","authors":"Shivani Tiwari,&nbsp;Swati Vaish,&nbsp;Nootan Singh,&nbsp;Mahesh Basantani,&nbsp;Atul Bhargava","doi":"10.1007/s12355-024-01451-8","DOIUrl":null,"url":null,"abstract":"<div><p>The present investigation aimed at large-scale genome wide identification and characterization of glutathione S-transferases (GST) gene family in sugar beet (<i>Beta vulgaris</i> subsp. <i>vulgaris</i>). A total of 35 GST genes were identified in sugar beet that were divided into 10 classes of which tau (19) and phi (4) were the most abundant. Sub-cellular localization analysis revealed that most of the identified beet GST proteins were localized in the cytoplasm. Gene duplication analysis revealed that purifying type selection and tandem duplication were majorly responsible for expansion of the gene family. Multiple sequence alignment showed that serine and cysteine catalytic residues were highly conserved in beet GSTs. The present study identified 26 cis-acting regulatory elements which were responsible for responses against different types of stresses and plant development. The evolutionary relationship of beet GST proteins showed that the tau and phi class GSTs were closely associated with those of other plants. This comprehensive study of GST gene family in sugar beet provides firm base for functional analysis of beet GST genes at molecular level along with potential applications in genetic improvement of the crop.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"26 5","pages":"1357 - 1369"},"PeriodicalIF":1.8000,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sugar Tech","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s12355-024-01451-8","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

Abstract

The present investigation aimed at large-scale genome wide identification and characterization of glutathione S-transferases (GST) gene family in sugar beet (Beta vulgaris subsp. vulgaris). A total of 35 GST genes were identified in sugar beet that were divided into 10 classes of which tau (19) and phi (4) were the most abundant. Sub-cellular localization analysis revealed that most of the identified beet GST proteins were localized in the cytoplasm. Gene duplication analysis revealed that purifying type selection and tandem duplication were majorly responsible for expansion of the gene family. Multiple sequence alignment showed that serine and cysteine catalytic residues were highly conserved in beet GSTs. The present study identified 26 cis-acting regulatory elements which were responsible for responses against different types of stresses and plant development. The evolutionary relationship of beet GST proteins showed that the tau and phi class GSTs were closely associated with those of other plants. This comprehensive study of GST gene family in sugar beet provides firm base for functional analysis of beet GST genes at molecular level along with potential applications in genetic improvement of the crop.

Abstract Image

基于芯片的甜菜(Beta vulgaris subsp.)
本研究旨在对甜菜(Beta vulgaris subsp. vulgaris)中的谷胱甘肽 S-转移酶(GST)基因家族进行大规模全基因组鉴定和表征。在甜菜中总共鉴定出 35 个 GST 基因,分为 10 类,其中 tau(19 个)和 phi(4 个)的含量最高。亚细胞定位分析表明,大多数已鉴定的甜菜 GST 蛋白定位在细胞质中。基因重复分析表明,纯化型选择和串联重复是基因家族扩大的主要原因。多重序列比对显示,丝氨酸和半胱氨酸催化残基在甜菜 GST 中高度保守。本研究确定了 26 个顺式作用调控元件,它们负责对不同类型的胁迫和植物发育做出反应。甜菜 GST 蛋白的进化关系表明,tau 和 phi 类 GST 与其他植物的 GST 蛋白密切相关。这项对甜菜 GST 基因家族的全面研究为甜菜 GST 基因在分子水平上的功能分析以及在作物遗传改良中的潜在应用提供了坚实的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Sugar Tech
Sugar Tech AGRONOMY-
CiteScore
3.90
自引率
21.10%
发文量
145
期刊介绍: The journal Sugar Tech is planned with every aim and objectives to provide a high-profile and updated research publications, comments and reviews on the most innovative, original and rigorous development in agriculture technologies for better crop improvement and production of sugar crops (sugarcane, sugar beet, sweet sorghum, Stevia, palm sugar, etc), sugar processing, bioethanol production, bioenergy, value addition and by-products. Inter-disciplinary studies of fundamental problems on the subjects are also given high priority. Thus, in addition to its full length and short papers on original research, the journal also covers regular feature articles, reviews, comments, scientific correspondence, etc.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信