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Aloryi KD, Okpala NE, Guo H, Karikari B, Amo A, Bello SF, Saini DK, Akaba S, Tian X. Integrated meta-analysis and transcriptomics pinpoint genomic loci and novel candidate genes associated with submergence tolerance in rice. BMC Genomics 2024; 25:338. [PMID: 38575927 PMCID: PMC10993490 DOI: 10.1186/s12864-024-10219-z] [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: 11/13/2023] [Accepted: 03/13/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Due to rising costs, water shortages, and labour shortages, farmers across the globe now prefer a direct seeding approach. However, submergence stress remains a major bottleneck limiting the success of this approach in rice cultivation. The merger of accumulated rice genetic resources provides an opportunity to detect key genomic loci and candidate genes that influence the flooding tolerance of rice. RESULTS In the present study, a whole-genome meta-analysis was conducted on 120 quantitative trait loci (QTL) obtained from 16 independent QTL studies reported from 2004 to 2023. These QTL were confined to 18 meta-QTL (MQTL), and ten MQTL were successfully validated by independent genome-wide association studies from diverse natural populations. The mean confidence interval (CI) of the identified MQTL was 3.44 times narrower than the mean CI of the initial QTL. Moreover, four core MQTL loci with genetic distance less than 2 cM were obtained. By combining differentially expressed genes (DEG) from two transcriptome datasets with 858 candidate genes identified in the core MQTL regions, we found 38 common differentially expressed candidate genes (DECGs). In silico expression analysis of these DECGs led to the identification of 21 genes with high expression in embryo and coleoptile under submerged conditions. These DECGs encode proteins with known functions involved in submergence tolerance including WRKY, F-box, zinc fingers, glycosyltransferase, protein kinase, cytochrome P450, PP2C, hypoxia-responsive family, and DUF domain. By haplotype analysis, the 21 DECGs demonstrated distinct genetic differentiation and substantial genetic distance mainly between indica and japonica subspecies. Further, the MQTL7.1 was successfully validated using flanked marker S2329 on a set of genotypes with phenotypic variation. CONCLUSION This study provides a new perspective on understanding the genetic basis of submergence tolerance in rice. The identified MQTL and novel candidate genes lay the foundation for marker-assisted breeding/engineering of flooding-tolerant cultivars conducive to direct seeding.
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Grants
- 2023AFA022 Hubei Provincial Natural Science Foundation of China
- 2023AFA022 Hubei Provincial Natural Science Foundation of China
- 2023AFA022 Hubei Provincial Natural Science Foundation of China
- 2023AFA022 Hubei Provincial Natural Science Foundation of China
- 2023AFA022 Hubei Provincial Natural Science Foundation of China
- 2023AFA022 Hubei Provincial Natural Science Foundation of China
- 2023AFA022 Hubei Provincial Natural Science Foundation of China
- 2023AFA022 Hubei Provincial Natural Science Foundation of China
- 2023AFA022 Hubei Provincial Natural Science Foundation of China
- 2020BBB060 Key R&D Project in Hubei Province, China
- 2020BBB060 Key R&D Project in Hubei Province, China
- 2020BBB060 Key R&D Project in Hubei Province, China
- 2020BBB060 Key R&D Project in Hubei Province, China
- 2020BBB060 Key R&D Project in Hubei Province, China
- 2020BBB060 Key R&D Project in Hubei Province, China
- 2020BBB060 Key R&D Project in Hubei Province, China
- 2020BBB060 Key R&D Project in Hubei Province, China
- 2020BBB060 Key R&D Project in Hubei Province, China
- 2018YFD0301306 the National Key Research and Development Program of China
- 2018YFD0301306 the National Key Research and Development Program of China
- 2018YFD0301306 the National Key Research and Development Program of China
- 2018YFD0301306 the National Key Research and Development Program of China
- 2018YFD0301306 the National Key Research and Development Program of China
- 2018YFD0301306 the National Key Research and Development Program of China
- 2018YFD0301306 the National Key Research and Development Program of China
- 2018YFD0301306 the National Key Research and Development Program of China
- 2018YFD0301306 the National Key Research and Development Program of China
- Key R&D Project in Hubei Province, China
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Affiliation(s)
- Kelvin Dodzi Aloryi
- Hubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
| | - Nnaemeka Emmanuel Okpala
- Hubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
| | - Hong Guo
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Benjamin Karikari
- Département de phytologie, Université Laval, Québec, QC, Canada
- Department of Agricultural Biotechnology, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, Tamale, Ghana
| | - Aduragbemi Amo
- Department of Horticultural Sciences, Texas A&M University, College Station, TX, USA
- Texas A&M AgriLife Research and Extension Center, Weslaco, TX, USA
| | - Semiu Folaniyi Bello
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Dinesh Kumar Saini
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
- Department of Plant and Soil Science, Texas Tech University, Lubbock, TX, USA
| | - Selorm Akaba
- School of Agriculture, University of Cape Coast, Cape Coast, Ghana
| | - Xiaohai Tian
- Hubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China.
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Yuan H, Zheng Z, Bao Y, Zhao X, Lv J, Tang C, Wang N, Liang Z, Li H, Xiang J, Qian Y, Shi Y. Identification and Regulation of Hypoxia-Tolerant and Germination-Related Genes in Rice. Int J Mol Sci 2024; 25:2177. [PMID: 38396854 PMCID: PMC10889564 DOI: 10.3390/ijms25042177] [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: 12/18/2023] [Revised: 01/25/2024] [Accepted: 02/06/2024] [Indexed: 02/25/2024] Open
Abstract
In direct seeding, hypoxia is a major stress faced by rice plants. Therefore, dissecting the response mechanism of rice to hypoxia stress and the molecular regulatory network is critical to the development of hypoxia-tolerant rice varieties and direct seeding of rice. This review summarizes the morphological, physiological, and ecological changes in rice under hypoxia stress, the discovery of hypoxia-tolerant and germination-related genes/QTLs, and the latest research on candidate genes, and explores the linkage of hypoxia tolerance genes and their distribution in indica and japonica rice through population variance analysis and haplotype network analysis. Among the candidate genes, OsMAP1 is a typical gene located on the MAPK cascade reaction for indica-japonica divergence; MHZ6 is involved in both the MAPK signaling and phytohormone transduction pathway. MHZ6 has three major haplotypes and one rare haplotype, with Hap3 being dominated by indica rice varieties, and promotes internode elongation in deep-water rice by activating the SD1 gene. OsAmy3D and Adh1 have similar indica-japonica varietal differentiation, and are mainly present in indica varieties. There are three high-frequency haplotypes of OsTPP7, namely Hap1 (n = 1109), Hap2 (n = 1349), and Hap3 (n = 217); Hap2 is more frequent in japonica, and the genetic background of OsTPP7 was derived from the japonica rice subpopulation. Further artificial selection, natural domestication, and other means to identify more resistance mechanisms of this gene may facilitate future research to breed superior rice cultivars. Finally, this study discusses the application of rice hypoxia-tolerant germplasm in future breeding research.
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Affiliation(s)
- Hongyan Yuan
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China; (H.Y.); (Z.Z.); (Y.B.); (X.Z.); (J.L.); (C.T.); (N.W.); (Z.L.); (H.L.); (J.X.); (Y.Q.)
| | - Zhenzhen Zheng
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China; (H.Y.); (Z.Z.); (Y.B.); (X.Z.); (J.L.); (C.T.); (N.W.); (Z.L.); (H.L.); (J.X.); (Y.Q.)
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yaling Bao
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China; (H.Y.); (Z.Z.); (Y.B.); (X.Z.); (J.L.); (C.T.); (N.W.); (Z.L.); (H.L.); (J.X.); (Y.Q.)
| | - Xueyu Zhao
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China; (H.Y.); (Z.Z.); (Y.B.); (X.Z.); (J.L.); (C.T.); (N.W.); (Z.L.); (H.L.); (J.X.); (Y.Q.)
| | - Jiaqi Lv
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China; (H.Y.); (Z.Z.); (Y.B.); (X.Z.); (J.L.); (C.T.); (N.W.); (Z.L.); (H.L.); (J.X.); (Y.Q.)
| | - Chenghang Tang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China; (H.Y.); (Z.Z.); (Y.B.); (X.Z.); (J.L.); (C.T.); (N.W.); (Z.L.); (H.L.); (J.X.); (Y.Q.)
| | - Nansheng Wang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China; (H.Y.); (Z.Z.); (Y.B.); (X.Z.); (J.L.); (C.T.); (N.W.); (Z.L.); (H.L.); (J.X.); (Y.Q.)
| | - Zhaojie Liang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China; (H.Y.); (Z.Z.); (Y.B.); (X.Z.); (J.L.); (C.T.); (N.W.); (Z.L.); (H.L.); (J.X.); (Y.Q.)
| | - Hua Li
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China; (H.Y.); (Z.Z.); (Y.B.); (X.Z.); (J.L.); (C.T.); (N.W.); (Z.L.); (H.L.); (J.X.); (Y.Q.)
| | - Jun Xiang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China; (H.Y.); (Z.Z.); (Y.B.); (X.Z.); (J.L.); (C.T.); (N.W.); (Z.L.); (H.L.); (J.X.); (Y.Q.)
| | - Yingzhi Qian
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China; (H.Y.); (Z.Z.); (Y.B.); (X.Z.); (J.L.); (C.T.); (N.W.); (Z.L.); (H.L.); (J.X.); (Y.Q.)
| | - Yingyao Shi
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China; (H.Y.); (Z.Z.); (Y.B.); (X.Z.); (J.L.); (C.T.); (N.W.); (Z.L.); (H.L.); (J.X.); (Y.Q.)
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Daryani P, Amirbakhtiar N, Soorni J, Loni F, Darzi Ramandi H, Shobbar ZS. Uncovering the Genomic Regions Associated with Yield Maintenance in Rice Under Drought Stress Using an Integrated Meta-Analysis Approach. RICE (NEW YORK, N.Y.) 2024; 17:7. [PMID: 38227151 DOI: 10.1186/s12284-024-00684-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 01/03/2024] [Indexed: 01/17/2024]
Abstract
The complex trait of yield is controlled by several quantitative trait loci (QTLs). Given the global water deficit issue, the development of rice varieties suitable for non-flooded cultivation holds significant importance in breeding programs. The powerful approach of Meta-QTL (MQTL) analysis can be used for the genetic dissection of complicated quantitative traits. In the current study, a comprehensive MQTL analysis was conducted to identify consistent QTL regions associated with drought tolerance and yield-related traits under water deficit conditions in rice. In total, 1087 QTLs from 134 rice populations, published between 2000 to 2021, were utilized in the analysis. Distinct MQTL analysis of the relevant traits resulted in the identification of 213 stable MQTLs. The confidence interval (CI) for the detected MQTLs was between 0.12 and 19.7 cM. The average CI of the identified MQTLs (4.68 cM) was 2.74 times narrower compared to the average CI of the initial QTLs. Interestingly, 63 MQTLs coincided with SNP peak positions detected by genome-wide association studies for yield and drought tolerance-associated traits under water deficit conditions in rice. Considering the genes located both in the QTL-overview peaks and the SNP peak positions, 19 novel candidate genes were introduced, which are associated with drought response index, plant height, panicle number, biomass, and grain yield. Moreover, an inclusive MQTL analysis was performed on all the traits to obtain "Breeding MQTLs". This analysis resulted in the identification of 96 MQTLs with a CI ranging from 0.01 to 9.0 cM. The mean CI of the obtained MQTLs (2.33 cM) was 4.66 times less than the mean CI of the original QTLs. Thirteen MQTLs fulfilling the criteria of having more than 10 initial QTLs, CI < 1 cM, and an average phenotypic variance explained greater than 10%, were designated as "Breeding MQTLs". These findings hold promise for assisting breeders in enhancing rice yield under drought stress conditions.
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Affiliation(s)
- Parisa Daryani
- Department of Systems Biology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Nazanin Amirbakhtiar
- National Plant Gene Bank of Iran, Seed and Plant Improvement Institute (SPII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Jahad Soorni
- Department of Systems Biology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Fatemeh Loni
- Department of Systems Biology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Hadi Darzi Ramandi
- Department of Plant Production and Genetics, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran.
| | - Zahra-Sadat Shobbar
- Department of Systems Biology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
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Ding X, Shi J, Gui J, Zhou H, Yan Y, Zhu X, Xie B, Liu X, He J. Rice Seed Protrusion Quantitative Trait Loci Mapping through Genome-Wide Association Study. PLANTS (BASEL, SWITZERLAND) 2024; 13:134. [PMID: 38202442 PMCID: PMC10780921 DOI: 10.3390/plants13010134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/19/2023] [Accepted: 12/23/2023] [Indexed: 01/12/2024]
Abstract
The germination of seeds is a prerequisite for crop production. Protrusion is important for seed germination, and visible radicle protrusion through seed covering layers is the second phase of the process of seed germination. Analyzing the mechanism of protrusion is important for the cultivation of rice varieties. In this study, 302 microcore germplasm populations were used for the GWAS of the protrusion percentage (PP). The frequency distribution of the PP at 48 h and 72 h is continuous, and six PP-associated QTLs were identified, but only qPP2 was detected repeatedly two times. The candidate gene analysis showed that LOC_Os02g57530 (ETR3), LOC_Os01g57610 (GH3.1) and LOC_Os04g0425 (CTB2) were the candidate genes for qPP2, qPP1 and qPP4, respectively. The haplotype (Hap) analysis revealed that Hap1 of ETR3, Hap1 and 3 of GH3.1 and Hap2 and 5 of CTB2 are elite alleles for the PP. Further validation of the germination phenotype of these candidate genes showed that Hap1 of ETR3 is a favorable allele for the germination percentage; Hap3 of GH3.1 is an elite allele for seed germination; and Hap5 of CTB2 is an elite allele for the PP, the germination percentage and the vigor index. The results of this study identified three putative candidate genes that provide valuable information for understanding the genetic control of seed protrusion in rice.
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Affiliation(s)
| | | | | | | | | | | | | | - Xionglun Liu
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China; (X.D.); (J.S.); (J.G.); (Y.Y.); (X.Z.); (B.X.)
| | - Jiwai He
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China; (X.D.); (J.S.); (J.G.); (Y.Y.); (X.Z.); (B.X.)
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Mwakyusa L, Heredia MC, Kilasi NL, Madege RR, Herzog M, Dixit S. Screening of potential donors for anaerobic stress tolerance during germination in rice. FRONTIERS IN PLANT SCIENCE 2023; 14:1261101. [PMID: 38023850 PMCID: PMC10667690 DOI: 10.3389/fpls.2023.1261101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/25/2023] [Indexed: 12/01/2023]
Abstract
The rising cost of transplanting rice has made direct seeding an affordable alternative for rice establishment, particularly in Africa. However, direct seeding, while cost-effective, faces crop establishment challenges due to flooding. Uncontrolled water, driven by erratic rains in low-lying areas or uneven fields, limit germination. Rice possesses the unique ability of anaerobic germination, enabling it to sprout and emerge in oxygen-deprived conditions. Understanding rice's response to anaerobic stress during germination is crucial for resilience breeding. Africa, although relying on direct seeding, has made limited progress in addressing flooding during germination compared to Asia. Anaerobic stress tolerance ensures successful crop emergence even in oxygen-limited environments and can help suppress weeds, a significant challenge in direct-seeded rice cultivation. This study aims to contribute by screening for potential rice donors exhibiting anaerobic stress tolerance. We screened 200 rice genotypes at Sokoine University of Agriculture (SUA) in Morogoro, Tanzania, primarily focusing on landraces with untapped potential. Using an alpha lattice design, we conducted two anaerobic experiments in September and October 2022, adding 7 cm of standing water immediately after dry seeding for flooded and maintaining a 2 cm water level after germination in the control for duration of 21 days. We identified potential donors based on selection index computed from genomic estimated breeding values (GEBVs) using eight variables: germination at 14 DAS, germination at 21 DAS, seedling height at 14 DAS, seedling height at 21 DAS, shoot dry matter at 21 DAS, root dry matter at 21 DAS, culm diameter at 21 DAS, and root length at 21DAS. Ten genotypes emerged as the most promising, exhibiting at least 70% germination in floodwater at 21 DAS and greater selection indices. These genotypes were like: Afaa Mwanza 1/159, Rojomena 271/10, Kubwa Jinga, Wahiwahi, Magongo ya Wayungu, Mpaka wa Bibi, Mwangaza, Tarabinzona, IB126-Bug 2013A, and Kanamalia with respective percentages of 75, 74, 71, 86, 75, 80, 71, 80, 70, and 73. These findings contribute to global efforts to mitigate the impacts of flooding during germination. These donors, will be potential to enrich the gene pool for anaerobic germination, providing valuable resources for breeding for flooding tolerance.
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Affiliation(s)
- Lupakisyo Mwakyusa
- Department of Crop Science and Horticulture, College of Agriculture, Sokoine University of Agriculture, Morogoro, Tanzania
- Department of Research and Innovation, Tanzania Agricultural Research Institute, Kigoma, Tanzania
| | - Maria Cristina Heredia
- Rice Breeding Innovations Department, International Rice Research Institute, Los Baños, Laguna, Philippines
| | - Newton Lwiyiso Kilasi
- Department of Crop Science and Horticulture, College of Agriculture, Sokoine University of Agriculture, Morogoro, Tanzania
| | - Richard R. Madege
- Department of Crop Science and Horticulture, College of Agriculture, Sokoine University of Agriculture, Morogoro, Tanzania
| | - Max Herzog
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Shalabh Dixit
- Rice Breeding Innovations Department, International Rice Research Institute, Los Baños, Laguna, Philippines
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Li D, Liu K, Zhao C, Liang S, Yang J, Peng Z, Xia A, Yang M, Luo L, Huang C, Wang J, Huang M, Xiao W, Wang H, Su L, Guo T. GWAS Combined with WGCNA of Transcriptome and Metabolome to Excavate Key Candidate Genes for Rice Anaerobic Germination. RICE (NEW YORK, N.Y.) 2023; 16:49. [PMID: 37907655 PMCID: PMC10618154 DOI: 10.1186/s12284-023-00667-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 10/25/2023] [Indexed: 11/02/2023]
Abstract
Direct seeding of rice is a lightweight and simple cultivation method, which can effectively promote rice production. Anaerobic germination tolerance is one of the main traits of rice adaptability to direct seeding. The mining of related genetic loci, analysis of anaerobic traits and screening of tolerance genes provided valuable genetic resources for improving the anaerobic germination ability of direct seeding rice. This study conducted a dynamic genome-wide association study (GWAS) based on coleoptile-related traits of 591 rice natural populations, and a total of 317 SNP sites were detected. Integrated dynamic widely targeted metabolomics analysis, we found that xanthine, L-alanine and GABA may be key biomarkers that are sensitive and respond strongly to hypoxic stress perception. By WGCNA analysis of targeted metabolomics and transcriptomics, a total of 3 modules were obtained that were significantly correlated with the above three marker metabolites, namely dark green, dark gray and light green modules, respectively, and several key structural genes of OsAlaAT1, OsGAD4, OsAAH and Os09g0424600 that may affect hypoxic germination were screened from the 3 modules. Among them, OsAlaAT1 (Os10g0390500), located in Chr10-12877840, which is within the GWAS location range of CVAN3d, is considered to be a more reliable candidate gene. Overall, in addition to providing new insight into the metabolic regulation of L-alanine, GABA and xanthine during hypoxic germination of rice. This study also provided a reference for the basic theoretical research and breeding application research on the related traits of anaerobic germination in direct-seeding rice.
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Affiliation(s)
- Dandan Li
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Kai Liu
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Chuanchao Zhao
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Siyi Liang
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Jing Yang
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Ziai Peng
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Aoyun Xia
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Meng Yang
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Lixin Luo
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Cuihong Huang
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Jiafeng Wang
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Ming Huang
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Wuming Xiao
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Hui Wang
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China
| | - Ling Su
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
- Jiangxi Academy of Eco-environmental Sciences and Planning, Nanchang, 330039, China.
| | - Tao Guo
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
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Thapa R, Tabien RE, Johnson CD, Septiningsih EM. Comparative transcriptomic analysis of germinating rice seedlings to individual and combined anaerobic and cold stress. BMC Genomics 2023; 24:185. [PMID: 37024819 PMCID: PMC10080786 DOI: 10.1186/s12864-023-09262-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 03/20/2023] [Indexed: 04/08/2023] Open
Abstract
BACKGROUND Rice is one of the most important cereals consumed worldwide. Two major abiotic factors affecting rice plants in different growth stages are flooding stress and cold stress. These abiotic stresses can take place independently or simultaneously and significantly affect rice plants during germination and seedling growth. Fortunately, a wide array of phenotypic responses conferring flooding stress and chilling stress tolerance exist within the rice germplasm, indicating the presence of different molecular mechanisms underlying tolerance to these stresses. Understanding these differences may assist in developing improved rice cultivars having higher tolerance to both stresses. In this study, we conducted a comparative global gene expression analysis of two rice genotypes with contrasting phenotypes under cold stress, anaerobic stress, and combined cold and anaerobic stress during germination. RESULTS The differential gene expression analysis revealed that 5571 differentially expressed genes (DEGs), 7206 DEGs, and 13279 DEGs were identified under anaerobic stress, cold stress, and combined stress, respectively. Genes involved in the carbohydrate metabolic process, glucosyltransferase activity, regulation of nitrogen compound metabolic process, protein metabolic process, lipid metabolic process, cellular nitrogen compound biosynthetic process, lipid biosynthetic process, and a microtubule-based process were enriched across all stresses. Notably, the common Gene Ontology (GO) analysis identified three hub genes, namely Os08g0176800 (similar to mRNA-associated protein mrnp 41), Os11g0454200 (dehydrin), and OS10g0505900 (expressed protein). CONCLUSION A large number of differentially expressed genes were identified under anaerobic, cold conditions during germination and the combination of the two stress conditions in rice. These results will assist in the identification of promising candidate genes for possible manipulation toward rice crops that are more tolerant under flooding and cold during germination, both independently and concurrently.
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Affiliation(s)
- Ranjita Thapa
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, 77843, USA
- Present address: Section of Plant Breeding and Genetics, School of Integrative Plant Sciences, Cornell University, Ithaca, NY, 14853, USA
| | | | - Charles D Johnson
- Genomics and Bioinformatics Service, Texas A&M AgriLife Research, College Station, TX, 77843, USA
| | - Endang M Septiningsih
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, 77843, USA.
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Yang J, Wei J, Xu J, Xiong Y, Deng G, Liu J, Fahad S, Wang H. Mapping QTLs for anaerobic tolerance at germination and bud stages using new high density genetic map of rice. FRONTIERS IN PLANT SCIENCE 2022; 13:985080. [PMID: 36325568 PMCID: PMC9618957 DOI: 10.3389/fpls.2022.985080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
Due to its low cost and convenience, direct seeding is an efficient technique for the production of rice in different rice growing areas. However, anaerobic conditions are a major obstacle to the direct seeding of rice and result in poor seedling establishment, which leads to yield losses. We constructed a collection of recombinant inbred lines (RIL) comprising 275 lines derived from the H335 and CHA-1 cross by the method of single seed descent. Via a genotyping-by-sequencing (GBS) strategy, a high-density genetic map containing 2498 recombination bin markers was constructed, the average physical distance between the markers was only 149.38 Kb. After anaerobic treatment, 12 phenotypes related to both the coleoptile at germination and seedling quality at budding were evaluated. There were no significant correlations between seedling and bud traits. Genetic mapping of quantitative traits was performed for these traits across two cropping seasons. A total of 20 loci were detected, named locus 1~20. Three of them were repeatedly detected across both seasons. Six loci overlapped with those in previous reports, and nine loci were associated with multiple traits at both stages. Notably, locus 3, which is located on chromosome 2 (26,713,837 to 27,333,897 bp), was detected for both the germination and bud traits. By focusing on the locus 3 interval and by combining gene annotation and expression analyses, we identified a promising candidate gene, trehalose-6-phosphate phosphatase (OsTPP1, LOC_Os02g44230). Furthermore, RILs (G289, G379, G403, G430 and G454) that have superior phenotypes and that pyramid elite alleles were recognized. The findings of present study provide new genetic resources for direct-seeding rice (DSR) varieties for molecular breeding strategies and expand our knowledge of genetic regulation of seedling establishment under anaerobic conditions.
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Affiliation(s)
- Jing Yang
- Yunnan Key Laboratory of Potato Biology, Yunnan Normal University, Kunming, China
| | - Ji Wei
- Yunnan Key Laboratory of Potato Biology, Yunnan Normal University, Kunming, China
| | - Jifen Xu
- Yunnan Key Laboratory of Potato Biology, Yunnan Normal University, Kunming, China
| | - Yumeng Xiong
- Yunnan Key Laboratory of Potato Biology, Yunnan Normal University, Kunming, China
| | - Gang Deng
- School of Agriculture, Yunnan University, Kunming, China
| | - Jing Liu
- Yunnan Key Laboratory of Potato Biology, Yunnan Normal University, Kunming, China
| | - Shah Fahad
- Department of Agriculture, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan
- Department of Agronomy, The University of Haripur, Haripur, Pakistan
| | - Hongyang Wang
- Yunnan Key Laboratory of Potato Biology, Yunnan Normal University, Kunming, China
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Rawoof A, Ahmad I, Islam K, Momo J, Kumar A, Jaiswal V, Ramchiary N. Integrated omics analysis identified genes and their splice variants involved in fruit development and metabolites production in Capsicum species. Funct Integr Genomics 2022; 22:1189-1209. [PMID: 36173582 DOI: 10.1007/s10142-022-00902-3] [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: 08/01/2022] [Revised: 09/10/2022] [Accepted: 09/19/2022] [Indexed: 11/27/2022]
Abstract
To date, several transcriptomic studies during fruit development have been reported; however, no comprehensive integrated study on expression diversity, alternative splicing, and metabolomic profiling was reported in Capsicum. This study analyzed RNA-seq data and untargeted metabolomic profiling from early green (EG), mature green (MG), and breaker (Br) fruit stages from two Capsicum species, i.e., C. annuum (Cann) and C. frutescens (Cfrut) from Northeast India. A total of 117,416 and 96,802 alternatively spliced events (AltSpli-events) were identified from Cann and Cfrut, respectively. Among AltSpli-events, intron retention (IR; 32.2% Cann and 25.75% Cfrut) followed by alternative acceptor (AA; 15.4% Cann and 18.9% Cfrut) were the most abundant in Capsicum. Around 7600 genes expressed in at least one fruit stage of Cann and Cfrut were AltSpli. The study identified spliced variants of genes including transcription factors (TFs) potentially involved in fruit development/ripening (Aux/IAA 16-like, ETR, SGR1, ARF, CaGLK2, ETR, CaAGL1, MADS-RIN, FUL1, SEPALLATA1), carotenoid (PDS, CA1, CCD4, NCED3, xanthoxin dehydrogenase, CaERF82, CabHLH100, CaMYB3R-1, SGR1, CaWRKY28, CaWRKY48, CaWRKY54), and capsaicinoids or flavonoid biosynthesis (CaMYB48, CaWRKY51), which were significantly differentially spliced (DS) between consecutive Capsicum fruit stages. Also, this study observed that differentially expressed isoforms (DEiso) from 38 genes with differentially spliced events (DSE) were significantly enriched in various metabolic pathways such as starch and sucrose metabolism, amino acid metabolism, cysteine cutin suberin and wax biosynthesis, and carotenoid biosynthesis. Furthermore, the metabolomic profiling revealed that metabolites from aforementioned pathways such as carbohydrates (mainly sugars such as D-fructose, D-galactose, maltose, and sucrose), organic acids (carboxylic acids), and peptide groups significantly altered during fruit development. Taken together, our findings could help in alternative splicing-based targeted studies of candidate genes involved in fruit development and ripening in Capsicum crop.
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Affiliation(s)
- Abdul Rawoof
- Translational and Evolutionary Genomics Lab, School of Life Sciences, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Ilyas Ahmad
- Translational and Evolutionary Genomics Lab, School of Life Sciences, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Khushbu Islam
- Translational and Evolutionary Genomics Lab, School of Life Sciences, Jawaharlal Nehru University, New Delhi, 110067, India
| | - John Momo
- Translational and Evolutionary Genomics Lab, School of Life Sciences, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Ajay Kumar
- Department of Plant Science, School of Biological Sciences, Central University of Kerala, Kasaragod, 671316, Kerala, India
| | - Vandana Jaiswal
- Biotechnology Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, India
| | - Nirala Ramchiary
- Translational and Evolutionary Genomics Lab, School of Life Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
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10
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The Role of Aquaporins in Plant Growth under Conditions of Oxygen Deficiency. Int J Mol Sci 2022; 23:ijms231710159. [PMID: 36077554 PMCID: PMC9456501 DOI: 10.3390/ijms231710159] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 08/28/2022] [Accepted: 09/02/2022] [Indexed: 11/21/2022] Open
Abstract
Plants frequently experience hypoxia due to flooding caused by intensive rainfall or irrigation, when they are partially or completely submerged under a layer of water. In the latter case, some resistant plants implement a hypoxia avoidance strategy by accelerating shoot elongation, which allows lifting their leaves above the water surface. This strategy is achieved due to increased water uptake by shoot cells through water channels (aquaporins, AQPs). It remains a puzzle how an increased flow of water through aquaporins into the cells of submerged shoots can be achieved, while it is well known that hypoxia inhibits the activity of aquaporins. In this review, we summarize the literature data on the mechanisms that are likely to compensate for the decline in aquaporin activity under hypoxic conditions, providing increased water entry into cells and accelerated shoot elongation. These mechanisms include changes in the expression of genes encoding aquaporins, as well as processes that occur at the post-transcriptional level. We also discuss the involvement of hormones, whose concentration changes in submerged plants, in the control of aquaporin activity.
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11
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Wang X, Komatsu S. The Role of Phytohormones in Plant Response to Flooding. Int J Mol Sci 2022; 23:6383. [PMID: 35742828 PMCID: PMC9223812 DOI: 10.3390/ijms23126383] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 06/05/2022] [Accepted: 06/06/2022] [Indexed: 02/07/2023] Open
Abstract
Climatic variations influence the morphological, physiological, biological, and biochemical states of plants. Plant responses to abiotic stress include biochemical adjustments, regulation of proteins, molecular mechanisms, and alteration of post-translational modifications, as well as signal transduction. Among the various abiotic stresses, flooding stress adversely affects the growth of plants, including various economically important crops. Biochemical and biological techniques, including proteomic techniques, provide a thorough understanding of the molecular mechanisms during flooding conditions. In particular, plants can cope with flooding conditions by embracing an orchestrated set of morphological adaptations and physiological adjustments that are regulated by an elaborate hormonal signaling network. With the help of these findings, the main objective is to identify plant responses to flooding and utilize that information for the development of flood-tolerant plants. This review provides an insight into the role of phytohormones in plant response mechanisms to flooding stress, as well as different mitigation strategies that can be successfully administered to improve plant growth during stress exposure. Ultimately, this review will expedite marker-assisted genetic enhancement studies in crops for developing high-yield lines or varieties with flood tolerance.
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Affiliation(s)
- Xin Wang
- College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China;
| | - Setsuko Komatsu
- Faculty of Environmental and Information Sciences, Fukui University of Technology, Fukui 910-8505, Japan
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12
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Hu D, He S, Jia Y, Nazir MF, Sun G, Geng X, Pan Z, Wang L, Chen B, Li H, Ge Y, Pang B, Du X. Genome-wide association study for seedling biomass-related traits in Gossypium arboreum L. BMC PLANT BIOLOGY 2022; 22:54. [PMID: 35086471 PMCID: PMC8793229 DOI: 10.1186/s12870-022-03443-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 01/11/2022] [Indexed: 05/31/2023]
Abstract
BACKGROUND Seedling stage plant biomass is usually used as an auxiliary trait to study plant growth and development or stress adversities. However, few molecular markers and candidate genes of seedling biomass-related traits were found in cotton. RESULT Here, we collected 215 Gossypium arboreum accessions, and investigated 11 seedling biomass-related traits including the fresh weight, dry weight, water content, and root shoot ratio. A genome-wide association study (GWAS) utilizing 142,5003 high-quality SNPs identified 83 significant associations and 69 putative candidate genes. Furthermore, the transcriptome profile of the candidate genes emphasized higher expression of Ga03G1298, Ga09G2054, Ga10G1342, Ga11G0096, and Ga11G2490 in four representative cotton accessions. The relative expression levels of those five genes were further verified by qRT-PCR. CONCLUSIONS The significant SNPs, candidate genes identified in this study are expected to lay a foundation for studying the molecular mechanism for early biomass development and related traits in Asian cotton.
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Affiliation(s)
- Daowu Hu
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China
| | - Shoupu He
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China
| | - Yinhua Jia
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China
| | - Mian Faisal Nazir
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China
| | - Gaofei Sun
- Anyang Institute of Technology, Anyang, 455000, China
| | - Xiaoli Geng
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China
| | - Zhaoe Pan
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China
| | - Liru Wang
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China
| | - Baojun Chen
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China
| | - Hongge Li
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China
| | - Yuting Ge
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China
| | - Baoyin Pang
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China
| | - Xiongming Du
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China.
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Chen R, Deng Y, Ding Y, Guo J, Qiu J, Wang B, Wang C, Xie Y, Zhang Z, Chen J, Chen L, Chu C, He G, He Z, Huang X, Xing Y, Yang S, Xie D, Liu Y, Li J. Rice functional genomics: decades' efforts and roads ahead. SCIENCE CHINA. LIFE SCIENCES 2022. [PMID: 34881420 DOI: 10.1007/s11427-021-2024-2020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/28/2023]
Abstract
Rice (Oryza sativa L.) is one of the most important crops in the world. Since the completion of rice reference genome sequences, tremendous progress has been achieved in understanding the molecular mechanisms on various rice traits and dissecting the underlying regulatory networks. In this review, we summarize the research progress of rice biology over past decades, including omics, genome-wide association study, phytohormone action, nutrient use, biotic and abiotic responses, photoperiodic flowering, and reproductive development (fertility and sterility). For the roads ahead, cutting-edge technologies such as new genomics methods, high-throughput phenotyping platforms, precise genome-editing tools, environmental microbiome optimization, and synthetic methods will further extend our understanding of unsolved molecular biology questions in rice, and facilitate integrations of the knowledge for agricultural applications.
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Affiliation(s)
- Rongzhi Chen
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Yiwen Deng
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology & Ecology, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Yanglin Ding
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Jingxin Guo
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China
| | - Jie Qiu
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Bing Wang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Changsheng Wang
- National Center for Gene Research, Center of Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Yongyao Xie
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China
| | - Zhihua Zhang
- College of Plant Science, Jilin University, Changchun, 130062, China
| | - Jiaxin Chen
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Letian Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China
| | - Chengcai Chu
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Guangcun He
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Zuhua He
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology & Ecology, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Xuehui Huang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Yongzhong Xing
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan, 430070, China
| | - Shuhua Yang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Daoxin Xie
- MOE Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
| | - Yaoguang Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China.
| | - Jiayang Li
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
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14
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Kong W, Li S, Zhang C, Qiang Y, Li Y. Combination of quantitative trait locus (QTL) mapping and transcriptome analysis reveals submerged germination QTLs and candidate genes controlling coleoptile length in rice. Food Energy Secur 2021. [DOI: 10.1002/fes3.354] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Affiliation(s)
- Weilong Kong
- State Key Laboratory of Hybrid Rice College of Life Sciences Wuhan University Wuhan China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture Genome Analysis Laboratory of the Ministry of Agriculture Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen China
| | - Shuangmiao Li
- State Key Laboratory of Hybrid Rice College of Life Sciences Wuhan University Wuhan China
| | - Chenhao Zhang
- State Key Laboratory of Hybrid Rice College of Life Sciences Wuhan University Wuhan China
| | - Yalin Qiang
- State Key Laboratory of Hybrid Rice College of Life Sciences Wuhan University Wuhan China
| | - Yangsheng Li
- State Key Laboratory of Hybrid Rice College of Life Sciences Wuhan University Wuhan China
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15
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Rice functional genomics: decades' efforts and roads ahead. SCIENCE CHINA. LIFE SCIENCES 2021; 65:33-92. [PMID: 34881420 DOI: 10.1007/s11427-021-2024-0] [Citation(s) in RCA: 100] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 11/01/2021] [Indexed: 12/16/2022]
Abstract
Rice (Oryza sativa L.) is one of the most important crops in the world. Since the completion of rice reference genome sequences, tremendous progress has been achieved in understanding the molecular mechanisms on various rice traits and dissecting the underlying regulatory networks. In this review, we summarize the research progress of rice biology over past decades, including omics, genome-wide association study, phytohormone action, nutrient use, biotic and abiotic responses, photoperiodic flowering, and reproductive development (fertility and sterility). For the roads ahead, cutting-edge technologies such as new genomics methods, high-throughput phenotyping platforms, precise genome-editing tools, environmental microbiome optimization, and synthetic methods will further extend our understanding of unsolved molecular biology questions in rice, and facilitate integrations of the knowledge for agricultural applications.
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16
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Sharmin RA, Karikari B, Chang F, Al Amin GM, Bhuiyan MR, Hina A, Lv W, Chunting Z, Begum N, Zhao T. Genome-wide association study uncovers major genetic loci associated with seed flooding tolerance in soybean. BMC PLANT BIOLOGY 2021; 21:497. [PMID: 34715792 PMCID: PMC8555181 DOI: 10.1186/s12870-021-03268-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/29/2021] [Indexed: 06/01/2023]
Abstract
BACKGROUND Seed flooding stress is one of the threatening environmental stressors that adversely limits soybean at the germination stage across the globe. The knowledge on the genetic basis underlying seed-flooding tolerance is limited. Therefore, we performed a genome-wide association study (GWAS) using 34,718 single nucleotide polymorphism (SNPs) in a panel of 243 worldwide soybean collections to identify genetic loci linked to soybean seed flooding tolerance at the germination stage. RESULTS In the present study, GWAS was performed with two contrasting models, Mixed Linear Model (MLM) and Multi-Locus Random-SNP-Effect Mixed Linear Model (mrMLM) to identify significant SNPs associated with electrical conductivity (EC), germination rate (GR), shoot length (ShL), and root length (RL) traits at germination stage in soybean. With MLM, a total of 20, 40, 4, and 9 SNPs associated with EC, GR, ShL and RL, respectively, whereas in the same order mrMLM detected 27, 17, 13, and 18 SNPs. Among these SNPs, two major SNPs, Gm_08_11971416, and Gm_08_46239716 were found to be consistently connected with seed-flooding tolerance related traits, namely EC and GR across two environments. We also detected two SNPs, Gm_05_1000479 and Gm_01_53535790 linked to ShL and RL, respectively. Based on Gene Ontology enrichment analysis, gene functional annotations, and protein-protein interaction network analysis, we predicted eight candidate genes and three hub genes within the regions of the four SNPs with Cis-elements in promoter regions which may be involved in seed-flooding tolerance in soybeans and these warrant further screening and functional validation. CONCLUSIONS Our findings demonstrate that GWAS based on high-density SNP markers is an efficient approach to dissect the genetic basis of complex traits and identify candidate genes in soybean. The trait associated SNPs could be used for genetic improvement in soybean breeding programs. The candidate genes could help researchers better understand the molecular mechanisms underlying seed-flooding stress tolerance in soybean.
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Affiliation(s)
- Ripa Akter Sharmin
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
- Jagannath University, Dhaka, 1100, Bangladesh
| | - Benjamin Karikari
- Department of Crop Science, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, Tamale, Ghana
| | - Fangguo Chang
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - G M Al Amin
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Mashiur Rahman Bhuiyan
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Aiman Hina
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Wenhuan Lv
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Zhang Chunting
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Naheeda Begum
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Tuanjie Zhao
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China.
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Zhao J, He Y, Huang S, Wang Z. Advances in the Identification of Quantitative Trait Loci and Genes Involved in Seed Vigor in Rice. FRONTIERS IN PLANT SCIENCE 2021; 12:659307. [PMID: 34335643 PMCID: PMC8316977 DOI: 10.3389/fpls.2021.659307] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 03/22/2021] [Indexed: 05/08/2023]
Abstract
Seed vigor is a complex trait, including the seed germination, seedling emergence, and growth, as well as seed storability and stress tolerance, which is important for direct seeding in rice. Seed vigor is established during seed development, and its level is decreased during seed storage. Seed vigor is influenced by genetic and environmental factors during seed development, storage, and germination stages. A lot of factors, such as nutrient reserves, seed dying, seed dormancy, seed deterioration, stress conditions, and seed treatments, will influence seed vigor during seed development to germination stages. This review highlights the current advances on the identification of quantitative trait loci (QTLs) and regulatory genes involved in seed vigor at seed development, storage, and germination stages in rice. These identified QTLs and regulatory genes will contribute to the improvement of seed vigor by breeding, biotechnological, and treatment approaches.
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