Research Report

Identification of Tomato CRT Gene Family and Response Analysis under Different Stress Conditions  

Zhibo Cai , Aoxue Wang
College of Life Sciences, Northeast Agricultural University, Harbin, 150030
Author    Correspondence author
Plant Gene and Trait, 2020, Vol. 11, No. 9   
Received: 29 Jun., 2020    Accepted: 02 Jul., 2020    Published: 02 Jul., 2020
© 2020 BioPublisher Publishing Platform
This article was first published in Molecular Plant Breeding in Chinese, and here was authorized to translate and publish the paper in English under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

In order to explore the information of the tomato CRT gene family members and the response analysis under different stresses conditions, We refer to acid sequence of CRT gene family of Arabidopsis thaliana and we find 3 CRT genes of tomato by tBLASTn. The amino acid length of tomato CRT genes are between 413 aa and 433 aa, The molecular weight are between 47.6 kD and 50.9 kD. We construct the phylogenetic tree and we find the tomato CRT gene family could be clustered into two subgroups. CRT3 and CRT4 belong to a subgroup. Subcellular localization analysis indicated that CRT genes were mainly located on cell nucleus and endoplasmic reticulum. Gene structure analysis analysis indicated that CRT genes of tomato were exon-rich group. Picked up 2 000 bp sequences upstream the 5' end of the full- length c DNAs for CRT genes of tomato to identify putative stress- responsive cis- elements. We found that CRT genes of tomato maybe response to multiple adversity stress and can interact with multiple proteins. Real- time PCR results indicated that the expression levels of CRT genes of tomato in different tissue parts were different and CRT genes of tomato can response to multiple adversity stress. The research offered foundation for biology function of CRT family.

Keywords
Solanaceae; CRTs Gene; Bioinformatics analysis; Adversity stress

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