1
|
Deng D, Sun S, Wu W, Duan C, Wu X, Zhu Z. Fine mapping and identification of a Fusarium wilt resistance gene FwS1 in pea. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:171. [PMID: 38918246 DOI: 10.1007/s00122-024-04682-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Accepted: 06/20/2024] [Indexed: 06/27/2024]
Abstract
KEY MESSAGE A Fusarium wilt resistance gene FwS1 on pea chromosome 6 was identified and mapped to a 91.4 kb region by a comprehensive genomic-based approach, and the gene Psat6g003960 harboring NB-ARC domain was identified as the putative candidate gene. Pea Fusarium wilt, incited by Fusarium oxysporum f. sp. pisi (Fop), has always been a devastating disease that causes severe yield losses and economic damage in pea-growing regions worldwide. The utilization of pea cultivars carrying resistance gene is the most efficient approach for managing this disease. In order to finely map resistance gene, F2 populations were established through the cross between Shijiadacaiwan 1 (resistant) and Y4 (susceptible). The resistance genetic analysis indicated that the Fop resistance in Shijiadacaiwan 1 was governed by a single dominant gene, named FwS1. Based on the bulked segregant analysis sequencing analyses, the gene FwS1 was initially detected on chromosome 6 (i.e., linking group II, chr6LG2), and subsequent linkage mapping with 589 F2 individuals fine-mapped the gene FwS1 into a 91.4 kb region. The further functional annotation and haplotype analysis confirmed that the gene Psat6g003960, characterized by a NB-ARC (nucleotide-binding adaptor shared by APAF-1, R proteins, and CED-4) domain, was considered as the most promising candidate gene. The encoding amino acids were altered by a "T/C" single-nucleotide polymorphism (SNP) in the first exon of the Psat6g003960, and based on this SNP locus, the molecular marker A016180 was determined to be a diagnostic marker for FwS1 by validating its specificity in both pea accessions and genetic populations with different genetic backgrounds. The FwS1 with diagnostic KASP marker A016180 could facilitate marker-assisted selection in resistance pea breeding in pea. In addition, a comparison of the candidate gene Psat6g003960 in 74SN3B and SJ1 revealed the same sequences. This finding indicated that 74SN3B carried the candidate gene for FwS1, suggesting that FwS1 and Fwf may be closely linked or an identical resistant gene against Fusarium wilt.
Collapse
Affiliation(s)
- Dong Deng
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- Department of Plant Pathology, College of Plant Protection, China Agricultural University, Beijing, 100193, China
| | - Suli Sun
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Wenqi Wu
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Canxing Duan
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xuehong Wu
- Department of Plant Pathology, College of Plant Protection, China Agricultural University, Beijing, 100193, China.
| | - Zhendong Zhu
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| |
Collapse
|
2
|
Jiang W, Liu Y, Zhang C, Pan L, Wang W, Zhao C, Zhao T, Li Y. Identification of major QTLs for drought tolerance in soybean, together with a novel candidate gene, GmUAA6. JOURNAL OF EXPERIMENTAL BOTANY 2024; 75:1852-1871. [PMID: 38226463 DOI: 10.1093/jxb/erad483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 01/12/2024] [Indexed: 01/17/2024]
Abstract
Drought tolerance is a complex trait in soybean that is controlled by polygenetic quantitative trait loci (QTLs). In this study, wilting score, days-to-wilting, leaf relative water content, and leaf relative conductivity were used to identify QTLs associated with drought tolerance in recombinant inbred lines derived from a cross between a drought-sensitive variety, Lin, and a drought-tolerant variety, Meng. A total of 33 drought-tolerance QTLs were detected. Of these 17 were major QTLs. In addition, 15 were novel drought-tolerance QTLs. The most predominant QTL was on chromosome 11. This was detected in at least three environments. The overlapped mapping interval of the four measured traits was 0.2 cM in genetic distance (about 220 kb in physical length). Glyma.11g143500 (designated as GmUAA6), which encodes a UDP-N-acetylglucosamine transporter, was identified as the most likely candidate gene. The allele of GmUAA6 from Lin (GmUAA6Lin) was associated with improved soybean drought tolerance. Overexpression of GmUAA6Lin in Arabidopsis and soybean hairy roots enhanced drought tolerance. Furthermore, a 3-bp insertion/deletion (InDel) in the coding sequence of GmUAA6 explained up to 49.9% of the phenotypic variation in drought tolerance-related traits, suggesting that this InDel might be used in future marker-assisted selection of drought-tolerant lines in soybean breeding programs.
Collapse
Affiliation(s)
- Wei Jiang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
- Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210014, China
| | - Yandang Liu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
- Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210014, China
| | - Chi Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Lang Pan
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Wei Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Chunzhao Zhao
- Shanghai Center for Plant Stress Biology and Center of Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Tuanjie Zhao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
- Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210014, China
| | - Yan Li
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
- Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210014, China
| |
Collapse
|
3
|
Li W, Zheng X, Cheng R, Zhong C, Zhao J, Liu TH, Yi T, Zhu Z, Xu J, Meksem K, Dai L, Liu S. Soybean ZINC FINGER PROTEIN03 targets two SUPEROXIDE DISMUTASE1s and confers resistance to Phytophthora sojae. PLANT PHYSIOLOGY 2023; 192:633-647. [PMID: 36782397 PMCID: PMC10152685 DOI: 10.1093/plphys/kiad083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 12/22/2022] [Accepted: 01/19/2023] [Indexed: 05/03/2023]
Abstract
Phytophthora sojae causes Phytophthora root and stem rot disease of soybean (Glycine max), leading to huge annual yield loss worldwide, but resistance to Phytophthora sojae (Rps) genes remains elusive. Soybean cultivar "Yudou 29" is resistant to P. sojae strain PsMC1, and this study aimed to clone, identify, and characterize the Rps gene in Yudou 29 (RpsYD29) and clarify its functional mechanism. We map-based cloned RpsYD29 (ZINC FINGER PROTEIN03, GmZFP03) using the families of a cross between Yudou 29 and a P. sojae-susceptible soybean cultivar "Jikedou 2". P. sojae resistance of GmZFP03 was functionally validated by stable soybean genetic transformation and allele-phenotype association analysis. GmZFP03 was identified as a C2H2-type zinc finger protein transcription factor, showing 4 amino acid residue polymorphisms (V79F, G122-, G123-, and D125V) and remarkably different expression patterns between resistant and susceptible soybeans. Notably boosted activity and gene expression of superoxide dismutase (SOD) in resistant-type GmZFP03-expressed transgenic soybean, substantial enhancement of P. sojae resistance of wild-type soybean by exogenous SOD treatment, and GmZFP03 binding to and activation of 2 SOD1 (Glyma.03g242900 and Glyma.19g240400) promoters demonstrated the involvement of SOD1s in GmZFP03-mediated resistance to P. sojae strain PsMC1. Thus, this study cloned the soybean P. sojae-resistant GmZFP03, the product of which specifically targets 2 SOD1 promoters. GmZFP03 can be directly used for precise P. sojae-resistance soybean breeding.
Collapse
Affiliation(s)
- Wei Li
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha 410128, P. R. China
| | - Xiang Zheng
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha 410128, P. R. China
| | - Rong Cheng
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha 410128, P. R. China
| | - Chanjuan Zhong
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha 410128, P. R. China
| | - Jie Zhao
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - Tyler H Liu
- College of Letters and Science, University of Wisconsin, Madison, WI 53706, USA
| | - Tuyong Yi
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha 410128, P. R. China
| | - Zhendong Zhu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, P. R. China
| | - Jieting Xu
- Wimi Biotechnology Co., Ltd, Changzhou 213000, P. R. China
| | - Khalid Meksem
- Department of Plant, Soil and Agricultural Systems, Southern Illinois University, Carbondale, IL 62901, USA
| | - Liangying Dai
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha 410128, P. R. China
| | - Shiming Liu
- Hunan Provincial Key Laboratory for Biology and Control of Plant Diseases and Insect Pests, College of Plant Protection, Hunan Agricultural University, Changsha 410128, P. R. China
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| |
Collapse
|
4
|
BSR and Full-Length Transcriptome Approaches Identified Candidate Genes for High Seed Ratio in Camellia vietnamensis. Curr Issues Mol Biol 2022; 45:311-326. [PMID: 36661508 PMCID: PMC9857833 DOI: 10.3390/cimb45010022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 12/26/2022] [Accepted: 12/29/2022] [Indexed: 01/03/2023] Open
Abstract
(1) Background: C. vietnamensis is very suitable for growth in the low hilly areas of southern subtropical regions. Under appropriate conditions, the oil yield of C. vietnamensis can reach 1125 kg/ha (the existing varieties can reach 750 kg/ha). Moreover, the fruit of C. vietnamensis is large and the pericarp is thick (>5 cm). Therefore, a high seed ratio has become the main target economic trait for the breeding of C. vietnamensis. (2) Methods: A half-sibling population of C. vietnamensis plants with a combination of high and low seed ratios was constructed by crossing a C. vietnamensis female parent. Bulked segregant RNA analysis and full-length transcriptome sequencing were performed to determine the molecular mechanisms underlying a high seed ratio. (3) Results: Seed ratio is a complex quantitative trait with a normal distribution, which is significantly associated with four other traits of fruit (seed weight, seed number, fruit diameter, and pericarp thickness). Two candidate regions related to high seed ratio (HSR) were predicted. One spanned 140.8−148.4 Mb of chromosome 2 and was associated with 97 seed-yield-related candidate genes ranging in length from 278 to 16,628 bp. The other spanned 35.3−37.3 Mb on chromosome 15 and was associated with 38 genes ranging in length from 221 to 16,928 bp. Using the full-length transcript as a template, a total of 115 candidate transcripts were obtained, and 78 transcripts were predicted to be functionally annotated. The DEGs from two set pairs of cDNA sequencing bulks were enriched to cytochrome p450 CYP76F14 (KOG0156; GO:0055114, HSR4, HSR7), the gibberellin phytohormone pathway (GO:0016787, HSR5), the calcium signaling pathway (GO:0005509, HSR6), the polyubiquitin-PPAR signaling pathway (GO:0005515, HSR2, HSR3), and several main transcription factors (bZIP transcription factor, HSR1) in C. vietnamensis.
Collapse
|
5
|
Chandra S, Choudhary M, Bagaria PK, Nataraj V, Kumawat G, Choudhary JR, Sonah H, Gupta S, Wani SH, Ratnaparkhe MB. Progress and prospectus in genetics and genomics of Phytophthora root and stem rot resistance in soybean ( Glycine max L.). Front Genet 2022; 13:939182. [PMID: 36452161 PMCID: PMC9702362 DOI: 10.3389/fgene.2022.939182] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 10/21/2022] [Indexed: 09/16/2023] Open
Abstract
Soybean is one of the largest sources of protein and oil in the world and is also considered a "super crop" due to several industrial advantages. However, enhanced acreage and adoption of monoculture practices rendered the crop vulnerable to several diseases. Phytophthora root and stem rot (PRSR) caused by Phytophthora sojae is one of the most prevalent diseases adversely affecting soybean production globally. Deployment of genetic resistance is the most sustainable approach for avoiding yield losses due to this disease. PRSR resistance is complex in nature and difficult to address by conventional breeding alone. Genetic mapping through a cost-effective sequencing platform facilitates identification of candidate genes and associated molecular markers for genetic improvement against PRSR. Furthermore, with the help of novel genomic approaches, identification and functional characterization of Rps (resistance to Phytophthora sojae) have also progressed in the recent past, and more than 30 Rps genes imparting complete resistance to different PRSR pathotypes have been reported. In addition, many genomic regions imparting partial resistance have also been identified. Furthermore, the adoption of emerging approaches like genome editing, genomic-assisted breeding, and genomic selection can assist in the functional characterization of novel genes and their rapid introgression for PRSR resistance. Hence, in the near future, soybean growers will likely witness an increase in production by adopting PRSR-resistant cultivars. This review highlights the progress made in deciphering the genetic architecture of PRSR resistance, genomic advances, and future perspectives for the deployment of PRSR resistance in soybean for the sustainable management of PRSR disease.
Collapse
Affiliation(s)
| | | | - Pravin K. Bagaria
- Department of Plant Pathology, Punjab Agricultural University, Ludhiana, India
| | | | | | | | - Humira Sonah
- National Agri-Food Biotechnology Institute, Mohali, India
| | - Sanjay Gupta
- ICAR-Indian Institute of Soybean Research, Indore, India
| | - Shabir Hussain Wani
- Mountain Research Centre for Field Crops, Sher-e-Kashmir University of Agricultural Sciences and Technology, Srinagar, Jammu and Kashmir, India
| | | |
Collapse
|
6
|
Asati R, Tripathi MK, Tiwari S, Yadav RK, Tripathi N. Molecular Breeding and Drought Tolerance in Chickpea. LIFE (BASEL, SWITZERLAND) 2022; 12:life12111846. [PMID: 36430981 PMCID: PMC9698494 DOI: 10.3390/life12111846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/05/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2022]
Abstract
Cicer arietinum L. is the third greatest widely planted imperative pulse crop worldwide, and it belongs to the Leguminosae family. Drought is the utmost common abiotic factor on plants, distressing their water status and limiting their growth and development. Chickpea genotypes have the natural ability to fight drought stress using certain strategies viz., escape, avoidance and tolerance. Assorted breeding methods, including hybridization, mutation, and marker-aided breeding, genome sequencing along with omics approaches, could be used to improve the chickpea germplasm lines(s) against drought stress. Root features, for instance depth and root biomass, have been recognized as the greatest beneficial morphological factors for managing terminal drought tolerance in the chickpea. Marker-aided selection, for example, is a genomics-assisted breeding (GAB) strategy that can considerably increase crop breeding accuracy and competence. These breeding technologies, notably marker-assisted breeding, omics, and plant physiology knowledge, underlined the importance of chickpea breeding and can be used in future crop improvement programmes to generate drought-tolerant cultivars(s).
Collapse
Affiliation(s)
- Ruchi Asati
- Department of Genetics & Plant Breeding, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
| | - Manoj Kumar Tripathi
- Department of Genetics & Plant Breeding, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
- Department of Plant Molecular Biology & Biotechnology, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
- Correspondence: (M.K.T.); (N.T.)
| | - Sushma Tiwari
- Department of Genetics & Plant Breeding, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
- Department of Plant Molecular Biology & Biotechnology, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
| | - Rakesh Kumar Yadav
- Department of Genetics & Plant Breeding, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
| | - Niraj Tripathi
- Directorate of Research Services, Jawaharlal Nehru Agricultural University, Jabalpur 482004, India
- Correspondence: (M.K.T.); (N.T.)
| |
Collapse
|
7
|
Lin F, Chhapekar SS, Vieira CC, Da Silva MP, Rojas A, Lee D, Liu N, Pardo EM, Lee YC, Dong Z, Pinheiro JB, Ploper LD, Rupe J, Chen P, Wang D, Nguyen HT. Breeding for disease resistance in soybean: a global perspective. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:3773-3872. [PMID: 35790543 PMCID: PMC9729162 DOI: 10.1007/s00122-022-04101-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 04/11/2022] [Indexed: 05/29/2023]
Abstract
KEY MESSAGE This review provides a comprehensive atlas of QTLs, genes, and alleles conferring resistance to 28 important diseases in all major soybean production regions in the world. Breeding disease-resistant soybean [Glycine max (L.) Merr.] varieties is a common goal for soybean breeding programs to ensure the sustainability and growth of soybean production worldwide. However, due to global climate change, soybean breeders are facing strong challenges to defeat diseases. Marker-assisted selection and genomic selection have been demonstrated to be successful methods in quickly integrating vertical resistance or horizontal resistance into improved soybean varieties, where vertical resistance refers to R genes and major effect QTLs, and horizontal resistance is a combination of major and minor effect genes or QTLs. This review summarized more than 800 resistant loci/alleles and their tightly linked markers for 28 soybean diseases worldwide, caused by nematodes, oomycetes, fungi, bacteria, and viruses. The major breakthroughs in the discovery of disease resistance gene atlas of soybean were also emphasized which include: (1) identification and characterization of vertical resistance genes reside rhg1 and Rhg4 for soybean cyst nematode, and exploration of the underlying regulation mechanisms through copy number variation and (2) map-based cloning and characterization of Rps11 conferring resistance to 80% isolates of Phytophthora sojae across the USA. In this review, we also highlight the validated QTLs in overlapping genomic regions from at least two studies and applied a consistent naming nomenclature for these QTLs. Our review provides a comprehensive summary of important resistant genes/QTLs and can be used as a toolbox for soybean improvement. Finally, the summarized genetic knowledge sheds light on future directions of accelerated soybean breeding and translational genomics studies.
Collapse
Affiliation(s)
- Feng Lin
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824 USA
| | - Sushil Satish Chhapekar
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri-Columbia, Columbia, MO 65211 USA
| | - Caio Canella Vieira
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri-Columbia, Columbia, MO 65211 USA
- Fisher Delta Research Center, University of Missouri, Portageville, MO 63873 USA
| | - Marcos Paulo Da Silva
- Department of Entomology and Plant Pathology, University of Arkansas, Fayetteville, AR 72701 USA
| | - Alejandro Rojas
- Department of Entomology and Plant Pathology, University of Arkansas, Fayetteville, AR 72701 USA
| | - Dongho Lee
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri-Columbia, Columbia, MO 65211 USA
- Fisher Delta Research Center, University of Missouri, Portageville, MO 63873 USA
| | - Nianxi Liu
- Soybean Research Institute, Jilin Academy of Agricultural Sciences, Changchun,, 130033 Jilin China
| | - Esteban Mariano Pardo
- Instituto de Tecnología Agroindustrial del Noroeste Argentino (ITANOA) [Estación Experimental Agroindustrial Obispo Colombres (EEAOC) – Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)], Av. William Cross 3150, C.P. T4101XAC, Las Talitas, Tucumán, Argentina
| | - Yi-Chen Lee
- Fisher Delta Research Center, University of Missouri, Portageville, MO 63873 USA
| | - Zhimin Dong
- Soybean Research Institute, Jilin Academy of Agricultural Sciences, Changchun,, 130033 Jilin China
| | - Jose Baldin Pinheiro
- Departamento de Genética, Escola Superior de Agricultura “Luiz de Queiroz” (ESALQ/USP), PO Box 9, Piracicaba, SP 13418-900 Brazil
| | - Leonardo Daniel Ploper
- Instituto de Tecnología Agroindustrial del Noroeste Argentino (ITANOA) [Estación Experimental Agroindustrial Obispo Colombres (EEAOC) – Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)], Av. William Cross 3150, C.P. T4101XAC, Las Talitas, Tucumán, Argentina
| | - John Rupe
- Department of Entomology and Plant Pathology, University of Arkansas, Fayetteville, AR 72701 USA
| | - Pengyin Chen
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri-Columbia, Columbia, MO 65211 USA
- Fisher Delta Research Center, University of Missouri, Portageville, MO 63873 USA
| | - Dechun Wang
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824 USA
| | - Henry T. Nguyen
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri-Columbia, Columbia, MO 65211 USA
| |
Collapse
|
8
|
Jiang H, Jia H, Hao X, Li K, Gai J. Mapping Locus R SC11K and predicting candidate gene resistant to Soybean mosaic virus strain SC11 through linkage analysis combined with genome resequencing of the parents in soybean. Genomics 2022; 114:110387. [PMID: 35569732 DOI: 10.1016/j.ygeno.2022.110387] [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: 10/21/2021] [Revised: 04/29/2022] [Accepted: 05/07/2022] [Indexed: 11/26/2022]
Abstract
Soybean mosaic virus (SMV) strain SC11 was prevalent in middle China. Its resistance was controlled by a Mendelian single dominant gene RSC11K in soybean Kefeng-1. This study aimed at mapping RSC11K and identifying its candidate gene. RSC11K locus was mapped ~217 kb interval between two SNP-linkage-disequilibrium-blocks (Gm02_BLOCK_11273955_11464884 and Gm02_BLOCK_11486875_11491354) in W82.a1.v1 genome using recombinant inbred lines population derived from Kefeng-1 (Resistant) × NN1138-2 (Susceptible), but inserted with a ~245 kb segment in W82.a2.v1 genome. In the entire 462 kb RSC11K region, 429 SNPs, 142 InDels and 34 putative genes were identified with more SNPs/InDels distributed in non-functional regions. Thereinto, ten genes contained SNP/InDel variants with high and moderate functional impacts on proteins, among which Glyma.02G119700 encoded a typical innate immune receptor-like kinase involving in virus disease process and responded to SMV inoculation, therefore was recognized as RSC11K's candidate gene. The novel RSC11K locus and candidate genes may help developing SMV resistance germplasm.
Collapse
Affiliation(s)
- Hua Jiang
- Soybean Research Institute & MARA National Center for Soybean Improvement & MARA Key Laboratory of Biology and Genetic Improvement of Soybean (General) & State Key Laboratory for Crop Genetics and Germplasm Enhancement & Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Huiying Jia
- Soybean Research Institute & MARA National Center for Soybean Improvement & MARA Key Laboratory of Biology and Genetic Improvement of Soybean (General) & State Key Laboratory for Crop Genetics and Germplasm Enhancement & Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Xiaoshuai Hao
- Soybean Research Institute & MARA National Center for Soybean Improvement & MARA Key Laboratory of Biology and Genetic Improvement of Soybean (General) & State Key Laboratory for Crop Genetics and Germplasm Enhancement & Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Kai Li
- Soybean Research Institute & MARA National Center for Soybean Improvement & MARA Key Laboratory of Biology and Genetic Improvement of Soybean (General) & State Key Laboratory for Crop Genetics and Germplasm Enhancement & Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Junyi Gai
- Soybean Research Institute & MARA National Center for Soybean Improvement & MARA Key Laboratory of Biology and Genetic Improvement of Soybean (General) & State Key Laboratory for Crop Genetics and Germplasm Enhancement & Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
| |
Collapse
|
9
|
Chen L, Wang W, Ping J, Fitzgerald JC, Cai G, Clark CB, Aggarwal R, Ma J. Identification and molecular mapping of Rps14, a gene conferring broad-spectrum resistance to Phytophthora sojae in soybean. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:3863-3872. [PMID: 34370048 DOI: 10.1007/s00122-021-03933-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 08/02/2021] [Indexed: 06/13/2023]
Abstract
KEY MESSAGE A soybean landrace carries broad-spectrum resistance to Phytophthora sojae, which is conferred by a single gene, designated Rps14, on the short arm of chromosome 3. Phytophthora sojae is the causative agent for Phytophthora root and stem rot in soybean [Glycine max (L.) Merr.] and can be managed by deployment of resistance to P. sojae (Rps) genes. PI 340,029 is a soybean landrace carrying broad-spectrum resistance to the pathogen. Analysis of an F2 population derived from a cross between PI 340,029 and a susceptible cultivar 'Williams' reveals that the resistance to P. sojae race 1 is conferred by a single gene, designated Rps14, which was initially mapped to a 4.5-cM region on the short arm of chromosome 3 by bulked segregant analysis (BSA), and subsequently narrowed to a 1.48 cM region corresponding to 229-kb in the Williams 82 reference genome (Wm82 v2.a1), using F3:4 families derived from the F2 population. Further analysis indicates that the broad-spectrum resistance carried by PI 340,029 is fully attributable to Rps14. The genomic sequences corresponding to the defined Rps14 region from a set of diverse soybean varieties exhibit drastic NBS-LRR gene copy number variation, ranging from 3 to 17 copies. Ultimate isolation of Rps14 would be critical for precise selection and deployment of the gene for soybean protection.
Collapse
Affiliation(s)
- Liyang Chen
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
| | - Weidong Wang
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
| | - Jieqing Ping
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
- Seed Technologies and Analytics, BASF Corporation, Morrisville, NC, 27560, USA
| | - Joshua C Fitzgerald
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
- Virginia Agricultural Research and Extension Centers, Virginia Polytechnic Institute and State University, Warsaw, VA, 22572, USA
| | - Guohong Cai
- Crop Production and Pest Control Research Unit, USDA, ARS, West Lafayette, IN, 47907, USA
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN, 47907, USA
| | - Chancelor B Clark
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
| | - Rajat Aggarwal
- Research and Development, Corteva AgriscienceTM, Johnston, IA, 50131, USA.
| | - Jianxin Ma
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA.
| |
Collapse
|
10
|
Wang J, Mao L, Zeng Z, Yu X, Lian J, Feng J, Yang W, An J, Wu H, Zhang M, Liu L. Genetic mapping high protein content QTL from soybean 'Nanxiadou 25' and candidate gene analysis. BMC PLANT BIOLOGY 2021; 21:388. [PMID: 34416870 PMCID: PMC8377855 DOI: 10.1186/s12870-021-03176-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 08/13/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Soybean is a globally important legume crop that provides a primary source of high-quality vegetable protein and oil. Seed protein content (SPC) is a valuable quality trait controlled by multiple genes in soybean. RESULTS In this study, we performed quantitative trait loci (QTL) mapping, QTL-seq, and RNA sequencing (RNA-seq) to reveal the genes controlling protein content in the soybean by using the high protein content variety Nanxiadou 25. A total of 50 QTL for SPC distributed on 14 chromosomes except chromosomes 4, 12, 14, 17, 18, and 19 were identified by QTL mapping using 178 recombinant inbred lines (RILs). Among these QTL, the major QTL qSPC_20-1 and qSPC_20-2 on chromosome 20 were repeatedly detected across six tested environments, corresponding to the location of the major QTL detected using whole-genome sequencing-based QTL-seq. 329 candidate DEGs were obtained within the QTL region of qSPC_20-1 and qSPC_20-2 via gene expression profile analysis. Nine of which were associated with SPC, potentially representing candidate genes. Clone sequencing results showed that different single nucleotide polymorphisms (SNPs) and indels between high and low protein genotypes in Glyma.20G088000 and Glyma.16G066600 may be the cause of changes in this trait. CONCLUSIONS These results provide the basis for research on candidate genes and marker-assisted selection (MAS) in soybean breeding for seed protein content.
Collapse
Affiliation(s)
- Jia Wang
- Nanchong Academy of Agricultural Sciences, Nanchong, 637000, Sichuan, China.
- Southwest University, Chongqing, 400715, China.
| | - Lin Mao
- Southwest University, Chongqing, 400715, China
| | - Zhaoqiong Zeng
- Nanchong Academy of Agricultural Sciences, Nanchong, 637000, Sichuan, China
| | - Xiaobo Yu
- Nanchong Academy of Agricultural Sciences, Nanchong, 637000, Sichuan, China
| | - Jianqiu Lian
- Nanchong Academy of Agricultural Sciences, Nanchong, 637000, Sichuan, China
| | - Jun Feng
- Nanchong Academy of Agricultural Sciences, Nanchong, 637000, Sichuan, China
| | - Wenying Yang
- Nanchong Academy of Agricultural Sciences, Nanchong, 637000, Sichuan, China
| | - Jiangang An
- Nanchong Academy of Agricultural Sciences, Nanchong, 637000, Sichuan, China
| | - Haiying Wu
- Nanchong Academy of Agricultural Sciences, Nanchong, 637000, Sichuan, China
| | - Mingrong Zhang
- Nanchong Academy of Agricultural Sciences, Nanchong, 637000, Sichuan, China.
| | - Liezhao Liu
- Southwest University, Chongqing, 400715, China.
| |
Collapse
|
11
|
Matsuoka JI, Takahashi M, Yamada T, Kono Y, Yamada N, Takahashi K, Moriwaki J, Akamatsu H. Identification of three closely linked loci conferring broad-spectrum Phytophthora sojae resistance in soybean variety Tosan-231. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:2151-2165. [PMID: 33792774 DOI: 10.1007/s00122-021-03813-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 03/10/2021] [Indexed: 06/12/2023]
Abstract
KEY MESSAGE A variable genomic region containing two Harosoy-derived loci related to Rps7 and one Nemashirazu-derived locus confers broad-spectrum Phytophthora sojae resistance in Tosan-231 and is useful for developing resistant cultivars. We investigated resistance to pathotypically variable Phytophthora sojae isolates in the soybean variety Tosan-231, which has broad-spectrum resistance. Mapping analysis using descendent lines from a cross between Shuurei and Tosan-231 demonstrated that a genomic region between SSR markers BARCSOYSSR_03_0209 and BARCSOYSSR_03_0385 (termed "Region T"), confers broad-spectrum resistance in Tosan-231 and contains three closely linked resistance loci. Inoculation tests with 20 P. sojae isolates of different pathotypes and simple sequence repeat (SSR) analysis of progenitors of Tosan-231 facilitated identification and characterization of Rps genes at the three resistance loci. Two resistance genes, RpsT1 and RpsT2, were found to be derived from Harosoy carrying Rps7. This result suggested two mutually exclusive possibilities: (1) either RpsT1 or RpsT2 is Rps7, and the other is a locally functional novel gene; (2) Rps7 is not a single gene but in fact comprises RpsT1 and RpsT2. The resistance locus containing RpsT3 is derived from Nemashirazu, in which Rps genes have remained poorly defined. Moreover, we identified two genomic regions with relatively high recombination frequencies on the basis of mapping information and proposed a strategy to readily assemble useful resistance genes in or around Region T.
Collapse
Affiliation(s)
- Jun-Ichi Matsuoka
- Hokuriku Research Center, Central Region Agricultural Research Center, National Agriculture and Food Research Organization (NARO), 1-2-1 Inada, Joetsu, Niigata, 943-0193, Japan.
| | - Mami Takahashi
- Hokuriku Research Center, Central Region Agricultural Research Center, National Agriculture and Food Research Organization (NARO), 1-2-1 Inada, Joetsu, Niigata, 943-0193, Japan
| | - Tetsuya Yamada
- Institute of Crop Science, NARO, 3-1-3 Kannondai, Tsukuba, Ibaraki, 305-8604, Japan
| | - Yuhi Kono
- Hokuriku Research Center, Central Region Agricultural Research Center, National Agriculture and Food Research Organization (NARO), 1-2-1 Inada, Joetsu, Niigata, 943-0193, Japan
| | - Naohiro Yamada
- Nagano Vegetable and Ornamental Crops Experiment Station, 1066-1 Souga, Shiojiri, Nagano, 399-646, Japan
- , Nagano Agricultural Experiment Station, 492 Ogawara, Suzaka, Nagano, 382-0072, Japan
| | - Koji Takahashi
- Institute of Crop Science, NARO, 3-1-3 Kannondai, Tsukuba, Ibaraki, 305-8604, Japan
| | - Jouji Moriwaki
- Kyushu Okinawa Agricultural Research Center, NARO, 1823-1 Miimachi, Kurume, Fukuoka, 839-8503, Japan
| | - Hajime Akamatsu
- Hokuriku Research Center, Central Region Agricultural Research Center, National Agriculture and Food Research Organization (NARO), 1-2-1 Inada, Joetsu, Niigata, 943-0193, Japan
- Business Promotion Office, Department of Regional Strategy, Central Region Agricultural Research Center, National Agriculture and Food Research Organization (NARO), C/O Institute of Vegetable and Floriculture Science, NARO, 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan
| |
Collapse
|
12
|
Sun J, Wang J, Guo W, Yin T, Zhang S, Wang L, Xie D, Zou D. Identification of alkali-tolerant candidate genes using the NGS-assisted BSA strategy in rice. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2021; 41:44. [PMID: 37309384 PMCID: PMC10236117 DOI: 10.1007/s11032-021-01228-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 05/03/2021] [Indexed: 06/14/2023]
Abstract
Rice (Oryza sativa L.) is a saline-alkali-sensitive crop. Saline-alkali environments can seriously affect the growth, development, and yield of rice. The mechanisms of salt tolerance and alkali tolerance in rice are different; thus, it is very important to study and explore the alkali-tolerant gene loci to improve the saline-alkali tolerance of rice varieties. In this study, the japonica rice varieties Dongnong 425 (DN425) and Changbai 10 (CB10) and a hybridized recombinant inbred line (RIL) population were used as materials to be irrigated with Na2CO3 solution under field test conditions. A resistant pool (R-pool) and a sensitive pool (S-pool) were constructed by selecting the lines with extremely high and extremely low 1000-grain weight (TGW), respectively, from the RIL population under alkali treatment. Four candidate TGW regions on chromosomes (Chr.) 2 and 3 were associated using the bulked segregant analysis (BSA) strategy assisted by next-generation sequencing (NGS) technology (NGS-assisted BSA). Using the linkage analysis, QTL-qATGW2-2 in the candidate region was mapped within a range of 116 Kb between the SSR marker RM13592 and the Indel marker Indel3 of Chr. 2, which contained 18 predictive genes. The BSA sequencing results showed that Os02g39884 contained a nonsynonymous substitution mutation SNP (nsSNP), leading to the transformation of a residue from arginine (cGg) to glutamine (cAg); thus, Os02g39884 was inferred to be the candidate gene of qATGW2-2. The results of the qRT-PCR analysis also confirmed this. This paper provides important information for the rapid and accurate identification of the alkali-tolerant gene loci in rice. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-021-01228-x.
Collapse
Affiliation(s)
- Jian Sun
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Chinese Ministry of Education (Northeast Agricultural University), Harbin, 150030 China
| | - Jingguo Wang
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Chinese Ministry of Education (Northeast Agricultural University), Harbin, 150030 China
| | - Wei Guo
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Chinese Ministry of Education (Northeast Agricultural University), Harbin, 150030 China
| | - Tianjiao Yin
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Chinese Ministry of Education (Northeast Agricultural University), Harbin, 150030 China
| | - Shuli Zhang
- Biotechnology Institute of Heilongjiang Academy of Agricultural Sciences, Harbin, 150086 China
| | - Liang Wang
- Kunming Tobacco Company of Yunnan Province, Kunming, 650051 China
| | - Dongwei Xie
- School of Life Sciences, Nantong University, Nantong, 226019 China
| | - Detang Zou
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Chinese Ministry of Education (Northeast Agricultural University), Harbin, 150030 China
| |
Collapse
|
13
|
Van K, Rolling W, Biyashev RM, Matthiesen RL, Abeysekara NS, Robertson AE, Veney DJ, Dorrance AE, McHale LK, Saghai Maroof MA. Mining germplasm panels and phenotypic datasets to identify loci for resistance to Phytophthora sojae in soybean. THE PLANT GENOME 2021; 14:e20063. [PMID: 33200586 DOI: 10.1002/tpg2.20063] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 09/05/2020] [Indexed: 06/11/2023]
Abstract
Phytophthora sojae causes Phytophthora root and stem rot of soybean and has been primarily managed through deployment of qualitative Resistance to P. sojae genes (Rps genes). The effectiveness of each individual or combination of Rps gene(s) depends on the diversity and pathotypes of the P. sojae populations present. Due to the complex nature of P. sojae populations, identification of more novel Rps genes is needed. In this study, phenotypic data from previous studies of 16 panels of plant introductions (PIs) were analyzed. Panels 1 and 2 consisted of 448 Glycine max and 520 G. soja, which had been evaluated for Rps gene response with a combination of P. sojae isolates. Panels 3 and 4 consisted of 429 and 460 G. max PIs, respectively, which had been evaluated using individual P. sojae isolates with complex virulence pathotypes. Finally, Panels 5-16 (376 G. max PIs) consisted of data deposited in the USDA Soybean Germplasm Collection from evaluations with 12 races of P. sojae. Using these panels, genome-wide association (GWA) analyses were carried out by combining phenotypic and SoySNP50K genotypic data. GWA models identified two, two, six, and seven novel Rps loci with Panels 1, 2, 3, and 4, respectively. A total of 58 novel Rps loci were identified using Panels 5-16. Genetic and phenotypic dissection of these loci may lead to the characterization of novel Rps genes that can be effectively deployed in new soybean cultivars against diverse P. sojae populations.
Collapse
Affiliation(s)
- Kyujung Van
- Department of Horticulture and Crop Science, Ohio State University, Columbus, OH, 43210, USA
| | - William Rolling
- Center for Applied Plant Sciences, Ohio State University, Columbus, OH, 43210, USA
| | - Ruslan M Biyashev
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Rashelle L Matthiesen
- Department of Plant Pathology and Microbiology, Iowa State University, Ames, IA, 50011, USA
| | - Nilwala S Abeysekara
- Department of Plant Pathology and Microbiology, Iowa State University, Ames, IA, 50011, USA
| | - Alison E Robertson
- Department of Plant Pathology and Microbiology, Iowa State University, Ames, IA, 50011, USA
| | - Deloris J Veney
- Department of Plant Pathology, Ohio State University, Wooster, OH, 44691, USA
| | - Anne E Dorrance
- Center for Applied Plant Sciences, Ohio State University, Columbus, OH, 43210, USA
- Department of Plant Pathology, Ohio State University, Wooster, OH, 44691, USA
- Center for Soybean Research, Ohio State University, Wooster, OH, 44691, USA
| | - Leah K McHale
- Department of Horticulture and Crop Science, Ohio State University, Columbus, OH, 43210, USA
- Center for Applied Plant Sciences, Ohio State University, Columbus, OH, 43210, USA
- Center for Soybean Research, Ohio State University, Wooster, OH, 44691, USA
| | - M A Saghai Maroof
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, 24061, USA
| |
Collapse
|
14
|
Cytological Observations and Bulked-Segregant Analysis Coupled Global Genome Sequencing Reveal Two Genes Associated with Pollen Fertility in Tetraploid Rice. Int J Mol Sci 2021; 22:ijms22020841. [PMID: 33467721 PMCID: PMC7830325 DOI: 10.3390/ijms22020841] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 01/11/2021] [Accepted: 01/12/2021] [Indexed: 11/17/2022] Open
Abstract
Neo-tetraploid rice with high fertility is a useful germplasm for polyploid rice breeding, which was developed from the crossing of different autotetraploid rice lines. However, little information is available on the molecular mechanism underlying the fertility of neo-tetraploid rice. Here, two contrasting populations of tetraploid rice, including one with high fertility (hereafter referred to as JG) and another with low fertility (hereafter referred to as JD), were generated by crossing Huaduo 3 (H3), a high fertility neo-tetraploid rice that was developed by crossing Jackson-4x with 96025-4x, and Huajingxian74-4x (T452), a low fertility autotetraploid rice parent. Cytological, global genome sequencing-based bulked-segregant (BSA-seq) and CRISPR/Cas9 technology were employed to study the genes associated with pollen fertility in neo-tetraploid rice. The embryo sacs of JG and JD lines were normal; however, pollen fertility was low in JD, which led to scarce fertilization and low seed setting. Cytological observations displayed low pollen fertility (25.1%) and approximately 31.3 and 27.2% chromosome lagging at metaphase I and II, and 28.8 and 24.8% chromosome straggling at anaphase I and II in JD, respectively. BSA-seq of F2–3 generations and RNA-seq of F4 generation detected a common fragment, i.e., 18,915,234–19,500,000, at chromosome 7, which was comprised of 78 genes associated with fertility. Among 78 genes, 9 genes had been known to be involved in meiosis and pollen development. Two mutants ny1 (LOC_Os07g32406) and ny2 (LOC_Os07g32040) were generated by CRISPR/Cas9 knockout in neo-tetraploid rice, and which exhibited low pollen fertility and abnormal chromosome behavior. Our study revealed that two unknown genes, LOC_Os07g32406 (NY1) and LOC_Os07g32040 (NY2) play an important role in pollen development of neo-tetraploid rice and provides a new perspective about the genetic mechanisms of fertility in polyploid rice.
Collapse
|
15
|
Jang IH, Kang IJ, Kim JM, Kang ST, Jang YE, Lee S. Genetic Mapping of a Resistance Locus to Phytophthora sojae in the Korean Soybean Cultivar Daewon. THE PLANT PATHOLOGY JOURNAL 2020; 36:591-599. [PMID: 33312094 PMCID: PMC7721532 DOI: 10.5423/ppj.oa.09.2020.0173] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 10/16/2020] [Accepted: 10/26/2020] [Indexed: 05/19/2023]
Abstract
Phytophthora root and stem rot reduce soybean yields worldwide. The use of R-gene type resistance is currently crucial for protecting soybean production. The present study aimed to identify the genomic location of a gene conferring resistance to Phytophthora sojae isolate 2457 in the recombinant inbred line population developed by a cross of Daepung × Daewon. Single-marker analysis identified 20 single nucleotide polymorphisms associated with resistance to the P. sojae isolate 2457, which explained ~67% of phenotypic variance. Daewon contributed a resistance allele for the locus. This region is a well-known location for Rps1 and Rps7. The present study is the first, however, to identify an Rps gene locus from a major soybean variety cultivated in South Korea. Linkage analysis also identified a 573 kb region on chromosome 3 with high significance (logarithm of odds = 13.7). This genomic region was not further narrowed down due to lack of recombinants within the interval. Based on the latest soybean genome, ten leucine-rich repeat coding genes and four serine/threonine protein kinase-coding genes are annotated in this region, which all are well-known types of genes for conferring disease resistance in crops. These genes would be candidates for molecular characterization of the resistance in further studies. The identified R-gene locus would be useful in developing P. sojae resistant varieties in the future. The results of the present study provide foundational knowledge for researchers who are interested in soybean-P. sojae interaction.
Collapse
Affiliation(s)
- Ik-Hyun Jang
- Department of Crop Science, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 3434, Korea
| | - In Jeong Kang
- Department of Central Area Crop Science, National Institute of Crop Science, Suwon 16613, Korea
| | - Ji-Min Kim
- Department of Crop Science and Biotechnology, College of Bioresource Science, Dankook University, Cheonan 1116, Korea
| | - Sung-Taeg Kang
- Department of Crop Science and Biotechnology, College of Bioresource Science, Dankook University, Cheonan 1116, Korea
| | - Young Eun Jang
- Department of Crop Science, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 3434, Korea
| | - Sungwoo Lee
- Department of Crop Science, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 3434, Korea
- Corresponding author. Phone) +82-42-821-5727 , FAX) +82-42-822-2631, E-mail) , ORCID, Sungwoo Lee, https://orcid.org/0000-0003-3564-236
| |
Collapse
|
16
|
Bohra A, Chand Jha U, Godwin ID, Kumar Varshney R. Genomic interventions for sustainable agriculture. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:2388-2405. [PMID: 32875704 PMCID: PMC7680532 DOI: 10.1111/pbi.13472] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 07/21/2020] [Accepted: 08/16/2020] [Indexed: 05/05/2023]
Abstract
Agricultural production faces a Herculean challenge to feed the increasing global population. Food production systems need to deliver more with finite land and water resources while exerting the least negative influence on the ecosystem. The unpredictability of climate change and consequent changes in pests/pathogens dynamics aggravate the enormity of the challenge. Crop improvement has made significant contributions towards food security, and breeding climate-smart cultivars are considered the most sustainable way to accelerate food production. However, a fundamental change is needed in the conventional breeding framework in order to respond adequately to the growing food demands. Progress in genomics has provided new concepts and tools that hold promise to make plant breeding procedures more precise and efficient. For instance, reference genome assemblies in combination with germplasm sequencing delineate breeding targets that could contribute to securing future food supply. In this review, we highlight key breakthroughs in plant genome sequencing and explain how the presence of these genome resources in combination with gene editing techniques has revolutionized the procedures of trait discovery and manipulation. Adoption of new approaches such as speed breeding, genomic selection and haplotype-based breeding could overcome several limitations of conventional breeding. We advocate that strengthening varietal release and seed distribution systems will play a more determining role in delivering genetic gains at farmer's field. A holistic approach outlined here would be crucial to deliver steady stream of climate-smart crop cultivars for sustainable agriculture.
Collapse
Affiliation(s)
- Abhishek Bohra
- ICAR‐Indian Institute of Pulses Research (IIPR)KanpurIndia
| | - Uday Chand Jha
- ICAR‐Indian Institute of Pulses Research (IIPR)KanpurIndia
| | - Ian D. Godwin
- Centre for Crop ScienceQueensland Alliance for Agriculture and Food Innovation (QAAFI)The University of QueenslandBrisbaneQldAustralia
| | - Rajeev Kumar Varshney
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
- The UWA Institute of AgricultureThe University of Western AustraliaPerthAustralia
| |
Collapse
|
17
|
Zeng W, Shi J, Qiu C, Wang Y, Rehman S, Yu S, Huang S, He C, Wang W, Chen H, Chen C, Wang C, Tao Z, Li P. Identification of a genomic region controlling thermotolerance at flowering in maize using a combination of whole genomic re-sequencing and bulked segregant analysis. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:2797-2810. [PMID: 32535640 DOI: 10.1007/s00122-020-03632-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 06/02/2020] [Indexed: 06/11/2023]
Abstract
A novel genomic region controlling thermotolerance at flowering was identified by the combination of whole genomic re-sequencing and bulked segregant analysis in maize. The increasing frequency of extreme high temperature has brought a great threat to the development of maize throughout its life cycle, especially during the flowering phase. However, the genetic basis of thermotolerance at flowering in maize remains poorly understood. Here, we characterized a thermotolerant maize ecotype Abe2 and dissected its genetic basis using a F2:8 recombinant inbred line (RIL) population generated from a cross between Abe2 and B73. After continuous high temperature stress above 35 °C for 17 days, Abe2 and B73 show distinct leaf scorching phenotype under field conditions. To identify the genomic regions associated with the phenotypic variation, we applied a combination of whole genomic re-sequencing and bulked segregant analysis, and revealed 10,316,744 SNPs and 1,488,302 InDels between the two parental lines, and 2,693,054 SNPs and 313,757 InDels between the two DNA pools generated from the thermos-tolerant and the sensitive individuals of the RIL, of which, 108,655 and 17,853 SNPs may cause nonsynonymous variations. Finally, a 7.41 Mb genomic region on chromosome 1 was identified, and 7 candidate genes were annotated to participate in high temperature-related stress response. A candidate gene Zm00001d033339 encoding a serine/threonine protein kinase was proposed to be the most likely causative gene contributing to the thermotolerance at flowering by involving in stomatal movement (GO: 0010119) via Abscisic acid (ABA) pathway (KO04075). This work could provide an opportunity for gene cloning and pyramiding breeding to improve thermotolerance at flowering in maize.
Collapse
Affiliation(s)
- Wei Zeng
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Jian Shi
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Chunhong Qiu
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Yunhe Wang
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Shamsur Rehman
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Shuaishuai Yu
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Shijie Huang
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Chen He
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Wanyi Wang
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Hongyi Chen
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Chen Chen
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Chuanhong Wang
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Zhen Tao
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Peijin Li
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.
| |
Collapse
|
18
|
Zhong C, Sun S, Zhang X, Duan C, Zhu Z. Fine Mapping, Candidate Gene Identification and Co-segregating Marker Development for the Phytophthora Root Rot Resistance Gene RpsYD25. Front Genet 2020; 11:799. [PMID: 32849803 PMCID: PMC7399351 DOI: 10.3389/fgene.2020.00799] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 07/03/2020] [Indexed: 12/18/2022] Open
Abstract
Phytophthora root rot (PRR) caused by Phytophthora sojae is a serious disease of soybean. The most effective disease-control strategy is to deploy resistant cultivars carrying Rps genes. Soybean cultivar Yudou25 can effectively resist pathotypes of P. sojae in China. Previous studies have mapped the Rps gene in Yudou25, RpsYD25, on chromosome 3. In this study, at first RpsYD25 was located between SSR markers Satt1k3 (2.2 cM) and BARCSOYSSR_03_0253 (4.5 cM) by using an F2:3 population containing 165 families derived from Zaoshu18 and Yudou25. Then the recombination sites were identified in 1127 F3:4 families derived from Zaoshu18 and Yudou25 using the developed PCR-based SNP, InDel and SSR markers, and RpsYD25 was finely mapped in the a 101.3 kb genomic region. In this region, a zinc ion binding and nucleic acid binding gene Glyma.03g034700 and two NBS-LRR genes Glyma.03g034800 and Glyma.03g034900 were predicted as candidate genes of RpsYD25, and five co-segregated SSR markers with RpsYD25 were identified and validated to be diagnostic markers. Combined with the resistance reaction to multiple P. sojae isolates, seven of 178 soybean genotypes were detected to contain RpsYD25 using the five co-segregated SSR markers. The soybean genotypes carrying RpsYD25 and the developed co-segregated markers can be effectively applied in the breeding for P. sojae resistance in China.
Collapse
Affiliation(s)
- Chao Zhong
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.,College of Agronomy, Shenyang Agricultural University, Shenyang, China
| | - Suli Sun
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xuecui Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Canxing Duan
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhendong Zhu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| |
Collapse
|
19
|
Jaganathan D, Bohra A, Thudi M, Varshney RK. Fine mapping and gene cloning in the post-NGS era: advances and prospects. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1791-1810. [PMID: 32040676 PMCID: PMC7214393 DOI: 10.1007/s00122-020-03560-w] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 01/29/2020] [Indexed: 05/18/2023]
Abstract
Improvement in traits of agronomic importance is the top breeding priority of crop improvement programs. Majority of these agronomic traits show complex quantitative inheritance. Identification of quantitative trait loci (QTLs) followed by fine mapping QTLs and cloning of candidate genes/QTLs is central to trait analysis. Advances in genomic technologies revolutionized our understanding of genetics of complex traits, and genomic regions associated with traits were employed in marker-assisted breeding or cloning of QTLs/genes. Next-generation sequencing (NGS) technologies have enabled genome-wide methodologies for the development of ultra-high-density genetic linkage maps in different crops, thus allowing placement of candidate loci within few kbs in genomes. In this review, we compare the marker systems used for fine mapping and QTL cloning in the pre- and post-NGS era. We then discuss how different NGS platforms in combination with advanced experimental designs have improved trait analysis and fine mapping. We opine that efficient genotyping/sequencing assays may circumvent the need for cumbersome procedures that were earlier used for fine mapping. A deeper understanding of the trait architectures of agricultural significance will be crucial to accelerate crop improvement.
Collapse
Affiliation(s)
- Deepa Jaganathan
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
- Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University (TNAU), Coimbatore, India
| | - Abhishek Bohra
- Crop Improvement Division, ICAR-Indian Institute of Pulses Research (IIPR), Kanpur, India
| | - Mahendar Thudi
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.
| | - Rajeev K Varshney
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.
| |
Collapse
|
20
|
Li MW, Wang Z, Jiang B, Kaga A, Wong FL, Zhang G, Han T, Chung G, Nguyen H, Lam HM. Impacts of genomic research on soybean improvement in East Asia. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1655-1678. [PMID: 31646364 PMCID: PMC7214498 DOI: 10.1007/s00122-019-03462-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 10/15/2019] [Indexed: 05/10/2023]
Abstract
It has been commonly accepted that soybean domestication originated in East Asia. Although East Asia has the historical merit in soybean production, the USA has become the top soybean producer in the world since 1950s. Following that, Brazil and Argentina have been the major soybean producers since 1970s and 1990s, respectively. China has once been the exporter of soybean to Japan before 1990s, yet she became a net soybean importer as Japan and the Republic of Korea do. Furthermore, the soybean yield per unit area in East Asia has stagnated during the past decade. To improve soybean production and enhance food security in these East Asian countries, much investment has been made, especially in the breeding of better performing soybean germplasms. As a result, China, Japan, and the Republic of Korea have become three important centers for soybean genomic research. With new technologies, the rate and precision of the identification of important genomic loci associated with desired traits from germplasm collections or mutants have increased significantly. Genome editing on soybean is also becoming more established. The year 2019 marked a new era for crop genome editing in the commercialization of the first genome-edited plant product, which is a high-oleic-acid soybean oil. In this review, we have summarized the latest developments in soybean breeding technologies and the remarkable progress in soybean breeding-related research in China, Japan, and the Republic of Korea.
Collapse
Affiliation(s)
- Man-Wah Li
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Zhili Wang
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Bingjun Jiang
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081 China
| | - Akito Kaga
- Soybean and Field Crop Applied Genomics Research Unit, Institute of Crop Science, National Agriculture and Food Research Organization, Kannondai 2-1-2, Tsukuba, Ibaraki 305-8518 Japan
| | - Fuk-Ling Wong
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Guohong Zhang
- Institute of Dryland Agriculture, Gansu Academy of Agricultural Sciences, Key Laboratory of Northwest Drought Crop Cultivation of Chinese Ministry of Agriculture, Lanzhou, 730070 China
| | - Tianfu Han
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081 China
| | - Gyuhwa Chung
- Department of Biotechnology, Chonnam National University, Yeosu, Chonnam 59626 Korea
| | - Henry Nguyen
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO USA
| | - Hon-Ming Lam
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| |
Collapse
|
21
|
Jiang B, Cheng Y, Cai Z, Li M, Jiang Z, Ma R, Yuan Y, Xia Q, Nian H. Fine mapping of a Phytophthora-resistance locus RpsGZ in soybean using genotyping-by-sequencing. BMC Genomics 2020; 21:280. [PMID: 32245402 PMCID: PMC7126358 DOI: 10.1186/s12864-020-6668-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 03/12/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Phytophthora root rot (PRR) caused by Phytophthora sojae (P. sojae) is one of the most serious limitations to soybean production worldwide. The identification of resistance gene(s) and their incorporation into elite varieties is an effective approach for breeding to prevent soybean from being harmed by this disease. A valuable mapping population of 228 F8:11 recombinant inbred lines (RILs) derived from a cross of the resistant cultivar Guizao1 and the susceptible cultivar BRSMG68 and a high-density genetic linkage map with an average distance of 0.81 centimorgans (cM) between adjacent bin markers in this population were used to map and explore candidate gene(s). RESULTS PRR resistance in Guizao1 was found to be controlled by a single Mendelian locus and was finely mapped to a 367.371-kb genomic region on chromosome 3 harbouring 19 genes, including 7 disease resistance (R)-like genes, in the reference Willliams 82 genome. Quantitative real-time PCR assays of possible candidate genes revealed that Glyma.03 g05300 was likely involved in PRR resistance. CONCLUSIONS These findings from the fine mapping of a novel Rps locus will serve as a basis for the cloning and transfer of resistance genes in soybean and the breeding of P. sojae-resistant soybean cultivars through marker-assisted selection.
Collapse
Affiliation(s)
- Bingzhi Jiang
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 People’s Republic of China
| | - Yanbo Cheng
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
| | - Zhandong Cai
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
| | - Mu Li
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
| | - Ze Jiang
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
| | - Ruirui Ma
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
| | - Yeshan Yuan
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
| | - Qiuju Xia
- Beijing Genomics Institute (BGI) Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083 People’s Republic of China
| | - Hai Nian
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong 510642 People’s Republic of China
| |
Collapse
|
22
|
Luo H, Pandey MK, Zhi Y, Zhang H, Xu S, Guo J, Wu B, Chen H, Ren X, Zhou X, Chen Y, Chen W, Huang L, Liu N, Sudini HK, Varshney RK, Lei Y, Liao B, Jiang H. Discovery of two novel and adjacent QTLs on chromosome B02 controlling resistance against bacterial wilt in peanut variety Zhonghua 6. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1133-1148. [PMID: 31980836 PMCID: PMC7064456 DOI: 10.1007/s00122-020-03537-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 01/03/2020] [Indexed: 05/09/2023]
Abstract
Two novel and adjacent genomics and candidate genes for bacterial wilt resistance were identified on chromosome B02 in peanut variety Zhonghua 6 using both traditional QTL mapping and QTL-seq methods. Peanut (Arachis hypogaea) is an important oilseed crop worldwide. Utilization of genetic resistance is the most economic and effective approach to control bacterial wilt, one of the most devastating plant diseases, in peanut production. To accelerate the genetic improvement of bacterial wilt resistance (BWR) in peanut breeding programs, quantitative trait locus (QTL) mapping has been conducted for two resistant varieties. In this context, we deployed linkage mapping as well as sequencing-based mapping approach, QTL-seq, to identify genomic regions and candidate genes for BWR in another highly resistant variety Zhonghua 6. The recombination inbred line population (268 progenies) from the cross Xuhua 13 × Zhonghua 6 was used in BWR evaluation across five environments. QTL mapping using both SSR- and SNP-based genetic maps identified a stable QTL (qBWRB02-1) on chromosome B02 with 37.79-78.86% phenotypic variation explained (PVE) across five environments. The QTL-seq facilitated further dissection of qBWRB02-1 into two adjacent genomic regions, qBWRB02-1-1 (2.81-4.24 Mb) and qBWRB02-1-2 (6.54-8.75 Mb). Mapping of newly developed Kompetitive allele-specific PCR (KASP) markers on the genetic map confirmed their stable expressions across five environments. The effects of qBWRB02-1-1 (49.43-68.86% PVE) were much higher than qBWRB02-1-2 (3.96-6.48% PVE) and other previously reported QTLs. Nineteen putative candidate genes affected by 49 non-synonymous SNPs were identified for qBWRB02-1-1, and ten of them were predicted to code for disease resistance proteins. The major and stable QTL qBWRB02-1-1 and validated KASP markers could be deployed in genomics-assisted breeding (GAB) to develop improved peanut varieties with enhanced BWR.
Collapse
Affiliation(s)
- Huaiyong Luo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Manish K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Ye Zhi
- Angel Yeast Co., Ltd, Yichang, 443003, Hubei, China
| | - Huan Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Siliang Xu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Jianbin Guo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Bei Wu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Haiwen Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Xiaoping Ren
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Xiaojing Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Weigang Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Li Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Nian Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Hari K Sudini
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
| |
Collapse
|
23
|
Zhang J, Panthee DR. PyBSASeq: a simple and effective algorithm for bulked segregant analysis with whole-genome sequencing data. BMC Bioinformatics 2020; 21:99. [PMID: 32143574 PMCID: PMC7060572 DOI: 10.1186/s12859-020-3435-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 02/28/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Bulked segregant analysis (BSA), coupled with next-generation sequencing, allows the rapid identification of both qualitative and quantitative trait loci (QTL), and this technique is referred to as BSA-Seq here. The current SNP index method and G-statistic method for BSA-Seq data analysis require relatively high sequencing coverage to detect significant single nucleotide polymorphism (SNP)-trait associations, which leads to high sequencing cost. RESULTS We developed a simple and effective algorithm for BSA-Seq data analysis and implemented it in Python; the program was named PyBSASeq. Using PyBSASeq, the significant SNPs (sSNPs), SNPs likely associated with the trait, were identified via Fisher's exact test, and then the ratio of the sSNPs to total SNPs in a chromosomal interval was used to detect the genomic regions that condition the trait of interest. The results obtained this way are similar to those generated via the current methods, but with more than five times higher sensitivity. This approach was termed the significant SNP method here. CONCLUSIONS The significant SNP method allows the detection of SNP-trait associations at much lower sequencing coverage than the current methods, leading to ~ 80% lower sequencing cost and making BSA-Seq more accessible to the research community and more applicable to the species with a large genome.
Collapse
Affiliation(s)
- Jianbo Zhang
- Department of Horticultural Science, North Carolina State University, Mountain Horticultural Crops Research and Extension Center, 455 Research Drive, Mills River, NC, 28759, USA.
| | - Dilip R Panthee
- Department of Horticultural Science, North Carolina State University, Mountain Horticultural Crops Research and Extension Center, 455 Research Drive, Mills River, NC, 28759, USA.
| |
Collapse
|
24
|
Cui X, Yan Q, Gan S, Xue D, Wang H, Xing H, Zhao J, Guo N. GmWRKY40, a member of the WRKY transcription factor genes identified from Glycine max L., enhanced the resistance to Phytophthora sojae. BMC PLANT BIOLOGY 2019; 19:598. [PMID: 31888478 PMCID: PMC6937711 DOI: 10.1186/s12870-019-2132-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 11/12/2019] [Indexed: 05/18/2023]
Abstract
BACKGROUND The WRKY proteins are a superfamily of transcription factors and members play essential roles in the modulation of diverse physiological processes, such as growth, development, senescence and response to biotic and abiotic stresses. However, the biological roles of the majority of the WRKY family members remains poorly understood in soybean relative to the research progress in model plants. RESULTS In this study, we identified and characterized GmWRKY40, which is a group IIc WRKY gene. Transient expression analysis revealed that the GmWRKY40 protein is located in the nucleus of plant cells. Expression of GmWRKY40 was strongly induced in soybean following infection with Phytophthora sojae, or treatment with methyl jasmonate, ethylene, salicylic acid, and abscisic acid. Furthermore, soybean hairy roots silencing GmWRKY40 enhanced susceptibility to P. sojae infection compared with empty vector transgenic roots. Moreover, suppression of GmWRKY40 decreased the accumulation of reactive oxygen species (ROS) and modified the expression of several oxidation-related genes. Yeast two-hybrid experiment combined with RNA-seq analysis showed that GmWRKY40 interacted with 8 JAZ proteins with or without the WRKY domain or zinc-finger domain of GmWRKY40, suggesting there were different interaction patterns among these interacted proteins. CONCLUSIONS Collectively, these results suggests that GmWRKY40 functions as a positive regulator in soybean plants response to P. sojae through modulating hydrogen peroxide accumulation and JA signaling pathway.
Collapse
Affiliation(s)
- Xiaoxia Cui
- 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
| | - Qiang Yan
- 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
| | - Shuping Gan
- 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
| | - Dong Xue
- 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
| | - Haitang Wang
- 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
| | - Han Xing
- 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
| | - Jinming 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
| | - Na Guo
- 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
| |
Collapse
|
25
|
Zhebentyayeva TN, Sisco PH, Georgi LL, Jeffers SN, Perkins MT, James JB, Hebard FV, Saski C, Nelson CD, Abbott AG. Dissecting Resistance to Phytophthora cinnamomi in Interspecific Hybrid Chestnut Crosses Using Sequence-Based Genotyping and QTL Mapping. PHYTOPATHOLOGY 2019; 109:1594-1604. [PMID: 31287366 DOI: 10.1094/phyto-11-18-0425-r] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
The soilborne oomycete Phytophthora cinnamomi-which causes root rot, trunk cankers, and stem lesions on an estimated 5,000 plant species worldwide-is a lethal pathogen of American chestnut (Castanea dentata) as well as many other woody plant species. P. cinnamomi is particularly damaging to chestnut and chinquapin trees (Castanea spp.) in the southern portion of its native range in the United States due to relatively mild climatic conditions that are conductive to disease development. Introduction of resistant genotypes is the most practical solution for disease management in forests because treatment with fungicides and eradication of the pathogen are neither practical nor economically feasible in natural ecosystems. Using backcross families derived from crosses of American chestnuts with two resistant Chinese chestnut cultivars Mahogany and Nanking, we constructed linkage maps and identified quantitative trait loci (QTLs) for resistance to P. cinnamomi that had been introgressed from these Chinese chestnut cultivars. In total, 957 plants representing five cohorts of three hybrid crosses were genotyped by sequencing and phenotyped by standardized inoculation and visual examination over a 6-year period from 2011 to 2016. Eight parental linkage maps comprising 7,715 markers were constructed, and 17 QTLs were identified on four linkage groups (LGs): LG_A, LG_C, LG_E, and LG_K. The most consistent QTLs were detected on LG_E in seedlings from crosses with both 'Mahogany' and 'Nanking' and LG_K in seedlings from 'Mahogany' crosses. Two consistent large and medium effect QTLs located ∼10 cM apart were present in the middle and at the lower end of LG_E; other QTLs were considered to have small effects. These results imply that the genetic architecture of resistance to P. cinnamomi in Chinese chestnut × American chestnut hybrid progeny may resemble the P. sojae-soybean pathosystem, with a few dominant QTLs along with quantitatively inherited partial resistance conferred by multiple small-effect QTLs.
Collapse
Affiliation(s)
- Tetyana N Zhebentyayeva
- Department of Ecosystem Science and Management, The Pennsylvania State University, University Park, PA 16802
- Clemson University Genomics and Computational Biology Laboratory, Clemson, SC 29634
| | - Paul H Sisco
- Meadowview Research Farms, The American Chestnut Foundation, Meadowview, VA 24361
| | - Laura L Georgi
- Meadowview Research Farms, The American Chestnut Foundation, Meadowview, VA 24361
| | - Steven N Jeffers
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634
| | - M Taylor Perkins
- Department of Biology, Geology, and Environmental Science, University of Tennessee at Chattanooga, Chattanooga, TN 37403
| | | | - Frederick V Hebard
- Meadowview Research Farms, The American Chestnut Foundation, Meadowview, VA 24361
| | - Christopher Saski
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634
| | - C Dana Nelson
- Southern Institute of Forest Genetics, Southern Research Station, U.S. Department of Agriculture Forest Service, Saucier, MS 39574
- Forest Health Research and Education Center, University of Kentucky, Lexington, KY 40546
| | - Albert G Abbott
- Forest Health Research and Education Center, University of Kentucky, Lexington, KY 40546
| |
Collapse
|
26
|
Luo H, Pandey MK, Khan AW, Guo J, Wu B, Cai Y, Huang L, Zhou X, Chen Y, Chen W, Liu N, Lei Y, Liao B, Varshney RK, Jiang H. Discovery of genomic regions and candidate genes controlling shelling percentage using QTL-seq approach in cultivated peanut (Arachis hypogaea L.). PLANT BIOTECHNOLOGY JOURNAL 2019; 17:1248-1260. [PMID: 30549165 PMCID: PMC6576108 DOI: 10.1111/pbi.13050] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 11/27/2018] [Accepted: 11/28/2018] [Indexed: 05/12/2023]
Abstract
Cultivated peanut (Arachis hypogaea L.) is an important grain legume providing high-quality cooking oil, rich proteins and other nutrients. Shelling percentage (SP) is the 2nd most important agronomic trait after pod yield and this trait significantly affects the economic value of peanut in the market. Deployment of diagnostic markers through genomics-assisted breeding (GAB) can accelerate the process of developing improved varieties with enhanced SP. In this context, we deployed the QTL-seq approach to identify genomic regions and candidate genes controlling SP in a recombinant inbred line population (Yuanza 9102 × Xuzhou 68-4). Four libraries (two parents and two extreme bulks) were constructed and sequenced, generating 456.89-790.32 million reads and achieving 91.85%-93.18% genome coverage and 14.04-21.37 mean read depth. Comprehensive analysis of two sets of data (Yuanza 9102/two bulks and Xuzhou 68-4/two bulks) using the QTL-seq pipeline resulted in discovery of two overlapped genomic regions (2.75 Mb on A09 and 1.1 Mb on B02). Nine candidate genes affected by 10 SNPs with non-synonymous effects or in UTRs were identified in these regions for SP. Cost-effective KASP (Kompetitive Allele-Specific PCR) markers were developed for one SNP from A09 and three SNPs from B02 chromosome. Genotyping of the mapping population with these newly developed KASP markers confirmed the major control and stable expressions of these genomic regions across five environments. The identified candidate genomic regions and genes for SP further provide opportunity for gene cloning and deployment of diagnostic markers in molecular breeding for achieving high SP in improved varieties.
Collapse
Affiliation(s)
- Huaiyong Luo
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Manish K. Pandey
- Center of Excellence in Genomics & Systems Biology (CEGSB)International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Aamir W. Khan
- Center of Excellence in Genomics & Systems Biology (CEGSB)International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Jianbin Guo
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Bei Wu
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Yan Cai
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Li Huang
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Xiaojing Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Weigang Chen
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Nian Liu
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Rajeev K. Varshney
- Center of Excellence in Genomics & Systems Biology (CEGSB)International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| |
Collapse
|
27
|
Al Amin GM, Kong K, Sharmin RA, Kong J, Bhat JA, Zhao T. Characterization and Rapid Gene-Mapping of Leaf Lesion Mimic Phenotype of spl-1 Mutant in Soybean ( Glycine max (L.) Merr.). Int J Mol Sci 2019; 20:E2193. [PMID: 31058828 PMCID: PMC6539437 DOI: 10.3390/ijms20092193] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 04/19/2019] [Accepted: 04/30/2019] [Indexed: 01/08/2023] Open
Abstract
In plants, lesion mimic mutants (LMMs) reveal spontaneous disease-like lesions in the absence of pathogen that constitutes powerful genetic material to unravel genes underlying programmed cell death (PCD), particularly the hypersensitive response (HR). However, only a few LMMs are reported in soybean, and no related gene has been cloned until now. In the present study, we isolated a new LMM named spotted leaf-1 (spl-1) from NN1138-2 cultivar through ethyl methanesulfonate (EMS) treatment. The present study revealed that lesion formation might result from PCD and excessive reactive oxygen species (ROS) accumulation. The chlorophyll content was significantly reduced but antioxidant activities, viz., superoxide dismutase (SOD), peroxidase (POD) and catalase (CAT), as well as the malondialdehyde (MDA) contents, were detected higher in spl-1 than in the wild-type. According to segregation analysis of mutant phenotype in two genetic populations, viz., W82×spl-1 and PI378692×spl-1, the spotted leaf phenotype of spl-1 is controlled by a single recessive gene named lm1. The lm1 locus governing mutant phenotype of spl-1 was first identified in 3.15 Mb genomic region on chromosome 04 through MutMap analysis, which was further verified and fine mapped by simple sequence repeat (SSR) marker-based genetic mapping. Genetic linkage analysis narrowed the genomic region (lm1 locus) for mutant phenotype to a physical distance of ~76.23 kb. By searching against the Phytozome database, eight annotated candidate genes were found within the lm1 region. qRT-PCR expression analysis revealed that, among these eight genes, only Glyma.04g242300 showed highly significant expression levels in wild-type relative to the spl-1 mutant. However, sequencing data of the CDS region showed no nucleotide difference between spl-1 and its wild type within the coding regions of these genes but might be in the non-coding regions such as 5' or 3' UTR. Hence, the data of the present study are in favor of Glyma.04g242300 being the possible candidate genes regulating the mutant phenotype of spl-1. However, further validation is needed to prove this function of the gene as well as its role in PCD, which in turn would be helpful to understand the mechanism and pathways involved in HR disease resistance of soybean.
Collapse
Affiliation(s)
- 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.
- Department of Botany, Jagannath University, Dhaka 1100, Bangladesh.
| | - Keke Kong
- 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.
| | - 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.
| | - Jiejie Kong
- 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.
| | - Javaid Akhter Bhat
- 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.
| |
Collapse
|
28
|
Zhong C, Li Y, Sun S, Duan C, Zhu Z. Genetic Mapping and Molecular Characterization of a Broad-spectrum Phytophthora sojae Resistance Gene in Chinese Soybean. Int J Mol Sci 2019; 20:E1809. [PMID: 31013701 PMCID: PMC6515170 DOI: 10.3390/ijms20081809] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 04/07/2019] [Accepted: 04/09/2019] [Indexed: 01/26/2023] Open
Abstract
Phytophthora root rot (PRR) causes serious annual soybean yield losses worldwide. The most effective method to prevent PRR involves growing cultivars that possess genes conferring resistance to Phytophthora sojae (Rps). In this study, QTL-sequencing combined with genetic mapping was used to identify RpsX in soybean cultivar Xiu94-11 resistance to all P. sojae isolates tested, exhibiting broad-spectrum PRR resistance. Subsequent analysis revealed RpsX was located in the 242-kb genomic region spanning the RpsQ locus. However, a phylogenetic investigation indicated Xiu94-11 carrying RpsX is distantly related to the cultivars containing RpsQ, implying RpsX and RpsQ have different origins. An examination of candidate genes revealed RpsX and RpsQ share common nonsynonymous SNP and a 144-bp insertion in the Glyma.03g027200 sequence encoding a leucine-rich repeat (LRR) region. Glyma.03g027200 was considered to be the likely candidate gene of RpsQ and RpsX. Sequence analyses confirmed that the 144-bp insertion caused by an unequal exchange resulted in two additional LRR-encoding fragments in the candidate gene. A marker developed based on the 144-bp insertion was used to analyze the genetic population and germplasm, and proved to be useful for identifying the RpsX and RpsQ alleles. This study implies that the number of LRR units in the LRR domain may be important for PRR resistance in soybean.
Collapse
Affiliation(s)
- Chao Zhong
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Yinping Li
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
- Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, China.
| | - Suli Sun
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Canxing Duan
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Zhendong Zhu
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| |
Collapse
|
29
|
Zhang K, Wang X, Zhu W, Qin X, Xu J, Cheng C, Lou Q, Li J, Chen J. Complete resistance to powdery mildew and partial resistance to downy mildew in a Cucumis hystrix introgression line of cucumber were controlled by a co-localized locus. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:2229-2243. [PMID: 30078164 DOI: 10.1007/s00122-018-3150-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 07/23/2018] [Indexed: 05/16/2023]
Abstract
Key message A single recessive gene for complete resistance to powdery mildew and a major-effect QTL for partial resistance to downy mildew were co-localized in a Cucumis hystrix introgression line of cucumber. Downy mildew (DM) and powdery mildew (PM) are two major foliar diseases in cucumber. DM resistance (DMR) and PM resistance (PMR) may share common components; however, the genetic relationship between them remains unclear. IL52, a Cucumis hystrix introgression line of cucumber which has been reported to possess DMR, was recently identified to exhibit PMR as well. In this study, a single recessive gene pm for PMR was mapped to an approximately 468-kb region on chromosome 5 with 155 recombinant inbred lines (RILs) and 193 F2 plants derived from the cross between a susceptible line 'changchunmici' and IL52. Interestingly, pm was co-localized with the major-effect DMR QTL dm5.2 confirmed by combining linkage analysis and BSA-seq, which was consistent with the observed linkage of DMR and PMR in IL52. Further, phenotype-genotype correlation analysis of DMR and PMR in the RILs indicated that the co-localized locus pm/dm5.2 confers complete resistance to PM and partial resistance to DM. Seven candidate genes for DMR were identified within dm5.2 by BSA-seq analysis, of which Csa5M622800.1, Csa5M622830.1 and Csa5M623490.1 were also the same candidate genes for PMR. A single nucleotide polymorphism that is present in the 3' untranslated region (3'UTR) of Csa5M622830.1 co-segregated perfectly with PMR. The GATA transcriptional factor gene Csa5M622830.1 may be a likely candidate gene for DMR and PMR. This study has provided a clear evidence for the relationship between DMR and PMR in IL52 and sheds new light on the potential value of IL52 for cucumber DMR and PMR breeding program.
Collapse
Affiliation(s)
- Kaijing Zhang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Weigang Street No. 1, Nanjing, 210095, China
| | - Xing Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Weigang Street No. 1, Nanjing, 210095, China
| | - Wenwei Zhu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Weigang Street No. 1, Nanjing, 210095, China
| | - Xiaodong Qin
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Weigang Street No. 1, Nanjing, 210095, China
| | - Jian Xu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Weigang Street No. 1, Nanjing, 210095, China
| | - Chunyan Cheng
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Weigang Street No. 1, Nanjing, 210095, China
| | - Qunfeng Lou
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Weigang Street No. 1, Nanjing, 210095, China
| | - Ji Li
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Weigang Street No. 1, Nanjing, 210095, China.
| | - Jinfeng Chen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Weigang Street No. 1, Nanjing, 210095, China.
| |
Collapse
|
30
|
Zhong C, Sun S, Yao L, Ding J, Duan C, Zhu Z. Fine Mapping and Identification of a Novel Phytophthora Root Rot Resistance Locus RpsZS18 on Chromosome 2 in Soybean. FRONTIERS IN PLANT SCIENCE 2018; 9:44. [PMID: 29441079 PMCID: PMC5797622 DOI: 10.3389/fpls.2018.00044] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 01/09/2018] [Indexed: 05/19/2023]
Abstract
Phytophthora root rot (PRR) caused by Phytophthora sojae is a major soybean disease that causes severe economic losses worldwide. Using soybean cultivars carrying a Rps resistance gene is the most effective strategy for controlling this disease. We previously detected a novel Phytophthora resistance gene, RpsZS18, on chromosome 2 of the soybean cultivar Zaoshu18. The aim of the present study was to identify and finely map RpsZS18. We used 232 F2:3 families generated from a cross between Zaoshu18 (resistant) and Williams (susceptible) as the mapping population. Simple sequence repeat (SSR) markers distributed on chromosome 2 were used to map RpsZS18. First, 12 SSR markers linked with RpsZS18 were identified by linkage analyses, including two newly developed SSR markers, ZCSSR33 and ZCSSR46, that flanked the gene at distances of 0.9 and 0.5 cM, respectively. Second, PCR-based InDel markers were developed based on sequence differences between the two parents and used to further narrow down the mapping region of RpsZS18 to 71.3 kb. Third, haplotype analyses were carried out in the RpsZS18 region using 14 soybean genotypes with whole-genome resequencing. We detected six genes with unique haplotype sequences in Zaoshu18. Finally, quantitative real-time PCR assays of the six genes revealed an EF-hand calcium-binding domain containing protein encoding gene (Glyma.02g245700), a pfkB carbohydrate kinase encoding gene (Glyma.02g245800), and a gene with no functional annotation (Glyma.02g246300), are putative candidate PRR resistance genes. This study provides useful information for breeding P. sojae-resistant soybean cultivars.
Collapse
Affiliation(s)
- Chao Zhong
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Suli Sun
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Liangliang Yao
- Jiamusi Branch of Heilongjiang Academy of Agricultural Sciences, Jiamusi, China
| | - Junjie Ding
- Jiamusi Branch of Heilongjiang Academy of Agricultural Sciences, Jiamusi, China
| | - Canxing Duan
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhendong Zhu
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| |
Collapse
|