苯磺隆胁迫下甘蓝型油菜萌发期关联性状的QTL定位及候选基因筛选

doi:10.3864/j.issn.0578-1752.2020.08.002

Abstract

Abstract:

【Objective】The QTLs and tolerance genes related to the germination characters of rape seeds under the stress of tribenuron-methyl were studied, which laid the foundation for screening and cultivating the germplasm of tribenuron-methyl resistant rape and exploring the molecular mechanism of tribenuron-methyl tolerance during the germination of rape seeds.【Method】A high generation RIL population consisted of 175 lines, which were constructed from the synthetic Brassica napus 10D130 and the conventional variety Brassica napus ZS11, was treated with 0.15 mg·kg ^-1 tribenuron-methyl solution for seed germination test and the control was under the distilled water. The phenotypic data that including relative germination vigor (RGV), relative germination rate (RGR), relative root length (RRL) and relative dry weight (RDW) were analyzed by Excel software. Then, the RIL population was genotyped with 6K SNP chip, and the high-density genetic linkage map was constructed by JoinMap4.0 software. Based on the genetic map, the relative values of four characters were mapped by using Multiple QTL mapping method of MapQTL software. And the genes sequence of Brassica napus were searched according to the confidence interval of each QTL, next, blast with Arabidopsis genome sequence in turn and select the candidate genes that may be related to the tolerance to tribenuron-methyl stress.【Result】The frequency distribution of each traits for RIL population's was continuous with the large variation range, which were consistent with the characteristics of quantitative characters, so it were suitable for the detection of QTL. Correlation analysis showed that there was a significant positive correlation between RGR and RGV, and the correlation coefficient was 0.587. In addition, the constructed genetic map contained 1 897 polymorphic SNP markers covering 3 214.19 cM of the genome of Brassica napus with an average map distance of 1.69 cM. By this map, 22 QTLs related to 4 phenotypic traits were detected and the phenotypic contribution rate was between 6.4% and 12.6%. Among them, there were 6 and 3 QTLs related to RGV and RGR, 8 and 5 QTLs related to RRL and RDW, respectively. Also, the confidence intervals of QTLs for RGV and RGR were found to overlap completely or partially at 64.857 cM, 55.935 cM and 56.645 cM of chromosome A01. Through sequence alignment, 30 candidate genes were screened, including 18 cytochrome P450 family members, 5 glycosyltransferase family genes, 1 GSTF related gene, 1 ABC transporter related gene and 1 ALS gene, all of which were detoxified by accelerating metabolism, and related to the mechanism of herbicide resistance, especially ALS is the target enzyme of sulfonylurea herbicide. Furthermore, others genes were screened, including 1 BHLH gene and 1 JAZ6 gene which could interact to protect against stress; and 1 LSU2 protein gene which was involved in the detoxification of cell oxidants and plant defense response; and 1 MATE family member which was involved in the transport of flavonoids, alkaloids, metal ions, other metabolites and plant stress response caused by toxic substances.【Conclusion】22 QTLs that significantly associated with tribenuron-methyl tolerance related traits and 30 candidate genes for the tolerance to tribenuron-methyl were found. These genes are involved in the stress response caused by toxic substances by accelerating the transport and metabolism of toxic molecules, which may be related to the resistance regulation and response mechanism of plants to tribenuron-methyl.

Key words: tribenuron-methyl, Brassica napus L., germination, QTL, candidate genes

WANG LiuYan,WANG RuiLi,YE Sang,GAO HuanHuan,LEI Wei,CHEN LiuYi,WU JiaYi,MENG LiJiao,YUAN Fang,TANG ZhangLin,LI JiaNa,ZHOU QingYuan,CUI Cui. QTL Mapping and Candidate Genes Screening of Related Traits in Brassica napus L. During the Germination Under Tribenuron-Methyl Stress[J].Scientia Agricultura Sinica, 2020, 53(8): 1510-1523.

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URL: https://www.chinaagrisci.com/EN/10.3864/j.issn.0578-1752.2020.08.002

https://www.chinaagrisci.com/EN/Y2020/V53/I8/1510

Figures/Tables 8

Table 1

Table 2

Table 3

Fig. 1

Table 4

Table 5

QTLs for 4 related traits from F2:7 population of oilseed"

性状 Trait	位点 Loci	左标记 Left marker	右标记 Right marker	染色体 Chr.	位置 Position (cM)	阈值 LOD	贡献率 Expl. (%)	置信区间 Confidence interval (cM)
相对发芽势 RGV	qRGVC02-1	/	AX-86224097	C02	0.000	3.04	7.7	0.000—0.468
	qRGVC03-1	AX-95665263	AX-177835191	C03	68.724	2.88	7.3	67.838—69.724
	qRGVC07-1	AX-177830550	AX-95503939	C07	79.903	2.82	7.1	72.776—80.784
	qRGVA01-1	AX-95656842	AX-182125504	A01	55.935	2.61	6.6	54.426—56.645
	qRGVA01-2	AX-182153395	AX-182155384	A01	64.857	2.65	6.7	62.861—67.428
	qRGVA06-1	AX-95501842	AX-177829720	A06	106.205	2.62	6.7	105.840—108.202
相对发芽率 RGR	qRGRA01-1	AX-95509232	AX-177830916	A01	56.645	4.31	10.7	55.935—57.420
	qRGRA01-2	AX-182153395	AX-182155384	A01	64.857	2.95	7.5	62.861—67.428
	qRGRA03-1	AX-95508795	AX-95509572	A03	127.616	2.82	7.2	125.682—129.203
相对根长 RRL	qRRLA04-1	AX-182176371	AX-95505772	A04	94.698	4.51	11.2	88.608—97.938
	qRRLA04-2	AX-95507645	AX-177833715	A04	113.308	5.12	12.6	108.264—114.008
	qRRLA04-3	AX-177827854	AX-95503983	A04	132.285	2.89	7.3	130.443—134.464
	qRRLA06-1	AX-95664740	AX-95506250	A06	98.667	3.46	8.7	97.389—101.050
	qRRLA06-2	AX-105306485	AX-95664864	A06	113.134	3.35	8.4	112.441—113.682
	qRRLA06-3	AX-95656835	AX-105307005	A06	124.073	4.01	10.0	123.077—130.636
	qRRLA09-1	AX-105307894	AX-177910950	A09	284.516	3.06	7.7	283.174—285.872
	qRRLC01-1	AX-105335237	AX-105335655	C01	45.715	2.51	6.4	42.779—47.043
相对干重 RDW	qRDWA03-1	AX-95663919	AX-95638137	A03	98.052	2.98	7.5	97.681—99.234
	qRDWA04-1	AX-95662645	AX-182137198	A04	17.105	3.2	8.1	12.178—19.860
	qRDWA04-2	AX-179307304	AX-95664963	A04	39.299	2.93	7.4	38.667—41.328
	qRDWA02-1	AX-179307763	AX-177832049	A02	125.116	2.65	6.7	121.653—129.830
	qRDWC03-1	AX-105338724	AX-105308542	C03	187.649	2.52	6.4	185.306—188.940

Table 5

Fig. 2

Table 6

A summary of candidate genes associated with tribenuron-methyl related traits"

性状 Trait	位点 Loci	染色体 Chr.	物理区间 Physical interval (bp)	候选基因 Candidate gene	拟南芥基因 Arabidopsis gene	基因 Gene	描述 Description
相对发芽势 RGV	qRGVC07-1	C07	33957781—34814007	BnaC07g29830D	AT5G24660	LSU2	细胞氧化剂解毒;对防御反应调控 Cellular oxidant detoxification; Regulation of defense response
相对发芽势 RGV	qRGVA01-1	A01	6196365—6753945	BnaA01g12870D	AT4G23030	/	MATE家族蛋白 MATE efflux family protein
相对发芽率 RGR	qRGRA01-1	A01	6196365—6753945	BnaA01g12870D	AT4G23030	/	MATE家族蛋白 MATE efflux family protein
相对发芽率 RGR	qRGRA03-1	A03	14987907—15498700	BnaA03g31340D	AT3G10670	ABCI6	参与生物发生或修复氧化破坏的Fe-S簇 Involved in the biogenesis or repair of oxidatively damaged Fe-S clusters.
相对根长 RRL	qRRLA04-1	A04	14446411—15117001	BnaA04g19030D	AT2G32740	GT13	半乳糖基转移酶13 Galactosyltransferase 13
				BnaA04g17910D	AT2G30860	GSTF9	编码GST phi类谷胱甘肽转移酶 Encodes glutathione transferase belonging to the phi class of GSTs
				BnaA04g18440D	AT2G31790	UGT	UDP-糖基转移酶超家族蛋白 UDP-Glycosyltransferase superfamily protein
	qRRLA04-2	A04	15913314—16484458	BnaA04g21090D	AT2G36760	UGT73C2	UDP-葡萄糖基转移酶73C2 UDP-glucosyl transferase 73C2
	qRRLA04-3	A04	17814614—17923085	BnaA04g24370D	AT2G42250	CYP712A1	CYP712A的成员 Member of CYP712A
	qRRLA06-1	A06	21396095—21528844	BnaA06g31960D	AT4G39510	CYP96A12	CYP96A的成员 Member of CYP96A
				BnaA06g32050D	AT4G27710	CYP709B3	CYP709B的成员 Member of CYP709B
	qRRLA06-2	A06	21528844—22092492	BnaA06g32370D	AT3G25180	CYP82G1	编码细胞色素P450单加氧酶 Encodes a cytochrome P450 monooxygenase
				BnaA06g32970D	AT3G26290	CYP71B26	细胞色素P450成员 Putative cytochrome P450
				BnaA06g32980D	AT2G02580	CYP71B9	CYP71B的成员 Member of CYP71B
				BnaA06g32990D	AT3G26300	CYP71B34	细胞色P450 Putative cytochrome P450
				BnaA06g33000D	AT3G48560	ALS	催化乙酰乳酸的形成;被磺酰脲类除草剂抑制等 Catalyzing the formation of acetolactate; Inhibited by the sulphonylurea herbicide. etc
				BnaA06g33010D	AT3G26220	CYP71B3	细胞色素P450单加氧酶 Cytochrome P450 monooxygenase
				BnaA06g33020D	AT3G26210	CYP71B23	细胞色素P450成员 Putative cytochrome P450
				BnaA06g33030D	AT3G26200	CYP71B22	细胞色素P450成员 Putative cytochrome P450
				BnaA06g33040D	AT3G26190	CYP71B21	细胞色素P450成员 Putative cytochrome P450
				BnaA06g33060D	AT3G26170	CYP71B19	细胞色素P450成员 Putative cytochrome P450
				BnaA06g33050D	AT3G26180	CYP71B20	细胞色素P450成员 Putative cytochrome P450
				BnaA06g33070D	AT3G26165	CYP71B18	细胞色素P450成员 Putative cytochrome P450.
	qRRLC01-1	C01	3631449—3936101	BnaC01g06930D	AT1G13080	CYP71B2	细胞色素P450单加氧酶 Cytochrome P450 monooxygenase
相对干重 RDW	qRDWA02-1	A02	8524524—9460659	BnaA02g15990D	AT1G72450	JAZ6	调节防御反应及茉莉酸介导的信号传导途径Regulation of defense response and jasmonic acid mediated signaling pathway
相对干重 RDW				BnaA03g22720D	AT1G72210	BHLH96	BHLH DNA结合超家族蛋白 BHLH DNA-binding superfamily protein
				BnaA02g15580D	AT2G46960	CYP709B1	CYP709B的成员 Member of CYP709B
	qRDWA03-2	A03	10805287—12106754	BnaA03g22720D	AT2G26480	UGT76D1	UDP-葡萄糖基转移酶76D1 UDP-glucosyl transferase 76D1
				BnaA03g25050D	AT4G12320	CYP706A6	CYP706A的成员 Member of CYP706A
	qRDWA04-1	A04	1637957—2461363	BnaA04g03050D	AT3G57220	GT	糖基转移酶家族蛋白 Glycosyl transferase family 4 protein
	qRDWC03-1	C03	47920601—48510329	BnaC03g59160D	AT2G25160	CYP82F1	细胞色素P450成员 Cytochrome P450, family 82, subfamily F,

Table 6

References 57

[1]	GREEN J M . Current state of herbicides in herbicide-resistant crops. Pest Management Science, 2014,70(9):1351-1357.
[2]	DONG B, QIAN W, HU J . Dissipation kinetics and residues of florasulam and tribenuron-methyl in wheat ecosystem. Chemosphere, 2015,120:486-491.
[3]	MAZUR B J, FALCO S C . The development of herbicide resistant crops. Annual Review of Plant Biology, 1989,40(1):441-470.
[4]	YU C Y, DONG J G, HU S W, XU AI X . Exposure to trace amounts of sulfonylurea herbicide tribenuron-methyl causes male sterility in 17 species or subspecies of cruciferous plants. BMC Plant Biology, 2017,17(1):95-11.
[5]	YU C, HU S, HE P, SUN G, ZHANG C, YU Y . Inducing male sterility in Brassica napus L. by a sulphonylurea herbicide, tribenuron-methyl. Plant Breeding, 2006,125(1):61-64.
[6]	周清元, 王倩, 叶桑, 崔明圣, 雷维, 郜欢欢, 赵愉风, 徐新福, 唐章林, 李加纳, 崔翠 . 苯磺隆胁迫下油菜萌发期相关性状的全基因组关联分析. 中国农业科学, 2019,52(3):399-413.
	ZHOU Q Y, WANG Q, YE S, CUI M S, LEI W, GAO H H, ZHAO Y F, XU X F, TANG Z L, LI J N, CUI C . Genome-wide association analysis of tribenuron-methyl tolerance related traits in Brassica napus L. under germination. Scientia Agricultura Sinica, 2019,52(3):399-413. (in Chinese)
[7]	孙妍妍, 曲高平, 黄谦心, 吕金洋, 郭媛, 胡胜武 . 甘蓝型油菜抗苯磺隆突变体ALS基因分析与SNP标记. 中国油料作物学报, 2015,37(5):589-595.
	SUN Y Y, QU G P, HUANG Q X, LÜ J Y, GUO Y, HU S W . SNP markers for acetolactate synthase genes from tribenuron-methyl resistant mutants in Brassica napus L. Chinese Journal of Oil Crop Sciences, 2015,37(5):589-595. (in Chinese)
[8]	杜慧平, 杜慧玲 . 苯磺隆在土壤中的消解动态和残留测定. 山西农业科学, 2015(1):50-53.
	DU H P, DU H L . Tribenuron-methly degradation dynamics and residual in soil. Journal of Shanxi Agricultural Sciences, 2015(1):50-53. (in Chinese)
[9]	NGUYEN T C, ABRAMS S R, FRIEDT W, SNOWDON R J . Quantitative trait locus analysis of seed germination, seedling vigour and seedling-regulated hormones in Brassica napus. Plant Breeding, 2018,137(3):388-401.
[10]	YU X, YANG A, JAMES A T . Selecting soybeans for sulfonylurea herbicide tolerance: A comparative proteomic study of seed germinations. Crop and Pasture Science, 2017,68(1):27-32.
[11]	王倩, 崔翠, 叶桑, 崔明圣, 赵愉风, 林呐, 唐章林, 李加纳, 周清元 . 甘蓝型油菜种子萌发期耐苯磺隆种质筛选与综合评价. 作物学报, 2018,44(8):1169-1184.
	WANG Q, CUI C, YE S, CUI M S, ZHAO Y F, LIN N, TANG Z L, LI J N, ZHOU Q Y . Screening and comprehensive evaluation of germplasm resources with tribenuron-methyl tolerance at germination stage in rapeseed ( Brassica napus L.). Acta Agronomica Sinica, 2018,44(8):1169-1184. (in Chinese)
[12]	李慧慧, 张鲁燕, 王建康 . 数量性状基因定位研究中若干常见问题的分析与解答. 作物学报, 2010,36(6):918-931.
	LI H H, ZHANG L Y, WANG J K . Analysis and answers to frequently asked questions in quantitative trait locus mapping. Acta Agronomica Sinica, 2010,36(6):918-931. (in Chinese)
[13]	LI Z, MEI S, MEI Z, LIU X, FU T, ZHOU G, TU J . Mapping of QTL associated with waterlogging tolerance and drought resistance during the seedling stage in oilseed rape ( Brassica napus). Euphytica, 2014,197(3):341-353.
[14]	BASNET R K, DUWAL A, TIWARI D N, XIAO D, MONAKHOS S, BUCHER J, MALIEPAARD C . Quantitative trait locus analysis of seed germination and seedling vigor in Brassica rapa reveals QTL hotspots and epistatic interactions. Frontiers in Plant Science, 2015,6:1032.
[15]	LANG L, XU A, DING J, ZHANG Y, ZHAO N, TIAN Z, LIU Y, WANG Y, LIU X, LIANG F H, ZHANG B B, QIN M F, DALELHAN J, HUANG Z . Quantitative trait locus mapping of salt tolerance and identification of salt-tolerant genes in Brassica napus L. Frontiers in Plant Science, 2017,8:1000.
[16]	荐红举, 肖阳, 李加纳, 马珍珍, 魏丽娟, 刘列钊 . 利用SNP遗传图谱定位盐、旱胁迫下甘蓝型油菜种子发芽率的QTL. 作物学报, 2014,40(4):629-635.
	JIAN H J, XIAO Y, LI J N, MA Z Z, WEI L J, LIU L Z . QTL Mapping for germination percentage under salinity and drought stresses in Brassica napus L. using a SNP genetic map. Acta Agronomica Sinica, 2014,40(4):629-635. (in Chinese)
[17]	GUAN Q, ZHANG Y X, XU X L, SUN D Q, LI S Y, LIN H, PAN L Y, MA Y H . Development of DNA molecular marker and several new types of molecular markers. Heilongjiang Agricultural Sciences, 2008,1:102-104.
[18]	LIU C, SUKUMARAN S, CLAVERIE E, SANSALONI C, DREISIGACKER S, REYNOLDS M . Genetic dissection of heat and drought stress QTLs in phenology-controlled synthetic-derived recombinant inbred lines in spring wheat. Molecular Breeding, 2019,39(3):34.
[19]	刘列钊, 李加纳 . 利用甘蓝型油菜高密度SNP遗传图谱定位油酸、亚麻酸及芥酸含量QTL位点. 中国农业科学, 2014,47(1):24-32.
	LIU L Z, LI J N . QTL Mapping of oleic acid, linolenic acid and erucic acid content in Brassica napus by using the high density SNP genetic map. Scientia Agricultura Sinica, 2014,47(1):24-32. (in Chinese)
[20]	侯林涛, 王腾岳, 荐红举, 王嘉, 李加纳, 刘列钊 . 甘蓝型油菜盐胁迫下幼苗鲜重和干重 QTL 定位及候选基因分析. 作物学报, 2017,43(2):179-189.
	HOU L T, WANG T Y, JIAN H J, WANG J, LI J N, LIU L Z . QTL Mapping for seedling dry weight and fresh weight under salt stress and candidate genes analysis in Brassica napus L. Acta Agronomica Sinica, 2017,43(2):179-189. (in Chinese)
[21]	LIU W, BAI S, ZHAO N, JIA S, LI W, ZHANG L, WANG J . Non-target site-based resistance to tribenuron-methyl and essential involved genes in Myosoton aquaticum(L.). BMC Plant Biology, 2018,18(1):225.
[22]	吴学莉, 易丽聪, 侯凡, 吴江生, 姚璇, 刘克德 . 表达播娘蒿突变基因DsALS-108的抗苯磺隆甘蓝型油菜植株构建. 农业生物技术学报, 2016,24(4):469-477.
	WU X L, YI L C, HOU F, WU J S, YAO X, LIU K D . Generation of tribenuron-methyl herbicide resistant rapeseed( Brasscia napus) plants expressing mutated gene Ds ALS-108 of flixweed (Descurainia sophia). Journal of Agricultural Biotechnology, 2016,24(4):469-477. (in Chinese)
[23]	胡茂龙, 浦惠明, 高建芹, 龙卫华, 戚存扣, 张洁夫, 陈松 . 油菜乙酰乳酸合成酶抑制剂类除草剂抗性突变体M9的遗传和基因克隆. 中国农业科学, 2012,45(20):4326-4334.
	HU M L, PU H M, GAO J Q, LONG W H, QI C K, ZHANG J F, CHEN S . Inheritance and gene cloning of an ALS inhabiting herbicide resistant mutant line M9 in Brassica napus. Scientia Agricultura Sinica, 2012,45(20):4326-4334. (in Chinese)
[24]	周清元 . 甘蓝型油菜新种质资源创建及其株型性状遗传分析[D]. 重庆: 西南大学, 2013.
	ZHOU Q Y . Study on germplasm creation of Brassica napus and genetic analysis of plant-type characters[D]. Chongqing: Southwest University, 2013. (in Chinese)
[25]	郜欢欢, 叶桑, 王倩, 王刘艳, 王瑞莉, 陈柳依, 唐章林, 李加纳, 周清元, 崔翠 . 甘蓝型油菜种子萌发期耐铝毒特性综合评价及其种质筛选. 作物学报, 2019,45(9):1416-1430.
	GAO H H, YE S, WANG Q, WANG L Y, WANG R L, CHEN L Y, TANG Z L, LI J N, ZHOU Q Y, CUI C . Screening and comprehensive evaluation of aluminum-toxicity tolerance during seed germination in Brassca napus. Acta Agronomica Sinica, 2019,45(9):1416-1430. (in Chinese)
[26]	KOSAMBI D D . The estimation of map distances from recombination values. Annals of Eugenics, 1944,12:172-175.
[27]	任义英, 崔翠, 王倩, 唐章林, 徐新福, 林呐, 殷家明, 李加纳, 周清元 . 油菜主花序角果密度及其相关性状的全基因组关联分析. 中国农业科学, 2018,51(6):1020-1033.
	REN Y Y, CUI C, WANG Q, TANG Z L, XU X F, LIN N, YIN J M, LI J N, ZHOU Q Y . Genome-wide association analysis of silique density on racemes and its component traits in Brassica napus L. Scientia Agricultura Sinica, 2018,51(6):1020-1033. (in Chinese)
[28]	阎志红, 刘文革, 赵胜杰, 何楠, 王俊良 . NaCl 胁迫对不同西瓜种质资源发芽的影响. 植物遗传资源学报, 2006(2):220-225.
	YAN Z H, LIU W G, ZHAO S J, HE N, WANG J L . Effect of NaCl stress on germination of different watermelon varieties. Journal of Plant Genetic Resources, 2006(2):220-225. (in Chinese)
[29]	唐建明, 王勇, 方雅琴 . 油菜田常用除草剂药害及规避措施. 杂草科学, 2010(1):64-66.
	TANG J M, WANG Y, FANG Y Q . Herbicide phytotoxicity and evasion measures in rape fields. Journal of Weeds, 2010(1):64-66. (in Chinese)
[30]	张宝娟, 赵惠贤, 胡胜武 . 苯磺隆对甘蓝型油菜中双 9 号的杀雄效果. 中国油料作物学报, 2010,32(4):467-471.
	ZHANG B J, ZHAO H X, HU S W . Male sterile-inducing ability of tribenuron-methyl to rapeseed cultivar Zhongshuang 9. Chinese Journal of Oil Crop Sciences, 2010,32(4):467-471. (in Chinese)
[31]	付三雄, 周晓婴, 戚存扣 . 苯磺隆对甘蓝型油菜的杀雄效果及对其靶标 ALS 活性的影响. 江西农业学报, 2019,31(2):8-12.
	FU S X, ZHOU X Y, QI C K . Male-sterile-inducing efficiency of tribenuron-methyl and its effect on activity of acetolactate synthase in Brassica napus. Acta Agriculturae Jiangxi, 2019,31(2):8-12. (in Chinese)
[32]	信晓阳, 曲高平, 张荣, 庞红喜, 吴强, 王发禄, 胡胜武 . 不同品种油菜对苯磺隆耐药性差异的鉴定. 西北农业学报, 2014,23(7):68-74.
	XIN X Y, QU G P, ZHANG R, PANG H X, WU Q, WANG F L, HU S W . Identification of the tribenuron-methyl tolerance in different rapeseed genotypes. Acta Agriculturae Boreali-Occidentalis Sinica, 2014,23(7):68-74. (in Chinese)
[33]	缪颖, 伍炳华 . 植物抗逆性的获得与信息传导. 植物生理学通讯, 2001(1):71-76.
	MIAO Y, WU B H . The acquirement of stress response characteristics and signal transduction in plants. Plant Physiology Communications, 2001(1):71-76. (in Chinese)
[34]	NIU Y, FIGUEROA P, BROWSE J . Characterization of JAZ- interacting bHLH transcription factors that regulate jasmonate responses in Arabidopsis. Journal of Experimental Botany, 2011,62(6):2143-2154.
[35]	吴平治, 李东屏 . 拟南芥中MATE基因家族的研究进展. 遗传, 2006,28(7):906-910.
	WU P Z, LI D P . Advances in the study of MATE gene family in Arabidopsis. Genetic, 2006,28(7):906-910. (in Chinese)
[36]	CHEN L, LIU Y, LIU H, KANG L, GENG J, GAI Y, LI Y . Identification and expression analysis of MATE genes involved in flavonoid transport in blueberry plants. PLoS ONE, 2015,10(3):e0118578.
[37]	SHITAN N, MINAMI S, MORITA M, HAYASHIDA M, ITO S, TAKANASHI K, OMOTE H, MORIYAMA Y, SUGIYAMA A, GOOSSENS A, MORIYASU M, YAZAKI K . Involvement of the Leaf-specific multidrug and toxic compound extrusion (MATE) transporter Nt-JAT2 in vacuolar sequestration of nicotine in Nicotiana tabacum. PLoS ONE, 2014,9(9):e108789.
[38]	HE X . Think positively: The structural basis of cation-binding and coupling of the multidrug and toxic-compound extrusion (MATE) transporter family. University of California, San Diego, 2010.
[39]	SHOJI T . ATP-binding cassette and multidrug and toxic compound extrusion transporters in plants: A common theme among diverse detoxification mechanisms. International Review of Cell & Molecular Biology, 2014,309:303.
[40]	LU P, MAGWANGA R O, GUO X, KIRUNGU J N, LU H, CAI X, PENG R . Genome-wide analysis of multidrug and toxic compound extrusion (MATE) family in Gossypium raimondii and Gossypium arboreum and its expression analysis under salt, cadmium, and drought stress. Genes, Genomes, Genetics, 2018,8(7):2483-2500.
[41]	WANG H, SEO J K, GAO S, CUI X, JIN H . Silencing of AtRAP, a target gene of a bacteria-induced small RNA, triggers antibacterial defense responses through activation of LSU2 and down-regulation of GLK1. New Phytologist, 2017,215(3):1144-1155.
[42]	LI M, YU Q, HAN H, VILA-AIUB M, POWLES S B . ALS herbicide resistance mutations in Raphanus raphanistrum: Evaluation of pleiotropic effects on vegetative growth and ALS activity. Pest Management Science, 2013,69(6):689-695.
[43]	XU X, LIU G, CHEN S, LI B, LIU X, WANG X, FAN C Q, WANG G Q, NI H . Mutation at residue 376 of ALS confers tribenuron-methyl resistance in flixweed ( Descurainia sophia) populations from Hebei province, China. Pesticide Biochemistry and Physiology, 2015,125:62-68.
[44]	HAN H, YU Q, PURBA E, LI M, WALSH M, FRIESEN S, POWLES S B . A novel amino acid substitution Ala-122-Tyr in ALS confers high-level and broad resistance across ALS-inhibiting herbicides. Pest Management Science, 2012,68(8):1164-1170.
[45]	SHIMIZU M, GOTO M, HANAI M, SHIMIZU T, IZAWA N, KANAMOTO H, TOMIZAWA K, YOKOTA A, KOBAYASHI H . Selectable tolerance to herbicides by mutated acetolactate synthase genes integrated into the chloroplast genome of tobacco. Plant Physiology, 2008,147(4):1976-1983.
[46]	SIMINSZKY B, CORBIN F T, WARD E R, FLEISCHMANN T J, DEWEY R E . Expression of a soybean cytochrome P450 monooxygenase cDNA in yeast and tobacco enhances the metabolism of phenylurea herbicides. Proceedings of the National Academy of Sciences of the USA, 1999,96(4):1750-1755.
[47]	BAI S, LIU W, WANG H, ZHAO N, JIA S, ZOU N, GUO W, WANG J . Enhanced herbicide metabolism and metabolic resistance genes identified in tribenuron-methyl resistant Myosoton aquaticum L. Journal of Agricultural and Food Chemistry, 2018,66(37):9850-9857.
[48]	YU Q, POWLES S . Metabolism-based herbicide resistance and cross-resistance in crop weeds: A threat to herbicide sustainability and global crop production. Plant Physiology, 2014,166(3):1106-1118.
[49]	IWAKAMI S, KAMIDATE Y, YAMAGUCHI T, ISHIZAKA M, ENDO M, SUDA H, NAGAI K, SUNOHARA Y, TOKI S, UCHINO A, TOMINAGA T . CYP 81A P450s are involved in concomitant cross-resistance to acetolactate synthase and acetyl-CoA carboxylase herbicides in Echinochloa phyllopogon. New Phytologist, 2019,221(4):2112-2122.
[50]	NARUSAKA M, SEKI M, UMEZAWA T, ISHIDA J, NAKAJIMA M, ENJU A, SHINOZAKI K . Crosstalk in the responses to abiotic and biotic stresses in Arabidopsis: Analysis of gene expression in cytochrome P450 gene superfamily by cDNA microarray. Plant Molecular Biology, 2004,55(3):327-342.
[51]	ZIMMERLIN A, DURST F . Aryl hydroxylation of the herbicide diclofop by a wheat cytochrome P450 monooxygenase: substrate specificity and physiological activity. Plant Physiology, 1992,100(2):874-881.
[52]	BAEK Y S, GOODRICH L V, BROWN P J, JAMES B T, MOOSE S P, LAMBERT K N, RIECHERS D E . Transcriptome profiling and genome-wide association studies reveal GSTs and other defense genes involved in multiple signaling pathways induced by herbicide safener in grain sorghum. Frontiers in Plant Science, 2019,10:192.
[53]	GAINES T A, LORENTZ L, FIGGE A, HERRMANN J, MAIWALD F, OTT M C, HAN H, BUSI R, YU Q, POWLES S B, BEFFA R . RNA-Seq transcriptome analysis to identify genes involved in metabolism-based diclofop resistance in Lolium rigidum. The Plant Journal, 2014,78(5):865-876.
[54]	CUMMINS I, WORTLEY D J, SABBADIN F, HE Z, COXON C R, STRAKER H E, SELLARS J D, KNIGHT K, EDWARDS L, HUGHES D, KAUNDUN S S, HUTCHINGS S J, STEEL P G, EDWARDS R . Key role for a glutathione transferase in multiple- herbicide resistance in grass weeds. Proceedings of the National Academy of Sciences of the USA, 2013,110(15):5812-5817.
[55]	OOSTERHUIS B, VUKMAN K, VÁGI E, GLAVINAS H, JABLONKAI I, KRAJCSI P . Specific interactions of chloroacetanilide herbicides with human ABC transporter proteins. Toxicology, 2008,248(1):45-51.
[56]	MENG J J, QIN Z W, ZHOU X Y, XIN M . An ATP-binding cassette transporter gene from Cucumis Sativus L., Csabc19, is involved in propamocarb stress in Arabidopsis thaliana. Plant molecular Biology Reporter, 2016,34(5):947-960.
[57]	MOREIRA L F, ZOMER S J, MARQUES S M . Modulation of the multixenobiotic resistance mechanism in Daniorerio hepatocyte culture (ZF-L) after exposure to glyphosate and Roundup®. Chemosphere, 2019,228:159-165.

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浓度Concentration (mg·kg^-1)	ZS11			10D130
浓度Concentration (mg·kg^-1)	均值 Mean (cm)	显著性检验 Significant (P<0.05)	降幅 Percentage reduction (%)	均值 Mean (cm)	显著性检验 Significant (P<0.05)	降幅 Percentage reduction (%)
CK	7.88	a	—	6.78	a	—
0.075	7.08	a	-10.15	5.71	a	-15.78
0.15	6.91	a	-12.31	4.16	b	-38.64
0.25	4.25	b	-46.07	2.12	c	-68.73
0.50	2.77	c	-64.85	0.86	c	-87.32

性状 Trait	亲本 Parent		F_2:7群体 F_2:7 populations
性状 Trait	ZS11	10D130	平均数±标准差Mean±SD	极差Range	变异系数CV (%)
相对发芽势RGV	1.00	0.97	0.98±0.18	1.33	18.7
相对发芽率RGR	1.00	0.97	1.00±0.14	1.04	13.5
相对根长RRL	0.88	0.61	0.53±0.19	0.92	36.0
相对干重RDW	0.99	0.87	0.98±0.15	1.89	15.1

性状 Trait	重复间差异性 Inter repetition difference			株系间差异性 Difference among strains
性状 Trait	自由度df	F	显著性Significant	自由度df	F	显著性Significant
相对发芽势RGV	2	0.597	0.551	174	3.356	3.8E^-22
相对发芽率RGR	2	1.136	0.322	174	3.707	1.2E^-25
相对根长RRL	2	0.009	0.991	174	36.920	2.5E^-157
相对干重RDW	2	0.766	0.466	174	3.175	2.5E^-20

性状 Trait	相对发芽势 RGV	相对发芽率 RGR	相对根长 RRL	相对干重 RDW
相对发芽势RGV	1
相对发芽率RGR	0.587**	1
相对根长RRL	-0.049	-0.110	1
相对干重RDW	-0.122	0.072	-0.107	1

QTL Mapping and Candidate Genes Screening of Related Traits in Brassica napus L. During the Germination Under Tribenuron-Methyl Stress

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