Physiological and transcriptional response to heat stress in heat-resistant and heat-sensitive maize ( Zea mays L.) inbr
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ORIGINAL ARTICLE
Physiological and transcriptional response to heat stress in heat-resistant and heat-sensitive maize (Zea mays L.) inbred lines at seedling stage De-Chuan Wu 1 & Jia-Fei Zhu 1 & Zhong-Ze Shu 1 & Wei Wang 1 & Cheng Yan 1 & Shan-Bin Xu 1 & De-Xiang Wu 1 & Cheng-Yu Wang 1 & Zhao-rong Dong 1 & Genlou Sun 2 Received: 2 May 2020 / Accepted: 24 July 2020 # Springer-Verlag GmbH Austria, part of Springer Nature 2020
Abstract To understand the molecular and physiological mechanism underlying the heat stress in maize, transcriptional and physiological response to heat stress in the heat-resistant Huangzaosi (HZS) and heat-sensitive Lv-9-Kuan (L9K) inbred lines at seedling stage were analyzed and compared at seedling stage. Our results indicated that MDA content of the two inbred lines increased significantly under heat stress; the values of MDA in L9K was significantly higher than that in HZS. The level of SOD, CAT, and POD enzyme activities in HZS was higher than those in L9K for both the heat-treated group and controls. The values of Fv/Fm, qP, and ФPSII reduced by heat stress in L9K were higher than the respective values in HZS. RNA-seq data showed that heat stress induced more heat stressrelated genes in HZS (257 heat stress-related genes) than in L9K (224 heat stress-related genes). GO and KEGG enrichment analyses indicated that HZS and L9K changed their physiological and biochemical mechanisms in response to heat stress through different molecular mechanisms. Weighted Gene Co-expression Network Analysis showed that HZS might obtain stronger heat resistance than L9K through a unique transcriptional regulatory network. Our findings provide insights into the molecular networks that mediate the tolerance of maize heat stress and also help us to mine key heat stress-related genes. Keywords Differentially expressed genes (DEGs) . Heat stress . qRT-PCR . RNA sequencing (RNA-seq) . Transcriptome . Network analysis
Abbreviations SOD Superoxide dismutase CAT Catalase De-Chuan Wu and Jia-Fei Zhu contributed equally to this work. Handling Editor: Bhumi Nath Tripathi Electronic supplementary material The online version of this article (https://doi.org/10.1007/s00709-020-01538-5) contains supplementary material, which is available to authorized users. * Genlou Sun [email protected] Cheng-Yu Wang [email protected] Zhao-rong Dong [email protected] 1
College of Agronomy, Anhui Agricultural University, Hefei, Anhui, China
2
Biology Department, Saint Mary’s University, Halifax, NS, Canada
MDA PRO GSH APX POD GO KEGG DEG qPCR FC BP CC MF MAPK CDPK TF HSP ROS WGCNA
Malondialdehyde Proline Glutathione Ascorbate peroxidase Peroxidase Gene ontology Kyoto Encyclopedia of Genes and Genome Differentially expressed gene Quantitative PCR Fold change Biological process Cellular component Molecular function Mitogen-activated protein kinase Calcium-dependent protein kinase Transcriptional factor Heat shock protein Reactive oxygen species Weighted gene co-expression network analysis
D.-C. Wu et al.
Introduction Maize is one of impo
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