Literature DB >> 28365131

Evolutionary Transcriptomics and Proteomics: Insight into Plant Adaptation.

Claudia Voelckel1, Nicole Gruenheit2, Peter Lockhart3.   

Abstract

Comparative transcriptomics and proteomics (T&P) have brought biological insight into development, gene function, and physiological stress responses. However, RNA-seq and high-throughput proteomics remain underutilised in studies of plant adaptation. These methodologies have created discovery tools with the potential to significantly advance our understanding of adaptive diversification. We outline experimental recommendations for their application. We discuss analysis models and approaches that accelerate the identification of adaptive gene sets and integrate transcriptome, proteome, phenotypic, and environmental data. Finally, we encourage widespread uptake and future developments in T&P that will advance our understanding of evolution and adaptation.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  RNA-seq; adaptive diversification; ecology; evolution; gene expression modelling; shotgun proteomics

Mesh:

Substances:

Year:  2017        PMID: 28365131     DOI: 10.1016/j.tplants.2017.03.001

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  15 in total

1.  Complementary iTRAQ-based proteomic and RNA sequencing-based transcriptomic analyses reveal a complex network regulating pomegranate (Punica granatum L.) fruit peel colour.

Authors:  Xiang Luo; Da Cao; Haoxian Li; Diguang Zhao; Hui Xue; Juan Niu; Lina Chen; Fuhong Zhang; Shangyin Cao
Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

Review 2.  Metabolomics: a systems biology approach for enhancing heat stress tolerance in plants.

Authors:  Ali Raza
Journal:  Plant Cell Rep       Date:  2020-11-29       Impact factor: 4.570

3.  Omics approaches in Allium research: Progress and way ahead.

Authors:  Kiran Khandagale; Ram Krishna; Praveen Roylawar; Avinash B Ade; Ashwini Benke; Bharat Shinde; Major Singh; Suresh J Gawande; Ashutosh Rai
Journal:  PeerJ       Date:  2020-09-09       Impact factor: 2.984

4.  iTRAQ-based quantitative proteomic analysis reveals dynamic changes during daylily flower senescence.

Authors:  Guangying Ma; Xiaohua Shi; Qingcheng Zou; Danqing Tian; Xia An; Kaiyuan Zhu
Journal:  Planta       Date:  2018-06-26       Impact factor: 4.116

Review 5.  Plant multiscale networks: charting plant connectivity by multi-level analysis and imaging techniques.

Authors:  Xi Zhang; Yi Man; Xiaohong Zhuang; Jinbo Shen; Yi Zhang; Yaning Cui; Meng Yu; Jingjing Xing; Guangchao Wang; Na Lian; Zijian Hu; Lingyu Ma; Weiwei Shen; Shunyao Yang; Huimin Xu; Jiahui Bian; Yanping Jing; Xiaojuan Li; Ruili Li; Tonglin Mao; Yuling Jiao; Haiyun Ren; Jinxing Lin
Journal:  Sci China Life Sci       Date:  2021-03-12       Impact factor: 6.038

6.  Coexpression network revealing the plasticity and robustness of population transcriptome during the initial stage of domesticating energy crop Miscanthus lutarioriparius.

Authors:  Shilai Xing; Chengcheng Tao; Zhihong Song; Wei Liu; Juan Yan; Lifang Kang; Cong Lin; Tao Sang
Journal:  Plant Mol Biol       Date:  2018-07-13       Impact factor: 4.076

Review 7.  Conservation insights from wild bee genetic studies: Geographic differences, susceptibility to inbreeding, and signs of local adaptation.

Authors:  Evan P Kelemen; Sandra M Rehan
Journal:  Evol Appl       Date:  2021-03-25       Impact factor: 5.183

8.  Comparative transcriptomics of an arctic foundation species, tussock cottongrass (Eriophorum vaginatum), during an extreme heat event.

Authors:  Jonathon E Mohl; Ned Fetcher; Elizabeth Stunz; Jianwu Tang; Michael L Moody
Journal:  Sci Rep       Date:  2020-06-02       Impact factor: 4.379

9.  Differential genetic responses to the stress revealed the mutation-order adaptive divergence between two sympatric ginger species.

Authors:  Bing-Hong Huang; Yuan-Chien Lin; Chih-Wei Huang; Hsin-Pei Lu; Min-Xin Luo; Pei-Chun Liao
Journal:  BMC Genomics       Date:  2018-09-21       Impact factor: 3.969

10.  Natural Variation in Physiological Responses of Tunisian Hedysarum carnosum Under Iron Deficiency.

Authors:  Heithem Ben Abdallah; Hans Jörg Mai; Tarek Slatni; Claudia Fink-Straube; Chedly Abdelly; Petra Bauer
Journal:  Front Plant Sci       Date:  2018-10-02       Impact factor: 5.753

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.