A comparative transcriptomics and eQTL approach identifies SlWD40 as a tomato fruit ripening regulator

成熟 生物 转录组 基因 遗传学 调节器 龙葵 RNA干扰 基因表达 植物 核糖核酸
作者
Feng Zhu,Sagar Sudam Jadhav,Takayuki Tohge,Mohamed A. Salem,Je Min Li,James Giovannoni,Yunjiang Cheng,Saleh Alseekh,Alisdair R. Fernie
出处
期刊:Plant Physiology [Oxford University Press]
卷期号:190 (1): 250-266 被引量:7
标识
DOI:10.1093/plphys/kiac200
摘要

Although multiple vital genes with strong effects on the tomato (Solanum lycopersicum) ripening process have been identified via the positional cloning of ripening mutants and cloning of ripening-related transcription factors (TFs), recent studies suggest that it is unlikely that we have fully characterized the gene regulatory networks underpinning this process. Here, combining comparative transcriptomics and expression QTLs, we identified 16 candidate genes involved in tomato fruit ripening and validated them through virus-induced gene silencing analysis. To further confirm the accuracy of the approach, one potential ripening regulator, SlWD40 (WD-40 repeats), was chosen for in-depth analysis. Co-expression network analysis indicated that master regulators such as RIN (ripening inhibitor) and NOR (nonripening) as well as vital TFs including FUL1 (FRUITFUL1), SlNAC4 (NAM, ATAF1,2, and CUC2 4), and AP2a (Activating enhancer binding Protein 2 alpha) strongly co-expressed with SlWD40. Furthermore, SlWD40 overexpression and RNAi lines exhibited substantially accelerated and delayed ripening phenotypes compared with the wild type, respectively. Moreover, transcriptome analysis of these transgenics revealed that expression patterns of ethylene biosynthesis genes, phytoene synthase, pectate lyase, and branched chain amino transferase 2, in SlWD40-RNAi lines were similar to those of rin and nor fruits, which further demonstrated that SlWD40 may act as an important ripening regulator in conjunction with RIN and NOR. These results are discussed in the context of current models of ripening and in terms of the use of comparative genomics and transcriptomics as an effective route for isolating causal genes underlying differences in genotypes.
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