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Teraishi M, Sakaguchi K, Yoshikawa T. Identification of Novel Candidate Genes Associated With the Symbiotic Compatibility of Soybean With Rhizobia Under Natural Conditions. PLANT DIRECT 2025; 9:e70069. [PMID: 40330701 PMCID: PMC12050213 DOI: 10.1002/pld3.70069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 07/24/2024] [Accepted: 03/26/2025] [Indexed: 05/08/2025]
Abstract
A robust symbiotic relationship between soybean and rhizobia can enhance the yield and quality of soybeans by reducing nitrogen fertilizer input, thereby contributing to sustainable agriculture. However, the genetic interplay between soybean cultivars and the rhizobial species colonizing their roots under natural conditions is yet to be sufficiently assessed. In this study, we build on previous observations that have revealed a significant variation in the prevalence of rhizobial species associated with the soybean cultivars "Peking" and "Tamahomare." Using recombinant inbred lines derived from a cross between Peking and Tamahomare, we performed quantitative trait loci (QTL) analysis of the proportion of Rhizobium species present in the root nodules of these cultivars and accordingly identified a major QTL on chromosome 18, accounting for 42% of the phenotypic variation, which was subsequently localized to a 240-kb region. RNA-seq analysis indicated that a single gene harboring nucleotide binding site-leucine-rich repeat domains exhibited markedly different expression within the QTL region in the parent cultivars. As this locus is distinct from the chromosomal regions containing known nodule-related genes, such as Rj and rj, we speculate that it represents a novel gene involved in the symbiosis between rhizobia and soybeans. Further research on the function and role of this new gene could potentially contribute to enhancing soybean yield, and hence sustainable agriculture, under low-nitrogen fertilization conditions.
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Raza MM, Jia H, Razzaq MK, Li B, Li K, Gai J. Identification and functional validation of a new gene conferring resistance to Soybean Mosaic Virus strains SC4 and SC20 in soybean. FRONTIERS IN PLANT SCIENCE 2025; 15:1518829. [PMID: 39935688 PMCID: PMC11811538 DOI: 10.3389/fpls.2024.1518829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2024] [Accepted: 11/27/2024] [Indexed: 02/13/2025]
Abstract
Soybean Mosaic Virus (SMV) poses a serious threat to soybean production, often resulting in considerable yield losses or complete crop failure, particularly if infection occurs during early growth stages. While several SMV resistance genes have been identified, the genetic basis of resistance to certain strains remains poorly understood. Among the 22 SMV strains, SC4 and SC20 are considered pathogenic in Central China. Dominant genes resistant to SC4 (Rsc4) on Chr.14 in Dabaima and to SC20 (Rsc20) on Chr.13 in Qihuang-1 have been identified. Kefeng-1 is resistant to SC4 and SC20. This study aimed to determine whether the resistance to SC4 and SC20 in Kefeng-1 was identical and whether Rsc4 and Rsc20 in Dabaima and Qihuang-1 are also present in Kefeng-1 due to translocation. Mendelian experiments using F1, F2, and recombinant inbred lines (RIL3:8) of Kefeng-1 (resistant) and NN1138-2 (susceptible) indicated a single dominant gene inheritance pattern in SC4 and SC20, respectively. Linkage mapping showed two loci for SC4 and SC20 in neighboring single nucleotide polymorphism linkage disequilibrium blocks (SNPLDB) marker regions of 253 kb and 375 kb, respectively, in Kefeng-1. Association between SNPs in possible gene regions of Kefeng-1 and resistance data showed SNP11692903 jointly as the most significant SNP, exhibiting the highest χ2 value. By comparing SNP11692903 to possible gene sequences in the coding region, Glyma02g13380 was identified as a joint candidate gene. The results were validated using qRT-PCR, virus induced gene silencing (VIGS), and gene-sequence. Therefore, the two Mendelian genes on chromosome 2 in Kefeng-1 responsible for SC4 and SC20 resistance are unique genes, different from Rsc4 in Dabaima and Rsc20 in Qihuang-1. Hence, one gene is involved in resistance toward two SMV strains resistance. This result challenged our previous hypothesis of a single dominant gene responsible for resistance against a single strain and underscored the potential for using multiple resistance sources aimed at enhancing SMV resistance in breeding practices.
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Affiliation(s)
| | | | | | | | - Kai Li
- Soybean Research Institute & MARA National Center for Soybean Improvement & Ministry of Agriculture and Rural Affairs (MARA) Key Laboratory of Biology and Genetic Improvement of Soybean (General) & State Innovation Platform for Integrated Production and Education in Soybean Bio-breeding & State Key Laboratory for Crop Genetics and Germplasm Enhancement & Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - Junyi Gai
- *Correspondence: Kai Li, ; Junyi Gai,
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Stupar RM, Locke AM, Allen DK, Stacey MG, Ma J, Weiss J, Nelson RT, Hudson ME, Joshi T, Li Z, Song Q, Jedlicka JR, MacIntosh GC, Grant D, Parrott WA, Clemente TE, Stacey G, An YC, Aponte‐Rivera J, Bhattacharyya MK, Baxter I, Bilyeu KD, Campbell JD, Cannon SB, Clough SJ, Curtin SJ, Diers BW, Dorrance AE, Gillman JD, Graef GL, Hancock CN, Hudson KA, Hyten DL, Kachroo A, Koebernick J, Libault M, Lorenz AJ, Mahan AL, Massman JM, McGinn M, Meksem K, Okamuro JK, Pedley KF, Rainey KM, Scaboo AM, Schmutz J, Song B, Steinbrenner AD, Stewart‐Brown BB, Toth K, Wang D, Weaver L, Zhang B, Graham MA, O'Rourke JA. Soybean genomics research community strategic plan: A vision for 2024-2028. THE PLANT GENOME 2024; 17:e20516. [PMID: 39572930 PMCID: PMC11628913 DOI: 10.1002/tpg2.20516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 08/09/2024] [Accepted: 08/16/2024] [Indexed: 12/11/2024]
Abstract
This strategic plan summarizes the major accomplishments achieved in the last quinquennial by the soybean [Glycine max (L.) Merr.] genetics and genomics research community and outlines key priorities for the next 5 years (2024-2028). This work is the result of deliberations among over 50 soybean researchers during a 2-day workshop in St Louis, MO, USA, at the end of 2022. The plan is divided into seven traditional areas/disciplines: Breeding, Biotic Interactions, Physiology and Abiotic Stress, Functional Genomics, Biotechnology, Genomic Resources and Datasets, and Computational Resources. One additional section was added, Training the Next Generation of Soybean Researchers, when it was identified as a pressing issue during the workshop. This installment of the soybean genomics strategic plan provides a snapshot of recent progress while looking at future goals that will improve resources and enable innovation among the community of basic and applied soybean researchers. We hope that this work will inform our community and increase support for soybean research.
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Affiliation(s)
- Robert M. Stupar
- Department of Agronomy and Plant GeneticsUniversity of MinnesotaSt. PaulMinnesotaUSA
| | - Anna M. Locke
- USDA‐ARS Soybean & Nitrogen Fixation Research UnitRaleighNorth CarolinaUSA
| | - Doug K. Allen
- USDA‐ARS Donald Danforth Plant Science CenterSt. LouisMissouriUSA
| | - Minviluz G. Stacey
- Division of Plant Science and TechnologyUniversity of MissouriColumbiaMissouriUSA
| | - Jianxin Ma
- Department of AgronomyPurdue UniversityWest LafayetteIndianaUSA
| | - Jackie Weiss
- Smithbucklin for the United Soybean BoardSt. LouisMissouriUSA
| | - Rex T. Nelson
- USDA‐ARS Corn Insects and Crop Genetics Research UnitAmesIowaUSA
| | | | - Trupti Joshi
- Division of Plant Science and TechnologyUniversity of MissouriColumbiaMissouriUSA
- MU Institute for Data Science and InformaticsUniversity of Missouri–ColumbiaColumbiaMissouriUSA
| | - Zenglu Li
- Department of Crop and Soil Sciences, and Institute of Plant Breeding, Genetics and GenomicsUniversity of GeorgiaAthensGeorgiaUSA
| | - Qijian Song
- USDA‐ARS Soybean Genomics and Improvement Laboratory, Beltsville Agricultural Research CenterBeltsvilleMarylandUSA
| | | | - Gustavo C. MacIntosh
- Roy J. Carver Department of Biochemistry, Biophysics and Molecular BiologyIowa State UniversityAmesIowaUSA
| | - David Grant
- USDA‐ARS Corn Insects and Crop Genetics Research UnitAmesIowaUSA
- Department of AgronomyIowa State UniversityAmesIowaUSA
| | - Wayne A. Parrott
- Department of Crop and Soil Sciences, and Institute of Plant Breeding, Genetics and GenomicsUniversity of GeorgiaAthensGeorgiaUSA
- Center for Applied Genetic TechnologiesUniversity of GeorgiaAthensGeorgiaUSA
| | - Tom E. Clemente
- Department of Agronomy & HorticultureUniversity of NebraskaLincolnNebraskaUSA
| | - Gary Stacey
- Division of Plant Science and TechnologyUniversity of MissouriColumbiaMissouriUSA
| | | | | | | | - Ivan Baxter
- Donald Danforth Plant Science CenterSt. LouisMissouriUSA
| | | | | | - Steven B. Cannon
- USDA‐ARS Corn Insects and Crop Genetics Research UnitAmesIowaUSA
| | - Steven J. Clough
- USDA‐ARS Soybean/Maize Germplasm, Pathology and Genetics Research UnitUrbanaIllinoisUSA
| | | | - Brian W. Diers
- Department of Crop SciencesUniversity of IllinoisUrbanaIllinoisUSA
| | - Anne E. Dorrance
- Department of Plant PathologyThe Ohio State UniversityWoosterOhioUSA
| | | | - George L. Graef
- Department of Agronomy & HorticultureUniversity of NebraskaLincolnNebraskaUSA
| | - C. Nathan Hancock
- Department of Biological, Environmental, and Earth SciencesUniversity of South Carolina AikenAikenSouth CarolinaUSA
| | - Karen A. Hudson
- USDA‐ARS Crop Production and Pest Control Research UnitWest LafayetteIndianaUSA
| | - David L. Hyten
- Department of Agronomy & HorticultureUniversity of NebraskaLincolnNebraskaUSA
| | - Aardra Kachroo
- Department of Plant PathologyUniversity of KentuckyLexingtonKentuckyUSA
| | - Jenny Koebernick
- Department of Crop, Soil and Environmental SciencesAuburn UniversityAuburnAlabamaUSA
| | - Marc Libault
- Division of Plant Science and TechnologyUniversity of MissouriColumbiaMissouriUSA
| | - Aaron J. Lorenz
- Department of Agronomy and Plant GeneticsUniversity of MinnesotaSt. PaulMinnesotaUSA
| | - Adam L. Mahan
- USDA‐ARS Soybean/Maize Germplasm, Pathology and Genetics Research UnitUrbanaIllinoisUSA
| | | | - Michaela McGinn
- Smithbucklin for the United Soybean BoardSt. LouisMissouriUSA
| | - Khalid Meksem
- Department of Plant, Soil, and Agricultural SystemsSouthern Illinois UniversityCarbondaleIllinoisUSA
| | - Jack K. Okamuro
- USDA‐ARS Crop Production and ProtectionBeltsvilleMarylandUSA
| | - Kerry F. Pedley
- USDA‐ARS Foreign Disease‐Weed Science Research UnitFt. DetrickMarylandUSA
| | | | - Andrew M. Scaboo
- Division of Plant Science and TechnologyUniversity of MissouriColumbiaMissouriUSA
| | - Jeremy Schmutz
- DOE Joint Genome InstituteLawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA
- HudsonAlpha Institute of BiotechnologyHuntsvilleAlabamaUSA
| | - Bao‐Hua Song
- Department of Biological SciencesUniversity of North Carolina at CharlotteCharlotteNorth CarolinaUSA
| | | | | | | | - Dechun Wang
- Department of Plant, Soil and Microbial SciencesMichigan State UniversityEast LansingMichiganUSA
| | - Lisa Weaver
- Smithbucklin for the United Soybean BoardSt. LouisMissouriUSA
| | - Bo Zhang
- School of Plant and Environmental SciencesVirginia Polytechnic Institute and State UniversityBlacksburgVirginiaUSA
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Kwon JS, Lee J, Shilpha J, Jang H, Kang WH. The landscape of sequence variations between resistant and susceptible hot peppers to predict functional candidate genes against bacterial wilt disease. BMC PLANT BIOLOGY 2024; 24:1036. [PMID: 39482582 PMCID: PMC11529287 DOI: 10.1186/s12870-024-05742-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 10/23/2024] [Indexed: 11/03/2024]
Abstract
BACKGROUND Bacterial wilt (BW), caused by Ralstonia solanacearum (Ral), results in substantial yield losses in pepper crops. Developing resistant pepper varieties through breeding is the most effective strategy for managing BW. To achieve this, a thorough understanding of the genetic information connected with resistance traits is essential. Despite identifying three major QTLs for bacterial wilt resistance in pepper, Bw1 on chromosome 8, qRRs-10.1 on chromosome 10, and pBWR-1 on chromosome 1, the genetic information of related BW pepper varieties has not been sufficiently studied. Here, we resequenced two pepper inbred lines, C. annuum 'MC4' (resistant) and C. annuum 'Subicho' (susceptible), and analyzed genomic variations through SNPs and Indels to identify candidate genes for BW resistance. RESULTS An average of 139.5 Gb was generated among the two cultivars, with coverage ranging from 44.94X to 46.13X. A total of 8,815,889 SNPs was obtained between 'MC4' and 'Subicho'. Among them, 31,190 (0.35%) were non-synonymous SNPs (nsSNPs) corresponding to 10,926 genes, and these genes were assigned to 142 Gene Ontology (GO) terms across the two cultivars. We focused on three known BW QTL regions by identifying genes with sequence variants through gene set enrichment analysis and securing those belonging to high significant GO terms. Additionally, we found 310 NLR genes with nsSNP variants between 'MC4' (R) and 'Subicho' (S) within these regions. Also, we performed an Indel analysis on these genes. By integrating all this data, we identified eight candidate BW resistance genes, including two NLR genes with nsSNPs variations in qRRs-10.1 on chromosome 10. CONCLUSION We identified genomic variations in the form of SNPs and Indels by re-sequencing two pepper cultivars with contrasting traits for bacterial wilt. Specifically, the four genes associated with pBWR-1 and Bw1 that exhibit both nsSNP and Indel variations simultaneously in 'Subicho', along with the two NLR genes linked to qRRs-10.1, which are known for their direct involvement in immune responses, are identified as most likely BW resistance genes. These variants in leading candidate genes associated with BW resistance can be used as important markers for breeding pepper varieties.
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Affiliation(s)
- Ji-Su Kwon
- Department of Horticulture, Division of Applied Life Science (BK21 Four Program), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, 52828, Republic of Korea
| | - Junesung Lee
- Department of Horticulture, Division of Applied Life Science (BK21 Four Program), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, 52828, Republic of Korea
| | - Jayabalan Shilpha
- Department of Horticulture, Division of Applied Life Science (BK21 Four Program), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, 52828, Republic of Korea
| | - Hakgi Jang
- Department of Horticulture, Division of Applied Life Science (BK21 Four Program), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, 52828, Republic of Korea
| | - Won-Hee Kang
- Department of Horticulture, Division of Applied Life Science (BK21 Four Program), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, 52828, Republic of Korea.
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Hancock CN, Germany T, Redd P, Timmons J, Lipford J, Burns S, Cervantes‐Perez SA, Libault M, Shen W, An YC, Kanizay L, Yerka M, Parrott WA. A strategy for identification and characterization of genic mutations using a temperature-sensitive chlorotic soybean mutant as an example. PLANT DIRECT 2024; 8:e70011. [PMID: 39513014 PMCID: PMC11539004 DOI: 10.1002/pld3.70011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 06/21/2024] [Accepted: 09/22/2024] [Indexed: 11/15/2024]
Abstract
Screening a transposon-mutagenized soybean population led to the discovery of a recessively inherited chlorotic phenotype. This "y24" phenotype results in smaller stature, weaker stems, and a smaller root system. Genome sequencing identified 15 candidate genes with mutations likely to result in a loss of function. Amplicon sequencing of a segregating population was then used to narrow the list to a single candidate mutation, a single-base change in Glyma.07G102300 that disrupts splicing of the second intron. Single cell transcriptomic profiling indicates that this gene is expressed primarily in mesophyll cells, and RNA sequencing data indicate that it is upregulated in germinating seedlings by cold stress. Previous studies have shown that mutations to Os05g34040, the rice ortholog of Glyma.07G102300, produced a chlorotic phenotype that was more pronounced in cool temperatures. Growing soybean y24 mutants at lower temperatures also resulted in a more severe phenotype. In addition, transgenic expression of wild-type Glyma.07G102300 in the knockout mutant of the Arabidopsis ortholog At4930720 rescues the chlorotic phenotype, further supporting the hypothesis that the mutation in Glyma.07G102300 is causal of the y24 phenotype. The variant analysis strategy used to identify the genes underlying this phenotype provides a template for the study of other soybean mutants.
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Affiliation(s)
- C. Nathan Hancock
- Department of Biological, Ecological, and Earth ScienceUniversity of South Carolina AikenAikenSouth CarolinaUSA
| | - Tetandianocee Germany
- Department of Biological, Ecological, and Earth ScienceUniversity of South Carolina AikenAikenSouth CarolinaUSA
| | - Priscilla Redd
- Department of Biological, Ecological, and Earth ScienceUniversity of South Carolina AikenAikenSouth CarolinaUSA
| | - Jack Timmons
- Department of Biological, Ecological, and Earth ScienceUniversity of South Carolina AikenAikenSouth CarolinaUSA
| | - Jeffery Lipford
- Department of Biological, Ecological, and Earth ScienceUniversity of South Carolina AikenAikenSouth CarolinaUSA
| | - Samantha Burns
- Department of Biological, Ecological, and Earth ScienceUniversity of South Carolina AikenAikenSouth CarolinaUSA
| | - Sergio Alan Cervantes‐Perez
- Department of Agronomy and HorticultureUniversity of Nebraska‐LincolnLincolnNebraskaUSA
- The School of Plant SciencesUniversity of ArizonaTucsonArizonaUSA
| | - Marc Libault
- Plant Science and TechnologyUniversity of MissouriColumbiaMissouriUSA
| | - Wenhao Shen
- Donald Danforth Plant Science CenterSt. LouisMissouriUSA
| | - Yong‐qiang Charles An
- USDA‐ARS Plant Genetics Research UnitDanforth Plant Science CenterSaint LouisMissouriUSA
| | - Lisa Kanizay
- Institute of Plant Breeding, Genetics & Genomics and Department of Crop and Soil SciencesUniversity of GeorgiaAthensGeorgiaUSA
- Bayer Crop ScienceSt. LouisMissouriUSA
| | - Melinda Yerka
- Institute of Plant Breeding, Genetics & Genomics and Department of Crop and Soil SciencesUniversity of GeorgiaAthensGeorgiaUSA
- Department of Agriculture, Veterinary and Rangeland SciencesUniversity of NevadaRenoNevadaUSA
| | - Wayne A. Parrott
- Institute of Plant Breeding, Genetics & Genomics and Department of Crop and Soil SciencesUniversity of GeorgiaAthensGeorgiaUSA
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Leiva-Mora M, Capdesuñer Y, Villalobos-Olivera A, Moya-Jiménez R, Saa LR, Martínez-Montero ME. Uncovering the Mechanisms: The Role of Biotrophic Fungi in Activating or Suppressing Plant Defense Responses. J Fungi (Basel) 2024; 10:635. [PMID: 39330396 PMCID: PMC11433257 DOI: 10.3390/jof10090635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 08/27/2024] [Accepted: 08/29/2024] [Indexed: 09/28/2024] Open
Abstract
This paper discusses the mechanisms by which fungi manipulate plant physiology and suppress plant defense responses by producing effectors that can target various host proteins. Effector-triggered immunity and effector-triggered susceptibility are pivotal elements in the complex molecular dialogue underlying plant-pathogen interactions. Pathogen-produced effector molecules possess the ability to mimic pathogen-associated molecular patterns or hinder the binding of pattern recognition receptors. Effectors can directly target nucleotide-binding domain, leucine-rich repeat receptors, or manipulate downstream signaling components to suppress plant defense. Interactions between these effectors and receptor-like kinases in host plants are critical in this process. Biotrophic fungi adeptly exploit the signaling networks of key plant hormones, including salicylic acid, jasmonic acid, abscisic acid, and ethylene, to establish a compatible interaction with their plant hosts. Overall, the paper highlights the importance of understanding the complex interplay between plant defense mechanisms and fungal effectors to develop effective strategies for plant disease management.
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Affiliation(s)
- Michel Leiva-Mora
- Laboratorio de Biotecnología, Facultad de Ciencias Agropecuarias, Universidad Técnica de Ambato (UTA-DIDE), Cantón Cevallos Vía a Quero, Sector El Tambo-La Universidad, Cevallos 1801334, Ecuador
| | - Yanelis Capdesuñer
- Natural Products Department, Centro de Bioplantas, Universidad de Ciego de Ávila Máximo Gómez Báez, Ciego de Ávila 65200, Cuba;
| | - Ariel Villalobos-Olivera
- Facultad de Ciencias Agropecuarias, Universidad de Ciego de Ávila Máximo Gómez Báez, Ciego de Ávila 65200, Cuba;
| | - Roberto Moya-Jiménez
- Facultad de Diseño y Arquitectura, Universidad Técnica de Ambato (UTA-DIDE), Huachi 180207, Ecuador;
| | - Luis Rodrigo Saa
- Departamento de Ciencias Biológicas y Agropecuarias, Facultad de Ciencias Exactas y Naturales, Universidad Técnica Particular de Loja (UTPL), San Cayetano Alto, Calle París s/n, Loja 1101608, Ecuador;
| | - Marcos Edel Martínez-Montero
- Facultad de Ciencias Agropecuarias, Universidad de Ciego de Ávila Máximo Gómez Báez, Ciego de Ávila 65200, Cuba;
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7
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Aoyagi LN, Ferreira EGC, da Silva DCG, Dos Santos AB, Avelino BB, Lopes-Caitar VS, de Oliveira MF, Abdelnoor RV, de Souto ER, Arias CA, Belzile F, Marcelino-Guimarães FC. Allelic variability in the Rpp1 locus conferring resistance to Asian soybean rust revealed by genome-wide association. BMC PLANT BIOLOGY 2024; 24:743. [PMID: 39095733 PMCID: PMC11297723 DOI: 10.1186/s12870-024-05454-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 07/24/2024] [Indexed: 08/04/2024]
Abstract
Soybean is a crucial crop for the Brazilian economy, but it faces challenges from the biotrophic fungus Phakopsora pachyrhizi, which causes Asian Soybean Rust (ASR). In this study, we aimed to identify SNPs associated with resistance within the Rpp1 locus, which is effective against Brazilian ASR populations. We employed GWAS and re-sequencing analyzes to pinpoint SNP markers capable of differentiating between soybean accessions harboring the Rpp1, Rpp1-b and other alternative alleles in the Rpp1 locus and from susceptible soybean cultivars. Seven SNP markers were found to be associated with ASR resistance through GWAS, with three of them defining haplotypes that efficiently distinguished the accessions based on their ASR resistance and source of the Rpp gene. These haplotypes were subsequently validated using a bi-parental population and a diverse set of Rpp sources, demonstrating that the GWAS markers co-segregate with ASR resistance. We then examined the presence of these haplotypes in a diverse set of soybean genomes worldwide, finding a few new potential sources of Rpp1/Rpp1-b. Further genomic sequence analysis revealed nucleotide differences within the genes present in the Rpp1 locus, including the ULP1-NBS-LRR genes, which are potential R gene candidates. These results provide valuable insights into ASR resistance in soybean, thus helping the development of resistant soybean varieties through genetic breeding programs.
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Affiliation(s)
- Luciano Nobuhiro Aoyagi
- National Agriculture and Food Research Organization (NARO), 3-1-3 Kannondai, Tsukuba, Ibaraki, 305-8604, Japan
- Maringá State University (UEM), Colombo Avenue, No. 5790, Maringá, PR, Brazil
| | | | - Danielle C Gregorio da Silva
- Brazilian Agricultural Research Corporation - National Soybean Research Center (Embrapa Soja), Carlos João Strass Road, Warta County, Londrina, PR, Brazil
| | - Adriana Brombini Dos Santos
- Brazilian Agricultural Research Corporation - National Soybean Research Center (Embrapa Soja), Carlos João Strass Road, Warta County, Londrina, PR, Brazil
| | - Bruna Barbosa Avelino
- Department of Computer Science, Federal University of Technology of Paraná (UTFPR), Paraná, Brazil
| | | | - Marcelo Fernandes de Oliveira
- Brazilian Agricultural Research Corporation - National Soybean Research Center (Embrapa Soja), Carlos João Strass Road, Warta County, Londrina, PR, Brazil
| | - Ricardo V Abdelnoor
- Brazilian Agricultural Research Corporation - National Soybean Research Center (Embrapa Soja), Carlos João Strass Road, Warta County, Londrina, PR, Brazil
| | | | - Carlos Arrabal Arias
- Brazilian Agricultural Research Corporation - National Soybean Research Center (Embrapa Soja), Carlos João Strass Road, Warta County, Londrina, PR, Brazil
| | - François Belzile
- Department of Plant Sciences and Institute of Integrative Biology and Systems (IBIS), Université Laval, Quebec City, Quebec, G1V 0A6, Canada
| | - Francismar C Marcelino-Guimarães
- Brazilian Agricultural Research Corporation - National Soybean Research Center (Embrapa Soja), Carlos João Strass Road, Warta County, Londrina, PR, Brazil.
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8
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Woudstra Y, Tumas H, van Ghelder C, Hung TH, Ilska JJ, Girardi S, A’Hara S, McLean P, Cottrell J, Bohlmann J, Bousquet J, Birol I, Woolliams JA, MacKay JJ. Conifers Concentrate Large Numbers of NLR Immune Receptor Genes on One Chromosome. Genome Biol Evol 2024; 16:evae113. [PMID: 38787537 PMCID: PMC11171428 DOI: 10.1093/gbe/evae113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 04/23/2024] [Accepted: 05/21/2024] [Indexed: 05/25/2024] Open
Abstract
Nucleotide-binding domain and leucine-rich repeat (NLR) immune receptor genes form a major line of defense in plants, acting in both pathogen recognition and resistance machinery activation. NLRs are reported to form large gene clusters in limber pine (Pinus flexilis), but it is unknown how widespread this genomic architecture may be among the extant species of conifers (Pinophyta). We used comparative genomic analyses to assess patterns in the abundance, diversity, and genomic distribution of NLR genes. Chromosome-level whole genome assemblies and high-density linkage maps in the Pinaceae, Cupressaceae, Taxaceae, and other gymnosperms were scanned for NLR genes using existing and customized pipelines. The discovered genes were mapped across chromosomes and linkage groups and analyzed phylogenetically for evolutionary history. Conifer genomes are characterized by dense clusters of NLR genes, highly localized on one chromosome. These clusters are rich in TNL-encoding genes, which seem to have formed through multiple tandem duplication events. In contrast to angiosperms and nonconiferous gymnosperms, genomic clustering of NLR genes is ubiquitous in conifers. NLR-dense genomic regions are likely to influence a large part of the plant's resistance, informing our understanding of adaptation to biotic stress and the development of genetic resources through breeding.
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Affiliation(s)
| | - Hayley Tumas
- Department of Biology, University of Oxford, Oxford OX1 3RB, UK
| | - Cyril van Ghelder
- INRAE, Université Côte d’Azur, CNRS, ISA, Sophia Antipolis 06903, France
| | - Tin Hang Hung
- Department of Biology, University of Oxford, Oxford OX1 3RB, UK
| | - Joana J Ilska
- The Roslin Institute, Royal (Dick) School of Veterinary Science, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - Sebastien Girardi
- Canada Research Chair in Forest Genomics, Forest Research Centre, Université Laval, Québec, QC, Canada G1V 0A6
- Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada GIV 0A6
| | - Stuart A’Hara
- Forest Research, Northern Research Station, Roslin, Midlothian EH25 9SY, UK
| | - Paul McLean
- Forest Research, Northern Research Station, Roslin, Midlothian EH25 9SY, UK
| | - Joan Cottrell
- Forest Research, Northern Research Station, Roslin, Midlothian EH25 9SY, UK
| | - Joerg Bohlmann
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada V6T 1Z4
| | - Jean Bousquet
- Canada Research Chair in Forest Genomics, Forest Research Centre, Université Laval, Québec, QC, Canada G1V 0A6
| | - Inanc Birol
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada V5Z 4S6
| | - John A Woolliams
- The Roslin Institute, Royal (Dick) School of Veterinary Science, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - John J MacKay
- Department of Biology, University of Oxford, Oxford OX1 3RB, UK
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Cao Y, Mo W, Li Y, Xiong Y, Wang H, Zhang Y, Lin M, Zhang L, Li X. Functional characterization of NBS-LRR genes reveals an NBS-LRR gene that mediates resistance against Fusarium wilt. BMC Biol 2024; 22:45. [PMID: 38408951 PMCID: PMC10898138 DOI: 10.1186/s12915-024-01836-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 01/25/2024] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND Most disease resistance (R) genes in plants encode proteins that contain leucine-rich-repeat (LRR) and nucleotide-binding site (NBS) domains, which belong to the NBS-LRR family. The sequenced genomes of Fusarium wilt-susceptible Vernicia fordii and its resistant counterpart, Vernicia montana, offer significant resources for the functional characterization and discovery of novel NBS-LRR genes in tung tree. RESULTS Here, we identified 239 NBS-LRR genes across two tung tree genomes: 90 in V. fordii and 149 in V. montana. Five VmNBS-LRR paralogous were predicted in V. montana, and 43 orthologous were detected between V. fordii and V. montana. The orthologous gene pair Vf11G0978-Vm019719 exhibited distinct expression patterns in V. fordii and V. montana: Vf11G0978 showed downregulated expression in V. fordii, while its orthologous gene Vm019719 demonstrated upregulated expression in V. montana, indicating that this pair may be responsible for the resistance to Fusarium wilt in V. montana. Vm019719 from V. montana, activated by VmWRKY64, was shown to confer resistance to Fusarium wilt in V. montana by a virus-induced gene silencing (VIGS) experiment. However, in the susceptible V. fordii, its allelic counterpart, Vf11G0978, exhibited an ineffective defense response, attributed to a deletion in the promoter's W-box element. CONCLUSIONS This study provides the first systematic analysis of NBS-LRR genes in the tung tree and identifies a candidate gene that can be utilized for marker-assisted breeding to control Fusarium wilt in V. fordii.
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Affiliation(s)
- Yunpeng Cao
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China.
- School of Health and Nursing, Wuchang University of Technology, Wuhan, China.
- Forestry College, Central South University of Forestry and Technology, Changsha, 410004, China.
| | - Wanzhen Mo
- Forestry College, Central South University of Forestry and Technology, Changsha, 410004, China
| | - Yanli Li
- Forestry College, Central South University of Forestry and Technology, Changsha, 410004, China
| | - Yao Xiong
- Forestry College, Central South University of Forestry and Technology, Changsha, 410004, China
| | - Han Wang
- School of Life Sciences, Anhui Agricultural University, Hefei, China
| | - Yingjie Zhang
- School of Life Sciences, Anhui Agricultural University, Hefei, China
| | - Mengfei Lin
- Institute of Biological Resources, Jiangxi Academy of Sciences, Nanchang, Jiangxi, 330224, China.
| | - Lin Zhang
- School of Health and Nursing, Wuchang University of Technology, Wuhan, China.
- Hubei Shizhen Laboratory, School of Basic Medical Sciences, Hubei University of Chinese Medicine, Wuhan, 430065, China.
| | - Xiaoxu Li
- Beijing Life Science Academy, Beijing, 102209, China.
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Hancock CN, Germany T, Redd P, Timmons J, Lipford J, Burns S, Cervantes-Perez SA, Libault M, Shen W, An YQC, Kanizay L, Yerka M, Parrott WA. Identification and characterization of a temperature sensitive chlorotic soybean mutant. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.02.578604. [PMID: 38352530 PMCID: PMC10862810 DOI: 10.1101/2024.02.02.578604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Screening a transposon-mutagenized soybean population led to the discovery of a recessively inherited chlorotic phenotype. This "vir1" phenotype results in smaller stature, weaker stems, and a smaller root system with smaller nodules. Genome sequencing identified 15 candidate genes with mutations likely to result in a loss of function. Amplicon sequencing of a segregating population was then used to narrow the list to a single candidate mutation, a single-base change in Glyma.07G102300 that disrupts splicing of the second intron. Single cell transcriptomic profiling indicates that this gene is expressed primarily in mesophyll cells and RNA sequencing data indicates it is upregulated in germinating seedlings by cold stress. Previous studies have shown that mutations to Os05g34040, the rice homolog of Glyma.07G102300, produced a chlorotic phenotype that was more pronounced in cool temperatures. Growing soybean vir1 mutants at lower temperatures also resulted in a more severe phenotype. In addition, transgenic expression of wild type Glyma.07G102300 in the knockout mutant of the Arabidopsis homolog At4930720 rescues the chlorotic phenotype, further supporting the hypothesis that the mutation in Glyma.07G102300 is causal of the vir1 phenotype.
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Affiliation(s)
- C. Nathan Hancock
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC
| | | | - Priscilla Redd
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC
| | - Jack Timmons
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC
| | - Jeffery Lipford
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC
| | - Samantha Burns
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC
| | | | - Marc Libault
- Plant Science and Technology, University of Missouri, Columbia, MO
| | - Wenhao Shen
- Donald Danforth Plant Science Center, St. Louis, MO
| | - Yong-qiang Charles An
- USDA-ARS Plant Genetics Research Unit, Danforth Plant Science Center, Saint Louis, MO
| | - Lisa Kanizay
- Center for Applied Genetic Technology, University of Georgia, Athens, GA
| | - Melinda Yerka
- Center for Applied Genetic Technology, University of Georgia, Athens, GA
- Department of Agriculture, Veterinary and Rangeland Sciences, University of Nevada, Reno, NV
| | - Wayne A. Parrott
- Center for Applied Genetic Technology, University of Georgia, Athens, GA
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Chicowski AS, Bredow M, Utiyama AS, Marcelino-Guimarães FC, Whitham SA. Soybean-Phakopsora pachyrhizi interactions: towards the development of next-generation disease-resistant plants. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:296-315. [PMID: 37883664 PMCID: PMC10826999 DOI: 10.1111/pbi.14206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 09/19/2023] [Accepted: 10/08/2023] [Indexed: 10/28/2023]
Abstract
Soybean rust (SBR), caused by the obligate biotrophic fungus Phakopsora pachyrhizi, is a devastating foliar disease threatening soybean production. To date, no commercial cultivars conferring durable resistance to SBR are available. The development of long-lasting SBR resistance has been hindered by the lack of understanding of this complex pathosystem, encompassing challenges posed by intricate genetic structures in both the host and pathogen, leading to a gap in the knowledge of gene-for-gene interactions between soybean and P. pachyrhizi. In this review, we focus on recent advancements and emerging technologies that can be used to improve our understanding of the P. pachyrhizi-soybean molecular interactions. We further explore approaches used to combat SBR, including conventional breeding, transgenic approaches and RNA interference, and how advances in our understanding of plant immune networks, the availability of new molecular tools, and the recent sequencing of the P. pachyrhizi genome could be used to aid in the development of better genetic resistance against SBR. Lastly, we discuss the research gaps of this pathosystem and how new technologies can be used to shed light on these questions and to develop durable next-generation SBR-resistant soybean plants.
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Affiliation(s)
- Aline Sartor Chicowski
- Department of Plant Pathology, Entomology and Microbiology, Iowa State University, Ames, Iowa, USA
| | - Melissa Bredow
- Department of Plant Pathology, Entomology and Microbiology, Iowa State University, Ames, Iowa, USA
| | - Alice Satiko Utiyama
- Brazilian Agricultural Research Corporation - National Soybean Research Center (Embrapa Soja), Londrina, Paraná, Brazil
- Department of Agronomy, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil
| | | | - Steven A Whitham
- Department of Plant Pathology, Entomology and Microbiology, Iowa State University, Ames, Iowa, USA
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