Weighted gene co-expression analysis for identification of key genes regulating heat stress in wheat
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ORIGINAL PAPER
Weighted gene co‑expression analysis for identification of key genes regulating heat stress in wheat Dwijesh Chandra Mishra1 · Devender Arora1 · Ranjeet Ranjan Kumar2 · Suneha Goswami2 · Shivangi Varshney1 · Neeraj Budhlakoti1 · Sanjeev Kumar1 · Krishna Kumar Chaturvedi1 · Anu Sharma1 · Viswanathan Chinnusamy2 · Anil Rai1 Received: 14 April 2020 / Accepted: 17 August 2020 © Akadémiai Kiadó Zrt. 2020
Abstract Wheat is an important cereal crop, which holds the second rank globally in terms of production after maize. However, its productivity is highly sensitive to heat stress, which is one of the most serious threats due to global warming. Therefore, development of heat tolerance variety of wheat through molecular breeding approach is an urgent need of the hour for not only reducing productivity loss but also improving crop yield for feeding growing population. In this context, identification of heat-related genes is the first step for this molecular breeding. In this regard, several studies have been conducted in the past, but due to identification of large number of genes, it was found to be practically difficult to use these in molecular breeding programs. In order to address this issue, in this study, system biology approach has been followed to identify set of key genes related to heat stress in wheat which contributes significantly to regulating this entire process. Here, highthroughput RNAseq data were generated using control and treated samples of two contrasting wheat varieties, namely HD2967 (thermo-tolerant) and BT-Schomburgk (thermo-susceptible). Further, in order to identify important key genes, an advanced statistical framework called weighted gene co-expression network analysis (WGCNA) has been used. Moreover, functional annotation of these identified key genes has also been carried out, which confirms their association with the heat stress. These results will provide important lead to experimenters involved in the development of new heat-stress-tolerant wheat cultivars to mitigate effects of global warming. Keywords Co-expression analysis · Global warming · Heat stress · Transcriptome · Gene regulatory network · Key genes Communicated by S. Gottwald. Electronic supplementary material The online version of this article (https://doi.org/10.1007/s42976-020-00072-7) contains supplementary material, which is available to authorized users. * Krishna Kumar Chaturvedi [email protected]
Sanjeev Kumar [email protected]
Dwijesh Chandra Mishra [email protected]
Anu Sharma [email protected]
Devender Arora [email protected]
Viswanathan Chinnusamy [email protected]
Ranjeet Ranjan Kumar [email protected]
Anil Rai [email protected]
Suneha Goswami [email protected]
1
Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India
2
ICAR-Indian Agricultural Research Institute, New Delhi, India
Shivangi Varshney [email protected] Neeraj Budhlakoti [email protected]
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