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Su PS, Li J, Zang D, Wang Z, Wu Y, Chi S, Sun F, Niu Y, Hua X, Yan J, Ge W. Genome-wide evolutionary analysis of TKL_CTR1-DRK-2 gene family and functional characterization reveals that TaCTR1 positively regulates flowering time in wheat. BMC Genomics 2024; 25:474. [PMID: 38745148 PMCID: PMC11092142 DOI: 10.1186/s12864-024-10383-2] [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: 01/08/2024] [Accepted: 05/06/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Flowering time has an important effect on regional adaptation and yields for crops. The tyrosine kinase-like (TKL) gene family is widely existed and participates in many biological processes in plants. Furthermore, only few TKLs have been characterized functions in controlling flowering time in wheat. RESULTS Here, we report that TaCTR1, a tyrosine kinase-like (TKL) gene, regulates flowering time in wheat. Based on identification and evolutionary analysis of TKL_CTR1-DRK-2 subfamily in 15 plants, we proposed an evolutionary model for TaCTR1, suggesting that occurrence of some exon fusion events during evolution. The overexpression of TaCTR1 caused early flowering time in transgenic lines. Transcriptomics analysis enabled identification of mass differential expression genes including plant hormone (ET, ABA, IAA, BR) signaling, flavonoid biosynthesis, phenolamides and antioxidant, and flowering-related genes in TaCTR1 overexpression transgenic lines compared with WT plants. qRT-PCR results showed that the expression levels of ethylene (ET) signal-related genes (ETR, EIN, ERF) and flowering-related genes (FT, PPD1, CO, PRR, PHY) were altered in TaCTR1-overexpressing wheat compared with WT plants. Metabonomics analysis showed that flavonoid contents were altered. CONCLUSIONS Thus, the results show that TaCTR1 plays a positive role in controlling flowering time by activating various signaling pathways and regulating flowering-related genes, and will provide new insights on the mechanisms of wheat flowering regulation.
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Affiliation(s)
- Peisen S Su
- College of Agronomy, Liaocheng University, Liaocheng, 252059, P.R. China.
| | - Jingyu Li
- College of Agronomy, Liaocheng University, Liaocheng, 252059, P.R. China
| | - Dongtian Zang
- College of Agronomy, Liaocheng University, Liaocheng, 252059, P.R. China
| | - Zhiyu Wang
- College of Agronomy, Liaocheng University, Liaocheng, 252059, P.R. China
| | - Yangyang Wu
- College of Agronomy, Liaocheng University, Liaocheng, 252059, P.R. China
| | - Shatong Chi
- College of Agronomy, Liaocheng University, Liaocheng, 252059, P.R. China
| | - Fanting Sun
- College of Agronomy, Liaocheng University, Liaocheng, 252059, P.R. China
| | - Yufei Niu
- College of Agronomy, Liaocheng University, Liaocheng, 252059, P.R. China
| | - Xuewen Hua
- College of Agronomy, Liaocheng University, Liaocheng, 252059, P.R. China
| | - Jun Yan
- Key Laboratory of Huang-Huai-Hai Smart Agricultural Technology of the Ministry of Agriculture and Rural Affairs, College of Information Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, P.R. China.
| | - Wenyang Ge
- College of Agronomy, Anhui Agricultural University, Hefei, 230036, P.R. China.
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Kohli M, Bansal H, Mishra GP, Dikshit HK, Reddappa SB, Roy A, Sinha SK, Shivaprasad K, Kumari N, Kumar A, Kumar RR, Nair RM, Aski M. Genome-wide association studies for earliness, MYMIV resistance, and other associated traits in mungbean ( Vigna radiata L. Wilczek) using genotyping by sequencing approach. PeerJ 2024; 12:e16653. [PMID: 38288464 PMCID: PMC10823994 DOI: 10.7717/peerj.16653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/20/2023] [Indexed: 02/01/2024] Open
Abstract
Yellow mosaic disease (YMD) remains a major constraint in mungbean (Vigna radiata (L.)) production; while short-duration genotypes offer multiple crop cycles per year and help in escaping terminal heat stress, especially during summer cultivation. A comprehensive genotyping by sequencing (GBS)-based genome-wide association studies (GWAS) analysis was conducted using 132 diverse mungbean genotypes for traits like flowering time, YMD resistance, soil plant analysis development (SPAD) value, trichome density, and leaf area. The frequency distribution revealed a wide range of values for all the traits. GBS studies identified 31,953 high-quality single nucleotide polymorphism (SNPs) across all 11 mungbean chromosomes and were used for GWAS. Structure analysis revealed the presence of two genetically distinct populations based on ΔK. The linkage disequilibrium (LD) varied throughout the chromosomes and at r2 = 0.2, the mean LD decay was estimated as 39.59 kb. Two statistical models, mixed linear model (MLM) and Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway (BLINK) identified 44 shared SNPs linked with various candidate genes. Notable candidate genes identified include FPA for flowering time (VRADI10G01470; chr. 10), TIR-NBS-LRR for mungbean yellow mosaic India virus (MYMIV) resistance (VRADI09G06940; chr. 9), E3 ubiquitin-protein ligase RIE1 for SPAD value (VRADI07G28100; chr. 11), WRKY family transcription factor for leaf area (VRADI03G06560; chr. 3), and LOB domain-containing protein 21 for trichomes (VRADI06G04290; chr. 6). In-silico validation of candidate genes was done through digital gene expression analysis using Arabidopsis orthologous (compared with Vigna radiata genome). The findings provided valuable insight for marker-assisted breeding aiming for the development of YMD-resistant and early-maturing mungbean varieties.
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Affiliation(s)
- Manju Kohli
- Amity Institute of Biotechnology, Amity University, Noida, Uttar Pradesh, India
- Genetics, Indian Agricultural Research Institute, Delhi, Delhi, India
| | - Hina Bansal
- Amity Institute of Biotechnology, Amity University, Noida, Uttar Pradesh, India
| | | | | | | | - Anirban Roy
- Division of Plant Pathology, Indian Agricultural Research Institute, New Delhi, Delhi, India
| | - Subodh Kumar Sinha
- Biotechnology, National Institute of Plant Biotechnology, New Delhi, Delhi, India
| | - K.M. Shivaprasad
- Genetics, Indian Agricultural Research Institute, Delhi, Delhi, India
| | - Nikki Kumari
- Genetics, Indian Agricultural Research Institute, Delhi, Delhi, India
| | - Atul Kumar
- Division of Seed Science and Technology, Indian Agricultural Research Institute, New Delhi, Delhi, India
| | - Ranjeet R. Kumar
- Biochemistry, Indian Agricultural Research Institute, New Delhi, Delhi, India
| | | | - Muraleedhar Aski
- Genetics, Indian Agricultural Research Institute, Delhi, Delhi, India
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Jun SE, Shim JS, Park HJ. Beyond NPK: Mineral Nutrient-Mediated Modulation in Orchestrating Flowering Time. PLANTS (BASEL, SWITZERLAND) 2023; 12:3299. [PMID: 37765463 PMCID: PMC10535918 DOI: 10.3390/plants12183299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023]
Abstract
Flowering time in plants is a complex process regulated by environmental conditions such as photoperiod and temperature, as well as nutrient conditions. While the impact of major nutrients like nitrogen, phosphorus, and potassium on flowering time has been well recognized, the significance of micronutrient imbalances and their deficiencies should not be neglected because they affect the floral transition from the vegetative stage to the reproductive stage. The secondary major nutrients such as calcium, magnesium, and sulfur participate in various aspects of flowering. Micronutrients such as boron, zinc, iron, and copper play crucial roles in enzymatic reactions and hormone biosynthesis, affecting flower development and reproduction as well. The current review comprehensively explores the interplay between microelements and flowering time, and summarizes the underlying mechanism in plants. Consequently, a better understanding of the interplay between microelements and flowering time will provide clues to reveal the roles of microelements in regulating flowering time and to improve crop reproduction in plant industries.
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Affiliation(s)
- Sang Eun Jun
- Department of Molecular Genetics, Dong-A University, Busan 49315, Republic of Korea;
| | - Jae Sun Shim
- School of Biological Science and Technology, College of Natural Sciences, Chonnam National University, Gwangju 61186, Republic of Korea
| | - Hee Jin Park
- Department of Biological Sciences and Research Center of Ecomimetics, College of Natural Sciences, Chonnam National University, Gwangju 61186, Republic of Korea
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Hu CH, Li BB, Chen P, Shen HY, Xi WG, Zhang Y, Yue ZH, Wang HX, Ma KS, Li LL, Chen KM. Identification of CDPKs involved in TaNOX7 mediated ROS production in wheat. FRONTIERS IN PLANT SCIENCE 2023; 13:1108622. [PMID: 36756230 PMCID: PMC9900008 DOI: 10.3389/fpls.2022.1108622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 12/22/2022] [Indexed: 06/18/2023]
Abstract
As the critical sensors and decoders of calcium signal, calcium-dependent protein kinase (CDPK) has become the focus of current research, especially in plants. However, few resources are available on the properties and functions of CDPK gene family in Triticum aestivum (TaCDPK). Here, a total of 79 CDPK genes were identified in the wheat genome. These TaCDPKs could be classified into four subgroups on phylogenesis, while they may be classified into two subgroups based on their tissue and organ-spatiotemporal expression profiles or three subgroups according to their induced expression patterns. The analysis on the signal network relationships and interactions of TaCDPKs and NADPH (reduced nicotinamide adenine dinucleotide phosphate oxidases, NOXs), the key producers for reactive oxygen species (ROS), showed that there are complicated cross-talks between these two family proteins. Further experiments demonstrate that, two members of TaCDPKs, TaCDPK2/4, can interact with TaNOX7, an important member of wheat NOXs, and enhanced the TaNOX7-mediated ROS production. All the results suggest that TaCDPKs are highly expressed in wheat with distinct tissue or organ-specificity and stress-inducible diversity, and play vital roles in plant development and response to biotic and abiotic stresses by directly interacting with TaNOXs for ROS production.
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Affiliation(s)
- Chun-Hong Hu
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
| | - Bin-Bin Li
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China
| | - Peng Chen
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
| | - Hai-Yan Shen
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
| | - Wei-Gang Xi
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
| | - Yi Zhang
- Key Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University, Zhoukou, China
| | - Zong-Hao Yue
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
| | - Hong-Xing Wang
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
| | - Ke-Shi Ma
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
| | - Li-Li Li
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
- Key Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University, Zhoukou, China
| | - Kun-Ming Chen
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China
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Li X, Hu D, Cai L, Wang H, Liu X, Du H, Yang Z, Zhang H, Hu Z, Huang F, Kan G, Kong F, Liu B, Yu D, Wang H. CALCIUM-DEPENDENT PROTEIN KINASE38 regulates flowering time and common cutworm resistance in soybean. PLANT PHYSIOLOGY 2022; 190:480-499. [PMID: 35640995 PMCID: PMC9434205 DOI: 10.1093/plphys/kiac260] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/03/2022] [Indexed: 06/02/2023]
Abstract
Photoperiod-sensitive plants such as soybean (Glycine max) often face threats from herbivorous insects throughout their whole growth period and especially during flowering; however, little is known about the relationship between plant flowering and insect resistance. Here, we used gene editing, multiple omics, genetic diversity and evolutionary analyses to confirm that the calcium-dependent protein kinase GmCDPK38 plays a dual role in coordinating flowering time regulation and insect resistance of soybean. Haplotype 2 (Hap2)-containing soybeans flowered later and were more resistant to the common cutworm (Spodoptera litura Fabricius) than those of Hap3. gmcdpk38 mutants with Hap3 knocked out exhibited similar flowering and resistance phenotypes as Hap2. Knocking out GmCDPK38 altered numerous flowering- and resistance-related phosphorylated proteins, genes, and metabolites. For example, the S-adenosylmethionine synthase GmSAMS1 was post-translationally upregulated in the gmcdpk38 mutants. GmCDPK38 has abundant genetic diversity in wild soybeans and was likely selected during soybean domestication. We found that Hap2 was mostly distributed at low latitudes and had a higher frequency in cultivars than in wild soybeans, while Hap3 was widely selected at high latitudes. Overall, our results elucidated that the two distinct traits (flowering time and insect resistance) are mediated by GmCDPK38.
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Affiliation(s)
- Xiao Li
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Dezhou Hu
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Linyan Cai
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Huiqi Wang
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Xinyu Liu
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Haiping Du
- School of Life Sciences, Guangzhou University, Guangzhou 510006, China
| | - Zhongyi Yang
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Huairen Zhang
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Zhenbin Hu
- Department of Biology, Saint Louis University, St. Louis, Missouri 63103, USA
| | - Fang Huang
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Guizhen Kan
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Fanjiang Kong
- School of Life Sciences, Guangzhou University, Guangzhou 510006, China
| | - Baohui Liu
- School of Life Sciences, Guangzhou University, Guangzhou 510006, China
| | - Deyue Yu
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Hui Wang
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
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