Non-target Site Herbicide Resistance Is Conferred by Two Distinct Mechanisms in Black-Grass (Alopecurus myosuroides).
Non-target Site Herbicide Resistance Is Conferred by Two Distinct Mechanisms in Black-Grass (Alopecurus myosuroides).
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大穗看麦娘非靶位点除草剂抗性的两种不同机制
DOI：
10.3389/fpls.2021.636652
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发表时间：
2021
影响因子：
5.6
通讯作者：
Edwards R
中科院分区：
文献类型：
--
作者：
Franco-Ortega S;Goldberg-Cavalleri A;Walker A;Brazier-Hicks M;Onkokesung N;Edwards R
黑草（Alopecurus myosuroides）对除草剂的非靶点抗性（NTSR）导致对多种化学品的耐受性增强，并且在北欧广泛存在。为了帮助确定抗性的基础机制，全球转录组和生化分析已被用于对三个 NTSR 黑草种群进行表型分析。其中包括来自经典 Peldon 田间种群的 NTSR1 黑草，它们对芽后除草剂表现出广泛的抗性； NTSR2 源自对二甲戊灵耐受的除草剂敏感 (HS) 植物，经过反复选择；和NTSR3，选自HS植物，对精恶唑禾草灵具有抗性。杂草中的 NTSR 通常与谷胱甘肽转移酶 (GST) 和细胞色素 P450 (CYP) 催化的除草剂代谢增强有关。因此，对 NTSR 群体的绿麦隆解毒能力进行了评估，绿麦隆由 CYP 解毒，精恶唑禾草灵由 GST 作用。与 HS 植物相比，NTSR1 和 NTSR2 群体对两种除草剂的代谢增强。相比之下，NTSR3植物没有表现出解毒能力增加，这表明该群体的抗性并不是由于新陈代谢增强所致。所有抗性群体均表现出 AmGSTF1 水平升高，AmGSTF1 是一种与 NTSR 功能相关的蛋白质，并增强除草剂代谢。增强的 AmGSTF1 与 NTSR1 和 NTSR2 植物中相关转录物水平的增加有关，但在 NTSR3 中则不然，这表明转录前和转录后调节均存在。对相关的 HS、NTSR2 和 NTSR3 植物进行全局转录组测序和加权基因共表达网络分析，以鉴定具有耦合调节功能的基因模块。在 NTSR2 植物中，鉴定出与解毒相关的模块，与 NTSR1 黑草的转录组有许多相似之处。关键的解毒基因包括 CYP81A 家族的成员以及 tau 和 phi 类 GST。 NTSR2 转录组还显示出与植物的其他（a）生物胁迫和人类的多药耐药性的网络相似性。相比之下，NTSR3植物中激活了完全不同的基因网络，显示出与谷物中测定的对寒冷、渗透压休克和真菌感染的反应相似。我们的结果表明，黑草中的 NTSR 可能由至少两种不同的机制引起，每种机制都涉及基因调控网络的复杂变化。
Non-target site resistance (NTSR) to herbicides in black-grass (Alopecurus myosuroides) results in enhanced tolerance to multiple chemistries and is widespread in Northern Europe. To help define the underpinning mechanisms of resistance, global transcriptome and biochemical analysis have been used to phenotype three NTSR black-grass populations. These comprised NTSR1 black-grass from the classic Peldon field population, which shows broad-ranging resistance to post-emergence herbicides; NTSR2 derived from herbicide-sensitive (HS) plants repeatedly selected for tolerance to pendimethalin; and NTSR3 selected from HS plants for resistance to fenoxaprop-P-ethyl. NTSR in weeds is commonly associated with enhanced herbicide metabolism catalyzed by glutathione transferases (GSTs) and cytochromes P450 (CYPs). As such, the NTSR populations were assessed for their ability to detoxify chlorotoluron, which is detoxified by CYPs and fenoxaprop-P-ethyl, which is acted on by GSTs. As compared with HS plants, enhanced metabolism toward both herbicides was determined in the NTSR1 and NTSR2 populations. In contrast, the NTSR3 plants showed no increased detoxification capacity, demonstrating that resistance in this population was not due to enhanced metabolism. All resistant populations showed increased levels of AmGSTF1, a protein functionally linked to NTSR and enhanced herbicide metabolism. Enhanced AmGSTF1 was associated with increased levels of the associated transcripts in the NTSR1 and NTSR2 plants, but not in NTSR3, suggestive of both pre- and post-transcriptional regulation. The related HS, NTSR2, and NTSR3 plants were subject to global transcriptome sequencing and weighted gene co-expression network analysis to identify modules of genes with coupled regulatory functions. In the NTSR2 plants, modules linked to detoxification were identified, with many similarities to the transcriptome of NTSR1 black-grass. Critical detoxification genes included members of the CYP81A family and tau and phi class GSTs. The NTSR2 transcriptome also showed network similarities to other (a)biotic stresses of plants and multidrug resistance in humans. In contrast, completely different gene networks were activated in the NTSR3 plants, showing similarity to the responses to cold, osmotic shock and fungal infection determined in cereals. Our results demonstrate that NTSR in black-grass can arise from at least two distinct mechanisms, each involving complex changes in gene regulatory networks.
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影响因子：
13.8
作者：
Evans AF Jr;O'Brien SR;Ma R;Hager AG;Riggins CW;Lambert KN;Riechers DE
通讯作者：
Riechers DE
影响因子：
2.5
作者：
Ahmad-Hamdani, M. S.;Yu, Qin;Powles, Stephen B.
通讯作者：
Powles, Stephen B.
影响因子：
13.8
作者：
Cummins, Ian;Bryant, David N.;Edwards, Robert
通讯作者：
Edwards, Robert
DOI：
10.1093/bioinformatics/btp348
发表时间：
2009-08-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Capella-Gutiérrez S;Silla-Martínez JM;Gabaldón T
通讯作者：
Gabaldón T
影响因子：
7.4
作者：
Iwakami, Satoshi;Endo, Masaki;Inamura, Tatsuya
通讯作者：
Inamura, Tatsuya