Nontarget site-based resistance to nicosulfuron and identification of candidate genes in Cucumis melo L. var. agrestis Naud. via RNA-Seq transcriptome analysis

黄瓜 生物 人口 乙酰乳酸合酶 基因 遗传学 转录组 RNA序列 基因表达 植物 人口学 社会学
作者
Hongle Xu,Jingping Cheng,Qiuli Leng,Shaoqi Liang,Lanlan Sun,Wangcang Su,Fei Xue,Renhai Wu
出处
期刊:Pesticide Biochemistry and Physiology [Elsevier BV]
卷期号:202: 105912-105912 被引量:2
标识
DOI:10.1016/j.pestbp.2024.105912
摘要

Herbicide resistance is a worldwide concern for weed control. Cucumis melo L. var. agrestis Naud. (C. melo) is an annual trailing vine weed that is commonly controlled by nicosulfuron, acetolactate synthase (ALS)-inhibiting herbicides. However, long-term use of this herbicide has led to the emergence of resistance and several nicosulfuron resistant populations of C. melo have been found. Here we identified a resistant (R) C. melo population exhibiting 7.31-fold resistance to nicosulfuron compared with a reference sensitive (S) population. ALS gene sequencing of the target site revealed no amino acid substitution in R plants, and no difference in enzyme activity, as shown by ALS activity assays in vitro. ALS gene expression was not significantly different before and after the application of nicosulfuron. Pretreatment with the cytochrome P450 monooxygenase (P450) inhibitor malathion reduced nicosulfuron resistance in the R population. RNA-Seq transcriptome analysis was used to identify candidate genes that may confer metabolic resistance to nicosulfuron. We selected genes with annotations related to detoxification functions. A total of 20 candidate genes (7 P450 genes, 1 glutathione S-transferase (GST) gene, 2 ATP-binding cassette (ABC) transporters, and 10 glycosyltransferase (GT)) were identified; 12 of them (7 P450s, 1 GST, 2 ABC transporters, and 2 GTs) were demonstrated significantly differential expression between R and S by quantitative real-time RT-PCR (qRT–PCR). Our findings revealed that the resistance mechanism in C. melo was nontarget-site based. Our results also provide a valuable resource for studying the molecular mechanisms of weed resistance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
wanci应助科研通管家采纳,获得10
刚刚
传奇3应助科研通管家采纳,获得10
刚刚
深情安青应助科研通管家采纳,获得30
刚刚
CipherSage应助科研通管家采纳,获得10
刚刚
领导范儿应助科研通管家采纳,获得10
刚刚
852应助科研通管家采纳,获得30
刚刚
刚刚
刚刚
jenningseastera应助吴新政采纳,获得30
刚刚
刚刚
刚刚
糖糖糖feng源完成签到,获得积分10
1秒前
2秒前
仔仔大叔发布了新的文献求助20
2秒前
乐乐应助踏实青槐采纳,获得10
5秒前
饱满的大碗完成签到 ,获得积分10
5秒前
bob完成签到 ,获得积分10
9秒前
分成发布了新的文献求助10
9秒前
华仔应助可恶啊采纳,获得10
9秒前
科研通AI5应助zzz采纳,获得10
10秒前
11秒前
Lucas应助称心如意采纳,获得10
11秒前
蒋依伶发布了新的文献求助10
13秒前
倪倪完成签到,获得积分20
15秒前
15秒前
LIANG完成签到,获得积分20
17秒前
17秒前
ydz完成签到,获得积分10
19秒前
19秒前
脑洞疼应助guozizi采纳,获得10
20秒前
橙子发布了新的文献求助30
20秒前
李键刚发布了新的文献求助20
20秒前
Zyan发布了新的文献求助10
21秒前
21秒前
分成完成签到,获得积分10
21秒前
科研通AI5应助柯南风采纳,获得10
21秒前
文艺代灵发布了新的文献求助10
22秒前
蒋依伶完成签到,获得积分20
22秒前
24秒前
25秒前
高分求助中
Worked Bone, Antler, Ivory, and Keratinous Materials 1000
Mass producing individuality 600
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
Limes XXIII Sonderband 4 / II Proceedings of the 23rd International Congress of Roman Frontier Studies Ingolstadt 2015 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3829234
求助须知:如何正确求助?哪些是违规求助? 3371936
关于积分的说明 10469766
捐赠科研通 3091535
什么是DOI,文献DOI怎么找? 1701173
邀请新用户注册赠送积分活动 818199
科研通“疑难数据库(出版商)”最低求助积分说明 770765