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Bonchuk AN, Georgiev PG. C2H2 proteins: Evolutionary aspects of domain architecture and diversification. Bioessays 2024; 46:e2400052. [PMID: 38873893 DOI: 10.1002/bies.202400052] [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: 03/11/2024] [Revised: 05/24/2024] [Accepted: 05/27/2024] [Indexed: 06/15/2024]
Abstract
The largest group of transcription factors in higher eukaryotes are C2H2 proteins, which contain C2H2-type zinc finger domains that specifically bind to DNA. Few well-studied C2H2 proteins, however, demonstrate their key role in the control of gene expression and chromosome architecture. Here we review the features of the domain architecture of C2H2 proteins and the likely origin of C2H2 zinc fingers. A comprehensive investigation of proteomes for the presence of proteins with multiple clustered C2H2 domains has revealed a key difference between groups of organisms. Unlike plants, transcription factors in metazoans contain clusters of C2H2 domains typically separated by a linker with the TGEKP consensus sequence. The average size of C2H2 clusters varies substantially, even between genomes of higher metazoans, and with a tendency to increase in combination with SCAN, and especially KRAB domains, reflecting the increasing complexity of gene regulatory networks.
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Affiliation(s)
- Artem N Bonchuk
- Department of the Control of Genetic Processes, Institute of Gene Biology Russian Academy of Sciences, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
| | - Pavel G Georgiev
- Department of the Control of Genetic Processes, Institute of Gene Biology Russian Academy of Sciences, Moscow, Russia
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Kim WJ, Yang B, Kim DG, Kim SH, Lee YJ, Kim J, Baek SH, Kang SY, Ahn JW, Choi YJ, Bae CH, Iwar K, Kim SH, Ryu J. Genotyping-by-Sequencing Analysis Reveals Associations between Agronomic and Oil Traits in Gamma Ray-Derived Mutant Rapeseed ( Brassica napus L.). PLANTS (BASEL, SWITZERLAND) 2024; 13:1576. [PMID: 38891384 PMCID: PMC11174930 DOI: 10.3390/plants13111576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 05/29/2024] [Accepted: 06/04/2024] [Indexed: 06/21/2024]
Abstract
Rapeseed (Brassica napus L.) holds significant commercial value as one of the leading oil crops, with its agronomic features and oil quality being crucial determinants. In this investigation, 73,226 single nucleotide polymorphisms (SNPs) across 95 rapeseed mutant lines induced by gamma rays, alongside the original cultivar ('Tamra'), using genotyping-by-sequencing (GBS) analysis were examined. This study encompassed gene ontology (GO) analysis and a genomewide association study (GWAS), thereby concentrating on agronomic traits (e.g., plant height, ear length, thousand-seed weight, and seed yield) and oil traits (including fatty acid composition and crude fat content). The GO analysis unveiled a multitude of genes with SNP variations associated with cellular processes, intracellular anatomical structures, and organic cyclic compound binding. Through GWAS, we detected 320 significant SNPs linked to both agronomic (104 SNPs) and oil traits (216 SNPs). Notably, two novel candidate genes, Bna.A05p02350D (SFGH) and Bna.C02p22490D (MDN1), are implicated in thousand-seed weight regulation. Additionally, Bna.C03p14350D (EXO70) and Bna.A09p05630D (PI4Kα1) emerged as novel candidate genes associated with erucic acid and crude fat content, respectively. These findings carry implications for identifying superior genotypes for the development of new cultivars. Association studies offer a cost-effective means of screening mutants and selecting elite rapeseed breeding lines, thereby enhancing the commercial viability of this pivotal oil crop.
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Affiliation(s)
- Woon Ji Kim
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup 56212, Republic of Korea; (W.J.K.); (D.-G.K.); (S.H.K.); (Y.-J.L.); (J.K.); (J.-W.A.)
| | - Baul Yang
- Imsil Cheese & Food Research Institute, Imsil-gun 55918, Republic of Korea; (B.Y.); (Y.-J.C.)
| | - Dong-Gun Kim
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup 56212, Republic of Korea; (W.J.K.); (D.-G.K.); (S.H.K.); (Y.-J.L.); (J.K.); (J.-W.A.)
| | - Sang Hoon Kim
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup 56212, Republic of Korea; (W.J.K.); (D.-G.K.); (S.H.K.); (Y.-J.L.); (J.K.); (J.-W.A.)
| | - Ye-Jin Lee
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup 56212, Republic of Korea; (W.J.K.); (D.-G.K.); (S.H.K.); (Y.-J.L.); (J.K.); (J.-W.A.)
| | - Juyoung Kim
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup 56212, Republic of Korea; (W.J.K.); (D.-G.K.); (S.H.K.); (Y.-J.L.); (J.K.); (J.-W.A.)
| | - So Hyeon Baek
- Department of Plant Production Sciences, Graduate School, Sunchon National University, Suncheon 57922, Republic of Korea; (S.H.B.); (C.-H.B.)
| | - Si-Yong Kang
- Department of Horticulture, College of Industrial Sciences, Kongju National University, Yesan 32439, Republic of Korea;
| | - Joon-Woo Ahn
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup 56212, Republic of Korea; (W.J.K.); (D.-G.K.); (S.H.K.); (Y.-J.L.); (J.K.); (J.-W.A.)
| | - Yu-Jin Choi
- Imsil Cheese & Food Research Institute, Imsil-gun 55918, Republic of Korea; (B.Y.); (Y.-J.C.)
| | - Chang-Hyu Bae
- Department of Plant Production Sciences, Graduate School, Sunchon National University, Suncheon 57922, Republic of Korea; (S.H.B.); (C.-H.B.)
| | - Kanivalan Iwar
- National Agrobiodiversity Center, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 5487, Republic of Korea; (K.I.); (S.-H.K.)
| | - Seong-Hoon Kim
- National Agrobiodiversity Center, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 5487, Republic of Korea; (K.I.); (S.-H.K.)
| | - Jaihyunk Ryu
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup 56212, Republic of Korea; (W.J.K.); (D.-G.K.); (S.H.K.); (Y.-J.L.); (J.K.); (J.-W.A.)
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Wen Y, Hu P, Fang Y, Tan Y, Wang Y, Wu H, Wang J, Wu K, Chai B, Zhu L, Zhang G, Gao Z, Ren D, Zeng D, Shen L, Dong G, Zhang Q, Li Q, Xiong G, Xue D, Qian Q, Hu J. GW9 determines grain size and floral organ identity in rice. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:915-928. [PMID: 37983630 PMCID: PMC10955487 DOI: 10.1111/pbi.14234] [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: 02/20/2023] [Revised: 09/22/2023] [Accepted: 11/04/2023] [Indexed: 11/22/2023]
Abstract
Grain weight is an important determinant of grain yield. However, the underlying regulatory mechanisms for grain size remain to be fully elucidated. Here, we identify a rice mutant grain weight 9 (gw9), which exhibits larger and heavier grains due to excessive cell proliferation and expansion in spikelet hull. GW9 encodes a nucleus-localized protein containing both C2H2 zinc finger (C2H2-ZnF) and VRN2-EMF2-FIS2-SUZ12 (VEFS) domains, serving as a negative regulator of grain size and weight. Interestingly, the non-frameshift mutations in C2H2-ZnF domain result in increased plant height and larger grain size, whereas frameshift mutations in both C2H2-ZnF and VEFS domains lead to dwarf and malformed spikelet. These observations indicated the dual functions of GW9 in regulating grain size and floral organ identity through the C2H2-ZnF and VEFS domains, respectively. Further investigation revealed the interaction between GW9 and the E3 ubiquitin ligase protein GW2, with GW9 being the target of ubiquitination by GW2. Genetic analyses suggest that GW9 and GW2 function in a coordinated pathway controlling grain size and weight. Our findings provide a novel insight into the functional role of GW9 in the regulation of grain size and weight, offering potential molecular strategies for improving rice yield.
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Affiliation(s)
- Yi Wen
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Peng Hu
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Yunxia Fang
- College of Life and Environmental SciencesHangzhou Normal UniversityHangzhouChina
| | - Yiqing Tan
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
- Plant Phenomics Research CenterNanjing Agricultural UniversityNanjingChina
| | - Yueying Wang
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Hao Wu
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Junge Wang
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Kaixiong Wu
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Bingze Chai
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Li Zhu
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Guangheng Zhang
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Zhenyu Gao
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Deyong Ren
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Dali Zeng
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Lan Shen
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Guojun Dong
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Qiang Zhang
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Qing Li
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Guosheng Xiong
- Plant Phenomics Research CenterNanjing Agricultural UniversityNanjingChina
| | - Dawei Xue
- College of Life and Environmental SciencesHangzhou Normal UniversityHangzhouChina
| | - Qian Qian
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
| | - Jiang Hu
- State Key Laboratory of Rice Biology and BreedingChina National Rice Research InstituteHangzhouChina
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Wu Z, Chen X, Yan T, Yu L, Zhang L, Zheng M, Zhu H. Rreb1 is a key transcription factor in Sertoli cell maturation and function and spermatogenesis in mouse. ZYGOTE 2024; 32:130-138. [PMID: 38248872 DOI: 10.1017/s0967199423000655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Spermatogenesis is a developmental process driven by interactions between germ cells and Sertoli cells. This process depends on appropriate gene expression, which might be regulated by transcription factors. This study focused on Rreb1, a zinc finger transcription factor, and explored its function and molecular mechanisms in spermatogenesis in a mouse model. Our results showed that RREB1 was predominantly expressed in the Sertoli cells of the testis. The decreased expression of RREB1 following injection of siRNA caused impaired Sertoli cell development, which was characterized using a defective blood-testis barrier structure and decreased expression of Sertoli cell functional maturity markers; its essential trigger might be SMAD3 destabilization. The decreased expression of RREB1 in mature Sertoli cells influenced the cell structure and function, which resulted in abnormal spermatogenesis, manifested as oligoasthenoteratozoospermia, and we believe RREB1 plays this role by regulating the transcription of Fshr and Wt1. RREB1 has been reported to activate Fshr transcription, and we demonstrated that the knockdown of Rreb1 caused a reduction in follicle-stimulating hormone receptor (FSHR) in the testis, which could be the cause of the increased sperm malformation. Furthermore, we confirmed that RREB1 directly activates Wt1 promoter activity, and RREB1 downregulation induced the decreased expression of Wt1 and its downstream polarity-associated genes Par6b and E-cadherin, which caused increased germ-cell death and reduced sperm number and motility. In conclusion, RREB1 is a key transcription factor essential for Sertoli cell development and function and is required for normal spermatogenesis.
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Affiliation(s)
- Zhu Wu
- Department of Histology and Embryology, School of Basic Medical Sciences, State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
| | - Xu Chen
- Department of Histology and Embryology, School of Basic Medical Sciences, State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
| | - Tong Yan
- Department of Histology and Embryology, School of Basic Medical Sciences, State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
| | - Li Yu
- Department of Histology and Embryology, School of Basic Medical Sciences, State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
| | - Longsheng Zhang
- Department of Histology and Embryology, School of Basic Medical Sciences, State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
| | - Meimei Zheng
- Reproductive Medicine Center of No. 960 Hospital of PLA, Jinan, China
| | - Hui Zhu
- Department of Histology and Embryology, School of Basic Medical Sciences, State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
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Sachdeva S, Singh R, Maurya A, Singh VK, Singh UM, Kumar A, Singh GP. New insights into QTNs and potential candidate genes governing rice yield via a multi-model genome-wide association study. BMC PLANT BIOLOGY 2024; 24:124. [PMID: 38373874 PMCID: PMC10877931 DOI: 10.1186/s12870-024-04810-5] [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: 12/15/2023] [Accepted: 02/08/2024] [Indexed: 02/21/2024]
Abstract
BACKGROUND Rice (Oryza sativa L.) is one of the globally important staple food crops, and yield-related traits are prerequisites for improved breeding efficiency in rice. Here, we used six different genome-wide association study (GWAS) models for 198 accessions, with 553,229 single nucleotide markers (SNPs) to identify the quantitative trait nucleotides (QTNs) and candidate genes (CGs) governing rice yield. RESULTS Amongst the 73 different QTNs in total, 24 were co-localized with already reported QTLs or loci in previous mapping studies. We obtained fifteen significant QTNs, pathway analysis revealed 10 potential candidates within 100kb of these QTNs that are predicted to govern plant height, days to flowering, and plot yield in rice. Based on their superior allelic information in 20 elite and 6 inferior genotypes, we found a higher percentage of superior alleles in the elite genotypes in comparison to inferior genotypes. Further, we implemented expression analysis and enrichment analysis enabling the identification of 73 candidate genes and 25 homologues of Arabidopsis, 19 of which might regulate rice yield traits. Of these candidate genes, 40 CGs were found to be enriched in 60 GO terms of the studied traits for instance, positive regulator metabolic process (GO:0010929), intracellular part (GO:0031090), and nucleic acid binding (GO:0090079). Haplotype and phenotypic variation analysis confirmed that LOC_OS09G15770, LOC_OS02G36710 and LOC_OS02G17520 are key candidates associated with rice yield. CONCLUSIONS Overall, we foresee that the QTNs, putative candidates elucidated in the study could summarize the polygenic regulatory networks controlling rice yield and be useful for breeding high-yielding varieties.
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Grants
- BT/PR32853/AGIII/103/1159/2019 Department of Biotechnology, Ministry of Science and Technology, India
- BT/PR32853/AGIII/103/1159/2019 Department of Biotechnology, Ministry of Science and Technology, India
- BT/PR32853/AGIII/103/1159/2019 Department of Biotechnology, Ministry of Science and Technology, India
- BT/PR32853/AGIII/103/1159/2019 Department of Biotechnology, Ministry of Science and Technology, India
- BT/PR32853/AGIII/103/1159/2019 Department of Biotechnology, Ministry of Science and Technology, India
- BT/PR32853/AGIII/103/1159/2019 Department of Biotechnology, Ministry of Science and Technology, India
- BT/PR32853/AGIII/103/1159/2019 Department of Biotechnology, Ministry of Science and Technology, India
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Affiliation(s)
- Supriya Sachdeva
- Division of Genomic Resources, ICAR-NBPGR, Pusa, New Delhi, India
| | - Rakesh Singh
- Division of Genomic Resources, ICAR-NBPGR, Pusa, New Delhi, India.
| | - Avantika Maurya
- Division of Genomic Resources, ICAR-NBPGR, Pusa, New Delhi, India
| | - Vikas K Singh
- International Rice Research Institute (IRRI), South Asia Hub, ICRISAT, Hyderabad, India
| | - Uma Maheshwar Singh
- International Rice Research Institute (IRRI), South Asia Regional Centre (ISARC), Varanasi, India
| | - Arvind Kumar
- International Crops Research Institute for the Semi-Arid Tropics, Patancheru, Telangana, India
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