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Qing D, Chen W, Li J, Lu B, Huang S, Chen L, Zhou W, Pan Y, Huang J, Wu H, Peng Y, Peng D, Chen L, Zhou Y, Dai G, Deng G. TMT-based quantitative proteomics analysis of defense responses induced by the Bph3 gene following brown planthopper infection in rice. BMC PLANT BIOLOGY 2024; 24:1092. [PMID: 39558244 PMCID: PMC11575174 DOI: 10.1186/s12870-024-05799-7] [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: 08/21/2024] [Accepted: 11/07/2024] [Indexed: 11/20/2024]
Abstract
BACKGROUND The brown planthopper (BPH) is an economically significant pest of rice. Bph3 is a key BPH resistance gene. However, the proteomic response of rice to BPH infestation, both in the presence and absence of Bph3, remains largely unexplored. RESULTS In this study, we employed tandem mass tag labeling in conjunction with liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis to identify differentially expressed proteins (DEPs) in rice samples. We detected 265 and 125 DEPs via comparison of samples infected with BPH for 2 and 4 days with untreated samples of the BPH-sensitive line R582. For the Bph3 introgression line R373, we identified 29 and 94 DEPs in the same comparisons. Bioinformatic analysis revealed that Bph3 significantly influences the abundance of proteins associated with metabolic pathways, secondary metabolite biosynthesis, microbial metabolism in diverse environments, and phenylpropanoid biosynthesis. Moreover, Bph3 regulates the activity of proteins involved in the calcium signaling pathway, mitogen-activated protein kinase (MAPK) signaling pathway, and plant hormone signal transduction. CONCLUSIONS Our results indicate that Bph3 enhances the resistance of rice to BPH mainly by inhibiting the down-regulation of proteins associated with metabolic pathways; calcium signaling, the MAPK signaling pathway, and plant hormone signal transduction might also be involved in BPH resistance induced by Bph3.
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Affiliation(s)
- Dongjin Qing
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Weiwei Chen
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Jingcheng Li
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Baiyi Lu
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Suosheng Huang
- Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Li Chen
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Weiyong Zhou
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Yinghua Pan
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Juan Huang
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Hao Wu
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Yujing Peng
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - De Peng
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Lei Chen
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China
| | - Yan Zhou
- School of Chemistry and Chemical Engineering, Key Laboratory of Chemistry and Engineering of Forest Products, Guangxi Minzu University, Nanning, 530006, China.
| | - Gaoxing Dai
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China.
| | - Guofu Deng
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, State Key Laboratory for Conservation and Utillzation of Subtropical Agro-bioresources, Guangxi Academy of Agricultural Sciences, Nanning, 530007, People's Republic of China.
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Wei S, Yu Z, Du F, Cao F, Yang M, Liu C, Qi Z, Chen Q, Zou J, Wang J. Integrated Transcriptomic and Proteomic Characterization of a Chromosome Segment Substitution Line Reveals the Regulatory Mechanism Controlling the Seed Weight in Soybean. PLANTS (BASEL, SWITZERLAND) 2024; 13:908. [PMID: 38592937 PMCID: PMC10975824 DOI: 10.3390/plants13060908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 03/13/2024] [Accepted: 03/18/2024] [Indexed: 04/11/2024]
Abstract
Soybean is the major global source of edible oils and vegetable proteins. Seed size and weight are crucial traits determining the soybean yield. Understanding the molecular regulatory mechanism underlying the seed weight and size is helpful for improving soybean genetic breeding. The molecular regulatory pathways controlling the seed weight and size were investigated in this study. The 100-seed weight, seed length, seed width, and seed weight per plant of a chromosome segment substitution line (CSSL) R217 increased compared with those of its recurrent parent 'Suinong14' (SN14). Transcriptomic and proteomic analyses of R217 and SN14 were performed at the seed developmental stages S15 and S20. In total, 2643 differentially expressed genes (DEGs) and 208 differentially accumulated proteins (DAPs) were detected at S15, and 1943 DEGs and 1248 DAPs were detected at S20. Furthermore, integrated transcriptomic and proteomic analyses revealed that mitogen-activated protein kinase signaling and cell wall biosynthesis and modification were potential pathways associated with seed weight and size control. Finally, 59 candidate genes that might control seed weight and size were identified. Among them, 25 genes were located on the substituted segments of R217. Two critical pathways controlling seed weight were uncovered in our work. These findings provided new insights into the seed weight-related regulatory network in soybean.
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Affiliation(s)
- Siming Wei
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Zhenhai Yu
- Heilongjiang Province Green Food Science Institute, Harbin 150028, China;
| | - Fangfang Du
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Fubin Cao
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Mingliang Yang
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Chunyan Liu
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Zhaoming Qi
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Qingshan Chen
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Jianan Zou
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Jinhui Wang
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
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Qing D, Chen W, Huang S, Li J, Pan Y, Zhou W, Liang Q, Yuan J, Gan D, Chen L, Chen L, Huang J, Zhou Y, Dai G, Deng G. Editing of rice (Oryza sativa L.) OsMKK3 gene using CRISPR/Cas9 decreases grain length by modulating the expression of photosystem components. Proteomics 2023; 23:e2200538. [PMID: 37376803 DOI: 10.1002/pmic.202200538] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 06/29/2023]
Abstract
Grain size is one of the most important agronomic traits for grain yield determination in rice. To better understand the proteins that are regulated by the grain size regulatory gene OsMKK3, this gene was knocked out using the CRISPR/Cas9 system, and tandem mass tag (TMT) labeling combined with liquid chromatograph-tandem mass spectrometry analysis was performed to study the regulation of proteins in the panicle. Quantitative proteomic screening revealed a total of 106 differentially expressed proteins (DEPs) via comparison of the OsMKK3 mutant line to the wild-type YexiangB, including 15 and 91 up-regulated and down-regulated DEPs, respectively. Pathway analysis revealed that DEPs were enriched in metabolic pathways, biosynthesis of secondary metabolites, phenylpropanoid biosynthesis, and photosynthesis. Strong interactions were detected among seven down-regulated proteins related to photosystem components in the protein-protein interaction network, and photosynthetic rate was decreased in mutant plants. The results of the liquid chromatography-parallel reaction monitoring/mass spectromery analysis and western blot analysis were consistent with the results of the proteomic analysis, and the results of the quantitative reverse transcription polymerase chain reaction analysis revealed that the expression levels of most candidate genes were consistent with protein levels. Overall, OsMKK3 controls grain size by regulating the protein content in cells. Our findings provide new candidate genes that will aid the study of grain size regulatory mechanisms associated with the mitogen-activated protein kinase (MAPK) signaling pathway.
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Affiliation(s)
- Dongjin Qing
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Weiwei Chen
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Suosheng Huang
- Guangxi Academy of Agricultural Sciences, Plant Protection Research Institute, Nanning, China
| | - Jingcheng Li
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Yinghua Pan
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Weiyong Zhou
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Qiongyue Liang
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Jinghua Yuan
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Dongmei Gan
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Li Chen
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Lei Chen
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Juan Huang
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Yan Zhou
- Key Laboratory of Chemistry and Engineering of Forest Products, School of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning, China
| | - Gaoxing Dai
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
| | - Guofu Deng
- Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Nanning, China
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Min CW, Gupta R, Jung JY, Rakwal R, Kang JW, Cho JH, Jeon JS, Kim ST. Comparative Proteome-wide Characterization of Three Different Tissues of High-Protein Mutant and Wild Type Unravels Protein Accumulation Mechanisms in Rice Seeds. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:12357-12367. [PMID: 37549031 DOI: 10.1021/acs.jafc.3c01698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
Improving the proteins and amino acid contents of rice seeds is one of the prime objectives of plant breeders. We recently developed an EMS mutant/high-protein mutant (HPM) of rice that exhibits 14.8% of the total protein content as compared to its parent Dharial (wild-type), which shows only 9.3% protein content in their mature seeds. However, the mechanisms underlying the higher protein accumulation in these HPM seeds remain largely elusive. Here, we utilized high-throughput proteomics to examine the differences in the proteome profiles of the embryo, endosperm, and bran tissues of Dharial and HPM seeds. Utilizing a label-free quantitative proteomic and subsequent functional analyses of the identified proteins revealed that nitrogen compound biosynthesis, intracellular transport, protein/amino acid synthesis, and photosynthesis-related proteins were specifically enriched in the endosperm and bran of the high-protein mutant seed. Our data have uncovered proteome-wide changes highlighting various functions of metabolic pathways associated with protein accumulation in rice seeds.
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Affiliation(s)
- Cheol Woo Min
- Department of Plant Bioscience, Life and Industry Convergence Research Institute, Pusan National University, Miryang 50463, Republic of Korea
| | - Ravi Gupta
- College of General Education, Kookmin University, Seoul 02707, Republic of Korea
| | - Ju-Young Jung
- Department of Plant Bioscience, Life and Industry Convergence Research Institute, Pusan National University, Miryang 50463, Republic of Korea
| | - Randeep Rakwal
- Faculty of Health and Sport Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8574, Japan
- Research Laboratory for Biotechnology and Biochemistry (RLABB), GPO 13265, Kathmandu 44600, Nepal
| | - Ju-Won Kang
- Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration (RDA), Miryang 50424, Republic of Korea
| | - Jun-Hyeon Cho
- Sangju Substation, National Institute of Crop Science, Rural Development Administration (RDA), Sangju 37139, Republic of Korea
| | - Jong-Seong Jeon
- Graduate School of Biotechnology and Crop Biotech Institute, Kyung Hee University, Yongin 17104, Republic of Korea
| | - Sun Tae Kim
- Department of Plant Bioscience, Life and Industry Convergence Research Institute, Pusan National University, Miryang 50463, Republic of Korea
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