Plausible association between drought stress tolerance of barley (Hordeum vulgare L.) and programmed cell death via MC1 and TSN1 genes

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Shamloo-Dashtpagerdi, RoohollahDepartment of Agriculture and Natural Resources, Higher Education Center of Eghlid, Eghlid, Iran (author)

Plausible association between drought stress tolerance of barley (Hordeum vulgare L.) and programmed cell death via MC1 and TSN1 genes

Article/chapterEnglish2020

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2020-04-13
John Wiley & Sons,2020
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LIBRIS-ID:oai:DiVA.org:his-18411
https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18411URI
https://doi.org/10.1111/ppl.13102DOI

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Language:English
Summary in:English

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Subject category:art swepub-publicationtype

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Studying the drought-responsive transcriptome is of high interest as it can serve as a blueprint for stress adaptation strategies. Despite extensive studies in this area, there are still many details to be uncovered, such as the importance of each gene involved in the stress response as well as the relationship between these genes and the physiochemical processes governing stress tolerance. This study was designed to address such important details and to gain insights into molecular responses of barley (Hordeum vulgare L.) to drought stress. To that, we combined RNA-seq data analysis with field and greenhouse drought experiments in a systems biology approach. RNA-sequence analysis identified a total of 665 differentially expressed genes (DEGs) belonging to diverse functional categories. A gene network was derived from the DEGs, which comprised of a total of 131 nodes and 257 edges. Gene network topology analysis highlighted two programmed cell death (PCD) modulating genes, MC1 (metacaspase 1) and TSN1 (Tudor-SN 1), as important (hub) genes in the predicted network. Based on the field trial, a drought-tolerant and a drought-susceptible barley genotype was identified from eight tested cultivars. Identified genotypes exhibited different physiochemical characteristics, including proline content, chlorophyll concentration, percentage of electrolyte leakage and malondialdehyde content as well as expression profiles of MC1 and TSN1 genes. Machine learning and correspondence analysis revealed a significant relationship between drought tolerance and measured characteristics in the context of PCD. Our study provides new insights which bridge barley drought tolerance to PCD through MC1 and TSN1 pathway.

Subject headings and genre

NATURVETENSKAP Biologi Genetik hsv//swe
NATURAL SCIENCES Biological Sciences Genetics hsv//eng
Bioinformatik
Bioinformatics

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Lindlöf, AngelicaHögskolan i Skövde,Institutionen för biovetenskap,Forskningsmiljön Systembiologi,Translationell bioinformatik, Translational Bioinformatics(Swepub:his)ling (author)
Aliakbari, MassumeDepartment of Crop Production and Plant Breeding, Shiraz University, Shiraz, Iran (author)
Pirasteh-Anosheh, HadiNational Salinity Research Center, Agricultural Research, Education and Extension Organization, Yazd, Iran (author)
Department of Agriculture and Natural Resources, Higher Education Center of Eghlid, Eghlid, IranInstitutionen för biovetenskap (creator_code:org_t)

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In:Physiologia Plantarum: John Wiley & Sons170:1, s. 46-590031-93171399-3054

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