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Zhao T, Wu H, Wang X, Zhao Y, Wang L, Pan J, Mei H, Han J, Wang S, Lu K, Li M, Gao M, Cao Z, Zhang H, Wan K, Li J, Fang L, Zhang T, Guan X. Integration of eQTL and machine learning to dissect causal genes with pleiotropic effects in genetic regulation networks of seed cotton yield. Cell Rep 2023; 42:113111. [PMID: 37676770 DOI: 10.1016/j.celrep.2023.113111] [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] [Received: 02/27/2023] [Revised: 06/19/2023] [Accepted: 08/24/2023] [Indexed: 09/09/2023] Open
Abstract
The dissection of a gene regulatory network (GRN) that complements the genome-wide association study (GWAS) locus and the crosstalk underlying multiple agronomical traits remains a major challenge. In this study, we generate 558 transcriptional profiles of lint-bearing ovules at one day post-anthesis from a selective core cotton germplasm, from which 12,207 expression quantitative trait loci (eQTLs) are identified. Sixty-six known phenotypic GWAS loci are colocalized with 1,090 eQTLs, forming 38 functional GRNs associated predominantly with seed yield. Of the eGenes, 34 exhibit pleiotropic effects. Combining the eQTLs within the seed yield GRNs significantly increases the portion of narrow-sense heritability. The extreme gradient boosting (XGBoost) machine learning approach is applied to predict seed cotton yield phenotypes on the basis of gene expression. Top-ranking eGenes (NF-YB3, FLA2, and GRDP1) derived with pleiotropic effects on yield traits are validated, along with their potential roles by correlation analysis, domestication selection analysis, and transgenic plants.
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Affiliation(s)
- Ting Zhao
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China; Hainan Institute of Zhejiang University, Building 11, Yonyou Industrial Park, Yazhou Bay Science and Technology City, Yazhou District, Sanya 572025, China
| | - Hongyu Wu
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China
| | - Xutong Wang
- Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Yongyan Zhao
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China; Hainan Institute of Zhejiang University, Building 11, Yonyou Industrial Park, Yazhou Bay Science and Technology City, Yazhou District, Sanya 572025, China
| | - Luyao Wang
- Hainan Institute of Zhejiang University, Building 11, Yonyou Industrial Park, Yazhou Bay Science and Technology City, Yazhou District, Sanya 572025, China
| | - Jiaying Pan
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China; Hainan Institute of Zhejiang University, Building 11, Yonyou Industrial Park, Yazhou Bay Science and Technology City, Yazhou District, Sanya 572025, China
| | - Huan Mei
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China
| | - Jin Han
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China
| | - Siyuan Wang
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China
| | - Kening Lu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China
| | - Menglin Li
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China
| | - Mengtao Gao
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China
| | - Zeyi Cao
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China
| | - Hailin Zhang
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China
| | - Ke Wan
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China
| | - Jie Li
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China
| | - Lei Fang
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China; Hainan Institute of Zhejiang University, Building 11, Yonyou Industrial Park, Yazhou Bay Science and Technology City, Yazhou District, Sanya 572025, China
| | - Tianzhen Zhang
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China; Hainan Institute of Zhejiang University, Building 11, Yonyou Industrial Park, Yazhou Bay Science and Technology City, Yazhou District, Sanya 572025, China
| | - Xueying Guan
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China; Hainan Institute of Zhejiang University, Building 11, Yonyou Industrial Park, Yazhou Bay Science and Technology City, Yazhou District, Sanya 572025, China.
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Hu Y, Feng C, Yang L, Edger PP, Kang M. Genomic population structure and local adaptation of the wild strawberry Fragaria nilgerrensis. HORTICULTURE RESEARCH 2022; 9:uhab059. [PMID: 35043184 PMCID: PMC8993681 DOI: 10.1093/hr/uhab059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 10/15/2021] [Indexed: 06/14/2023]
Abstract
The crop wild relative, Fragaria nilgerrensis, is adapted to a variety of diverse habitats across its native range in China. Thus, discoveries made in this species could serve useful to guide the development of new superior strawberry cultivars that are resilient to new or variable environments. However, the genetic diversity and genetic architecture of traits in this species underlying important adaptive traits remain poorly understood. Here, we used whole-genome resequencing data from 193 F. nilgerrensis individuals spanning the distribution range in China to investigate the genetic diversity, population structure and the genomic basis of local adaptation. We identified four genetic groups, with the western group located in Hengduan Mountains exhibited the highest genetic diversity. Redundancy analysis suggests that both environment and geographic variables shaped a significant proportion of genomic variation. Our analyses revealed that the environmental difference explains more of the observed genetic variation than geographic distance. This suggests that adaptation to distinct habitats, unique combination of abiotic factors, likely drove genetic differentiation. Lastly, by implementing selective sweeps scans and genome-environment association analysis throughout the genome, we identified the genetic variation associated with local adaptation and investigated the functions of putative candidate genes in F. nilgerrensis.
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Affiliation(s)
- Yuxi Hu
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chao Feng
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China
| | - Lihua Yang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China
| | - Patrick P Edger
- Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA
| | - Ming Kang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China
- Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Guangzhou 510650, China
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3
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Wang L, Liu Y, Aslam M, Jakada BH, Qin Y, Cai H. The Glycine-Rich Domain Protein GRDP2 Regulates Ovule Development via the Auxin Pathway in Arabidopsis. FRONTIERS IN PLANT SCIENCE 2021; 12:698487. [PMID: 34777406 PMCID: PMC8585784 DOI: 10.3389/fpls.2021.698487] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 10/11/2021] [Indexed: 05/22/2023]
Abstract
The glycine-rich domain proteins (GRDP) have been functionally implicated in the cell wall structure, biotic, and abiotic stress responses. However, little is known about GRDP genes in female gametophyte development of Arabidopsis. This study shows that GRDP2, a GRDP, plays a crucial role in female gametophyte development. In GRDP2 overexpression lines, grdp2-3, the embryo sacs were arrested at FG1 and no nucleus stages. Furthermore, callose staining shows that cell plate formation during megasporogenesis is disturbed in grdp2-3. In contrast, the pollen development is not affected in grdp2-3. The expression patterns of auxin-specific marker lines in female gametophytes showed that the auxin distribution and transport were significantly changed during megagametogenesis in grdp2-3. In addition, compared with the membrane-localized pattern of PIN1, PIN2, and PIN7 in WT, the signals were detected in the cytoplasm in grdp2-3. Together, our data suggest that GRDP2 plays an essential role in auxin-mediated female gametophyte development.
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Affiliation(s)
- Lulu Wang
- Guangxi Key Laboratory of Sugarcane Biology, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
| | - Yanhui Liu
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Mohammad Aslam
- Guangxi Key Laboratory of Sugarcane Biology, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
| | - Bello Hassan Jakada
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yuan Qin
- Guangxi Key Laboratory of Sugarcane Biology, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Hanyang Cai
- Guangxi Key Laboratory of Sugarcane Biology, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
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Xin S, Dong H, Yang L, Huang D, Zheng F, Cui Y, Wu S, Liao J, He Y, Wan H, Liu Z, Li X, Qian W. Both overlapping and independent loci underlie seed number per pod and seed weight in Brassica napus by comparative quantitative trait loci analysis. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2021; 41:41. [PMID: 37309442 PMCID: PMC10236046 DOI: 10.1007/s11032-021-01232-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 05/10/2021] [Indexed: 06/14/2023]
Abstract
Seed number per pod (SNPP) and seed weight (SW) are two components of seed yield in rapeseed (Brassica napus). Here, a natural population of rapeseed was employed for genome-wide association analysis for SNPP and SW across multi-years. A total of 101 and 77 SNPs significantly associated with SNPP and SW with the phenotypic variances (R2) ranging from 1.35 to 29.47% and from 0.78 to 34.58%, respectively. And 43 and 33 homologs of known genes from model plants were located in the 65 and 49 haplotype blocks (HBs) for SNPP and SW, respectively. Notably, we found 5 overlapping loci and 3 sets of loci with collinearity for both SNPP and SW, of which 4 overlapping loci harbored the haplotypes with the same direction of genetic effects on SNPP and SW, indicating high possibility to simultaneously improve SNPP and SW in rapeseed. Our findings revealed both overlapping and independent loci controlling seed number per pod and seed weight in rapeseed. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-021-01232-1.
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Affiliation(s)
- Shuangshuang Xin
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
| | - Hongli Dong
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
| | - Lei Yang
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
| | - Dengwen Huang
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
| | - Fajing Zheng
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
| | - Yixin Cui
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
| | - Shuang Wu
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
| | - Jinghang Liao
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
| | - Yajun He
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
| | - Huafang Wan
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
| | - Zhi Liu
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
| | - Xiaorong Li
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
| | - Wei Qian
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
- Engineering Research Center of South Upland Agriculture, Ministry of Education, Chongqing, 400715 China
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Castro-Bustos S, Maruri-López I, Ortega-Amaro MA, Serrano M, Ovando-Vázquez C, Jiménez-Bremont JF. An interactome analysis reveals that Arabidopsis thaliana GRDP2 interacts with proteins involved in post-transcriptional processes. Cell Stress Chaperones 2021; 27:165-176. [PMID: 35174430 PMCID: PMC8943079 DOI: 10.1007/s12192-022-01261-5] [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: 12/09/2021] [Revised: 02/02/2022] [Accepted: 02/03/2022] [Indexed: 11/27/2022] Open
Abstract
The Arabidopsis thaliana glycine-rich domain protein 2 (AtGRDP2) gene encodes a protein of unknown function that is involved in plant growth and salt stress tolerance. The AtGRDP2 protein (787 aa, At4g37900) is constituted by three domains: a DUF1399 located at the N-terminus, a potential RNA Recognition Motif (RRM) in the central region, and a short glycine-rich domain at the C-terminus. Herein, we analyzed the subcellular localization of AtGRDP2 protein as a GFP translational fusion and found it was localized in the cytosol and the nucleus of tobacco leaf cells. Truncated versions of AtGRDP2 showed that the DUF1399 or the RRM domains were sufficient for nuclear localization. In addition, we performed a yeast two-hybrid split-ubiquitin assay (Y2H) to identify potential interactors for AtGRDP2 protein. The Y2H assay identified proteins associated with RNA binding functions such as PABN3 (At5g65260), EF-1α (At1g07920), and CL15 (At3g25920). Heterodimeric associations in planta between AtGRDP2 and its interactors were carried out by Bimolecular Fluorescence Complementation (BiFC) assays. The data revealed heterodimeric interactions between AtGRDP2 and PABN3 in the nucleus and AtGRDP2 with EF-1α in the cytosol, while AtGRDP2-CL15 associations occurred only in the chloroplasts. Finally, functional characterization of the protein-protein interaction regions revealed that both DUF1399 and RRM domains were key for heterodimerization with its interactors. The AtGRDP2 interaction with these proteins in different compartments suggests that this glycine-rich domain protein is involved in post-transcriptional processes.
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Affiliation(s)
- Saraí Castro-Bustos
- Laboratorio de Biotecnología Molecular de Plantas, División de Biología Molecular, Instituto Potosino de Investigación Científica y Tecnológica A.C, San Luis Potosí, SLP, Mexico
| | - Israel Maruri-López
- Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Mexico
- Biological and Environmental Science and Engineering Division, Center for Desert Agriculture, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - María Azucena Ortega-Amaro
- Laboratorio de Biotecnología Molecular de Plantas, División de Biología Molecular, Instituto Potosino de Investigación Científica y Tecnológica A.C, San Luis Potosí, SLP, Mexico
- Coordinación Académica Región Altiplano Oeste, Universidad Autónoma de San Luis Potosí, Salinas de Hidalgo, SLP, Mexico
| | - Mario Serrano
- Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Mexico
| | - Cesaré Ovando-Vázquez
- CONACyT-Centro Nacional de Supercómputo, Instituto Potosino de Investigación Científica y Tecnológica, A.C, San Luis Potosí, SLP, Mexico
| | - Juan Francisco Jiménez-Bremont
- Laboratorio de Biotecnología Molecular de Plantas, División de Biología Molecular, Instituto Potosino de Investigación Científica y Tecnológica A.C, San Luis Potosí, SLP, Mexico.
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Zhao X, Qiu T, Feng H, Yin C, Zheng X, Yang J, Peng YL, Zhao W. A novel glycine-rich domain protein, GRDP1, functions as a critical feedback regulator for controlling cell death and disease resistance in rice. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:608-622. [PMID: 32995857 DOI: 10.1093/jxb/eraa450] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 09/25/2020] [Indexed: 06/11/2023]
Abstract
Lesion mimic mutants constitute a valuable genetic resource for unraveling the signaling pathways and molecular mechanisms governing the programmed cell death and defense responses of plants. Here, we identified a lesion mimic mutant, spl-D, from T-DNA insertion rice lines. The mutant exhibited higher accumulation of H2O2, spontaneous cell death, decreased chlorophyll content, up-regulation of defense-related genes, and enhanced disease resistance. The causative gene, OsGRDP1, encodes a cytosol- and membrane-associated glycine-rich domain protein. OsGRDP1 was expressed constitutively in all of the organs of the wild-type plant, but was up-regulated throughout plant development in the spl-D mutant. Both the overexpression and knockdown (RNAi) of OsGRDP1 resulted in the lesion mimic phenotype. Moreover, the intact-protein level of OsGRDP1 was reduced in the spotted leaves from both overexpression and RNAi plants, suggesting that the disruption of intact OsGRDP1 is responsible for lesion formation. OsGRDP1 interacted with an aspartic proteinase, OsAP25. In the spl-D and overexpression plants, proteinase activity was elevated, and lesion formation was partially suppressed by an aspartic proteinase inhibitor. Taken together, our results reveal that OsGRDP1 is a critical feedback regulator, thus contributing to the elucidation of the mechanism underlying cell death and disease resistance.
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Affiliation(s)
- Xiaosheng Zhao
- State Key Laboratory of Agrobiotechnology and College of Plant Protection, China Agricultural University, Beijing, China
| | - Tiancheng Qiu
- State Key Laboratory of Agrobiotechnology and College of Plant Protection, China Agricultural University, Beijing, China
| | - Huijing Feng
- State Key Laboratory of Agrobiotechnology and College of Plant Protection, China Agricultural University, Beijing, China
| | - Changfa Yin
- State Key Laboratory of Agrobiotechnology and College of Plant Protection, China Agricultural University, Beijing, China
| | - Xunmei Zheng
- State Key Laboratory of Agrobiotechnology and College of Plant Protection, China Agricultural University, Beijing, China
| | - Jun Yang
- State Key Laboratory of Agrobiotechnology and College of Plant Protection, China Agricultural University, Beijing, China
| | - You-Liang Peng
- State Key Laboratory of Agrobiotechnology and College of Plant Protection, China Agricultural University, Beijing, China
| | - Wensheng Zhao
- State Key Laboratory of Agrobiotechnology and College of Plant Protection, China Agricultural University, Beijing, China
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Hussain Q, Shi J, Scheben A, Zhan J, Wang X, Liu G, Yan G, King GJ, Edwards D, Wang H. Genetic and signalling pathways of dry fruit size: targets for genome editing-based crop improvement. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:1124-1140. [PMID: 31850661 PMCID: PMC7152616 DOI: 10.1111/pbi.13318] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 11/20/2019] [Accepted: 12/08/2019] [Indexed: 05/24/2023]
Abstract
Fruit is seed-bearing structures specific to angiosperm that form from the gynoecium after flowering. Fruit size is an important fitness character for plant evolution and an agronomical trait for crop domestication/improvement. Despite the functional and economic importance of fruit size, the underlying genes and mechanisms are poorly understood, especially for dry fruit types. Improving our understanding of the genomic basis for fruit size opens the potential to apply gene-editing technology such as CRISPR/Cas to modulate fruit size in a range of species. This review examines the genes involved in the regulation of fruit size and identifies their genetic/signalling pathways, including the phytohormones, transcription and elongation factors, ubiquitin-proteasome and microRNA pathways, G-protein and receptor kinases signalling, arabinogalactan and RNA-binding proteins. Interestingly, different plant taxa have conserved functions for various fruit size regulators, suggesting that common genome edits across species may have similar outcomes. Many fruit size regulators identified to date are pleiotropic and affect other organs such as seeds, flowers and leaves, indicating a coordinated regulation. The relationships between fruit size and fruit number/seed number per fruit/seed size, as well as future research questions, are also discussed.
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Affiliation(s)
- Quaid Hussain
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
| | - Jiaqin Shi
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
| | - Armin Scheben
- School of Biological Sciences and Institute of AgricultureThe University of Western AustraliaPerthWAAustralia
| | - Jiepeng Zhan
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
| | - Xinfa Wang
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
| | - Guihua Liu
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
| | - Guijun Yan
- UWA School of Agriculture and EnvironmentThe UWA Institute of AgricultureThe University of Western AustraliaCrawleyWAAustralia
| | - Graham J. King
- Southern Cross Plant ScienceSouthern Cross UniversityLismoreNSWAustralia
| | - David Edwards
- School of Biological Sciences and Institute of AgricultureThe University of Western AustraliaPerthWAAustralia
| | - Hanzhong Wang
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
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