Multi-omics atlas of combinatorial abiotic stress responses in wheat

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creativework.keywords - en
wheat
abiotic stress
environmental stress
metabolome
physiological traits
transcription factors
soft wheat
creativework.keywords - fr
blé
facteurs de transcription
blé tendre
traits physiologiques
métabolome
stress environnementeaux
stress abiotiques
dc.contributor.author
Da Ros, Laetitia
Bollina, Venkatesh
Soolanayakanahally, Raju
Pahari, Shankar
Elferjani, Raed
Kulkarni, Manoj
Vaid, Neha
Risseuw, Eddy
Cram, Dustin
Pasha, Asher
Esteban, Eddi
Konkin, David
Provart, Nicholas
Nambara, Eiji
Kagale, Sateesh
dc.date.accepted
2023-05-26
dc.date.accessioned
2024-07-10T13:07:44Z
dc.date.available
2024-07-10T13:07:44Z
dc.date.issued
2023-05-29
dc.date.submitted
2022-05-01
dc.description.abstract - en
Field-grown crops rarely experience growth conditions in which yield can be maximized. Environmental stresses occur in combination, with advancements in crop tolerance further complicated by its polygenic nature. Strategic targeting of causal genes is required to meet future crop production needs. Here, we employed a systems biology approach in wheat (Triticum aestivum L.) to investigate physio-metabolic adjustments and transcriptome reprogramming involved in acclimations to heat, drought, salinity and all combinations therein. A significant shift in magnitude and complexity of plant response was evident across stress scenarios based on the agronomic losses, increased proline concentrations and 8.7-fold increase in unique differentially expressed transcripts (DETs) observed under the triple stress condition. Transcriptome data from all stress treatments were assembled into an online, open access eFP browser for visualizing gene expression during abiotic stress. Weighted gene co-expression network analysis revealed 152 hub genes of which 32% contained the ethylene-responsive element binding factor-associated amphiphilic repression (EAR) transcriptional repression motif. Cross-referencing against the 31 DETs common to all stress treatments isolated TaWRKY33 as a leading candidate for greater plant tolerance to combinatorial stresses. Integration of our findings with available literature on gene functional characterization allowed us to further suggest flexible gene combinations for future adaptive gene stacking in wheat. Our approach demonstrates the strength of robust multi-omics-based data resources for gene discovery in complex environmental conditions. Accessibility of such datasets will promote cross-validation of candidate genes across studies and aid in accelerating causal gene validation for crop resiliency.
dc.identifier.citation
Da Ros, L., Bollina, V., Soolanayakanahally, R., Pahari, S., Elferjani, R., Kulkarni, M., Vaid, N., Risseuw, E., Cram, D., Pasher, A., Estaban, E., Konkin, D., Provart, N., Nambara, E., & Kagale, S. (2023.) Multi-omics atlas of combinatorial abiotic stress responses in wheat. The Plant Journal, 116(4), 1118-1135. https://doi.org/10.1111/tpj.16332
dc.identifier.doi
https://doi.org/10.1111/tpj.16332
dc.identifier.issn
1365-313X
0960-7412
dc.identifier.uri
https://open-science.canada.ca/handle/123456789/2674
dc.language.iso
en
dc.publisher
Society for Experimental Biology, John Wiley & Sons, Ltd.
dc.rights - en
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
dc.rights - fr
Creative Commons Attribution-Pas d’Utilisation Commerciale 4.0 International (CC BY-NC 4.0)
dc.rights.uri - en
https://creativecommons.org/licenses/by-nc/4.0/
dc.rights.uri - fr
https://creativecommons.org/licenses/by-nc/4.0/deed.fr
dc.subject - en
Agriculture
dc.subject - fr
Agriculture
dc.subject.en - en
Agriculture
dc.subject.fr - fr
Agriculture
dc.title - en
Multi-omics atlas of combinatorial abiotic stress responses in wheat
dc.type - en
Article
dc.type - fr
Article
local.article.journalissue
4
local.article.journaltitle
The Plant Journal
local.article.journalvolume
116
local.pagination
1118-1135
local.peerreview - en
Yes
local.peerreview - fr
Oui
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