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Zhang F, Liu Y, Ma J, Su S, Chen L, Cheng Y, Buter S, Zhao X, Yi L, Lu Z. Analyzing the Diversity of MYB Family Response Strategies to Drought Stress in Different Flax Varieties Based on Transcriptome Data. PLANTS (BASEL, SWITZERLAND) 2024; 13:710. [PMID: 38475556 DOI: 10.3390/plants13050710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/20/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024]
Abstract
The MYB transcription factor family has numerous members, and is involved in biological activities, such as ABA signaling, which plays an important role in a plant's resistance to abiotic stresses such as drought. However, the diversity of MYB members that respond to drought stress and their regulatory mechanisms in different flax varieties were unclear. In this study, we obtained 855.69 Gb of clean data from 120 flax root samples from 20 flax (Linum usitatissimum L.) varieties, assembled 92,861 transcripts, and identified 434 MYB family members in each variety. The expression profiles of the MYB transcription factor family from 20 flax varieties under drought stress were analyzed. The results indicated that there are four strategies by which the MYB family responds to drought stress in these 20 flax varieties, each of which has its own specific processes, such as development, reproduction, and localization processes. The four strategies also include common biological processes, such as stimulus responses, metabolic processes, and biological regulation. The WGCNA method was subsequently employed to identify key members of the MYB family involved in response strategies to drought stress. The results demonstrated that a 1R-MYB subfamily gene co-expression network is significantly related to the gibberellin response and cytokinin-activated signaling pathway processes in the 'Strategy 4' for MYB family response to drought, identifying core genes such as Lus.scaffold70.240. Our results showed a diversity of MYB family responses to drought stress within flax varieties, and these results contribute to deciphering the mechanisms of the MYB family regulation of drought resistance. This will promote the more accurate breeding development of flax to adapt to agricultural production under drought conditions.
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Affiliation(s)
- Fan Zhang
- School of Life Science, Inner Mongolia University, Hohhot 010020, China
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China
- Key Laboratory of Black Soil Protection and Utilization, Ministry of Agriculture and Rural Areas, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Remediation and Pollution Control, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Hohhot 010031, China
| | - Ying Liu
- School of Life Science, Inner Mongolia University, Hohhot 010020, China
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China
- Key Laboratory of Black Soil Protection and Utilization, Ministry of Agriculture and Rural Areas, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Remediation and Pollution Control, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Hohhot 010031, China
| | - Jie Ma
- School of Life Science, Inner Mongolia University, Hohhot 010020, China
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China
- Key Laboratory of Black Soil Protection and Utilization, Ministry of Agriculture and Rural Areas, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Remediation and Pollution Control, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Hohhot 010031, China
| | - Shaofeng Su
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China
- Key Laboratory of Black Soil Protection and Utilization, Ministry of Agriculture and Rural Areas, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Remediation and Pollution Control, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Hohhot 010031, China
| | - Liyu Chen
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China
- Key Laboratory of Black Soil Protection and Utilization, Ministry of Agriculture and Rural Areas, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Remediation and Pollution Control, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Hohhot 010031, China
| | - Yuchen Cheng
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China
- Key Laboratory of Black Soil Protection and Utilization, Ministry of Agriculture and Rural Areas, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Remediation and Pollution Control, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Hohhot 010031, China
| | - Siqin Buter
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China
- Key Laboratory of Black Soil Protection and Utilization, Ministry of Agriculture and Rural Areas, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Remediation and Pollution Control, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Hohhot 010031, China
| | - Xiaoqing Zhao
- School of Life Science, Inner Mongolia University, Hohhot 010020, China
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China
- Key Laboratory of Black Soil Protection and Utilization, Ministry of Agriculture and Rural Areas, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Remediation and Pollution Control, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Hohhot 010031, China
| | - Liuxi Yi
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China
- Agricultural College, Inner Mongolia Agricultural University, Hohhot 010019, China
| | - Zhanyuan Lu
- School of Life Science, Inner Mongolia University, Hohhot 010020, China
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China
- Key Laboratory of Black Soil Protection and Utilization, Ministry of Agriculture and Rural Areas, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Remediation and Pollution Control, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Hohhot 010031, China
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Niu Y, Li J, Sun F, Song T, Han B, Liu Z, Su P. Comparative transcriptome analysis reveals the key genes and pathways involved in drought stress response of two wheat (Triticum aestivum L) varieties. Genomics 2023; 115:110688. [PMID: 37474013 DOI: 10.1016/j.ygeno.2023.110688] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 05/30/2023] [Accepted: 07/14/2023] [Indexed: 07/22/2023]
Abstract
Drought stress results in significant yield losses in wheat production. Although studies have reported a number of wheat drought tolerance genes, a deeper understanding of the tolerance mechanisms is required for improving wheat tolerance against drought stress. In this study, we found that "Deguo 2" exhibited higher tolerance to drought than "Truman". Transcriptomics analysis enabled identification of 6084 and 7146 differentially expressed genes (DEGs), mainly mapping flavonoid biosynthesis, plant hormone, phenolamides and antioxidant pathways and revealed altered expression levels of about 700 genes. Exogenous melatonin application enhanced wheat tolerance against drought stress. Co-expression analysis showed that bHLH and bZIP transcription factors may be involved in the regulation of various pathway genes. Take together, these results provide new insights for us on exploring the crosstalk between phytohormones and secondary metabolites, and will deepen the understanding of the complex tolerance mechanisms against drought stress in wheat.
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Affiliation(s)
- Yufei Niu
- College of Agronomy, Liaocheng University, Liaocheng 252059, PR China
| | - Jingyu Li
- College of Agronomy, Liaocheng University, Liaocheng 252059, PR China
| | - Fanting Sun
- College of Agronomy, Liaocheng University, Liaocheng 252059, PR China
| | - Taiyu Song
- College of Agronomy, Liaocheng University, Liaocheng 252059, PR China
| | - Baojia Han
- College of Agronomy, Liaocheng University, Liaocheng 252059, PR China
| | - Zijie Liu
- College of Agronomy, Liaocheng University, Liaocheng 252059, PR China
| | - Peisen Su
- College of Agronomy, Liaocheng University, Liaocheng 252059, PR China.
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Rahimi Y, Khahani B, Jamali A, Alipour H, Bihamta MR, Ingvarsson PK. Genome-wide association study to identify genomic loci associated with early vigor in bread wheat under simulated water deficit complemented with quantitative trait loci meta-analysis. G3 (BETHESDA, MD.) 2023; 13:jkac320. [PMID: 36458966 PMCID: PMC10248217 DOI: 10.1093/g3journal/jkac320] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 12/05/2022]
Abstract
A genome-wide association study (GWAS) was used to identify associated loci with early vigor under simulated water deficit and grain yield under field drought in a diverse collection of Iranian bread wheat landraces. In addition, a meta-quantitative trait loci (MQTL) analysis was used to further expand our approach by retrieving already published quantitative trait loci (QTL) from recombinant inbred lines, double haploids, back-crosses, and F2 mapping populations. In the current study, around 16%, 14%, and 16% of SNPs were in significant linkage disequilibrium (LD) in the A, B, and D genomes, respectively, and varied between 5.44% (4A) and 21.85% (6A). Three main subgroups were identified among the landraces with different degrees of admixture, and population structure was further explored through principal component analysis. Our GWAS identified 54 marker-trait associations (MTAs) that were located across the wheat genome but with the highest number found in the B sub-genome. The gene ontology (GO) analysis of MTAs revealed that around 75% were located within or closed to protein-coding genes. In the MQTL analysis, 23 MQTLs, from a total of 215 QTLs, were identified and successfully projected onto the reference map. MQT-YLD4, MQT-YLD9, MQT-YLD13, MQT-YLD17, MQT-YLD18, MQT-YLD19, and MQTL-RL1 contributed to the highest number of projected QTLs and were therefore regarded as the most reliable and stable QTLs under water deficit conditions. These MQTLs greatly facilitate the identification of putative candidate genes underlying at each MQTL interval due to the reduced confidence of intervals associated with MQTLs. These findings provide important information on the genetic basis of early vigor traits and grain yield under water deficit conditions and set the foundation for future investigations into adaptation to water deficit in bread wheat.
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Affiliation(s)
- Yousef Rahimi
- Department of Plant Biology, Uppsala BioCenter, Linnean Centre for Plant Biology in Uppsala, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden
| | - Bahman Khahani
- Department of Plant Genetics and Production, College of Agriculture, Shiraz University, 71441-65186 Shiraz, Iran
| | - Ali Jamali
- Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Tehran, 31587-77871 Karaj, Iran
| | - Hadi Alipour
- Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Urmia University, 5756151818 Urmia, Iran
| | - Mohammad Reza Bihamta
- Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Tehran, 31587-77871 Karaj, Iran
| | - Pär K Ingvarsson
- Department of Plant Biology, Uppsala BioCenter, Linnean Centre for Plant Biology in Uppsala, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden
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Rabieyan E, Bihamta MR, Moghaddam ME, Mohammadi V, Alipour H. Genome-wide association mapping for wheat morphometric seed traits in Iranian landraces and cultivars under rain-fed and well-watered conditions. Sci Rep 2022; 12:17839. [PMID: 36284129 PMCID: PMC9596696 DOI: 10.1038/s41598-022-22607-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 10/17/2022] [Indexed: 01/20/2023] Open
Abstract
Seed traits in bread wheat are valuable to breeders and farmers, thus it is important exploring putative QTLs responsible for key traits to be used in breeding programs. GWAS was carried out using 298 bread wheat landraces and cultivars from Iran to uncover the genetic basis of seed characteristics in both rain-fed and well-watered environments. The analyses of linkage disequilibrium (LD) between marker pairs showed that the largest number of significant LDs in landraces (427,017) and cultivars (370,359) was recorded in genome B, and the strongest LD was identified on chromosome 4A (0.318). LD decay was higher in the B and A genomes, compared to the D genome. Mapping by using mrMLM (LOD > 3) and MLM (0.05/m, Bonferroni) led to 246 and 67 marker-trait associations (MTAs) under rain-fed, as well as 257 and 74 MTAs under well-watered conditions, respectively. The study found that 3VmrMLM correctly detected all types of loci and estimated their effects in an unbiased manner, with high power and accuracy and a low false positive rate, which led to the identification of 140 MTAs (LOD > 3) in all environments. Gene ontology revealed that 10 and 10 MTAs were found in protein-coding regions for rain-fed and well-watered conditions, respectively. The findings suggest that landraces studied in Iranian bread wheat germplasm possess valuable alleles, which are responsive to water-limited conditions. MTAs uncovered in this study can be exploited in the genome-mediated development of novel wheat cultivars.
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Affiliation(s)
- Ehsan Rabieyan
- grid.46072.370000 0004 0612 7950Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences and Engineering, University of Tehran, Karaj, Iran
| | - Mohammad Reza Bihamta
- grid.46072.370000 0004 0612 7950Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences and Engineering, University of Tehran, Karaj, Iran
| | - Mohsen Esmaeilzadeh Moghaddam
- grid.473705.20000 0001 0681 7351Cereal Department, Seed and Plant Improvement Institute, AREEO, Karaj, Iran, Karaj, Iran
| | - Valiollah Mohammadi
- grid.46072.370000 0004 0612 7950Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences and Engineering, University of Tehran, Karaj, Iran
| | - Hadi Alipour
- grid.412763.50000 0004 0442 8645Department of Plant Production and Genetics, Faculty of Agriculture, Urmia University, Urmia, Iran
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