您好,欢迎访问贵州省农业科学院 机构知识库!

QTL Mapping by SLAF-seq and Expression Analysis of Candidate Genes for Aphid Resistance in Cucumber

文献类型: 外文期刊

作者: Liang, Danna 1 ; Chen, Minyang 1 ; Qi, Xiaohua 1 ; Xu, Qiang 1 ; Zhou, Fucai 1 ; Chen, Xuehao 1 ;

作者机构: 1.Yangzhou Univ, Sch Hort & Plant Protect, Yangzhou 225009, Jiangsu, Peoples R China

2.Guizhou Acad Agr Sci, Sericulture Chili Pepper Res Inst, Guiyang, Peoples R China

关键词: cucumber;aphid resistance;SLAF-seq;QTL;candidate genes

期刊名称:FRONTIERS IN PLANT SCIENCE ( 影响因子:5.753; 五年影响因子:6.612 )

ISSN: 1664-462X

年卷期: 2016 年 7 卷

页码:

收录情况: SCI

摘要: Cucumber, a very important vegetable crop worldwide, is easily damaged by pests. Aphid is one of the most serious cucumber pests and frequently cause severe damage to commercially produced crops. Understanding the genetic mechanisms underlying pest resistance is important for aphid-resistant cucumber varieties breeding. In this study, two parental cucumber lines, JY30 (aphid susceptible) and EP6392 (aphid resistant), and pools of resistant and susceptible (n = 50 each) plants from 1000 F2 individuals derived from crossing JY30 with EP6392, were used to detect genomic regions associated with aphid resistance in cucumbers. The analysis was performed using specific length amplified fragment sequencing (SLAF-seq), bulked segregant analysis (BSA), and single nucleotide polymorphism index (SNP-index) methods. A main effect QTL (quantitative trait locus) of 0.31 Mb on Chr5, including 43 genes, was identified by association analysis. Sixteen of the 43 genes were identified as potentially associated with aphid resistance through gene annotation analysis. The effect of aphid infestation on the expression of these candidate genes screened by SLAF-seq was investigated in EP6392 plants by qRT-PCR. The results indicated that seven genes including encoding transcription factor MYB59-like (Csa5M641610.1), auxin transport protein BIG-like (Csa5M642140.1), F-box/kelch-repeat protein At5g15710-like (Csa5M642160.1), transcription factor HBP-1a-like (Csa5M642710.1), beta-glucan-binding protein (Csa5M643380.1), endo-1,3(4)-beta-glucanase 1-like (Csa5M643880.1), and proline-rich receptor-like protein kinase PERK10-like (Csa5M643900.1), out of the 16 genes were down regulated after aphid infestation, whereas 5 genes including encoding probable leucine-rich repeat (LRR) receptor-like serine/threonine-protein kinase At5g15730-like (Csa5M642150.1), Stress-induced protein KIN2 (Csa5M643240.1 and Csa5M643260.1), F-box family protein (Csa5M643280.1), F-box/kelch-repeat protein (Csa5M643290.1), were up-regulated after aphid infestation. The gene Csa5M642150.1, encoding probable LRR receptor-like serine/threonine-protein kinase At5g15730-like, was most likely a key candidate gene in cucumber plants in response to infestation. This study provides a certain theoretical basis of molecular biology for genetic improvement of cucumber aphid resistance and aphid resistant variety breeding.

  • 相关文献

[1]Genome-Wide Association and Transcriptome Analyses Reveal Candidate Genes Underlying Yield-determining Traits in Brassica napus. Lu, Kun,Peng, Liu,Zhang, Chao,Lu, Junhua,Yang, Bo,Xiao, Zhongchun,Liang, Ying,Xu, Xingfu,Qu, Cunmin,Zhang, Kai,Liu, Liezhao,Li, Jiana,Peng, Liu,Zhang, Chao,Zhu, Qinlong,Fu, Minglian,Yuan, Xiaoyan. 2017

[2]向日葵体细胞胚的QTL分析及标记辅助选择. 黄先群,Fabre F,Saraffi A,刘竹梓,Genzbitelle L. 2013

[3]六棱大麦抗赤霉病QTL的定位(英文). 张立异,陈天青,MARCHAND S,BELZILE F,张爱民. 2015

[4]稻米垩白性状的QTL分析. 张大双,黄培英,彭强,张上都,王际凤,王成招,朱速松. 2013

[5]水稻穗长和有效穗数的QTL定位分析. 刘颖,叶生鑫,彭强,张大双,吴健强,王际凤,黄培英,朱速松. 2016

[6]氮胁迫与非胁迫条件下玉米叶形相关性状的QTL分析. 郭向阳,陈建军,卫晓轶,吴迅,祝云芳,王安贵,刘鹏飞,汤继华,陈泽辉,罗红兵. 2019

[7]不同环境基于高密度遗传图谱的稻米外观品质QTL定位. 彭强,李佳丽,张大双,姜雪,邓茹月,吴健强,朱速松. 2018

[8]甘蓝型油菜叶片花青素及叶绿素含量的QTL定位. 代文东,铁拿优,玛丽亚,张超,唐容,王少铭,杨斌,王璐璐,饶勇,黄泽素. 2021

[9]分子标记在花生遗传图谱及QTL定位中的研究进展. 成良强,王军,黄莉,吕建伟,任小平. 2016

[10]基于全基因组关联分析挖掘甘蓝型油菜油酸含量QTL与SNP分子标记. 李敏,方正,陈俊锟,梁龙兵,向阳. 2024

[11]基于GBS测序和连锁分析的藜麦单株粒重QTL定位. 吴文强,代越琪,陈天青,隋建枢,罗永露,王伟,何庆才. 2023

[12]3种不同环境水稻糙米粒重QTL定位研究. 彭强,李祖军,徐海峰,朱速松. 2023

[13]基于SLAF_seq的重组自交系群体定位水稻抽穗期QTLs. 姜雪,龙武华,彭强,张习春,刘雪薇,张大双,宫彦龙,张玉珊,朱速松. 2018

[14]玉米开花期相关性状的QTL定位与候选基因分析. 郭爽,王栋,聂蕾,何玥,涂亮,刘鹏飞,郭向阳,王安贵,祝云芳,吴迅,陈泽辉. 2023

[15]基于Super-GBS技术的高粱籽粒酿造相关性状QTL定位. 丁延庆,徐建霞,汪灿,周棱波,张国兵,赵强,邵明波,张立异. 2023

[16]玉米株型相关性状的QTL定位与候选基因分析. 奉杰,刘鹏飞,涂亮,高媛,郭向阳,王安贵,祝云芳,吴迅,陈泽辉. 2023

[17]基于高密度SNP标记对玉米穗部相关性状的QTL定位及候选基因分析. 赵强,陈柔屹,王安贵,郭向阳,刘鹏飞,祝云芳,吴迅,陈泽辉. 2021

[18]基于F2∶3家系的玉米籽粒相关性状QTL定位与候选基因分析. 何玥,聂蕾,郭爽,王栋,涂亮,刘鹏飞,郭向阳,王安贵,祝云芳,吴迅,陈泽辉. 2024

[19]不同水分条件下水稻苗期根系性状的QTL分析. 冯跃,王会民,陈艳丽,吴伟明,占小登,沈希宏,戴高兴,杨占烈,曹立勇,程式华. 2012

[20]玉米籽粒相关性状的QTL定位与候选基因分析. 奉杰,刘鹏飞,涂亮,高媛,郭向阳,王安贵,祝云芳,吴迅,陈泽辉. 2023

作者其他论文 更多>>