RNA-seq analysis of watermelon (Citrullus lanatus) to identify genes involved in fruit cracking
文献类型： 外文期刊
作者： Jiang, Haikun 1 ; Tian, Hongmei 2 ; Yan, Congsheng 2 ; Jia, Li 2 ; Wang, Yan 3 ; Wang, Mingxia; Jiang, Chang Jun 1 ; L 1 ;
作者机构： 1.Anhui Agr Univ, Coll Tea & Food Technol, State Key Lab Tea Plant Biol & Utilizat, Hefei 230036, Anhui, Peoples R China
2.Anhui Acad Agr Sci, Inst Hort, Key Lab Genet Improvement & Ecophysiol Hort Crop, Hefei 230031, Anhui, Peoples R China
3.Anhui Acad Agr Sci, Inst Hort, Key Lab Genet Improvement & Ecophysio
关键词： Citrullus lanatus; Watermelon; RNA-sequencing; Fruit cracking; Differentially expressed genes; Expression analysis
期刊名称：SCIENTIA HORTICULTURAE （ 影响因子：3.463； 五年影响因子：3.672 ）
ISSN： 0304-4238
年卷期： 2019 年 248 卷
页码：
收录情况： SCI
摘要： Fruit cracking in watermelon (Citrullus lanatus) causes a great economic loss. To understand the molecular mechanisms underlying watermelon fruit cracking, the differentially expressed genes (DEGs) between resistant and susceptible-cracking watermelon were analyzed using transcriptome sequencing. We selected the parent inbred W11 (resistant-cracking) and W13 (susceptible-cracking), and Near-Isogenic Lines W96 (resistant cracking) and W85 (susceptible-cracking) as materials. Differentially expressed genes (DEGs) analysis showed that 290 DEGs had detectable in "W11" VS "W13", while 165 DEGs had detectable in "W96" VS "W85". There were 56 DEGs between the four samples. Additionally, 14 DEGs related to fruit cracking were identified from the transcriptome. Only 8 DEGs among them, were involved in 14 KEGG pathway. The expression patterns of the 14 DEGs related to fruit cracking were analyzed by qRT-PCR to explore their putative functions. This transcriptome dataset will aid in understanding and carrying out future studies on the molecular basis of fruit cracking and contribute to watermelon breeding..
- 相关文献
作者其他论文 更多>>
-
Effects of wheat intercropping on growth and occurrence of Fusarium wilt in watermelon
作者：Lv, HuiFang;Yan, CongSheng;Lv, HuiFang
关键词：Agricultural Wheat; Watermelon; Fusarium wilt; Photosynthesis; Antioxidant enzyme; Soil enzyme; Soil microbes
-
Priming Watermelon Resistance by Activating Physiological Response and Defense Gene Expression to Alleviate Fusarium Wilt in Wheat-Watermelon Intercropping
作者：Lv, Huifang;Lv, Huifang;Lu, Junyang;Huang, Yuan;Bie, Zhilong;Lv, Huifang;Wang, Mingxia;Yan, Congsheng
关键词：wheat intercropping; watermelon; root exudates; Fusarium wilt; defensive enzyme; gene expression
-
Postharvest chilling diminishes melon flavor via effects on volatile acetate ester biosynthesis
作者：Zhang, Huijun;Zhu, Xiuxiu;Xu, Runzhe;Yuan, Yushu;Abugu, Modesta N.;Yan, Congsheng;Tieman, Denise;Li, Xiang
关键词：melon; chilling; fruit flavor; volatile acetate esters; transcriptome; alcohol acyltransferase
-
Genomic Survey and Expression Analysis of GLKs in Watermelon (Citrullus lanatus)
作者：Ding, Qiangqiang;Jia, Li;Jiang, Xiangting;Wang, Mingxia;Wang, Yan;Jiang, Haikun;Yu, Feifei;Yan, Congsheng;Ding, Qiangqiang;Jia, Li;Jiang, Xiangting;Wang, Mingxia;Wang, Yan;Jiang, Haikun;Yu, Feifei;Yan, Congsheng
关键词：watermelon; GLKs; bioinformatics analysis; expression profiles
-
Genome-Wide Identification of GASA Gene Family in Ten Cucurbitaceae Species and Expression Analysis in Cucumber
作者：Zhang, Kaijing;Hu, Yuchao;Yang, Dekun;Yan, Congsheng;Jia, Li;Yan, Congsheng;Jia, Li;Li, Nanyang;Li, Ziang;Wang, Xing;Njogu, Martin Kagiki
关键词：abiotic stress; bioinformatics; biotic stress; cucumber; expression analysis; GASA gene family
-
Genome-Wide Identification and Expression Analysis of Eggplant DIR Gene Family in Response to Biotic and Abiotic Stresses
作者：Zhang, Kaijing;Xing, Wujun;Sheng, Suao;Yang, Dekun;Zhen, Fengxian;Jiang, Haikun;Yan, Congsheng;Jia, Li;Jiang, Haikun;Yan, Congsheng;Jia, Li
关键词：eggplant; DIR; gene family; bioinformatics; expression analysis
-
Identifying candidate genes involved in trichome formation on carrot stems by transcriptome profiling and resequencing
作者：Wu, Zhe;Yang, Xuan;Zhao, Yu-xuan;Jia, Li
关键词：carrot; trichome; resequencing; transcriptome; candidate genes
