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Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Zea mays L.) and their implications in breeding programs.

ABSTRACT: Global climate change leads to the concurrence of a number of abiotic stresses including moisture stress (drought, waterlogging), temperature stress (heat, cold), and salinity stress, which are the major factors affecting maize production. To develop abiotic stress tolerance in maize, many quantitative trait loci (QTL) have been identified, but very few of them have been utilized successfully in breeding programs. In this context, the meta-QTL analysis of the reported QTL will enable the identification of stable/real QTL which will pave a reliable way to introgress these QTL into elite cultivars through marker-assisted selection. In this study, a total of 542 QTL were summarized from 33 published studies for tolerance to different abiotic stresses in maize to conduct meta-QTL analysis using BiomercatorV4.2.3. Among those, only 244 major QTL with more than 10% phenotypic variance were preferably utilised to carry out meta-QTL analysis. In total, 32 meta-QTL possessing 1907 candidate genes were detected for different abiotic stresses over diverse genetic and environmental backgrounds. The MQTL2.1, 5.1, 5.2, 5.6, 7.1, 9.1, and 9.2 control different stress-related traits for combined abiotic stress tolerance. The candidate genes for important transcription factor families such as ERF, MYB, bZIP, bHLH, NAC, LRR, ZF, MAPK, HSP, peroxidase, and WRKY have been detected for different stress tolerances. The identified meta-QTL are valuable for future climate-resilient maize breeding programs and functional validation of candidate genes studies, which will help to deepen our understanding of the complexity of these abiotic stresses.

Supplementary information

The online version contains supplementary material available at 10.1007/s11032-022-01294-9.

SUBMITTER: Sheoran S

PROVIDER: S-EPMC10248626 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (<i>Zea mays</i> L.) and their implications in breeding programs.

Sheoran Seema S Gupta Mamta M Kumari Shweta S Kumar Sandeep S Rakshit Sujay S

Molecular breeding : new strategies in plant improvement 20220418 5

Global climate change leads to the concurrence of a number of abiotic stresses including moisture stress (drought, waterlogging), temperature stress (heat, cold), and salinity stress, which are the major factors affecting maize production. To develop abiotic stress tolerance in maize, many quantitative trait loci (QTL) have been identified, but very few of them have been utilized successfully in breeding programs. In this context, the meta-QTL analysis of the reported QTL will enable the identif ...[more]

PMID: 37309532

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Project description:BackgroundTrihelix transcription factors play important roles in triggering plant growth and imparting tolerance against biotic and abiotic stresses. However, a systematical analysis of the trihelix transcription factor family under heat and drought stresses in maize has not been reported.MethodsPlantTFDB and TBtools were employed to identify the trihelix domain-containing genes in the maize genome. The heat-regulated transcriptome data for maize were obtained from NCBI to screen differentially expressed ZmTHs genes through statistical analysis. The basic protein sequences, chromosomal localization, and subcellular localization were analyzed using Maize GDB, Expasy, SOMPA, TBtools, and Plant-mPLoc. The conserved motifs, evolutionary relationships, and cis-elements, were analyzed by MEME, MEGA7.0 and PlantCARE software, respectively. The tissue expression patterns of ZmTHs and their expression profiles under heat and drought stress were detected using quantitative real-time PCR (qRT-PCR).ResultsA total of 44 trihelix family members were discovered, and members were distributed over 10 chromosomes in the maize genome. A total of 11 genes were identified that were regulated by heat stress; these were unevenly distributed on chromosomes 1, 2, 4, 5, and 10. ZmTHs encoded a total of 16 proteins, all of which were located in the nucleus; however, ZmTH04.1 was also distributed in the chloroplast. The protein length varied from 206 to 725 amino acids; the molecular weight ranged from 22.63 to 76.40 kD; and the theoretical isoelectric point (pI) ranged from 5.24 to 11.2. The protein's secondary structures were mainly found to be random coils and α-helices, with fewer instances of elongation chains and β-rotations. Phylogenetic relationship analysis showed that these can be divided into five sub-groups. The conserved domain of ZmTHs was GT1 or MyB_DNA-Bind_4. The protein and gene structure of ZmTHs differed greatly among the subfamilies, while the structures within the subfamilies were similar. The promoter of ZmTHs contained abundant tissue-specific expression cis-acting elements and abiotic stress response elements. qRT-PCR analysis showed that ZmTHs expression levels were significantly different in different tissues. Furthermore, the expression of ZmTH08 was dramatically up-regulated by heat stress, while the expression of ZmTH03, ZmTH04, ZmTH05, ZmTH06, ZmTH07, ZmTH09, ZmTH10, and ZmTH11 were down-regulated by heat stress. Upon PEG-simulated drought stress, ZmTH06 was significantly up-regulated, while ZmTH01 and ZmTH07 were down-regulated.ConclusionsWe performed a genome-wide, systematic identification and analysis of differentially expressed trihelix genes under heat and drought stresses in maize.