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Han S, Yue W, Bao A, Jiao T, Liu Y, Zeng H, Song K, Wu M, Guo L. OsCSN2 orchestrates Oryza sativa L. growth and development through modulation of the GA and BR pathways. Funct Integr Genomics 2024; 24:39. [PMID: 38381201 DOI: 10.1007/s10142-024-01320-3] [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: 11/17/2023] [Revised: 01/19/2024] [Accepted: 02/13/2024] [Indexed: 02/22/2024]
Abstract
The COP9 signalosome (CSN) is a conserved protein complex found in higher eukaryotes, consisting of eight subunits, and it plays a crucial role in regulating various processes of plant growth and development. Among these subunits, CSN2 is one of the most conserved components within the COP9 signalosome complex. Despite its prior identification in other species, its specific function in Oryza sativa L. (Rice) has remained poorly understood. In this study, we investigated the role of CSN2 in rice using gene editing CRISPR/Cas9 technology and overexpression techniques. We created two types of mutants: the oscsn2 mutant and the OsCSN2-OE mutant, both in the background of rice, and also generated point mutants of OsCSN2 (OsCSN2K64E, OsCSN2K67E, OsCSN2K71E and OsCSN2K104E) to further explore the regulatory function of OsCSN2. Phenotypic observation and gene expression analysis were conducted on plants from the generated mutants, tracking their growth from the seedling to the heading stages. The results showed that the loss and modification of OsCSN2 had limited effects on plant growth and development during the early stages of both the wild-type and mutant plants. However, as the plants grew to 60 days, significant differences emerged. The OsCSN2 point mutants exhibited increased tillering compared to the OsCSN2-OE mutant plants, which were already at the tillering stage. On the other hand, the OsCSN2 point mutant had already progressed to the heading and flowering stages, with the shorter plants. These results, along with functional predictions of the OsCSN2 protein, indicated that changes in the 64th, 67th, 71st, and 104th amino acids of OsCSN2 affected its ubiquitination site, influencing the ubiquitination function of CSN and consequently impacting the degradation of the DELLA protein SLR1. Taken together, it can be speculated that OsCSN2 plays a key role in GA and BR pathways by influencing the functional regulation of the transcription factor SLR1 in CSN, thereby affecting the growth and development of rice and the number of tillers.
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Affiliation(s)
- Shining Han
- College of Life Sciences, Jilin Agricultural University, Changchun, 130118, People's Republic of China
| | - Weijie Yue
- College of Life Sciences, Jilin Agricultural University, Changchun, 130118, People's Republic of China
| | - Anar Bao
- College of Life Sciences, Jilin Agricultural University, Changchun, 130118, People's Republic of China
| | - Tongtong Jiao
- College of Life Sciences, Jilin Agricultural University, Changchun, 130118, People's Republic of China
| | - Yanxi Liu
- College of Life Sciences, Jilin Agricultural University, Changchun, 130118, People's Republic of China
| | - Hua Zeng
- College of Life Sciences, Jilin Agricultural University, Changchun, 130118, People's Republic of China
| | - Kai Song
- School of Life Science, Changchun Normal University, Changchun, 130032, People's Republic of China
| | - Ming Wu
- College of Life Sciences, Jilin Agricultural University, Changchun, 130118, People's Republic of China.
| | - Liquan Guo
- College of Life Sciences, Jilin Agricultural University, Changchun, 130118, People's Republic of China.
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Hu C, Kuang T, Shaw RK, Zhang Y, Fan J, Bi Y, Jiang F, Guo R, Fan X. Genetic dissection of resistance to gray leaf spot by genome-wide association study in a multi-parent maize population. BMC PLANT BIOLOGY 2024; 24:10. [PMID: 38163896 PMCID: PMC10759574 DOI: 10.1186/s12870-023-04701-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 12/19/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Understanding the genetic mechanisms underlying gray leaf spot (GLS) resistance in maize is crucial for breeding GLS-resistant inbred lines and commercial hybrids. Genome-wide association studies (GWAS) and gene functional annotation are valuable methods for identifying potential SNPs (single nucleotide polymorphism) and candidate genes associated with GLS resistance in maize. RESULTS In this study, a total of 757 lines from five recombinant inbred line (RIL) populations of maize at the F7 generation were used to construct an association mapping panel. SNPs obtained through genotyping-by-sequencing (GBS) were used to perform GWAS for GLS resistance using a linear mixture model in GEMMA. Candidate gene screening was performed by analyzing the 10 kb region upstream and downstream of the significantly associated SNPs linked to GLS resistance. Through GWAS analysis of multi-location phenotypic data, we identified ten candidate genes that were consistently detected in two locations or from one location along with best linear unbiased estimates (BLUE). One of these candidate genes, Zm00001d003257 that might impact GLS resistance by regulating gibberellin content, was further identified through haplotype-based association analysis, candidate gene expression analysis, and previous reports. CONCLUSIONS The discovery of the novel candidate gene provides valuable genomic resources for elucidating the genetic mechanisms underlying GLS resistance in maize. Additionally, these findings will contribute to the development of new genetic resources by utilizing molecular markers to facilitate the genetic improvement and breeding of maize for GLS resistance.
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Affiliation(s)
- Can Hu
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China
- School of Agriculture, Yunnan University, Kunming, China
| | - Tianhui Kuang
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Ranjan K Shaw
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Yudong Zhang
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Jun Fan
- School of Agriculture, Yunnan University, Kunming, China
| | - Yaqi Bi
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Fuyan Jiang
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Ruijia Guo
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Xingming Fan
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China.
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