Literature DB >> 25231965

Mining tissue-specific contigs from peanut (Arachis hypogaea L.) for promoter cloning by deep transcriptome sequencing.

Lili Geng1, Xiaohong Duan1, Chun Liang2, Changlong Shu1, Fuping Song1, Jie Zhang3.   

Abstract

Peanut (Arachis hypogaea L.), one of the most important oil legumes in the world, is heavily damaged by white grubs. Tissue-specific promoters are needed to incorporate insect resistance genes into peanut by genetic transformation to control the subterranean pests. Transcriptome sequencing is the most effective way to analyze differential gene expression in this non-model species and contribute to promoter cloning. The transcriptomes of the roots, seeds and leaves of peanut were sequenced using Illumina technology. A simple digital expression profile was established based on number of transcripts per million clean tags (TPM) from different tissues. Subsequently, 584 root-specific candidate transcript assembly contigs (TACs) and 316 seed-specific candidate TACs were identified. Among these candidate TACs, 55.3% were root-specific and 64.6% were seed-specific by semi-quantitative RT-PCR analysis. Moreover, the consistency of semi-quantitative RT-PCR with the simple digital expression profile was correlated with the length and TPM value of TACs. The results of gene ontology showed that some root-specific TACs are involved in stress resistance and respond to auxin stimulus, whereas, seed-specific candidate TACs are involved in embryo development, lipid storage and long-chain fatty acid biosynthesis. One root-specific promoter was cloned and characterized. We developed a high-yield screening system in peanut by establishing a simple digital expression profile based on Illumina sequencing. The feasible and rapid method presented by this study can be used for other non-model crops to explore tissue-specific or spatially specific promoters.
© The Author 2014. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Arachis hypogaea; Digital gene expression profile; Root-specific transcript assembly contigs; Seed-specific transcript assembly contigs; Tissue-specific promoters

Mesh:

Year:  2014        PMID: 25231965     DOI: 10.1093/pcp/pcu111

Source DB:  PubMed          Journal:  Plant Cell Physiol        ISSN: 0032-0781            Impact factor:   4.927


  6 in total

1.  Transcriptome Sequencing of Lima Bean (Phaseolus lunatus) to Identify Putative Positive Selection in Phaseolus and Legumes.

Authors:  Fengqi Li; Depan Cao; Yang Liu; Ting Yang; Guirong Wang
Journal:  Int J Mol Sci       Date:  2015-07-03       Impact factor: 5.923

2.  Comparative transcript profiling of resistant and susceptible peanut post-harvest seeds in response to aflatoxin production by Aspergillus flavus.

Authors:  Houmiao Wang; Yong Lei; Liyun Wan; Liying Yan; Jianwei Lv; Xiaofeng Dai; Xiaoping Ren; Wei Guo; Huifang Jiang; Boshou Liao
Journal:  BMC Plant Biol       Date:  2016-02-27       Impact factor: 4.215

3.  Genome-wide mining seed-specific candidate genes from peanut for promoter cloning.

Authors:  Cuiling Yuan; Quanxi Sun; Yingzhen Kong
Journal:  PLoS One       Date:  2019-03-28       Impact factor: 3.240

4.  Identification of Flower-Specific Promoters through Comparative Transcriptome Analysis in Brassica napus.

Authors:  Yan Li; Caihua Dong; Ming Hu; Zetao Bai; Chaobo Tong; Rong Zuo; Yueying Liu; Xiaohui Cheng; Mingxing Cheng; Junyan Huang; Shengyi Liu
Journal:  Int J Mol Sci       Date:  2019-11-26       Impact factor: 5.923

5.  Strength, Stability, and cis-Motifs of In silico Identified Phloem-Specific Promoters in Brassica juncea (L.).

Authors:  Murali Krishna Koramutla; Deepa Bhatt; Manisha Negi; Perumal Venkatachalam; Pradeep K Jain; Ramcharan Bhattacharya
Journal:  Front Plant Sci       Date:  2016-04-18       Impact factor: 5.753

6.  Enhanced Expression of Pullulanase in Bacillus subtilis by New Strong Promoters Mined From Transcriptome Data, Both Alone and in Combination.

Authors:  Fanqiang Meng; Xiaoyu Zhu; Ting Nie; Fengxia Lu; Xiaomei Bie; Yingjian Lu; Frances Trouth; Zhaoxin Lu
Journal:  Front Microbiol       Date:  2018-11-02       Impact factor: 5.640

  6 in total

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