Comprehensive analysis of putative dihydroflavonol 4-reductase gene family in tea plant

基因 生物 山茶 遗传学 功能(生物学) 编码区 计算生物学 生物化学 植物
作者
Xin Mei,Caibi Zhou,Wenting Zhang,Dylan O’Neill Rothenberg,Shihua Wan,Lingyun Zhang
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:14 (12): e0227225-e0227225 被引量:5
标识
DOI:10.1371/journal.pone.0227225
摘要

One identified dihydroflavonol 4-reductases (DFR) encoding gene (named as CsDFRa herein) and five putative DFRs (named as CsDFRb1, CsDFRb2, CsDFRb3, CsDFRc and CsDFRd) in tea (Camellia sinensis) have been widely discussed in recent papers concerning multi-omics data. However, except for CsDFRa, their function and biochemical characteristics are not clear. This study aims to compare all putative CsDFRs and preliminarily evaluate their function. We investigated the sequences of genes (coding and promoter regions) and predicted structures of proteins encoded, and determined the activities of heterologously expressed CsDFRs under various conditions. The results showed that the sequences of five putative CsDFRs were quite different from CsDFRa, and had lower expression levels as well. The five putative CsDFRs could not catalyze three dihydroflavonol substrates. The functional CsDFRa had the strongest affinity with dihydroquercetin, and performed best at pH around 7 and 35°C but was not stable at lower pHs or higher temperatures. Single amino acid mutation at position 141 modified the preference of CsDFRa for dihydroquercetin and dihydromyricetin, and also weakened its stability. These data suggest that only CsDFRa works in the pathway for generating anthocyanidins and catechins. This study provides new insights into the function of CsDFRs and may assist to develop new strategies to manipulate the composition of tea flavonoids in the future.

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
benlaron完成签到,获得积分10
2秒前
星辰大海应助东方傲儿采纳,获得10
4秒前
丘比特应助梁寒采纳,获得10
7秒前
dahafei发布了新的文献求助50
7秒前
zydong完成签到,获得积分10
8秒前
调皮的巧凡完成签到,获得积分10
8秒前
尼卡完成签到 ,获得积分10
9秒前
10秒前
11秒前
深情安青应助ym采纳,获得10
11秒前
chihopiaodu250完成签到,获得积分10
11秒前
香菜完成签到,获得积分10
13秒前
小蘑菇应助xiong采纳,获得10
13秒前
鳗鱼涵梅发布了新的文献求助10
14秒前
风趣问兰关注了科研通微信公众号
15秒前
15秒前
爆米花应助ne采纳,获得10
17秒前
李子谦完成签到 ,获得积分10
17秒前
Aqk9发布了新的文献求助10
19秒前
21秒前
21秒前
hwq完成签到,获得积分20
21秒前
海大小朱完成签到,获得积分20
22秒前
24秒前
26秒前
26秒前
风趣问兰发布了新的文献求助10
27秒前
Yaon-Xu发布了新的文献求助10
28秒前
30秒前
31秒前
hwq发布了新的文献求助10
32秒前
Aqk9完成签到,获得积分10
32秒前
Elcric发布了新的文献求助10
32秒前
34秒前
SciGPT应助Aqk9采纳,获得10
35秒前
朱大头发布了新的文献求助10
37秒前
37秒前
小树完成签到,获得积分10
38秒前
yolo完成签到 ,获得积分10
38秒前
Akim应助pitaya采纳,获得10
39秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea de guyane 2500
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Driving under the influence: Epidemiology, etiology, prevention, policy, and treatment 500
生活在欺瞒的年代:傅树介政治斗争回忆录 260
Functional Analysis 200
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5872602
求助须知:如何正确求助?哪些是违规求助? 6490870
关于积分的说明 15669578
捐赠科研通 4989963
什么是DOI,文献DOI怎么找? 2690095
邀请新用户注册赠送积分活动 1632616
关于科研通互助平台的介绍 1590486