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Chen X, Hu X, Li G, Grover CE, You J, Wang R, Liu Z, Qi Z, Luo X, Peng Y, Zhu M, Zhang Y, Lu S, Zhang YM, Lin Z, Wendel JF, Zhang X, Wang M. Genetic Regulatory Perturbation of Gene Expression Impacted by Genomic Introgression in Fiber Development of Allotetraploid Cotton. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2401549. [PMID: 39196795 DOI: 10.1002/advs.202401549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 07/23/2024] [Indexed: 08/30/2024]
Abstract
Interspecific genomic introgression is an important evolutionary process with respect to the generation of novel phenotypic diversity and adaptation. A key question is how gene flow perturbs gene expression networks and regulatory interactions. Here, an introgression population of two species of allopolyploid cotton (Gossypium) to delineate the regulatory perturbations of gene expression regarding fiber development accompanying fiber quality change is utilized. De novo assembly of the recipient parent (G. hirsutum Emian22) genome allowed the identification of genomic variation and introgression segments (ISs) in 323 introgression lines (ILs) from the donor parent (G. barbadense 3-79). It documented gene expression dynamics by sequencing 1,284 transcriptomes of developing fibers and characterized genetic regulatory perturbations mediated by genomic introgression using a multi-locus model. Introgression of individual homoeologous genes exhibiting extreme low or high expression bias can lead to a parallel expression bias in their non-introgressed duplicates, implying a shared yet divergent regulatory fate of duplicated genes following allopolyploidy. Additionally, the IL N182 with improved fiber quality is characterized, and the candidate gene GhFLAP1 related to fiber length is validated. This study outlines a framework for understanding introgression-mediated regulatory perturbations in polyploids, and provides insights for targeted breeding of superior upland cotton fiber.
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Affiliation(s)
- Xinyuan Chen
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xiubao Hu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Guo Li
- Crop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Corrinne E Grover
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, 50011, USA
| | - Jiaqi You
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Ruipeng Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Zhenping Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Zhengyang Qi
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xuanxuan Luo
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yabin Peng
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Mengmeng Zhu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yuqi Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Sifan Lu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yuan-Ming Zhang
- Crop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Zhongxu Lin
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jonathan F Wendel
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, 50011, USA
| | - Xianlong Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Maojun Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
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Cui Y, Xiao X, Wang M, Zhu M, Yuyama N, Zheng J, Xiong C, Liu J, Wang S, Yang Y, Chen J, Cai H. The construction of a maize-teosinte introgression population and quantitative trait loci analysis of their 21 agronomic traits. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2024; 348:112226. [PMID: 39153574 DOI: 10.1016/j.plantsci.2024.112226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 08/03/2024] [Accepted: 08/12/2024] [Indexed: 08/19/2024]
Abstract
Teosinte is a progenitor species of maize (Zea mays ssp. mays) that retains a significant reservoir of genetic resources unaltered via the domestication process. To harness and explore the genetic reservoirs inherent in teosinte, we used the cultivated publicly inbred line H95 and wild species PI566673 (Zea mays ssp. mexicana) to develop a set of introgression lines (ILs), including 366 BC2F5 lines. Using these lines, 12481 high-quality polymorphic homozygous single nucleotide polymorphisms were converted into 2358 bin markers based on Genotyping by Target Sequencing technology. The homozygous introgression ratio in the ILs was approximately 12.1 % and the heterozygous introgression ratio was approximately 5.7 %. Based on the population phenotypic data across 21 important agronomic traits collected in Sanya and Beijing, 185 and 156 quantitative trait loci (QTLs) were detected in Sanya and Beijing, respectively, with 64 stable QTLs detected in both locations. We detected 12 QTL clusters spanning 10 chromosomes consisting of diverse QTLs related to yield traits such as grain size and weight. In addition, we identified useful materials in the ILs for further gene cloning of related variations. For example, some heterogeneous inbred families with superior genetic purity, shorter target heterozygotes, and some ILs exhibit clear morphological variation associated with plant growth, development, and domestication, manifesting traits such as white stalks, sharp seeds, and cob shattering. In conclusion, our results provide a robust foundation for delving into the genetic reservoirs of teosinte, presenting a wealth of genetic resources and offering insight into the genetic architecture underlying maize agronomic traits.
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Affiliation(s)
- Yiping Cui
- College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Xin Xiao
- College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Mumu Wang
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, China
| | - Mengjiao Zhu
- College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Nana Yuyama
- Forage Crop Research Institute, Japan Grassland Agricultural and Forage Seed Association, 388-5 Higashiakada, Nasushiobara, Tochigi 329-2742, Japan
| | - Jingru Zheng
- College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China
| | - Candong Xiong
- College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China
| | - Jiangjiang Liu
- College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Sumeng Wang
- College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Yuru Yang
- College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China
| | - Jun Chen
- College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China.
| | - Hongwei Cai
- College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China; Forage Crop Research Institute, Japan Grassland Agricultural and Forage Seed Association, 388-5 Higashiakada, Nasushiobara, Tochigi 329-2742, Japan.
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Chen Y, Liu Z, Han D, Yang Q, Li C, Shi X, Zhang M, Yang C, Qiu L, Jia H, Wang S, Lu W, Ma Q, Yan L. Cold tolerance SNPs and candidate gene mining in the soybean germination stage based on genome-wide association analysis. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:178. [PMID: 38976061 DOI: 10.1007/s00122-024-04685-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 06/25/2024] [Indexed: 07/09/2024]
Abstract
KEY MESSAGE Three QTLs associated with low-temperature tolerance were identified by genome-wide association analysis, and 15 candidate genes were identified by haplotype analysis and gene expression analyses. Low temperature is a critical factor affecting the geographical distribution, growth, development, and yield of soybeans, with cold stress during seed germination leading to substantial productivity loss. In this study, an association panel comprising 260 soybean accessions was evaluated for four germination traits and four cold tolerance index traits, revealing extensive variation in cold tolerance. Genome-wide association study (GWAS) identified 10 quantitative trait nucleotides (QTNs) associated with cold tolerance, utilizing 30,799 single nucleotide polymorphisms (SNPs) and four GWAS models. Linkage disequilibrium (LD) analysis positioned these QTNs within three cold-tolerance quantitative trait loci (QTL) and, with QTL19-1, was positioned by three multi-locus models, underscoring its importance as a key QTL. Integrative haplotype analysis, supplemented by transcriptome analysis, uncovered 15 candidate genes. The haplotypes within the genes Glyma.18G044200, Glyma.18G044300, Glyma.18G044900, Glyma.18G045100, Glyma.19G222500, and Glyma.19G222600 exhibited significant phenotypic variations, with differential expression in materials with varying cold tolerance. The QTNs and candidate genes identified in this study offer substantial potential for marker-assisted selection and gene editing in breeding cold-tolerant soybeans, providing valuable insights into the genetic mechanisms underlying cold tolerance during soybean germination.
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Affiliation(s)
- Yuehan Chen
- College of Life Science, Qingdao Agricultural University, Qingdao, 266109, China
- Hebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China
| | - Zhi Liu
- Hebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China
| | - Dezhi Han
- Heihe Branch of Heilongjiang Academy of Agricultural Sciences, Heihe, 164300, China
| | - Qing Yang
- Hebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China
| | - Chenhui Li
- Hebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China
| | - Xiaolei Shi
- Hebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China
| | - Mengchen Zhang
- Hebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China
| | - Chunyan Yang
- Hebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China
| | - Lijuan Qiu
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Laboratory of Germplasm and Biotechnology (MARA), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hongchang Jia
- Heihe Branch of Heilongjiang Academy of Agricultural Sciences, Heihe, 164300, China
| | - Shu Wang
- Heihe Branch of Heilongjiang Academy of Agricultural Sciences, Heihe, 164300, China
| | - Wencheng Lu
- Heihe Branch of Heilongjiang Academy of Agricultural Sciences, Heihe, 164300, China.
| | - Qian Ma
- College of Life Science, Qingdao Agricultural University, Qingdao, 266109, China.
| | - Long Yan
- Hebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China.
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Liu L, Zhang Y, Tang C, Wu J, Fu J, Wang Q. Genome-wide identification of ZmMYC2 binding sites and target genes in maize. BMC Genomics 2024; 25:397. [PMID: 38654166 PMCID: PMC11036654 DOI: 10.1186/s12864-024-10297-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 04/09/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Jasmonate (JA) is the important phytohormone to regulate plant growth and adaption to stress signals. MYC2, an bHLH transcription factor, is the master regulator of JA signaling. Although MYC2 in maize has been identified, its function remains to be clarified. RESULTS To understand the function and regulatory mechanism of MYC2 in maize, the joint analysis of DAP-seq and RNA-seq is conducted to identify the binding sites and target genes of ZmMYC2. A total of 3183 genes are detected both in DAP-seq and RNA-seq data, potentially as the directly regulating genes of ZmMYC2. These genes are involved in various biological processes including plant growth and stress response. Besides the classic cis-elements like the G-box and E-box that are bound by MYC2, some new motifs are also revealed to be recognized by ZmMYC2, such as nGCATGCAnn, AAAAAAAA, CACGTGCGTGCG. The binding sites of many ZmMYC2 regulating genes are identified by IGV-sRNA. CONCLUSIONS All together, abundant target genes of ZmMYC2 are characterized with their binding sites, providing the basis to construct the regulatory network of ZmMYC2 and better understanding for JA signaling in maize.
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Affiliation(s)
- Lijun Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, 611130, Chengdu, China
- College of Life Science, Sichuan Agricultural University, 625014, Yaan, China
| | - Yuhan Zhang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, 611130, Chengdu, China
| | - Chen Tang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, 611130, Chengdu, China
| | - Jine Wu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, 611130, Chengdu, China
| | - Jingye Fu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, 611130, Chengdu, China.
| | - Qiang Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, 611130, Chengdu, China.
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Yu T, Zhang J, Cao J, Li S, Cai Q, Li X, Li S, Li Y, He C, Ma X. Identification of Multiple Genetic Loci Related to Low-Temperature Tolerance during Germination in Maize ( Zea maize L.) through a Genome-Wide Association Study. Curr Issues Mol Biol 2023; 45:9634-9655. [PMID: 38132448 PMCID: PMC10742315 DOI: 10.3390/cimb45120602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 11/13/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023] Open
Abstract
Low-temperature stress during the germination stage is an important abiotic stress that affects the growth and development of northern spring maize and seriously restricts maize yield and quality. Although some quantitative trait locis (QTLs) related to low-temperature tolerance in maize have been detected, only a few can be commonly detected, and the QTL intervals are large, indicating that low-temperature tolerance is a complex trait that requires more in-depth research. In this study, 296 excellent inbred lines from domestic and foreign origins (America and Europe) were used as the study materials, and a low-coverage resequencing method was employed for genome sequencing. Five phenotypic traits related to low-temperature tolerance were used to assess the genetic diversity of maize through a genome-wide association study (GWAS). A total of 14 SNPs significantly associated with low-temperature tolerance were detected (-log10(P) > 4), and an SNP consistently linked to low-temperature tolerance in the field and indoors during germination was utilized as a marker. This SNP, 14,070, was located on chromosome 5 at position 2,205,723, which explained 4.84-9.68% of the phenotypic variation. The aim of this study was to enrich the genetic theory of low-temperature tolerance in maize and provide support for the innovation of low-temperature tolerance resources and the breeding of new varieties.
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Affiliation(s)
- Tao Yu
- Maize Research Institute of Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (J.C.); (Q.C.); (X.L.); (X.M.)
- Key Laboratory of Biology and Genetics Improvement of Maize in Northern Northeast Region, Ministry of Agriculture and Rural Affairs, Harbin 150086, China
- Key Laboratory of Germplasm Resources Creation and Utilization of Maize, Harbin 150086, China
| | - Jianguo Zhang
- Maize Research Institute of Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (J.C.); (Q.C.); (X.L.); (X.M.)
- Key Laboratory of Biology and Genetics Improvement of Maize in Northern Northeast Region, Ministry of Agriculture and Rural Affairs, Harbin 150086, China
- Key Laboratory of Germplasm Resources Creation and Utilization of Maize, Harbin 150086, China
| | - Jingsheng Cao
- Maize Research Institute of Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (J.C.); (Q.C.); (X.L.); (X.M.)
- Key Laboratory of Biology and Genetics Improvement of Maize in Northern Northeast Region, Ministry of Agriculture and Rural Affairs, Harbin 150086, China
- Key Laboratory of Germplasm Resources Creation and Utilization of Maize, Harbin 150086, China
| | - Shujun Li
- Maize Research Institute of Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (J.C.); (Q.C.); (X.L.); (X.M.)
- Key Laboratory of Biology and Genetics Improvement of Maize in Northern Northeast Region, Ministry of Agriculture and Rural Affairs, Harbin 150086, China
- Key Laboratory of Germplasm Resources Creation and Utilization of Maize, Harbin 150086, China
| | - Quan Cai
- Maize Research Institute of Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (J.C.); (Q.C.); (X.L.); (X.M.)
- Key Laboratory of Biology and Genetics Improvement of Maize in Northern Northeast Region, Ministry of Agriculture and Rural Affairs, Harbin 150086, China
- Key Laboratory of Germplasm Resources Creation and Utilization of Maize, Harbin 150086, China
| | - Xin Li
- Maize Research Institute of Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (J.C.); (Q.C.); (X.L.); (X.M.)
- Key Laboratory of Biology and Genetics Improvement of Maize in Northern Northeast Region, Ministry of Agriculture and Rural Affairs, Harbin 150086, China
| | - Sinan Li
- Maize Research Institute of Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (J.C.); (Q.C.); (X.L.); (X.M.)
- Key Laboratory of Biology and Genetics Improvement of Maize in Northern Northeast Region, Ministry of Agriculture and Rural Affairs, Harbin 150086, China
| | - Yunlong Li
- Maize Research Institute of Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (J.C.); (Q.C.); (X.L.); (X.M.)
- Key Laboratory of Biology and Genetics Improvement of Maize in Northern Northeast Region, Ministry of Agriculture and Rural Affairs, Harbin 150086, China
| | - Changan He
- Key Laboratory of Biology and Genetics Improvement of Maize in Northern Northeast Region, Ministry of Agriculture and Rural Affairs, Harbin 150086, China
- Keshan Branch of Heilongjiang Academy of Agricultural Sciences, Qiqihaer 161000, China
| | - Xuena Ma
- Maize Research Institute of Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (J.C.); (Q.C.); (X.L.); (X.M.)
- Key Laboratory of Biology and Genetics Improvement of Maize in Northern Northeast Region, Ministry of Agriculture and Rural Affairs, Harbin 150086, China
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Tian R, Xie S, Zhang J, Liu H, Li Y, Hu Y, Huang Y, Liu Y. Identification of Morphogenesis-Related NDR Kinase Signaling Network and Its Regulation on Cold Tolerance in Maize. PLANTS (BASEL, SWITZERLAND) 2023; 12:3639. [PMID: 37896102 PMCID: PMC10610150 DOI: 10.3390/plants12203639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 10/13/2023] [Accepted: 10/19/2023] [Indexed: 10/29/2023]
Abstract
The MOR (Morphogenesis-related NDR kinase) signaling network, initially identified in yeast, exhibits evolutionary conservation across eukaryotes and plays indispensable roles in the normal growth and development of these organisms. However, the functional role of this network and its associated genes in maize (Zea mays) has remained elusive until now. In this study, we identified a total of 19 maize MOR signaling network genes, and subsequent co-expression analysis revealed that 12 of these genes exhibited stronger associations with each other, suggesting their potential collective regulation of maize growth and development. Further analysis revealed significant co-expression between genes involved in the MOR signaling network and several genes related to cold tolerance. All MOR signaling network genes exhibited significant co-expression with COLD1 (Chilling tolerance divergence1), a pivotal gene involved in the perception of cold stimuli, suggesting that COLD1 may directly transmit cold stress signals to MOR signaling network genes subsequent to the detection of a cold stimulus. The findings indicated that the MOR signaling network may play a crucial role in modulating cold tolerance in maize by establishing an intricate relationship with key cold tolerance genes, such as COLD1. Under low-temperature stress, the expression levels of certain MOR signaling network genes were influenced, with a significant up-regulation observed in Zm00001d010720 and a notable down-regulation observed in Zm00001d049496, indicating that cold stress regulated the MOR signaling network. We identified and analyzed a mutant of Zm00001d010720, which showed a higher sensitivity to cold stress, thereby implicating its involvement in the regulation of cold stress in maize. These findings suggested that the relevant components of the MOR signaling network are also conserved in maize and this signaling network plays a vital role in modulating the cold tolerance of maize. This study offered valuable genetic resources for enhancing the cold tolerance of maize.
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Affiliation(s)
- Ran Tian
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, China; (R.T.); (S.X.); (Y.L.); (Y.H.)
| | - Sidi Xie
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, China; (R.T.); (S.X.); (Y.L.); (Y.H.)
| | - Junjie Zhang
- College of Life Science, Sichuan Agricultural University, Ya’an 625014, China; (J.Z.); (H.L.)
| | - Hanmei Liu
- College of Life Science, Sichuan Agricultural University, Ya’an 625014, China; (J.Z.); (H.L.)
| | - Yangping Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, China; (R.T.); (S.X.); (Y.L.); (Y.H.)
| | - Yufeng Hu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, China; (R.T.); (S.X.); (Y.L.); (Y.H.)
| | - Yubi Huang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, China; (R.T.); (S.X.); (Y.L.); (Y.H.)
| | - Yinghong Liu
- Maize Research Institute, Sichuan Agricultural University, Chengdu 611130, China
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7
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Du L, Peng X, Zhang H, Xin W, Ma K, Liu Y, Hu G. Transcriptome Analysis and QTL Mapping Identify Candidate Genes and Regulatory Mechanisms Related to Low-Temperature Germination Ability in Maize. Genes (Basel) 2023; 14:1917. [PMID: 37895266 PMCID: PMC10606144 DOI: 10.3390/genes14101917] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 09/29/2023] [Accepted: 10/05/2023] [Indexed: 10/29/2023] Open
Abstract
Low-temperature germination ability (LTGA) is an important characteristic for spring sowing maize. However, few maize genes related to LTGA were confirmed, and the regulatory mechanism is less clear. Here, maize-inbred lines Ye478 and Q1 with different LTGA were used to perform transcriptome analysis at multiple low-temperature germination stages, and a co-expression network was constructed by weighted gene co-expression network analysis (WGCNA). Data analysis showed that 7964 up- and 5010 down-regulated differentially expressed genes (DEGs) of Ye478 were identified at low-temperature germination stages, while 6060 up- and 2653 down-regulated DEGs of Q1 were identified. Gene ontology (GO) enrichment analysis revealed that ribosome synthesis and hydrogen peroxide metabolism were enhanced and mRNA metabolism was weakened under low-temperature stress for Ye478, while hydrogen peroxide metabolism was enhanced and mRNA metabolism was weakened for Q1. DEGs pairwise comparisons between the two genotypes found that Ye478 performed more ribosome synthesis at low temperatures compared with Q1. WGCNA analysis based on 24 transcriptomes identified 16 co-expressed modules. Of these, the MEbrown module was highly correlated with Ye478 at low-temperature stages and catalase and superoxide dismutase activity, and the MEred, MEgreen, and MEblack modules were highly correlated with Ye478 across low-temperature stages, which revealed a significant association between LTGA and these modules. GO enrichment analysis showed the MEbrown and MEred modules mainly functioned in ribosome synthesis and cell cycle, respectively. In addition, we conducted quantitative trait loci (QTL) analysis based on a doubled haploid (DH) population constructed by Ye478 and Q1 and identified a major QTL explanting 20.6% of phenotype variance on chromosome 1. In this QTL interval, we found three, four, and three hub genes in the MEbrown, MEred, and MEgreen modules, of which two hub genes (Zm00001d031951, Zm00001d031953) related to glutathione metabolism and one hub gene (Zm00001d031617) related to oxidoreductase activity could be the candidate genes for LTGA. These biological functions and candidate genes will be helpful in understanding the regulatory mechanism of LTGA and the directional improvement of maize varieties for LTGA.
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Affiliation(s)
- Lei Du
- Hubei Hongshan Laboratory, Wuhan 430070, China; (L.D.); (Y.L.)
| | - Xin Peng
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (X.P.); (H.Z.); (W.X.); (K.M.)
| | - Hao Zhang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (X.P.); (H.Z.); (W.X.); (K.M.)
| | - Wangsen Xin
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (X.P.); (H.Z.); (W.X.); (K.M.)
| | - Kejun Ma
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (X.P.); (H.Z.); (W.X.); (K.M.)
| | - Yongzhong Liu
- Hubei Hongshan Laboratory, Wuhan 430070, China; (L.D.); (Y.L.)
| | - Guangcan Hu
- Institute of Upland Food Crops, YiChang Academy of Agricultural Science, Yichang 443011, China
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Yang Z, Cao Y, Shi Y, Qin F, Jiang C, Yang S. Genetic and molecular exploration of maize environmental stress resilience: Toward sustainable agriculture. MOLECULAR PLANT 2023; 16:1496-1517. [PMID: 37464740 DOI: 10.1016/j.molp.2023.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 07/03/2023] [Accepted: 07/15/2023] [Indexed: 07/20/2023]
Abstract
Global climate change exacerbates the effects of environmental stressors, such as drought, flooding, extreme temperatures, salinity, and alkalinity, on crop growth and grain yield, threatening the sustainability of the food supply. Maize (Zea mays) is one of the most widely cultivated crops and the most abundant grain crop in production worldwide. However, the stability of maize yield is highly dependent on environmental conditions. Recently, great progress has been made in understanding the molecular mechanisms underlying maize responses to environmental stresses and in developing stress-resilient varieties due to advances in high-throughput sequencing technologies, multi-omics analysis platforms, and automated phenotyping facilities. In this review, we summarize recent advances in dissecting the genetic factors and networks that contribute to maize abiotic stress tolerance through diverse strategies. We also discuss future challenges and opportunities for the development of climate-resilient maize varieties.
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Affiliation(s)
- Zhirui Yang
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Yibo Cao
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Yiting Shi
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Feng Qin
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China.
| | - Caifu Jiang
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China.
| | - Shuhua Yang
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China.
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