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Killada GK, Akkareddy S, Muga SD, Pinagari A, Gundrathi SV, Gangireddy AK, Vulusala BP, Chaduvula ESP. Validation and identification of promising gene specific markers governing foliar disease resistance in groundnut (Arachis hypogaea L.). Mol Biol Rep 2024; 51:708. [PMID: 38824228 DOI: 10.1007/s11033-024-09633-z] [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: 03/09/2024] [Accepted: 05/10/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND Groundnut is vulnerable to the major foliar fungal disease viz., late leaf spot (LLS) and rust in kharif season, which results in severe yield losses. Until now, LLS and rust resistance linked markers were developed based on GPBD 4 as a major donor source and were validated in its derivatives only, which restricted their use in marker assisted selection (MAS) involving other donors. METHODS AND RESULTS The current study focused to validate LLS and rust resistance linked markers employing advanced breeding lines of F6 generation, derived from nine different crosses involving nine diverse parents, to identify potential markers for marker-assisted breeding of LLS and rust resistance in groundnut. Out of 28-trait linked markers used for validation, 8 were polymorphic (28.57%). Marker-trait association (MTA) and Single Marker Analysis (SMA) revealed that the SSR marker pPGPseq5D05 is significantly associated with both LLS (15.8% PVE) and rust (17.5% PVE) resistance, whereas, the marker IPAHM103 is tightly linked with rust resistance (26.8% PVE) alone. In silico analysis revealed that the marker gene for IPAHM103 is a zinc finger protein and the marker gene for pPGPseq5D05 is an ADP-ribosylation factor GTPase-activating protein. Both these protein products impart resistance or tolerance to biotic stress in crop plants. Two other markers namely, GMLQ975 and pPGPseq13A10 were also found to be associated with LLS resistance explaining MTA up to 60%. CONCLUSION These gene specific markers will enable us to screen more number of germplasm lines or newly developed lines in MAS schemes for LLS and rust resistance using a wide range of resistant sources.
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Affiliation(s)
- Girish Kumar Killada
- Department of Genetics and Plant Breeding, S.V. Agricultural College, ANGRAU, Tirupati, Andhra Pradesh, 517502, India
| | - Srividhya Akkareddy
- Groundnut Breeding Section, Regional Agricultural Research Station, ANGRAU, Tirupati, Andhra Pradesh, 517502, India.
| | - Sreevalli Devi Muga
- Department of Genetics and Plant Breeding, S.V. Agricultural College, ANGRAU, Tirupati, Andhra Pradesh, 517502, India
| | - Arunasri Pinagari
- Department of Plant Pathology, S.V. Agricultural College, ANGRAU, Tirupati, Andhra Pradesh, 517502, India
| | - Sree Vidya Gundrathi
- Department of Genetics and Plant Breeding, S.V. Agricultural College, ANGRAU, Tirupati, Andhra Pradesh, 517502, India
| | - Anil Kumar Gangireddy
- Department of Genetics and Plant Breeding, S.V. Agricultural College, ANGRAU, Tirupati, Andhra Pradesh, 517502, India
| | - Bhanu Prakash Vulusala
- Department of Genetics and Plant Breeding, S.V. Agricultural College, ANGRAU, Tirupati, Andhra Pradesh, 517502, India
| | - Eshwar Sai Prasad Chaduvula
- Department of Genetics and Plant Breeding, ICAR-National Institute of Biotic Stress Management, Raipur, Chattishgarh, 493225, India
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Gangurde SS, Thompson E, Yaduru S, Wang H, Fountain JC, Chu Y, Ozias-Akins P, Isleib TG, Holbrook C, Dutta B, Culbreath AK, Pandey MK, Guo B. Linkage Mapping and Genome-Wide Association Study Identified Two Peanut Late Leaf Spot Resistance Loci, PLLSR-1 and PLLSR-2, Using Nested Association Mapping. PHYTOPATHOLOGY 2024; 114:1346-1355. [PMID: 38669464 DOI: 10.1094/phyto-04-23-0143-r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
Identification of candidate genes and molecular markers for late leaf spot (LLS) disease resistance in peanut (Arachis hypogaea) has been a focus of molecular breeding for the U.S. industry-funded peanut genome project. Efforts have been hindered by limited mapping resolution due to low levels of genetic recombination and marker density available in traditional biparental mapping populations. To address this, a multi-parental nested association mapping population has been genotyped with the peanut 58K single-nucleotide polymorphism (SNP) array and phenotyped for LLS severity in the field for 3 years. Joint linkage-based quantitative trait locus (QTL) mapping identified nine QTLs for LLS resistance with significant phenotypic variance explained up to 47.7%. A genome-wide association study identified 13 SNPs consistently associated with LLS resistance. Two genomic regions harboring the consistent QTLs and SNPs were identified from 1,336 to 1,520 kb (184 kb) on chromosome B02 and from 1,026.9 to 1,793.2 kb (767 kb) on chromosome B03, designated as peanut LLS resistance loci, PLLSR-1 and PLLSR-2, respectively. PLLSR-1 contains 10 nucleotide-binding site leucine-rich repeat disease resistance genes. A nucleotide-binding site leucine-rich repeat disease resistance gene, Arahy.VKVT6A, was also identified on homoeologous chromosome A02. PLLSR-2 contains five significant SNPs associated with five different genes encoding callose synthase, pollen defective in guidance protein, pentatricopeptide repeat, acyl-activating enzyme, and C2 GRAM domains-containing protein. This study highlights the power of multi-parent populations such as nested association mapping for genetic mapping and marker-trait association studies in peanuts. Validation of these two LLS resistance loci will be needed for marker-assisted breeding.
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Affiliation(s)
- Sunil S Gangurde
- U.S. Department of Agriculture, Agricultural Research Service, Crop Genetics and Breeding Research Unit, Tifton, GA, U.S.A
- Department of Plant Pathology, University of Georgia, Tifton, GA, U.S.A
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Ethan Thompson
- U.S. Department of Agriculture, Agricultural Research Service, Crop Genetics and Breeding Research Unit, Tifton, GA, U.S.A
- Department of Plant Pathology, University of Georgia, Tifton, GA, U.S.A
| | - Shasidhar Yaduru
- U.S. Department of Agriculture, Agricultural Research Service, Crop Genetics and Breeding Research Unit, Tifton, GA, U.S.A
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Hui Wang
- U.S. Department of Agriculture, Agricultural Research Service, Crop Genetics and Breeding Research Unit, Tifton, GA, U.S.A
- Department of Plant Pathology, University of Georgia, Tifton, GA, U.S.A
| | - Jake C Fountain
- Department of Plant Pathology, University of Georgia, Griffin, GA, U.S.A
| | - Ye Chu
- Department of Horticulture, University of Georgia, Tifton, GA, U.S.A
| | - Peggy Ozias-Akins
- Department of Horticulture, University of Georgia, Tifton, GA, U.S.A
| | - Thomas G Isleib
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, U.S.A
| | - Corley Holbrook
- U.S. Department of Agriculture, Agricultural Research Service, Crop Genetics and Breeding Research Unit, Tifton, GA, U.S.A
| | - Bhabesh Dutta
- Department of Plant Pathology, University of Georgia, Tifton, GA, U.S.A
| | | | - Manish K Pandey
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Baozhu Guo
- U.S. Department of Agriculture, Agricultural Research Service, Crop Genetics and Breeding Research Unit, Tifton, GA, U.S.A
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Pandey MK, Gangurde SS, Shasidhar Y, Sharma V, Kale SM, Khan AW, Shah P, Joshi P, Bhat RS, Janila P, Bera SK, Varshney RK. High-throughput diagnostic markers for foliar fungal disease resistance and high oleic acid content in groundnut. BMC PLANT BIOLOGY 2024; 24:262. [PMID: 38594614 PMCID: PMC11005153 DOI: 10.1186/s12870-024-04987-9] [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: 11/22/2023] [Accepted: 04/03/2024] [Indexed: 04/11/2024]
Abstract
BACKGROUND Foliar diseases namely late leaf spot (LLS) and leaf rust (LR) reduce yield and deteriorate fodder quality in groundnut. Also the high oleic acid content has emerged as one of the most important traits for industries and consumers due to its increased shelf life and health benefits. RESULTS Genetic mapping combined with pooled sequencing approaches identified candidate resistance genes (LLSR1 and LLSR2 for LLS and LR1 for LR) for both foliar fungal diseases. The LLS-A02 locus housed LLSR1 gene for LLS resistance, while, LLS-A03 housed LLSR2 and LR1 genes for LLS and LR resistance, respectively. A total of 49 KASPs markers were developed from the genomic regions of important disease resistance genes, such as NBS-LRR, purple acid phosphatase, pentatricopeptide repeat-containing protein, and serine/threonine-protein phosphatase. Among the 49 KASP markers, 41 KASPs were validated successfully on a validation panel of contrasting germplasm and breeding lines. Of the 41 validated KASPs, 39 KASPs were designed for rust and LLS resistance, while two KASPs were developed using fatty acid desaturase (FAD) genes to control high oleic acid levels. These validated KASP markers have been extensively used by various groundnut breeding programs across the world which led to development of thousands of advanced breeding lines and few of them also released for commercial cultivation. CONCLUSION In this study, high-throughput and cost-effective KASP assays were developed, validated and successfully deployed to improve the resistance against foliar fungal diseases and oleic acid in groundnut. So far deployment of allele-specific and KASP diagnostic markers facilitated development and release of two rust- and LLS-resistant varieties and five high-oleic acid groundnut varieties in India. These validated markers provide opportunities for routine deployment in groundnut breeding programs.
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Affiliation(s)
- Manish K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
| | - Sunil S Gangurde
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Yaduru Shasidhar
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Vinay Sharma
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Sandip M Kale
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Aamir W Khan
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Priya Shah
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Pushpesh Joshi
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Pasupuleti Janila
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Sandip K Bera
- ICAR-Directorate of Groundnut Research, Junagadh, India
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
- Centre for Crop and Food Innovation, WA State Agricultural Biotechnology Centre, Murdoch University, Murdoch, Australia.
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You Y, Liao J, He Z, Khurshid M, Wang C, Zhang Z, Mao J, Xia Y. Effects of Peanut Rust Disease ( Puccinia arachidis Speg.) on Agricultural Production: Current Control Strategies and Progress in Breeding for Resistance. Genes (Basel) 2024; 15:102. [PMID: 38254991 PMCID: PMC10815183 DOI: 10.3390/genes15010102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/08/2024] [Accepted: 01/13/2024] [Indexed: 01/24/2024] Open
Abstract
Peanuts play a pivotal role as an economic crop on a global scale, serving as a primary source of both edible oil and protein. Peanut rust (Puccinia arachidis Speg.) disease constitutes a significant global biotic stress, representing a substantial economic threat to the peanut industry by inducing noteworthy reductions in seed yields and compromising oil quality. This comprehensive review delves into the distinctive characteristics and detrimental symptoms associated with peanut rust, scrutinizing its epidemiology and the control strategies that are currently implemented. Notably, host resistance emerges as the most favored strategy due to its potential to surmount the limitations inherent in other approaches. The review further considers the recent advancements in peanut rust resistance breeding, integrating the use of molecular marker technology and the identification of rust resistance genes. Our findings indicate that the ongoing refinement of control strategies, especially through the development and application of immune or highly resistant peanut varieties, will have a profound impact on the global peanut industry.
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Affiliation(s)
- Yu You
- Nanchong Academy of Agricultural Sciences, Nanchong 637000, China; (Y.Y.); (J.L.); (Z.H.); (C.W.); (Z.Z.); (J.M.)
| | - Junhua Liao
- Nanchong Academy of Agricultural Sciences, Nanchong 637000, China; (Y.Y.); (J.L.); (Z.H.); (C.W.); (Z.Z.); (J.M.)
| | - Zemin He
- Nanchong Academy of Agricultural Sciences, Nanchong 637000, China; (Y.Y.); (J.L.); (Z.H.); (C.W.); (Z.Z.); (J.M.)
| | - Muhammad Khurshid
- School of Biochemistry and Biotechnology, University of the Punjab, Lahore P.O. Box 54590, Pakistan;
| | - Chaohuan Wang
- Nanchong Academy of Agricultural Sciences, Nanchong 637000, China; (Y.Y.); (J.L.); (Z.H.); (C.W.); (Z.Z.); (J.M.)
| | - Zhenzhen Zhang
- Nanchong Academy of Agricultural Sciences, Nanchong 637000, China; (Y.Y.); (J.L.); (Z.H.); (C.W.); (Z.Z.); (J.M.)
| | - Jinxiong Mao
- Nanchong Academy of Agricultural Sciences, Nanchong 637000, China; (Y.Y.); (J.L.); (Z.H.); (C.W.); (Z.Z.); (J.M.)
| | - Youlin Xia
- Nanchong Academy of Agricultural Sciences, Nanchong 637000, China; (Y.Y.); (J.L.); (Z.H.); (C.W.); (Z.Z.); (J.M.)
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Miao P, Meng X, Li Z, Sun S, Chen CY, Yang X. Mapping Quantitative Trait Loci (QTLs) for Hundred-Pod and Hundred-Seed Weight under Seven Environments in a Recombinant Inbred Line Population of Cultivated Peanut ( Arachis hypogaea L.). Genes (Basel) 2023; 14:1792. [PMID: 37761932 PMCID: PMC10531390 DOI: 10.3390/genes14091792] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/06/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
The cultivated peanut (Arachis hypogaea L.) is a significant oil and cash crop globally. Hundred-pod and -seed weight are important components for peanut yield. To unravel the genetic basis of hundred-pod weight (HPW) and hundred-seed weight (HSW), in the current study, a recombinant inbred line (RIL) population with 188 individuals was developed from a cross between JH5 (JH5, large pod and seed weight) and M130 (small pod and seed weight), and was utilized to identify QTLs for HPW and HSW. An integrated genetic linkage map was constructed by using SSR, AhTE, SRAP, TRAP and SNP markers. This map consisted of 3130 genetic markers, which were assigned to 20 chromosomes, and covered 1998.95 cM with an average distance 0.64 cM. On this basis, 31 QTLs for HPW and HSW were located on seven chromosomes, with each QTL accounting for 3.7-10.8% of phenotypic variance explained (PVE). Among these, seven QTLs were detected under multiple environments, and two major QTLs were found on B04 and B08. Notably, a QTL hotspot on chromosome A08 contained seven QTLs over a 2.74 cM genetic interval with an 0.36 Mb physical map, including 18 candidate genes. Of these, Arahy.D52S1Z, Arahy.IBM9RL, Arahy.W18Y25, Arahy.CPLC2W and Arahy.14EF4H might play a role in modulating peanut pod and seed weight. These findings could facilitate further research into the genetic mechanisms influencing pod and seed weight in cultivated peanut.
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Affiliation(s)
- Penghui Miao
- State Key Laboratory of North China for Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory of Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding 071001, China
| | - Xinhao Meng
- State Key Laboratory of North China for Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory of Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding 071001, China
| | - Zeren Li
- State Key Laboratory of North China for Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory of Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding 071001, China
| | - Sainan Sun
- State Key Laboratory of North China for Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory of Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding 071001, China
| | - Charles Y. Chen
- Department of Crop, Soil and Environmental Sciences, Auburn University, Auburn, AL 36849, USA
| | - Xinlei Yang
- State Key Laboratory of North China for Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory of Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding 071001, China
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Huang R, Li H, Gao C, Yu W, Zhang S. Advances in omics research on peanut response to biotic stresses. FRONTIERS IN PLANT SCIENCE 2023; 14:1101994. [PMID: 37284721 PMCID: PMC10239885 DOI: 10.3389/fpls.2023.1101994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 04/18/2023] [Indexed: 06/08/2023]
Abstract
Peanut growth, development, and eventual production are constrained by biotic and abiotic stresses resulting in serious economic losses. To understand the response and tolerance mechanism of peanut to biotic and abiotic stresses, high-throughput Omics approaches have been applied in peanut research. Integrated Omics approaches are essential for elucidating the temporal and spatial changes that occur in peanut facing different stresses. The integration of functional genomics with other Omics highlights the relationships between peanut genomes and phenotypes under specific stress conditions. In this review, we focus on research on peanut biotic stresses. Here we review the primary types of biotic stresses that threaten sustainable peanut production, the multi-Omics technologies for peanut research and breeding, and the recent advances in various peanut Omics under biotic stresses, including genomics, transcriptomics, proteomics, metabolomics, miRNAomics, epigenomics and phenomics, for identification of biotic stress-related genes, proteins, metabolites and their networks as well as the development of potential traits. We also discuss the challenges, opportunities, and future directions for peanut Omics under biotic stresses, aiming sustainable food production. The Omics knowledge is instrumental for improving peanut tolerance to cope with various biotic stresses and for meeting the food demands of the exponentially growing global population.
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Affiliation(s)
- Ruihua Huang
- Guangdong Key Laboratory of Biotechnology for Plant Development, College of Life Sciences, South China Normal University, Guangzhou, China
| | - Hongqing Li
- Guangdong Key Laboratory of Biotechnology for Plant Development, College of Life Sciences, South China Normal University, Guangzhou, China
| | - Caiji Gao
- Guangdong Key Laboratory of Biotechnology for Plant Development, College of Life Sciences, South China Normal University, Guangzhou, China
| | - Weichang Yu
- Guangdong Key Laboratory of Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China
- Liaoning Peanut Research Institute, Liaoning Academy of Agricultural Sciences, Fuxing, China
- China Good Crop Company (Shenzhen) Limited, Shenzhen, China
| | - Shengchun Zhang
- Guangdong Key Laboratory of Biotechnology for Plant Development, College of Life Sciences, South China Normal University, Guangzhou, China
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Moretzsohn MDC, dos Santos JF, Moraes ARA, Custódio AR, Michelotto MD, Mahrajan N, Leal-Bertioli SCDM, Godoy IJ, Bertioli DJ. Marker-assisted introgression of wild chromosome segments conferring resistance to fungal foliar diseases into peanut ( Arachis hypogaea L.). FRONTIERS IN PLANT SCIENCE 2023; 14:1139361. [PMID: 37056498 PMCID: PMC10088909 DOI: 10.3389/fpls.2023.1139361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 02/20/2023] [Indexed: 06/19/2023]
Abstract
INTRODUCTION Fungal foliar diseases can severely affect the productivity of the peanut crop worldwide. Late leaf spot is the most frequent disease and a major problem of the crop in Brazil and many other tropical countries. Only partial resistance to fungal diseases has been found in cultivated peanut, but high resistances have been described on the secondary gene pool. METHODS To overcome the known compatibility barriers for the use of wild species in peanut breeding programs, we used an induced allotetraploid (Arachis stenosperma × A. magna)4x, as a donor parent, in a successive backcrossing scheme with the high-yielding Brazilian cultivar IAC OL 4. We used microsatellite markers associated with late leaf spot and rust resistance for foreground selection and high-throughput SNP genotyping for background selection. RESULTS With these tools, we developed agronomically adapted lines with high cultivated genome recovery, high-yield potential, and wild chromosome segments from both A. stenosperma and A. magna conferring high resistance to late leaf spot and rust. These segments include the four previously identified as having QTLs (quantitative trait loci) for resistance to both diseases, which could be confirmed here, and at least four additional QTLs identified by using mapping populations on four generations. DISCUSSION The introgression germplasm developed here will extend the useful genetic diversity of the primary gene pool by providing novel wild resistance genes against these two destructive peanut diseases.
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Affiliation(s)
| | | | | | - Adriana Regina Custódio
- Plant Genetics Laboratory, Embrapa Genetic Resources and Biotechnology, Brasília, DF, Brazil
| | | | - Namrata Mahrajan
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States
| | - Soraya Cristina de Macedo Leal-Bertioli
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States
- Department of Plant Pathology, University of Georgia, Athens, GA, United States
| | - Ignácio José Godoy
- Grain and Fiber Center, Agronomic Institute of Campinas (IAC), Campinas, SP, Brazil
| | - David John Bertioli
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States
- Department of Crop and Soil Science, University of Georgia, Athens, GA, United States
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Wankhade AP, Chimote VP, Viswanatha KP, Yadaru S, Deshmukh DB, Gattu S, Sudini HK, Deshmukh MP, Shinde VS, Vemula AK, Pasupuleti J. Genome-wide association mapping for LLS resistance in a MAGIC population of groundnut (Arachis hypogaea L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:43. [PMID: 36897383 DOI: 10.1007/s00122-023-04256-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 12/19/2022] [Indexed: 06/18/2023]
Abstract
The identified 30 functional nucleotide polymorphisms or genic SNP markers would offer essential information for marker-assisted breeding in groundnut. A genome-wide association study (GWAS) on component traits of LLS resistance in an eight-way multiparent advance generation intercross (MAGIC) population of groundnut in the field and in a light chamber (controlled conditions) was performed via an Affymetrix 48 K single-nucleotide polymorphism (SNP) 'Axiom Arachis' array. Multiparental populations with high-density genotyping enable the detection of novel alleles. In total, five quantitative trait loci (QTLs) with marker - log10(p value) scores ranging from 4.25 to 13.77 for the incubation period (IP) and six QTLs with marker - log10(p value) scores ranging from 4.33 to 10.79 for the latent period (LP) were identified across the A- and B-subgenomes. A total of 62 markers‒trait associations (MTAs) were identified across the A- and B-subgenomes. Markers for LLS scores and the area under the disease progression curve (AUDPC) recorded for plants in the light chamber and under field conditions presented - log10 (p value) scores ranging from 4.22 to 27.30. The highest number of MTAs (six) was identified on chromosomes A05, B07 and B09. Out of a total of 73 MTAs, 37 and 36 MTAs were detected in subgenomes A and B, respectively. Taken together, these results suggest that both subgenomes have equal potential genomic regions contributing to LLS resistance. A total of 30 functional nucleotide polymorphisms or genic SNP markers were detected, among which eight genes were found to encode leucine-rich repeat (LRR) receptor-like protein kinases and putative disease resistance proteins. These important SNPs can be used in breeding programmes for the development of cultivars with improved disease resistance.
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Affiliation(s)
- Ankush Purushottam Wankhade
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, 502 324, India
- Mahatma Phule Krishi Vidyapeeth (MPKV), Rahuri, Maharashtra, 413 722, India
| | | | | | - Shasidhar Yadaru
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, 502 324, India
| | - Dnyaneshwar Bandu Deshmukh
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, 502 324, India
| | - Swathi Gattu
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, 502 324, India
| | - Hari Kishan Sudini
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, 502 324, India
| | | | | | - Anil Kumar Vemula
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, 502 324, India
| | - Janila Pasupuleti
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, 502 324, India.
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Marker assisted backcross to introgress late leaf spot and rust resistance in groundnut (Arachis hypogaea L.). Mol Biol Rep 2023; 50:2411-2419. [PMID: 36586081 DOI: 10.1007/s11033-022-08234-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 12/22/2022] [Indexed: 01/01/2023]
Abstract
BACKGROUND Groundnut is affected by a variety of abiotic and biotic stressors, including late leaf spot and rust, which cause significant economic loss. In this study, QTL for resistance to late leaf spot and rust from donor variety GPBD 4 were incorporated into a popular groundnut variety (ICGV 00350) through marker assisted backcross (MABC) breeding. METHODS Eight foreground SSR markers [AhXII (GM1009, GM1573 and Seq8D09) and AhXV (GM1536, GM2009, GM2079, GM2301 and IPAHM103)] linked with disease resistant QTLs were utilized in this study. A set of 217 SSR markers spanning the whole groundnut genome were employed for background analysis. Three backcrosses with recurrent parent and selfing were followed in the cross ICGV 00350 × GPBD 4. Background analysis was carried out in BC3F2; while, phenotypic confirmation for resistance was carried out in BC3F3 generation. CONCLUSION Five advanced backcross lines in BC3F2 were found, with more than 90% recurrent parent genome. The phenotyping of the eight ILs recorded disease scores ranging from 2.0 to 3.0 for LLS and from 1.0 to 3.0 for rust disease scores. All these lines had superior characteristics compared to the recurrent parent ICGV 00350 in terms of late leaf spot and rust resistance. The enhanced ILs will be evaluated further for commercial release.
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Newman CS, Andres RJ, Youngblood RC, Campbell JD, Simpson SA, Cannon SB, Scheffler BE, Oakley AT, Hulse-Kemp AM, Dunne JC. Initiation of genomics-assisted breeding in Virginia-type peanuts through the generation of a de novo reference genome and informative markers. FRONTIERS IN PLANT SCIENCE 2023; 13:1073542. [PMID: 36777543 PMCID: PMC9911918 DOI: 10.3389/fpls.2022.1073542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 12/28/2022] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Virginia-type peanut, Arachis hypogaea subsp. hypogaea, is the second largest market class of peanut cultivated in the United States. It is mainly used for large-seeded, in-shell products. Historically, Virginia-type peanut cultivars were developed through long-term recurrent phenotypic selection and wild species introgression projects. Contemporary genomic technologies represent a unique opportunity to revolutionize the traditional breeding pipeline. While there are genomic tools available for wild and cultivated peanuts, none are tailored specifically to applied Virginia-type cultivar development programs. METHODS AND RESPECTIVE RESULTS Here, the first Virginia-type peanut reference genome, "Bailey II", was assembled. It has improved contiguity and reduced instances of manual curation in chromosome arms. Whole-genome sequencing and marker discovery was conducted on 66 peanut lines which resulted in 1.15 million markers. The high marker resolution achieved allowed 34 unique wild species introgression blocks to be cataloged in the A. hypogaea genome, some of which are known to confer resistance to one or more pathogens. To enable marker-assisted selection of the blocks, 111 PCR Allele Competitive Extension assays were designed. Forty thousand high quality markers were selected from the full set that are suitable for mid-density genotyping for genomic selection. Genomic data from representative advanced Virginia-type peanut lines suggests this is an appropriate base population for genomic selection. DISCUSSION The findings and tools produced in this research will allow for rapid genetic gain in the Virginia-type peanut population. Genomics-assisted breeding will allow swift response to changing biotic and abiotic threats, and ultimately the development of superior cultivars for public use and consumption.
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Affiliation(s)
- Cassondra S. Newman
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - Ryan J. Andres
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - Ramey C. Youngblood
- Institute for Genomics, Biocomputing, and Biotechnology, Mississippi State University, Mississippi State, MS, United States
| | - Jacqueline D. Campbell
- United States Department of Agriculture–Agricultural Research Service (USDA–ARS), Corn Insects and Crop Genetics Research Unit, Ames, IA, United States
| | - Sheron A. Simpson
- United States Department of Agriculture–Agricultural Research Service Genomics and Bioinformatics Research Unit, Stoneville, MS, United States
| | - Steven B. Cannon
- United States Department of Agriculture–Agricultural Research Service (USDA–ARS), Corn Insects and Crop Genetics Research Unit, Ames, IA, United States
| | - Brian E. Scheffler
- United States Department of Agriculture–Agricultural Research Service Genomics and Bioinformatics Research Unit, Stoneville, MS, United States
| | - Andrew T. Oakley
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - Amanda M. Hulse-Kemp
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
- United States Department of Agriculture–Agricultural Research Service Genomics and Bioinformatics Research Unit, Raleigh, NC, United States
| | - Jeffrey C. Dunne
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
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11
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Mondal S, Mohamed Shafi K, Raizada A, Song H, Badigannavar AM, Sowdhamini R. Development of candidate gene-based markers and map-based cloning of a dominant rust resistance gene in cultivated groundnut (Arachis hypogaea L.). Gene 2022; 827:146474. [PMID: 35390447 DOI: 10.1016/j.gene.2022.146474] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 03/22/2022] [Accepted: 03/31/2022] [Indexed: 11/18/2022]
Abstract
A dominant rust resistance gene, VG 9514-Rgene was isolated through map-based cloning. Sequence analysis revealed non-synonymous mutations in the TIR, NBS and LRR region of the R-protein. Candidate gene-based markers from these SNPs revealed complete co-segregation of the isolated VG 9514-Rgene with rust resistance in a RIL population and confirmed their map position in between FRS 72 and SSR_GO340445 markers in arahy03 chromosome. Blastp search of VG 9514-Rprotein detected Arahy.T6DCA5 with >80.0% identity that localized at 142,544,745.0.142,549,184 in arahy03 chromosome. Ka/Ks calculation revealed that VG 9514-Rgene had undergone positive selection compared to four homologous genes in the groundnut genome. Homology based structure modelling of this R-protein revealed a typical consensus three-dimensional folding of TIR-NBS-LRR protein. Non-synonymous mutations in susceptible version of R-protein were mapped and found E268Q mutation in hhGRExE motif, Y309F in RNBS-A motif and I579T in MHD motif of NB-ARC domain are probable candidates for loss of function.
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Affiliation(s)
- Suvendu Mondal
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai 400085, Maharashtra, India; Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai 400094, Maharashtra, India.
| | - K Mohamed Shafi
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bellary Road, Bangalore 560065, Karnataka, India.
| | - Avi Raizada
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai 400085, Maharashtra, India; Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai 400094, Maharashtra, India
| | - Hui Song
- Grassland Agri-Husbandry Research Center, College of Grassland Science, Qingdao Agricultural University, Qingdao, China
| | - Anand M Badigannavar
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai 400085, Maharashtra, India; Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai 400094, Maharashtra, India
| | - Ramanathan Sowdhamini
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bellary Road, Bangalore 560065, Karnataka, India.
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12
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Gangurde SS, Nayak SN, Joshi P, Purohit S, Sudini HK, Chitikineni A, Hong Y, Guo B, Chen X, Pandey MK, Varshney RK. Comparative Transcriptome Analysis Identified Candidate Genes for Late Leaf Spot Resistance and Cause of Defoliation in Groundnut. Int J Mol Sci 2021; 22:ijms22094491. [PMID: 33925801 PMCID: PMC8123497 DOI: 10.3390/ijms22094491] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 04/21/2021] [Accepted: 04/22/2021] [Indexed: 11/29/2022] Open
Abstract
Late leaf spot (LLS) caused by fungus Nothopassalora personata in groundnut is responsible for up to 50% yield loss. To dissect the complex nature of LLS resistance, comparative transcriptome analysis was performed using resistant (GPBD 4), susceptible (TAG 24) and a resistant introgression line (ICGV 13208) and identified a total of 12,164 and 9954 DEGs (differentially expressed genes) respectively in A- and B-subgenomes of tetraploid groundnut. There were 135 and 136 unique pathways triggered in A- and B-subgenomes, respectively, upon N. personata infection. Highly upregulated putative disease resistance genes, an RPP-13 like (Aradu.P20JR) and a NBS-LRR (Aradu.Z87JB) were identified on chromosome A02 and A03, respectively, for LLS resistance. Mildew resistance Locus (MLOs)-like proteins, heavy metal transport proteins, and ubiquitin protein ligase showed trend of upregulation in susceptible genotypes, while tetratricopeptide repeats (TPR), pentatricopeptide repeat (PPR), chitinases, glutathione S-transferases, purple acid phosphatases showed upregulation in resistant genotypes. However, the highly expressed ethylene responsive factor (ERF) and ethylene responsive nuclear protein (ERF2), and early responsive dehydration gene (ERD) might be related to the possible causes of defoliation in susceptible genotypes. The identified disease resistance genes can be deployed in genomics-assisted breeding for development of LLS resistant cultivars to reduce the yield loss in groundnut.
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Affiliation(s)
- Sunil S. Gangurde
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India; (S.S.G.); (P.J.); (S.P.); (H.K.S.); (A.C.)
- Department of Genetics, Osmania University, Hyderabad 500007, India
| | - Spurthi N. Nayak
- Department of Biotechnology, University of Agricultural Sciences, Dharwad 580005, India;
| | - Pushpesh Joshi
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India; (S.S.G.); (P.J.); (S.P.); (H.K.S.); (A.C.)
| | - Shilp Purohit
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India; (S.S.G.); (P.J.); (S.P.); (H.K.S.); (A.C.)
| | - Hari K. Sudini
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India; (S.S.G.); (P.J.); (S.P.); (H.K.S.); (A.C.)
| | - Annapurna Chitikineni
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India; (S.S.G.); (P.J.); (S.P.); (H.K.S.); (A.C.)
| | - Yanbin Hong
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; (Y.H.); (X.C.)
| | - Baozhu Guo
- USDA-ARS, Crop Genetics and Breeding Research Unit, Tifton, GA 31793, USA;
| | - Xiaoping Chen
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; (Y.H.); (X.C.)
| | - Manish K. Pandey
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India; (S.S.G.); (P.J.); (S.P.); (H.K.S.); (A.C.)
- Correspondence: (M.K.P.); (R.K.V.)
| | - Rajeev K. Varshney
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India; (S.S.G.); (P.J.); (S.P.); (H.K.S.); (A.C.)
- Correspondence: (M.K.P.); (R.K.V.)
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13
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Evaluation of DNA extraction methods for molecular traceability in cold pressed, solvent extracted and refined groundnut oils. Journal of Food Science and Technology 2021; 58:3561-3567. [PMID: 34366473 DOI: 10.1007/s13197-021-05079-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 03/12/2021] [Accepted: 03/17/2021] [Indexed: 10/21/2022]
Abstract
Groundnut oil (GNO)/peanut oil is one of the agro-food products with great economic value and hence an attractive target for adulteration and mislabeling. Simple Sequence Repeats (SSR) are markers of choice for DNA fingerprinting studies as they exhibit high polymorphism due to variable number of repeats. Hence, this study was designed to evaluate and optimize a method for DNA isolation from groundnut oil and study the possibility of using the isolated DNA for molecular traceability using SSR markers. Four methods to isolate DNA from groundnut oil were evaluated. All the four methods were modified CTAB protocols, but differed in procedures for extraction, buffer compositions, amount of oil used and DNA carriers. For molecular traceability of oils, extraction and recovery of DNA from edible oil is a key step, especially in refined oils. A method that employed DNA enrichment prior to extraction with CTAB buffer yielded amplifiable DNA from cold pressed GNO, crude hexane extracted GNO and refined GNO. The optimized method for isolation of DNA from groundnut oil is simple, efficient, less costly and reproducible when compared to chromatography and spectroscopy based techniques.
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14
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Pandey MK, Chaudhari S, Jarquin D, Janila P, Crossa J, Patil SC, Sundravadana S, Khare D, Bhat RS, Radhakrishnan T, Hickey JM, Varshney RK. Genome-based trait prediction in multi- environment breeding trials in groundnut. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:3101-3117. [PMID: 32809035 PMCID: PMC7547976 DOI: 10.1007/s00122-020-03658-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 08/03/2020] [Indexed: 05/13/2023]
Abstract
KEY MESSAGE Comparative assessment identified naïve interaction model, and naïve and informed interaction GS models suitable for achieving higher prediction accuracy in groundnut keeping in mind the high genotype × environment interaction for complex traits. Genomic selection (GS) can be an efficient and cost-effective breeding approach which captures both small- and large-effect genetic factors and therefore promises to achieve higher genetic gains for complex traits such as yield and oil content in groundnut. A training population was constituted with 340 elite lines followed by genotyping with 58 K 'Axiom_Arachis' SNP array and phenotyping for key agronomic traits at three locations in India. Four GS models were tested using three different random cross-validation schemes (CV0, CV1 and CV2). These models are: (1) model 1 (M1 = E + L) which includes the main effects of environment (E) and line (L); (2) model 2 (M2 = E + L + G) which includes the main effects of markers (G) in addition to E and L; (3) model 3 (M3 = E + L + G + GE), a naïve interaction model; and (4) model 4 (E + L + G + LE + GE), a naïve and informed interaction model. Prediction accuracy estimated for four models indicated clear advantage of the inclusion of marker information which was reflected in better prediction accuracy achieved with models M2, M3 and M4 as compared to M1 model. High prediction accuracies (> 0.600) were observed for days to 50% flowering, days to maturity, hundred seed weight, oleic acid, rust@90 days, rust@105 days and late leaf spot@90 days, while medium prediction accuracies (0.400-0.600) were obtained for pods/plant, shelling %, and total yield/plant. Assessment of comparative prediction accuracy for different GS models to perform selection for untested genotypes, and unobserved and unevaluated environments provided greater insights on potential application of GS breeding in groundnut.
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Affiliation(s)
- Manish K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
| | - Sunil Chaudhari
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Diego Jarquin
- International Maize and Wheat Improvement Center (CIMMYT), Mexico City, Mexico
| | - Pasupuleti Janila
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Jose Crossa
- International Maize and Wheat Improvement Center (CIMMYT), Mexico City, Mexico
| | - Sudam C Patil
- Mahatma Phule Krishi Vidyapeeth (MPKV), Jalgaon, India
| | | | - Dhirendra Khare
- Jawaharlal Nehru Krishi Vishwa Vidyalaya (JNKVV), Jabalpur, India
| | - Ramesh S Bhat
- University of Agricultural Sciences (UAS)-Dharwad, Dharwad, India
| | | | - John M Hickey
- The Roslin Institute, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
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15
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Identification of novel QTLs for late leaf spot resistance and validation of a major rust QTL in peanut ( Arachis hypogaea L.). 3 Biotech 2020; 10:458. [PMID: 33088655 DOI: 10.1007/s13205-020-02446-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 09/21/2020] [Indexed: 10/23/2022] Open
Abstract
Co-occurrence of two devastating foliar-fungal diseases of peanut, viz., late leaf spot (LLS), and rust may cause heavy yield loss besides adversely affecting the quality of kernel and fodder. This study reports the mapping of seven novel stress-related candidate EST-SSRs in a region having major QTLs for LLS and rust diseases using an F2 mapping population (GJG17 × GPBD4) consisting of 328 individuals. The parental polymorphism using 1311 SSRs revealed 84 SSRs (6.4%) as polymorphic and of these 70 SSRs could be mapped on 14 linkage groups (LG). QTL analysis has identified a common QTL (LLSQTL1/RustQTL) for LLS and rust diseases in the map interval of 1.41 cM on A03 chromosome, explaining 47.45% and 70.52% phenotypic variations, respectively. Another major QTL for LLS (LLSQTL1), explaining a 29.06% phenotypic variation was also found on LG_A03. A major rust QTL has been validated which was found harboring R-gene and resistance-related genes having a role in inducing hypersensitive response (HR). Further, 23 linked SSRs including seven novel EST-SSRs were also validated in 177 diverse Indian groundnut genotypes. Twelve genotypes resistant to both LLS and rust were found carrying the common (rust and LLS) QTL region, LLS QTL region, and surrounding regions. These identified and validated candidate EST-SSR markers would be of great use for the peanut breeding groups working for the improvement of foliar-fungal disease resistance.
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16
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Daudi H, Shimelis H, Mathew I, Oteng‐Frimpong R, Ojiewo C, Varshney RK. Genetic diversity and population structure of groundnut ( Arachis hypogaea L.) accessions using phenotypic traits and SSR markers: implications for rust resistance breeding. GENETIC RESOURCES AND CROP EVOLUTION 2020; 68:581-604. [PMID: 33505123 PMCID: PMC7811514 DOI: 10.1007/s10722-020-01007-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 08/30/2020] [Indexed: 05/27/2023]
Abstract
Groundnut (Arachis hypogaea L.) is a multi-purpose legume serving millions of farmers and their value chain actors globally. Use of old poor-performing cultivars contributes to low yields (< 1 t/ha) of groundnut in sub-Saharan Africa including Tanzania. The objectives of this study were to determine the extent of genetic variation among diverse groundnut collections using phenotypic traits and simple sequence repeat (SSR) markers to select distinct and complementary genotypes for breeding. One hundred and nineteen genotypes were evaluated under field conditions for agronomic traits and susceptibility to rust and leaf spot diseases. The study was conducted in two locations across two seasons. In addition, the 119 accessions were profiled with 13 selected SSR markers. Genotype and genotype by environment interaction effects were significant (p < 0.05) for days to flowering (DTF), late leaf spot score at 85 and 100 days after planting, pod yield (PDY), kernel yield (KY), hundred seed weight (HSW) and shelling percentage (SP). Principal components analysis revealed that plant stand, KY, SP, NPP (number of pods per plant), late leaf spot and rust disease scores accounted for the largest proportion of the total variation (71.9%) among the tested genotypes. Genotypes ICGV-SM 08587 and ICGV-SM 16579 had the most stable yields across the test environments. Moderate genetic variation was recorded with mean polymorphic information content of 0.34 and gene diversity of 0.63 using the SSR markers. The majority (74%) of genotypes showed high membership coefficients to their respective sub-populations, while 26% were admixtures after structure analysis. Much of the variation (69%) was found within populations due to genotypic differences. The present study identified genotypes ICGV-SM 06737, ICGV-SM 16575, ICG 12725 and ICGV-SM 16608 to be used for development of mapping population, which will be useful for groundnut improvement. This study provided a baseline information on characterization and selection of a large sample of groundnut genotypes in Tanzania for effective breeding and systematic conservation.
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Affiliation(s)
- Happy Daudi
- African Centre for Crop Improvement, School of Agricultural, Earth and Environmental Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
- Tanzania Agricultural Research Institute-Naliendele, P.O. Box 509, Mtwara, Tanzania
| | - Hussein Shimelis
- African Centre for Crop Improvement, School of Agricultural, Earth and Environmental Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Isack Mathew
- African Centre for Crop Improvement, School of Agricultural, Earth and Environmental Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | | | - Chris Ojiewo
- International Crops Research Institute for the Semi-Arid Tropics, Nairobi, Kenya
| | - Rajeev K. Varshney
- International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, India
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17
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Zhang H, Chu Y, Dang P, Tang Y, Jiang T, Clevenger JP, Ozias-Akins P, Holbrook C, Wang ML, Campbell H, Hagan A, Chen C. Identification of QTLs for resistance to leaf spots in cultivated peanut (Arachis hypogaea L.) through GWAS analysis. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:2051-2061. [PMID: 32144466 DOI: 10.1007/s00122-020-03576-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 02/28/2020] [Indexed: 06/10/2023]
Abstract
Two QTLs on ChrB09 significantly associated with both early and late leaf spots were identified by genome-wide association study in the US peanut mini-core collection. Early leaf spot (ELS) and late leaf spot (LLS) are two serious peanut diseases in the USA, causing tens of millions of dollars of annual economic losses. However, the genetic factors underlying resistance to those diseases in peanuts have not been well-studied. We conducted a genome-wide association study for the two peanut diseases using Affymetrix version 2.0 SNP array with 120 genotypes mainly coming from the US peanut mini-core collection. A total of 46 quantitative trait loci (QTLs) were identified with phenotypic variation explained (PVE) from 10.19 to 24.11%, in which eighteen QTLs are for resistance to ELS and 28 QTLs for LLS. Among the 46 QTLs, there were four and two major QTLs with PVE higher than 16.99% for resistance ELS and LLS, respectively. Of the six major QTLs, five were located on the B sub-genome and only one was on the A sub-genome, which suggested that the B sub-genome has more potential resistance genomic regions than the A sub-genome. In addition, two genomic regions on chromosome B09 were found to provide significant resistance to both ELS and LLS. A total of 74 non-redundant genes were identified as resistance genes, among which, twelve candidate genes were in significant genomic regions including two candidate genes for both ELS and LLS, and other ten candidate genes for ELS. The QTLs and candidate genes obtained from this study will be useful to breed peanuts for resistances to the diseases.
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Affiliation(s)
- Hui Zhang
- Department of Crop, Soil, and Environmental Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Ye Chu
- Center for Applied Genetic Technologies, University of Georgia, Tifton, GA, 31793, USA
| | - Phat Dang
- USDA-ARS National Peanut Research Laboratory, Dawson, GA, 39842, USA
| | - Yueyi Tang
- Department of Crop, Soil, and Environmental Sciences, Auburn University, Auburn, AL, 36849, USA
- Shandong Peanut Research Institute, Qingdao, 266100, China
| | - Tao Jiang
- Department of Crop, Soil, and Environmental Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Josh Paul Clevenger
- Center for Applied Genetic Technologies, University of Georgia, Tifton, GA, 31793, USA
| | - Peggy Ozias-Akins
- Center for Applied Genetic Technologies, University of Georgia, Tifton, GA, 31793, USA
| | - Corley Holbrook
- USDA-ARS Crop Genetics and Breeding Research, Tifton, GA, 31793, USA
| | - Ming Li Wang
- USDA-ARS Plant Genetic Resources Conservation, Griffin, GA, 30223, USA
| | - Howard Campbell
- Department of Entomology and Plant Pathology, Auburn University, Auburn, AL, 36849, USA
| | - Austin Hagan
- Department of Entomology and Plant Pathology, Auburn University, Auburn, AL, 36849, USA
| | - Charles Chen
- Department of Crop, Soil, and Environmental Sciences, Auburn University, Auburn, AL, 36849, USA.
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18
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Deshmukh DB, Marathi B, Sudini HK, Variath MT, Chaudhari S, Manohar SS, Rani CVD, Pandey MK, Pasupuleti J. Combining High Oleic Acid Trait and Resistance to Late Leaf Spot and Rust Diseases in Groundnut ( Arachis hypogaea L.). Front Genet 2020; 11:514. [PMID: 32587601 PMCID: PMC7298065 DOI: 10.3389/fgene.2020.00514] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 04/27/2020] [Indexed: 01/09/2023] Open
Abstract
High oleic trait, resistance to rust and late leaf spot (LLS) are important breeding objectives in groundnut. Rust and LLS cause significant economic loss, and high oleic trait is an industry preferred trait that enhances economic returns. This study reports marker-assisted selection to introgress high oleic content, resistance to LLS and rust into Kadiri 6 (K 6), a popular cultivar. The alleles for target traits were selected using linked allele-specific, simple sequence repeats and single nucleotide polymorphic markers. The F1s (384), intercrossed F1s (441), BC1F1s (380), BC1F2s (195), and BC1F3s (343) were genotyped to obtain desired allelic combination. Sixteen plants were identified with homozygous high oleic, LLS and rust resistance alleles in BC1F2, which were advanced to BC1F3 and evaluated for disease resistance, yield governing and nutritional quality traits. Phenotyping with Near-Infrared Reflectance Spectroscopy identified three lines (BC1F3-76, BC1F3-278, and BC1F3-296) with >80% oleic acid. The identified lines exhibit high levels of resistance to LLS and rust diseases (score of 3.0-4.0) with preferred pod and kernel features. The selected lines are under yield testing trials in multi-locations for release and commercialization. The lines reported here demonstrated combining high oleic trait with resistance to LLS and rust diseases.
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Affiliation(s)
- Dnyaneshwar B Deshmukh
- Professor Jayashankar Telangana State Agricultural University (PJTSAU), Hyderabad, India.,International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Balram Marathi
- Professor Jayashankar Telangana State Agricultural University (PJTSAU), Hyderabad, India
| | - Hari Kishan Sudini
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Murali T Variath
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Sunil Chaudhari
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Surendra S Manohar
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Ch V Durga Rani
- Professor Jayashankar Telangana State Agricultural University (PJTSAU), Hyderabad, India
| | - Manish K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Janila Pasupuleti
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
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19
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Comparative RNA-Seq profiling of a resistant and susceptible peanut ( Arachis hypogaea) genotypes in response to leaf rust infection caused by Puccinia arachidis. 3 Biotech 2020; 10:284. [PMID: 32550103 DOI: 10.1007/s13205-020-02270-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Accepted: 05/20/2020] [Indexed: 10/24/2022] Open
Abstract
The goal of this study was to identify differentially expressed genes (DEGs) responsible for peanut plant (Arachis hypogaea) defence against Puccinia arachidis (causative agent of rust disease). Genes were identified using a high-throughput RNA-sequencing strategy. In total, 86,380,930 reads were generated from RNA-Seq data of two peanut genotypes, JL-24 (susceptible), and GPBD-4 (resistant). Gene Ontology (GO) and KEGG analysis of DEGs revealed essential genes and their pathways responsible for defence response to P. arachidis. DEGs uniquely upregulated in resistant genotype included pathogenesis-related (PR) proteins, MLO such as protein, ethylene-responsive factor, thaumatin, and F-box, whereas, other genes down-regulated in susceptible genotype were Caffeate O-methyltransferase, beta-glucosidase, and transcription factors (WRKY, bZIP, MYB). Moreover, various genes, such as Chitinase, Cytochrome P450, Glutathione S-transferase, and R genes such as NBS-LRR were highly up-regulated in the resistant genotype, indicating their involvement in the plant defence mechanism. RNA-Seq analysis data were validated by RT-qPCR using 15 primer sets derived from DEGs producing high correlation value (R 2 = 0.82). A total of 4511 EST-SSRs were identified from the unigenes, which can be useful in evaluating genetic diversity among genotypes, QTL mapping, and plant variety improvement through marker-assisted breeding. These findings will help to understand the molecular defence mechanisms of the peanut plant in response to P. arachidis infection.
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Nayak SN, Hebbal V, Bharati P, Nadaf HL, Naidu GK, Bhat RS. Profiling of Nutraceuticals and Proximates in Peanut Genotypes Differing for Seed Coat Color and Seed Size. Front Nutr 2020; 7:45. [PMID: 32351969 PMCID: PMC7174653 DOI: 10.3389/fnut.2020.00045] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 03/23/2020] [Indexed: 11/13/2022] Open
Abstract
A total of 60 genotypes of peanut comprising 46 genotypes selected from ICRISAT mini core collection and 14 elite cultivars with differing kernel color and size were used to profile the nutritional parameters such as proximates (moisture, fat, ash, crude protein, crude fiber, carbohydrate content) and nutraceuticals (total polyphenol content and total antioxidant activity). The genotypes showed varied kernel color ranging from white to purple. Kernel skin color was quantified using colorimetry, and the color parameters were expressed as CIELAB color parameters. In total, nine morphological traits, six yield related traits, eight nutritional traits and eleven color parameters were observed across 60 genotypes. The sixty genotypes were grouped into ten clusters based on the color strength. Among them, Cluster-III with dark red seeds had the maximum fat content and total polyphenol content (TPC). Cluster-VI with light pink colored seeds had high antioxidant activity (AOA) and Cluster-X with white colored seeds had highest moisture and crude protein content. Color strength (K/S) was found to be positively correlated with TPC. Another color parameter, redness/greenness (a*) was found to be positively correlated with AOA. However, seed size was positively correlated with the crude protein content, but not with any other nutritional traits under study. The population studies based on the genotypic data indicated two distinct groups pertaining to botanical types of peanut. The marker-trait association (MTA) using single marker analysis indicated 75 major MTAs for most of the nutritional traits except for moisture content. The markers associated with nutritional parameters and other important yield related traits can further be utilized for genomics-assisted breeding for nutrient-rich peanuts.
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Affiliation(s)
- Spurthi N Nayak
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - Viresh Hebbal
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - Pushpa Bharati
- Department of Food Science and Nutrition, University of Agricultural Sciences, Dharwad, India
| | - Hajisab L Nadaf
- Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, India
| | - Gopalkrishna K Naidu
- Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, India
| | - Ramesh S Bhat
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
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Luo Z, Cui R, Chavarro C, Tseng YC, Zhou H, Peng Z, Chu Y, Yang X, Lopez Y, Tillman B, Dufault N, Brenneman T, Isleib TG, Holbrook C, Ozias-Akins P, Wang J. Mapping quantitative trait loci (QTLs) and estimating the epistasis controlling stem rot resistance in cultivated peanut (Arachis hypogaea). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1201-1212. [PMID: 31974667 DOI: 10.1007/s00122-020-03542-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 01/10/2020] [Indexed: 06/10/2023]
Abstract
A total of 33 additive stem rot QTLs were identified in peanut genome with nine of them consistently detected in multiple years or locations. And 12 pairs of epistatic QTLs were firstly reported for peanut stem rot disease. Stem rot in peanut (Arachis hypogaea) is caused by the Sclerotium rolfsii and can result in great economic loss during production. In this study, a recombinant inbred line population from the cross between NC 3033 (stem rot resistant) and Tifrunner (stem rot susceptible) that consists of 156 lines was genotyped by using 58 K peanut single nucleotide polymorphism (SNP) array and phenotyped for stem rot resistance at multiple locations and in multiple years. A linkage map consisting of 1451 SNPs and 73 simple sequence repeat (SSR) markers was constructed. A total of 33 additive quantitative trait loci (QTLs) for stem rot resistance were detected, and six of them with phenotypic variance explained of over 10% (qSR.A01-2, qSR.A01-5, qSR.A05/B05-1, qSR.A05/B05-2, qSR.A07/B07-1 and qSR.B05-1) can be consistently detected in multiple years or locations. Besides, 12 pairs of QTLs with epistatic (additive × additive) interaction were identified. An additive QTL qSR.A01-2 also with an epistatic effect interacted with a novel locus qSR.B07_1-1 to affect the percentage of asymptomatic plants in a row. A total of 193 candidate genes within 38 stem rot QTLs intervals were annotated with functions of biotic stress resistance such as chitinase, ethylene-responsive transcription factors and pathogenesis-related proteins. The identified stem rot resistance QTLs, candidate genes, along with the associated SNP markers in this study, will benefit peanut molecular breeding programs for improving stem rot resistance.
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Affiliation(s)
- Ziliang Luo
- Agronomy Department, University of Florida, Gainesville, FL, USA
| | - Renjie Cui
- Department of Plant Pathology, University of Georgia, Tifton, GA, USA
| | - Carolina Chavarro
- Center for Applied Genetic Technologies, Institute of Plant Breeding, Genetics and Genomics, The University of Georgia, Athens, GA, USA
| | - Yu-Chien Tseng
- Agronomy Department, University of Florida, Gainesville, FL, USA
- Department of Agronomy, National Chiayi University, Chiayi, Taiwan
| | - Hai Zhou
- Agronomy Department, University of Florida, Gainesville, FL, USA
| | - Ze Peng
- Agronomy Department, University of Florida, Gainesville, FL, USA
| | - Ye Chu
- Department of Horticulture, Institute for Plant Breeding, Genetics and Genomics, University of Georgia Tifton Campus, Tifton, GA, USA
| | - Xiping Yang
- Agronomy Department, University of Florida, Gainesville, FL, USA
| | - Yolanda Lopez
- Agronomy Department, University of Florida, Gainesville, FL, USA
| | - Barry Tillman
- Agronomy Department, University of Florida, Gainesville, FL, USA
- North Florida Research and Education Center, Marianna, FL, USA
| | - Nicholas Dufault
- Department of Plant Pathology, University of Florida, Gainesville, FL, USA
| | - Timothy Brenneman
- Department of Plant Pathology, University of Georgia, Tifton, GA, USA
| | - Thomas G Isleib
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, USA
| | - Corley Holbrook
- Crop Genetics and Breeding Research Unit, USDA-ARS, Tifton, GA, USA
| | - Peggy Ozias-Akins
- Department of Horticulture, Institute for Plant Breeding, Genetics and Genomics, University of Georgia Tifton Campus, Tifton, GA, USA
| | - Jianping Wang
- Agronomy Department, University of Florida, Gainesville, FL, USA.
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22
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Ojiewo CO, Janila P, Bhatnagar-Mathur P, Pandey MK, Desmae H, Okori P, Mwololo J, Ajeigbe H, Njuguna-Mungai E, Muricho G, Akpo E, Gichohi-Wainaina WN, Variath MT, Radhakrishnan T, Dobariya KL, Bera SK, Rathnakumar AL, Manivannan N, Vasanthi RP, Kumar MVN, Varshney RK. Advances in Crop Improvement and Delivery Research for Nutritional Quality and Health Benefits of Groundnut ( Arachis hypogaea L.). FRONTIERS IN PLANT SCIENCE 2020; 11:29. [PMID: 32153601 PMCID: PMC7046547 DOI: 10.3389/fpls.2020.00029] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Accepted: 01/13/2020] [Indexed: 05/28/2023]
Abstract
Groundnut is an important global food and oil crop that underpins agriculture-dependent livelihood strategies meeting food, nutrition, and income security. Aflatoxins, pose a major challenge to increased competitiveness of groundnut limiting access to lucrative markets and affecting populations that consume it. Other drivers of low competitiveness include allergens and limited shelf life occasioned by low oleic acid profile in the oil. Thus grain off-takers such as consumers, domestic, and export markets as well as processors need solutions to increase profitability of the grain. There are some technological solutions to these challenges and this review paper highlights advances in crop improvement to enhance groundnut grain quality and nutrient profile for food, nutrition, and economic benefits. Significant advances have been made in setting the stage for marker-assisted allele pyramiding for different aflatoxin resistance mechanisms-in vitro seed colonization, pre-harvest aflatoxin contamination, and aflatoxin production-which, together with pre- and post-harvest management practices, will go a long way in mitigating the aflatoxin menace. A breakthrough in aflatoxin control is in sight with overexpression of antifungal plant defensins, and through host-induced gene silencing in the aflatoxin biosynthetic pathway. Similarly, genomic and biochemical approaches to allergen control are in good progress, with the identification of homologs of the allergen encoding genes and development of monoclonal antibody based ELISA protocol to screen for and quantify major allergens. Double mutation of the allotetraploid homeologous genes, FAD2A and FAD2B, has shown potential for achieving >75% oleic acid as demonstrated among introgression lines. Significant advances have been made in seed systems research to bridge the gap between trait discovery, deployment, and delivery through innovative partnerships and action learning.
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Affiliation(s)
- Chris O. Ojiewo
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
| | - Pasupuleti Janila
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Pooja Bhatnagar-Mathur
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Manish K. Pandey
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Haile Desmae
- Research Program – West and Central Africa, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Bamako, Mali
| | - Patrick Okori
- Research Program – Eastern and Southern Africa, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Lilongwe, Malawi
| | - James Mwololo
- Research Program – Eastern and Southern Africa, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Lilongwe, Malawi
| | - Hakeem Ajeigbe
- Research Program – West and Central Africa, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Kano, Nigeria
| | - Esther Njuguna-Mungai
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
| | - Geoffrey Muricho
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
| | - Essegbemon Akpo
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
| | - Wanjiku N. Gichohi-Wainaina
- Research Program – Eastern and Southern Africa, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Lilongwe, Malawi
| | - Murali T. Variath
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Thankappan Radhakrishnan
- Indian Council of Agricultural Research - Directorate of Groundnut Research (ICAR-DGR), Junagadh, India
| | - Kantilal L. Dobariya
- Main Oilseeds Research Station, Junagadh Agricultural University (JAU), Junagadh, India
| | - Sandip Kumar Bera
- Indian Council of Agricultural Research - Directorate of Groundnut Research (ICAR-DGR), Junagadh, India
| | | | - Narayana Manivannan
- National Pulses Research Center, Tamil Nadu Agricultural University (TNAU), Pudukkottai, India
| | - Ragur Pandu Vasanthi
- Regional Agricultural Research Station, Acharya NG Ranga Agricultural University (ANGRAU), Tirupati, India
| | - Mallela Venkata Nagesh Kumar
- Department of Genetics and Plant Breeding, Professor Jayashankar Telangana State Agricultural University (PJTSAU), Hyderabad, India
| | - Rajeev K. Varshney
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
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23
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Yin D, Ji C, Song Q, Zhang W, Zhang X, Zhao K, Chen CY, Wang C, He G, Liang Z, Ma X, Li Z, Tang Y, Wang Y, Li K, Ning L, Zhang H, Zhao K, Li X, Yu H, Lei Y, Wang M, Ma L, Zheng H, Zhang Y, Zhang J, Hu W, Chen ZJ. Comparison of Arachis monticola with Diploid and Cultivated Tetraploid Genomes Reveals Asymmetric Subgenome Evolution and Improvement of Peanut. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2020; 7:1901672. [PMID: 32099754 PMCID: PMC7029647 DOI: 10.1002/advs.201901672] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 10/16/2019] [Indexed: 05/05/2023]
Abstract
Like many important crops, peanut is a polyploid that underwent polyploidization, evolution, and domestication. The wild allotetraploid peanut species Arachis monticola (A. monticola) is an important and unique link from the wild diploid species to cultivated tetraploid species in the Arachis lineage. However, little is known about A. monticola and its role in the evolution and domestication of this important crop. A fully annotated sequence of ≈2.6 Gb A. monticola genome and comparative genomics of the Arachis species is reported. Genomic reconstruction of 17 wild diploids from AA, BB, EE, KK, and CC groups and 30 tetraploids demonstrates a monophyletic origin of A and B subgenomes in allotetraploid peanuts. The wild and cultivated tetraploids undergo asymmetric subgenome evolution, including homoeologous exchanges, homoeolog expression bias, and structural variation (SV), leading to subgenome functional divergence during peanut domestication. Significantly, SV-associated homoeologs tend to show expression bias and correlation with pod size increase from diploids to wild and cultivated tetraploids. Moreover, genomic analysis of disease resistance genes shows the unique alleles present in the wild peanut can be introduced into breeding programs to improve some resistance traits in the cultivated peanuts. These genomic resources are valuable for studying polyploid genome evolution, domestication, and improvement of peanut production and resistance.
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Affiliation(s)
- Dongmei Yin
- College of AgronomyHenan Agricultural UniversityZhengzhou450002China
| | - Changmian Ji
- Biomarker Technologies CorporationBeijing101300China
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off‐Season Reproduction RegionsInstitute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesHaikou571101China
| | - Qingxin Song
- State Key Laboratory of Crop Genetics and Germplasm EnhancementNanjing Agricultural UniversityNanjing210095China
- Department of Molecular Biosciences and Center for Computational Biology and BioinformaticsThe University of Texas at AustinAustin78705USA
| | - Wanke Zhang
- State Key Lab of Plant GenomicsInstitute of Genetics and Developmental BiologyINASEEDChinese Academy of SciencesBeijing100101China
| | - Xingguo Zhang
- College of AgronomyHenan Agricultural UniversityZhengzhou450002China
| | - Kunkun Zhao
- College of AgronomyHenan Agricultural UniversityZhengzhou450002China
| | | | | | - Guohao He
- Department of Agricultural and Environmental SciencesTuskegee UniversityTuskegeeAL36088USA
| | - Zhe Liang
- Centre for Organismal StudiesUniversity of HeidelbergD‐69120HeidelbergGermany
| | - Xingli Ma
- College of AgronomyHenan Agricultural UniversityZhengzhou450002China
| | - Zhongfeng Li
- College of AgronomyHenan Agricultural UniversityZhengzhou450002China
| | - Yueyi Tang
- Shandong Peanut Research InstituteQingdao266000China
| | - Yuejun Wang
- National Key Laboratory of Plant Molecular GeneticsCenter for Excellence in Molecular Plant SciencesInstitute of Plant Physiology and EcologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghai200032China
| | - Ke Li
- College of AgronomyHenan Agricultural UniversityZhengzhou450002China
| | - Longlong Ning
- College of AgronomyHenan Agricultural UniversityZhengzhou450002China
| | - Hui Zhang
- College of AgricultureAuburn UniversityAuburnAL36849USA
| | - Kai Zhao
- College of AgronomyHenan Agricultural UniversityZhengzhou450002China
| | - Xuming Li
- Biomarker Technologies CorporationBeijing101300China
| | - Haiyan Yu
- Biomarker Technologies CorporationBeijing101300China
| | - Yan Lei
- Biomarker Technologies CorporationBeijing101300China
| | | | - Liming Ma
- Biomarker Technologies CorporationBeijing101300China
| | - Hongkun Zheng
- Biomarker Technologies CorporationBeijing101300China
| | - Yijing Zhang
- National Key Laboratory of Plant Molecular GeneticsCenter for Excellence in Molecular Plant SciencesInstitute of Plant Physiology and EcologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghai200032China
| | - Jinsong Zhang
- State Key Lab of Plant GenomicsInstitute of Genetics and Developmental BiologyINASEEDChinese Academy of SciencesBeijing100101China
| | - Wei Hu
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off‐Season Reproduction RegionsInstitute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesHaikou571101China
| | - Z. Jeffrey Chen
- State Key Laboratory of Crop Genetics and Germplasm EnhancementNanjing Agricultural UniversityNanjing210095China
- Department of Molecular Biosciences and Center for Computational Biology and BioinformaticsThe University of Texas at AustinAustin78705USA
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Shasidhar Y, Variath MT, Vishwakarma MK, Manohar SS, Gangurde SS, Sriswathi M, Sudini HK, Dobariya KL, Bera SK, Radhakrishnan T, Pandey MK, Janila P, Varshney RK. Improvement of three popular Indian groundnut varieties for foliar disease resistance and high oleic acid using SSR markers and SNP array in marker-assisted backcrossing. ACTA ACUST UNITED AC 2020. [DOI: 10.1016/j.cj.2019.07.001] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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25
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Chaudhari S, Khare D, Patil SC, Sundravadana S, Variath MT, Sudini HK, Manohar SS, Bhat RS, Pasupuleti J. Genotype × Environment Studies on Resistance to Late Leaf Spot and Rust in Genomic Selection Training Population of Peanut ( Arachis hypogaea L.). FRONTIERS IN PLANT SCIENCE 2019; 10:1338. [PMID: 31867023 PMCID: PMC6904303 DOI: 10.3389/fpls.2019.01338] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 09/25/2019] [Indexed: 05/25/2023]
Abstract
Foliar fungal diseases especially late leaf spot (LLS) and rust are the important production constraints across the peanut growing regions of the world. A set of 340 diverse peanut genotypes that includes accessions from gene bank of International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), elite breeding lines from the breeding program, and popular cultivars were screened for LLS and rust resistance and yield traits across three locations in India under natural and artificial disease epiphytotic conditions. The study revealed significant variation among the genotypes for LLS and rust resistance at different environments. Combined analysis of variance revealed significant environment (E) and genotype × environment (G×E) interactions for both the diseases indicating differential response of genotypes in different environments. The present study reported 31 genotypes as resistant to LLS and 66 to rust across the locations at 90 DAS with maturity duration 103 to 128 days. Twenty-eight genotypes showed resistance to both the diseases across the locations, of which 19 derived from A. cardenasii, five from A. hypogaea, and four from A. villosa. Site regression and Genotype by Genotype x Environment (GGE) biplot analysis identified eight genotypes as stable for LLS, 24 for rust and 14 for pod yield under disease pressure across the environments. Best performing environment specific genotypes were also identified. Nine genotypes resistant to LLS and rust showed 77% to 120% increase in pod yield over control under disease pressure with acceptable pod and kernel features that can be used as potential parents in LLS and rust resistance breeding. Pod yield increase as a consequence of resistance offered to foliar fungal diseases suggests the possibility of considering 'foliar fungal disease resistance' as a must-have trait in all the peanut cultivars that will be released for cultivation in rainfed ecologies in Asia and Africa. The phenotypic data of the present study will be used for designing genomic selection prediction models in peanut.
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Affiliation(s)
- Sunil Chaudhari
- Crop Improvement- Asia Program, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Dhirendra Khare
- Department of Plant Breeding and Genetics, Jawaharlal Nehru Krishi Vishwa Vidyalaya (JNKVV), Jabalpur, India
| | - Sudam C. Patil
- Oilseeds Research Station, Mahatma Phule Krishi Vidyapeeth (MPKV), Jalgaon, India
| | | | - Murali T. Variath
- Crop Improvement- Asia Program, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Hari K. Sudini
- Crop Improvement- Asia Program, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Surendra S. Manohar
- Crop Improvement- Asia Program, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Ramesh S. Bhat
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - Janila Pasupuleti
- Crop Improvement- Asia Program, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
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26
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Lu Q, Hong Y, Li S, Liu H, Li H, Zhang J, Lan H, Liu H, Li X, Wen S, Zhou G, Varshney RK, Jiang H, Chen X, Liang X. Genome-wide identification of microsatellite markers from cultivated peanut (Arachis hypogaea L.). BMC Genomics 2019; 20:799. [PMID: 31675924 PMCID: PMC6824139 DOI: 10.1186/s12864-019-6148-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Accepted: 09/29/2019] [Indexed: 12/03/2022] Open
Abstract
Background Microsatellites, or simple sequence repeats (SSRs), represent important DNA variations that are widely distributed across the entire plant genome and can be used to develop SSR markers, which can then be used to conduct genetic analyses and molecular breeding. Cultivated peanut (A. hypogaea L.), an important oil crop worldwide, is an allotetraploid (AABB, 2n = 4× = 40) plant species. Because of its complex genome, genomic marker development has been very challenging. However, sequencing of cultivated peanut genome allowed us to develop genomic markers and construct a high-density physical map. Results A total of 8,329,496 SSRs were identified, including 3,772,653, 4,414,961, and 141,882 SSRs that were distributed in subgenome A, B, and nine scaffolds, respectively. Based on the flanking sequences of the identified SSRs, a total of 973,984 newly developed SSR markers were developed in subgenome A (462,267), B (489,394), and nine scaffolds (22,323), with an average density of 392.45 markers per Mb. In silico PCR evaluation showed that an average of 88.32% of the SSR markers generated only one in silico-specific product in two tetraploid A. hypogaea varieties, Tifrunner and Shitouqi. A total of 39,599 common SSR markers were identified among the two A. hypogaea varieties and two progenitors, A. duranensis and A. ipaensis. Additionally, an amplification effectiveness of 44.15% was observed by real PCR validation. Moreover, a total of 1276 public SSR loci were integrated with the newly developed SSR markers. Finally, a previously known leaf spot quantitative trait locus (QTL), qLLS_T13_A05_7, was determined to be in a 1.448-Mb region on chromosome A05. In this region, a total of 819 newly developed SSR markers were located and 108 candidate genes were detected. Conclusions The availability of these newly developed and public SSR markers both provide a large number of molecular markers that could potentially be used to enhance the process of trait genetic analyses and improve molecular breeding strategies for cultivated peanut.
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Affiliation(s)
- Qing Lu
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Yanbin Hong
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Shaoxiong Li
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Hao Liu
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Haifen Li
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Jianan Zhang
- MolBreeding Biotechnology Co., Ltd., Shijiazhuang, China
| | - Haofa Lan
- MolBreeding Biotechnology Co., Ltd., Shijiazhuang, China
| | - Haiyan Liu
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Xingyu Li
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Shijie Wen
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Guiyuan Zhou
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Rajeev K Varshney
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - 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, Wuhan, 430062, China
| | - Xiaoping Chen
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China.
| | - Xuanqiang Liang
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China.
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Ojiewo C, Monyo E, Desmae H, Boukar O, Mukankusi‐Mugisha C, Thudi M, Pandey MK, Saxena RK, Gaur PM, Chaturvedi SK, Fikre A, Ganga Rao NPVR, SameerKumar CV, Okori P, Janila P, Rubyogo JC, Godfree C, Akpo E, Omoigui L, Nkalubo S, Fenta B, Binagwa P, Kilango M, Williams M, Mponda O, Okello D, Chichaybelu M, Miningou A, Bationo J, Sako D, Diallo S, Echekwu C, Umar ML, Oteng‐Frimpong R, Mohammed H, Varshney RK. Genomics, genetics and breeding of tropical legumes for better livelihoods of smallholder farmers. PLANT BREEDING = ZEITSCHRIFT FUR PFLANZENZUCHTUNG 2019; 138:487-499. [PMID: 31787790 PMCID: PMC6876654 DOI: 10.1111/pbr.12554] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Accepted: 11/04/2017] [Indexed: 05/04/2023]
Abstract
Legumes are important components of sustainable agricultural production, food, nutrition and income systems of developing countries. In spite of their importance, legume crop production is challenged by a number of biotic (diseases and pests) and abiotic stresses (heat, frost, drought and salinity), edaphic factors (associated with soil nutrient deficits) and policy issues (where less emphasis is put on legumes compared to priority starchy staples). Significant research and development work have been done in the past decade on important grain legumes through collaborative bilateral and multilateral projects as well as the CGIAR Research Program on Grain Legumes (CRP-GL). Through these initiatives, genomic resources and genomic tools such as draft genome sequence, resequencing data, large-scale genomewide markers, dense genetic maps, quantitative trait loci (QTLs) and diagnostic markers have been developed for further use in multiple genetic and breeding applications. Also, these mega-initiatives facilitated release of a number of new varieties and also dissemination of on-the-shelf varieties to the farmers. More efforts are needed to enhance genetic gains by reducing the time required in cultivar development through integration of genomics-assisted breeding approaches and rapid generation advancement.
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Affiliation(s)
- Chris Ojiewo
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)NairobiKenya
| | - Emmanuel Monyo
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)NairobiKenya
| | | | - Ousmane Boukar
- International Institute of Tropical Agriculture (IITA)KanoNigeria
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Stanley Nkalubo
- National Agricultural Research Organization (NARO)NamulongeUganda
| | - Berhanu Fenta
- Ethiopian Institute of Agricultural Research (EIAR)MelkassaEthiopia
| | - Papias Binagwa
- Selian Agricultural Research Institute (SARI)ArushaTanzania
| | | | | | | | - David Okello
- National Semi Arid Resources Research Institute (NaSARRI)SorotiUganda
| | | | - Amos Miningou
- Environmental Institute for Agricultural Research (INERA)OuagadougouBurkina Faso
| | - Joseph Bationo
- Environmental Institute for Agricultural Research (INERA)OuagadougouBurkina Faso
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28
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Desmae H, Janila P, Okori P, Pandey MK, Motagi BN, Monyo E, Mponda O, Okello D, Sako D, Echeckwu C, Oteng‐Frimpong R, Miningou A, Ojiewo C, Varshney RK. Genetics, genomics and breeding of groundnut ( Arachis hypogaea L.). PLANT BREEDING = ZEITSCHRIFT FUR PFLANZENZUCHTUNG 2019; 138:425-444. [PMID: 31598026 PMCID: PMC6774334 DOI: 10.1111/pbr.12645] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 04/10/2018] [Accepted: 07/13/2018] [Indexed: 05/04/2023]
Abstract
Groundnut is an important food and oil crop in the semiarid tropics, contributing to household food consumption and cash income. In Asia and Africa, yields are low attributed to various production constraints. This review paper highlights advances in genetics, genomics and breeding to improve the productivity of groundnut. Genetic studies concerning inheritance, genetic variability and heritability, combining ability and trait correlations have provided a better understanding of the crop's genetics to develop appropriate breeding strategies for target traits. Several improved lines and sources of variability have been identified or developed for various economically important traits through conventional breeding. Significant advances have also been made in groundnut genomics including genome sequencing, marker development and genetic and trait mapping. These advances have led to a better understanding of the groundnut genome, discovery of genes/variants for traits of interest and integration of marker-assisted breeding for selected traits. The integration of genomic tools into the breeding process accompanied with increased precision of yield trialing and phenotyping will increase the efficiency and enhance the genetic gain for release of improved groundnut varieties.
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Affiliation(s)
- Haile Desmae
- International Crop Research Institute for the Semi‐Arid Tropics (ICRISAT)BamakoMali
| | | | | | | | | | | | - Omari Mponda
- Division of Research and Development (DRD)Tanzania Agricultural Research Institute (TARI) ‐ NaliendeleMtwaraTanzania
| | - David Okello
- National Agricultural Research Organization (NARO)EntebbeUganda
| | | | | | | | - Amos Miningou
- Institut National d'Environnement et de Recherches Agricoles (INERA)OuagadougouBurkina Faso
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Nawade B, Mishra GP, Radhakrishnan T, Sangh C, Dobariya JR, Kundu R. Development of high oleic peanut lines through marker-assisted introgression of mutant ahFAD2 alleles and its fatty acid profiles under open-field and controlled conditions. 3 Biotech 2019; 9:243. [PMID: 31168436 DOI: 10.1007/s13205-019-1774-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Accepted: 05/20/2019] [Indexed: 12/13/2022] Open
Abstract
Peanut is one of the most important oilseed crops grown worldwide. In this study, the mutant ahFAD2 alleles conferring high oleic (HO) content are introgressed into an elite Indian cultivar GPBD4 which is also resistant to the foliar fungal diseases like rust and late leaf spot (LLS). The allele-specific PCR (AS-PCR) and cleaved amplified polymorphic sequences (CAPS) assays were used for the marker-assisted backcross (MABC) approach and 64 HO introgression lines (ILs) were generated. These ILs were tested for the FA compositions under the glasshouse and field conditions. The oleic acid and linoleic acid contents in the ILs were recorded to be between 68.94-82.33% and 1.74-10.87%, respectively, under glasshouse and 67.04-81.71% and 2.00-15.66%, respectively, under field conditions. The increase in the oleic acid content of the ILs over its recurrent parent (RP) was recorded to the tune of 28.78-53.80% and 33.70-62.96% under glasshouse and field conditions, respectively, indicating the stable expression of ahFAD2B gene in two different environments. On the contrary, linoleic acid showed 56.47-93.03% and 40.02-92.34% reduction in the ILs over its RP under glasshouse and field conditions, respectively. These ILs with a healthy FA profile can meet not only the nutritional requirements of a health-conscious society but also the industrial demands for better shelf life of oil and its products.
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Affiliation(s)
- Bhagwat Nawade
- 1Department of Biotechnology, Directorate of Groundnut Research, Junagadh, Gujarat 362001 India
- 2Department of Biosciences, Saurashtra University, Rajkot, 360005 India
| | - Gyan P Mishra
- 1Department of Biotechnology, Directorate of Groundnut Research, Junagadh, Gujarat 362001 India
- 3Division of Genetics, Indian Agricultural Research Institute, Pusa, New Delhi, 110012 India
| | - T Radhakrishnan
- 1Department of Biotechnology, Directorate of Groundnut Research, Junagadh, Gujarat 362001 India
| | - Chandramohan Sangh
- 1Department of Biotechnology, Directorate of Groundnut Research, Junagadh, Gujarat 362001 India
| | - J R Dobariya
- 1Department of Biotechnology, Directorate of Groundnut Research, Junagadh, Gujarat 362001 India
| | - Rahul Kundu
- 2Department of Biosciences, Saurashtra University, Rajkot, 360005 India
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Dodia SM, Joshi B, Gangurde SS, Thirumalaisamy PP, Mishra GP, Narandrakumar D, Soni P, Rathnakumar AL, Dobaria JR, Sangh C, Chitikineni A, Chanda SV, Pandey MK, Varshney RK, Thankappan R. Genotyping-by-sequencing based genetic mapping reveals large number of epistatic interactions for stem rot resistance in groundnut. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:1001-1016. [PMID: 30539317 DOI: 10.1007/s00122-018-3255-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Accepted: 11/30/2018] [Indexed: 05/24/2023]
Abstract
Genetic mapping identified large number of epistatic interactions indicating the complex genetic architecture for stem rot disease resistance. Groundnut (Arachis hypogaea) is an important global crop commodity and serves as a major source of cooking oil, diverse confectionery preparations and livestock feed. Stem rot disease caused by Sclerotium rolfsii is the most devastating disease of groundnut and can cause up to 100% yield loss. Genomic-assisted breeding (GAB) has potential for accelerated development of stem rot resistance varieties in short period with more precision. In this context, linkage analysis and quantitative trait locus (QTL) mapping for resistance to stem rot disease was performed in a bi-parental recombinant inbred line population developed from TG37A (susceptible) × NRCG-CS85 (resistant) comprising of 270 individuals. Genotyping-by-sequencing approach was deployed to generate single nucleotide polymorphism (SNP) genotyping data leading to development of a genetic map with 585 SNP loci spanning map distance of 2430 cM. QTL analysis using multi-season phenotyping and genotyping data could not detect any major main-effect QTL but identified 44 major epistatic QTLs with phenotypic variation explained ranging from 14.32 to 67.95%. Large number interactions indicate the complexity of genetic architecture of resistance to stem rot disease. A QTL of physical map length 5.2 Mb identified on B04 comprising 170 different genes especially leucine reach repeats, zinc finger motifs and ethyleneresponsive factors, etc., was identified. The identified genomic regions and candidate genes will further validate and facilitate marker development to deploy GAB for developing stem rot disease resistance groundnut varieties.
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Affiliation(s)
- Sneha M Dodia
- ICAR-Directorate of Groundnut Research (ICAR-DGR), Junagadh, 362001, India
| | - Binal Joshi
- ICAR-Directorate of Groundnut Research (ICAR-DGR), Junagadh, 362001, India
| | - Sunil S Gangurde
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | | | - Gyan P Mishra
- ICAR-Directorate of Groundnut Research (ICAR-DGR), Junagadh, 362001, India
- Indian Agricultural Research Institute (IARI), New Delhi, 110012, India
| | | | - Pooja Soni
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | | | - Jentilal R Dobaria
- ICAR-Directorate of Groundnut Research (ICAR-DGR), Junagadh, 362001, India
| | - Chandramohan Sangh
- ICAR-Directorate of Groundnut Research (ICAR-DGR), Junagadh, 362001, India
| | - Annapurna Chitikineni
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | | | - Manish K Pandey
- 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.
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31
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Varshney RK, Pandey MK, Bohra A, Singh VK, Thudi M, Saxena RK. Toward the sequence-based breeding in legumes in the post-genome sequencing era. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:797-816. [PMID: 30560464 PMCID: PMC6439141 DOI: 10.1007/s00122-018-3252-x] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 11/27/2018] [Indexed: 05/19/2023]
Abstract
Efficiency of breeding programs of legume crops such as chickpea, pigeonpea and groundnut has been considerably improved over the past decade through deployment of modern genomic tools and technologies. For instance, next-generation sequencing technologies have facilitated availability of genome sequence assemblies, re-sequencing of several hundred lines, development of HapMaps, high-density genetic maps, a range of marker genotyping platforms and identification of markers associated with a number of agronomic traits in these legume crops. Although marker-assisted backcrossing and marker-assisted selection approaches have been used to develop superior lines in several cases, it is the need of the hour for continuous population improvement after every breeding cycle to accelerate genetic gain in the breeding programs. In this context, we propose a sequence-based breeding approach which includes use of independent or combination of parental selection, enhancing genetic diversity of breeding programs, forward breeding for early generation selection, and genomic selection using sequencing/genotyping technologies. Also, adoption of speed breeding technology by generating 4-6 generations per year will be contributing to accelerate genetic gain. While we see a huge potential of the sequence-based breeding to revolutionize crop improvement programs in these legumes, we anticipate several challenges especially associated with high-quality and precise phenotyping at affordable costs, data analysis and management related to improving breeding operation efficiency. Finally, integration of improved seed systems and better agronomic packages with the development of improved varieties by using sequence-based breeding will ensure higher genetic gains in farmers' fields.
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Affiliation(s)
- Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
| | - Manish K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Abhishek Bohra
- ICAR-Indian Institute of Pulses Research (IIPR), Kanpur, 208024, India
| | - Vikas K Singh
- International Rice Research Institute (IRRI), IRRI South Asia Hub, ICRISAT, Hyderabad, 502324, India
| | - Mahendar Thudi
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Rachit K Saxena
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
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Chu Y, Chee P, Culbreath A, Isleib TG, Holbrook CC, Ozias-Akins P. Major QTLs for Resistance to Early and Late Leaf Spot Diseases Are Identified on Chromosomes 3 and 5 in Peanut ( Arachis hypogaea). FRONTIERS IN PLANT SCIENCE 2019; 10:883. [PMID: 31333711 PMCID: PMC6625158 DOI: 10.3389/fpls.2019.00883] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Accepted: 06/20/2019] [Indexed: 05/21/2023]
Abstract
Early and late leaf spots (LLSs) are the major foliar diseases of peanut responsible for severely decreased yield in the absence of intensive fungicide spray programs. Pyramiding host resistance to leaf spots in elite cultivars is a sustainable solution to mitigate the diseases. In order to determine the genetic control of leaf spot disease resistance in peanut, a recombinant inbred line population (Florida-07 × GP-NC WS16) segregating for resistance to both diseases was used to construct a SNP-based linkage map consisting of 855 loci. QTL mapping revealed three resistance QTLs for LLS qLLSA05 (phenotypic variation explained, PVE = 7-10%), qLLSB03 (PVE = 5-7%), and qLLSB05 (PVE = 15-41%) that were consistently expressed over multi-year analysis. Two QTL, qLLSA05 and qLLSB05, confirmed our previously published QTL-seq results. For early leaf spot, three resistance QTLs were identified in multiple years, two on chromosome A03 (PVE = 8-12%) and one on chromosome B03 (PVE = 13-20%), with the locus qELSA03_1.1 coinciding with the previously published genomic region for LLS resistance in GPBD4. Comparative analysis of the genomic regions spanning the QTLs suggests that resistance to early and LLSs are largely genetically independent. In addition, QTL analysis on yield showed that the presence of resistance allele in qLLSB03 and qLLSB05 loci might result in protection from yield loss caused by LLS disease damage. Finally, post hoc analysis of the RIL subpopulation that was not utilized in the QTL mapping revealed that the flanking markers for these QTLs can successfully select for resistant and susceptible lines, confirming the effectiveness of pyramiding these resistance loci to improve host-plant resistance in peanut breeding programs using marker-assisted selection.
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Affiliation(s)
- Ye Chu
- Department of Horticulture, The University of Georgia Tifton Campus, Tifton, GA, United States
| | - Peng Chee
- Department of Crop and Soil Sciences, The University of Georgia Tifton Campus, Tifton, GA, United States
- Institute of Plant Breeding, Genetics and Genomics, The University of Georgia Tifton Campus, Tifton, GA, United States
| | - Albert Culbreath
- Department of Plant Pathology, University of Georgia, Tifton, GA, United States
| | - Thomas G. Isleib
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - C. Corley Holbrook
- Institute of Plant Breeding, Genetics and Genomics, The University of Georgia Tifton Campus, Tifton, GA, United States
- United States Department of Agriculture (USDA), Agricultural Research Service, Crop Genetics and Breeding Research Unit, Tifton, GA, United States
| | - Peggy Ozias-Akins
- Department of Horticulture, The University of Georgia Tifton Campus, Tifton, GA, United States
- Institute of Plant Breeding, Genetics and Genomics, The University of Georgia Tifton Campus, Tifton, GA, United States
- *Correspondence: Peggy Ozias-Akins,
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Wang L, Zhou X, Ren X, Huang L, Luo H, Chen Y, Chen W, Liu N, Liao B, Lei Y, Yan L, Shen J, Jiang H. A Major and Stable QTL for Bacterial Wilt Resistance on Chromosome B02 Identified Using a High-Density SNP-Based Genetic Linkage Map in Cultivated Peanut Yuanza 9102 Derived Population. Front Genet 2018; 9:652. [PMID: 30619474 PMCID: PMC6305283 DOI: 10.3389/fgene.2018.00652] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 11/30/2018] [Indexed: 11/29/2022] Open
Abstract
Bacterial wilt (BW) is one of the important diseases limiting the production of peanut (Arachis hypogaea L.) worldwide. The sufficient precise information on the quantitative trait loci (QTL) for BW resistance is essential for facilitating gene mining and applying in molecular breeding. Cultivar Yuanza 9102 is BW resistant, bred from wide cross between cultivated peanut Baisha 1016 and a wild diploid peanut species A. chacoense with BW resistance. In this study, we aim to map the major QTLs related to BW-resistance in Yuanza 9102. A high density SNP-based genetic linkage map was constructed through double-digest restriction-site-associated DNA sequencing (ddRADseq) technique based on Yuanza 9102 derived recombinant inbred lines (RILs) population. The map contained 2,187 SNP markers distributed on 20 linkage groups (LGs) spanning 1566.10 cM, and showed good synteny with AA genome from A. duranensis and BB genome from A. ipaensis. Phenotypic frequencies of BW resistance among RIL population showed two-peak distribution in four environments. Four QTLs explaining 5.49 to 23.22% phenotypic variance were identified to be all located on chromosome B02. The major QTL, qBWB02.1 (12.17–23.33% phenotypic variation explained), was detected in three environments showing consistent and stable expression. Furthermore, there was positive additive effect among these major and minor QTLs. The major QTL region was mapped to a region covering 2.3 Mb of the pseudomolecule B02 of A. ipaensis which resides in 21 nucleotide-binding site -leucine-rich repeat (NBS-LRR) encoding genes. The result of the major stable QTL (qBWB02.1) not only offers good foundation for discovery of BW resistant gene but also provide opportunity for deployment of the QTL in marker-assisted breeding in peanut.
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Affiliation(s)
- Lifang Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.,College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 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, Wuhan, 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, Wuhan, 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, Wuhan, China
| | - 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, Wuhan, 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, Wuhan, 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, Wuhan, 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, Wuhan, 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, Wuhan, China
| | - 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, Wuhan, China
| | - Liying Yan
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Jinxiong Shen
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 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, Wuhan, China
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Banla EM, Dzidzienyo DK, Beatrice IE, Offei SK, Tongoona P, Desmae H. Groundnut production constraints and farmers' trait preferences: a pre-breeding study in Togo. JOURNAL OF ETHNOBIOLOGY AND ETHNOMEDICINE 2018; 14:75. [PMID: 30497497 PMCID: PMC6267023 DOI: 10.1186/s13002-018-0275-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 11/09/2018] [Indexed: 05/21/2023]
Abstract
BACKGROUND Groundnut is an important legume crop in Togo. However, groundnut yield has been steadily decreasing for decades as a result of lack of organized breeding program to address production constraints. Though, low yielding varieties and late leaf spot have been often reported as the most important constraints, there is no documented evidence. Identifying and documenting the major production constraints is a prerequisite for establishing a good breeding program with clearly defined priority objectives and breeding strategies. Thus, the objectives of this study were to identify groundnut production constraints and assess farmers' preferred traits. METHODS A participatory rural appraisal approach was used to collect data on agronomic practices, farmers' preferences, and possible threats to production through individual and group interviews. Three regions and three villages per region were selected based on the representativeness of groundnut production systems. In each village, 20 farmers were randomly selected and interviewed; thus, a total of 180 farmers were interviewed. Content analysis was carried out for qualitative data and for quantitative data generated within and across regions, comparative descriptive statistics were carried out. Differences in perception and preferences were assessed using chi-square tests. RESULTS The study has revealed that, though there were some variation across the regions, traits pertaining to yield such as pod yield (66.66%) and pod size (12.12%) were the most important. Leaf spot diseases, rosette and peanut bud necrosis (37.77%) and insects such as pod sucking bug and bruchid (27.77%) were considered to be the most important constraints limiting groundnut production. Among diseases, farmers in all the three regions indicated that late leaf spot is of economic importance which they associated to various causes such as maturity, drought, or insects. No gender differences were observed for the perception of constraints and groundnut traits preferences. Land size is significantly influenced by age and gender. Besides, farmers have pointed the lack of improved varieties and the unavailability of groundnut seeds highlighting the necessity of a sustainable groundnut seed system linked with a strong breeding program. CONCLUSION This study has enabled understanding of the farming practices, constraints, and farmers preferred characteristics, thus providing the basis for a participatory breeding program in Togo which should consider that farmers perceive low yielding varieties and diseases as major constraints to production.
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Affiliation(s)
- Essohouna Modom Banla
- Togolese Research Institute of Agriculture (ITRA), 13BP267 Lome, Togo
- International Crops Research Institute for the Semi-Arid tropic (ICRISAT-WCA), BP320 Bamako, Mali
| | - Daniel Kwadjo Dzidzienyo
- West Africa Centre for Crop Improvement (WACCI), University of Ghana (UG), PMB 30, Legon, Accra, Ghana
| | - Ifie Elohor Beatrice
- West Africa Centre for Crop Improvement (WACCI), University of Ghana (UG), PMB 30, Legon, Accra, Ghana
| | - Samuel Kwame Offei
- West Africa Centre for Crop Improvement (WACCI), University of Ghana (UG), PMB 30, Legon, Accra, Ghana
| | - Pangirayi Tongoona
- West Africa Centre for Crop Improvement (WACCI), University of Ghana (UG), PMB 30, Legon, Accra, Ghana
| | - Haile Desmae
- International Crops Research Institute for the Semi-Arid tropic (ICRISAT-WCA), BP320 Bamako, Mali
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Shirasawa K, Bhat RS, Khedikar YP, Sujay V, Kolekar RM, Yeri SB, Sukruth M, Cholin S, Asha B, Pandey MK, Varshney RK, Gowda MVC. Sequencing Analysis of Genetic Loci for Resistance for Late Leaf Spot and Rust in Peanut ( Arachis hypogaea L.). FRONTIERS IN PLANT SCIENCE 2018; 9:1727. [PMID: 30534132 PMCID: PMC6275244 DOI: 10.3389/fpls.2018.01727] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 11/07/2018] [Indexed: 05/26/2023]
Abstract
The aim of this study was to identify candidate resistance genes for late leaf spot (LLS) and rust diseases in peanut (Arachis hypogaea L.). We used a double-digest restriction-site associated DNA sequencing (ddRAD-Seq) technique based on next-generation sequencing (NGS) for genotyping analysis across the recombinant inbred lines (RILs) derived from a cross between a susceptible line, TAG 24, and a resistant line, GPBD 4. A total of 171 SNPs from the ddRAD-Seq together with 282 markers published in the previous studies were mapped on a genetic map covering 1510.1 cM. Subsequent quantitative trait locus (QTL) analysis revealed major genetic loci for LLS and rust resistance on chromosomes A02 and A03, respectively. Heterogeneous inbred family-derived near isogenic lines and the pedigree of the resistant gene donor, A. cardenasii Krapov. & W.C. Greg., including the resistant derivatives of ICGV 86855 and VG 9514 as well as GPBD 4, were employed for whole-genome resequencing analysis. The results indicated the QTL candidates for LLS and rust resistance were located in 1.4- and 2.7-Mb genome regions on A02 and A03, respectively. In these regions, four and six resistance-related genes with deleterious mutations were selected as candidates for LLS and rust resistance, respectively. These delimited genomic regions may be beneficial in breeding programs aimed at improving disease resistance and enhancing peanut productivity.
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Affiliation(s)
- Kenta Shirasawa
- Department of Frontier Research and Development, Kazusa DNA Research Institute (KDRI), Chiba, Japan
| | - Ramesh S. Bhat
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - Yogendra P. Khedikar
- Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, India
| | - Venkataswamy Sujay
- Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, India
| | - Rohini M. Kolekar
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | | | - Mallenahally Sukruth
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - Sarvamangala Cholin
- Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, India
| | - Byregowda Asha
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - Manish K. Pandey
- Center of Excellence in Genomics and System Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rajeev K. Varshney
- Center of Excellence in Genomics and System Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Makanahally V. C. Gowda
- Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, India
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Chopra R, Simpson CE, Hillhouse A, Payton P, Sharma J, Burow MD. SNP genotyping reveals major QTLs for plant architectural traits between A-genome peanut wild species. Mol Genet Genomics 2018; 293:1477-1491. [PMID: 30069598 DOI: 10.1007/s00438-018-1472-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Accepted: 07/09/2018] [Indexed: 12/19/2022]
Abstract
KEY MESSAGE QTL mapping of important architectural traits was successfully applied to an A-genome diploid population using gene-specific variations. Peanut wild species are an important source of resistance to biotic and possibly abiotic stress; because these species differ from the cultigen in many traits, we have undertaken to identify QTLs for several plant architecture-related traits. In this study, we took recently identified SNPs, converted them into markers, and identified QTLs for architectural traits. SNPs from RNASeq data distinguishing two parents, A. duranensis (KSSc38901) and A. cardenasii (GKP10017), of a mapping population were identified using three references-A. duranensis V14167 genome sequence, and transcriptome sequences of A. duranensis KSSc38901 and OLin. More than 49,000 SNPs differentiated the parents, and 87.9% of the 190 SNP calls tested were validated. SNPs were then genotyped on 91 F2 lines using KASP chemistry on a Roche LightCycler 480 and a Fluidigm Biomark HD, and using SNPType chemistry on the Fluidigm Biomark HD. A linkage map was constructed having ten linkage groups, with 144 loci spanning a total map distance of 1040 cM. Comparison of the A-genome map to the A. duranensis genome sequence revealed a high degree of synteny. QTL analysis was also performed on the mapping population for important architectural traits. Fifteen definitive and 16 putative QTLs for petiole length, leaflet length and width, leaflet area, leaflet length/width ratio, main stem height, presence of flowers on the main stem, and seed mass were identified. Results demonstrate that SNPs identified from transcriptome sequencing could be converted to KASP or SNPType markers with a high success rate, and used to identify alleles with significant phenotypic effects, These could serve as information useful for introgression of alleles into cultivated peanut from wild species and have the potential to allow breeders to more easily fix these alleles using a marker-assisted backcrossing approach.
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Affiliation(s)
- Ratan Chopra
- Department of Plant and Soil Sciences, Texas Tech University, Lubbock, TX, 79409, USA
| | | | - Andrew Hillhouse
- Department of Molecular and Cellular Medicine, Texas A&M University, College Station, TX, 77843, USA
| | | | - Jyotsna Sharma
- Department of Plant and Soil Sciences, Texas Tech University, Lubbock, TX, 79409, USA
| | - Mark D Burow
- Department of Plant and Soil Sciences, Texas Tech University, Lubbock, TX, 79409, USA.
- Texas A&M AgriLife Research, Lubbock, TX, 79403, USA.
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37
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Mondal S, Badigannavar AM. Mapping of a dominant rust resistance gene revealed two R genes around the major Rust_QTL in cultivated peanut (Arachis hypogaea L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:1671-1681. [PMID: 29744525 DOI: 10.1007/s00122-018-3106-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 05/02/2018] [Indexed: 05/16/2023]
Abstract
A consensus rust QTL was identified within a 1.25 cM map interval of A03 chromosome in cultivated peanut. This map interval contains a TIR-NB-LRR R gene and four pathogenesis-related genes. Disease resistance in plants is manifested due to the specific interaction between the R gene product and its cognate avirulence gene product (AVR) in the pathogen. Puccinia arachidis Speg. causes rust disease and inflicts economic damages to peanut. Till now, no experimental evidence is known for the action of R gene in peanut for rust resistance. A fine mapping approach towards the development of closely linked markers for rust resistance gene was undertaken in this study. Phenotyping of an RIL population at five environments for field rust score and subsequent QTL analysis has identified a 1.25 cM map interval that harbored a consensus major Rust_QTL in A03 chromosome. This Rust_QTL is flanked by two SSR markers: FRS72 and SSR_GO340445. Both the markers clearly identified strong association of the mapped region with rust reaction in both resistant and susceptible genotypes from a collection of 95 cultivated peanut germplasm. This 1.25 cM map interval contained 331.7 kb in the physical map of A. duranensis and had a TIR-NB-LRR category R gene (Aradu.Z87JB) and four glucan endo-1,3 β glucosidase genes (Aradu.RKA6 M, Aradu.T44NR, Aradu.IWV86 and Aradu.VG51Q). Another resistance gene analog was also found in the vicinity of mapped Rust_QTL. The sequence between SSR markers, FRS72 and FRS49, contains an LRR-PK (Aradu.JG217) which is equivalent to RHG4 in soybean. Probably, the protein kinase domain in AhRHG4 acts as an integrated decoy for the cognate AVR from Puccinia arachidis and helps the TIR-NB-LRR R-protein to initiate a controlled program cell death in resistant peanut plants.
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Affiliation(s)
- Suvendu Mondal
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, 400085, India.
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400094, India.
| | - Anand M Badigannavar
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, 400085, India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400094, India
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38
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Hu XH, Zhang SZ, Miao HR, Cui FG, Shen Y, Yang WQ, Xu TT, Chen N, Chi XY, Zhang ZM, Chen J. High-Density Genetic Map Construction and Identification of QTLs Controlling Oleic and Linoleic Acid in Peanut using SLAF-seq and SSRs. Sci Rep 2018; 8:5479. [PMID: 29615772 PMCID: PMC5883025 DOI: 10.1038/s41598-018-23873-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 03/20/2018] [Indexed: 11/08/2022] Open
Abstract
The cultivated peanut, A. hypogaea L., is an important oil and food crop globally.High-density genetic linkage mapping is a valuable and effective method for exploring complex quantitative traits. In this context, a recombinant inbred line (RIL) of 146 lines was developed by crossing Huayu28 and P76. We developed 433,679 high-quality SLAFs, of which 29,075 were polymorphic. 4,817 SLAFs were encoded and grouped into different segregation patterns. A high-resolution genetic map containing 2,334 markers (68 SSRs and 2,266 SNPs) on 20 linkage groups (LGs) spanning 2586.37 cM was constructed for peanut. The average distance between adjacent markers was 2.25 cM. Based on phenotyping in seven environments, QTLs for oleic acid (C18:1), linoleic acid (C18:2) and the ratio of oleic acid to linoleic acid (O/L) were identified and positioned on linkage groups A03, A04, A09, B09 and B10. Marker2575339 and Marker2379598 in B09 were associated with C18:1, C18:2 and O/L in seven environments, Marker4391589 and Marker4463600 in A09 were associated with C18:1, C18:2 and O/L in six environments. This map exhibits high resolution and accuracy, which will facilitate QTL discovery for essential agronomic traits in peanut.
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Affiliation(s)
- X H Hu
- Shandong Peanut Research Institute, Qingdao, 266100, P.R. China
| | - S Z Zhang
- Shandong Peanut Research Institute, Qingdao, 266100, P.R. China
| | - H R Miao
- Shandong Peanut Research Institute, Qingdao, 266100, P.R. China
| | - F G Cui
- Shandong Peanut Research Institute, Qingdao, 266100, P.R. China
| | - Y Shen
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, P.R. China
| | - W Q Yang
- Shandong Peanut Research Institute, Qingdao, 266100, P.R. China
| | - T T Xu
- Shandong Peanut Research Institute, Qingdao, 266100, P.R. China
| | - N Chen
- Shandong Peanut Research Institute, Qingdao, 266100, P.R. China
| | - X Y Chi
- Shandong Peanut Research Institute, Qingdao, 266100, P.R. China
| | - Z M Zhang
- Shandong Peanut Research Institute, Qingdao, 266100, P.R. China
| | - J Chen
- Shandong Peanut Research Institute, Qingdao, 266100, P.R. China.
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Clevenger J, Chu Y, Chavarro C, Botton S, Culbreath A, Isleib TG, Holbrook CC, Ozias-Akins P. Mapping Late Leaf Spot Resistance in Peanut ( Arachis hypogaea) Using QTL-seq Reveals Markers for Marker-Assisted Selection. FRONTIERS IN PLANT SCIENCE 2018; 9:83. [PMID: 29459876 PMCID: PMC5807350 DOI: 10.3389/fpls.2018.00083] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Accepted: 01/15/2018] [Indexed: 05/21/2023]
Abstract
Late leaf spot (LLS; Cercosporidium personatum) is a major fungal disease of cultivated peanut (Arachis hypogaea). A recombinant inbred line population segregating for quantitative field resistance was used to identify quantitative trait loci (QTL) using QTL-seq. High rates of false positive SNP calls using established methods in this allotetraploid crop obscured significant QTLs. To resolve this problem, robust parental SNPs were first identified using polyploid-specific SNP identification pipelines, leading to discovery of significant QTLs for LLS resistance. These QTLs were confirmed over 4 years of field data. Selection with markers linked to these QTLs resulted in a significant increase in resistance, showing that these markers can be immediately applied in breeding programs. This study demonstrates that QTL-seq can be used to rapidly identify QTLs controlling highly quantitative traits in polyploid crops with complex genomes. Markers identified can then be deployed in breeding programs, increasing the efficiency of selection using molecular tools. Key Message: Field resistance to late leaf spot is a quantitative trait controlled by many QTLs. Using polyploid-specific methods, QTL-seq is faster and more cost effective than QTL mapping.
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Affiliation(s)
- Josh Clevenger
- Center for Applied Genetic Technologies, Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States
| | - Ye Chu
- Department of Horticulture, Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Tifton, GA, United States
| | - Carolina Chavarro
- Center for Applied Genetic Technologies, Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States
| | - Stephanie Botton
- Department of Horticulture, Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Tifton, GA, United States
| | - Albert Culbreath
- Department of Plant Pathology, University of Georgia, Tifton, GA, United States
| | - Thomas G. Isleib
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - C. C. Holbrook
- United States Department of Agriculture-Agricultural Research Service, Tifton, GA, United States
| | - Peggy Ozias-Akins
- Department of Horticulture, Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Tifton, GA, United States
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40
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Classical and Molecular Approaches for Mapping of Genes and Quantitative Trait Loci in Peanut. ACTA ACUST UNITED AC 2017. [DOI: 10.1007/978-3-319-63935-2_7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
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41
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Zongo A, Khera P, Sawadogo M, Shasidhar Y, Sriswathi M, Vishwakarma MK, Sankara P, Ntare BR, Varshney RK, Pandey MK, Desmae H. SSR markers associated to early leaf spot disease resistance through selective genotyping and single marker analysis in groundnut ( Arachis hypogaea L.). BIOTECHNOLOGY REPORTS (AMSTERDAM, NETHERLANDS) 2017; 15:132-137. [PMID: 28856109 PMCID: PMC5565779 DOI: 10.1016/j.btre.2017.07.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Revised: 07/27/2017] [Accepted: 07/28/2017] [Indexed: 11/28/2022]
Abstract
Groundnut (Arachis hypogaea L.) is an important oilseed and food crop of the world. Breeding for disease resistance is one of major objectives in groundnut breeding. Early leaf spot (ELS) is one of the major destructive diseases worldwide and in West Africa, particularly in Burkina Faso causing significant yield losses. Conventional breeding approaches have been employed to develop improved varieties resistant to ELS. Molecular dissection of resistance traits using QTL analysis can improve the efficiency of resistance breeding. In the present study, an ELS susceptible genotype QH243C and an ELS resistant genotype NAMA were crossed and the F2 population genotypic and F3 progenies phenotypic data were used for marker-trait association analysis. Parents were surveyed with 179 simple sequence repeat (SSR) markers out of which 103 SSR markers were found to be polymorphic between the parents. These polymorphic markers were utilized to genotype the F2 population followed by marker-trait analysis through single marker analysis (SMA) and selective genotyping of the population using 23 resistant and 23 susceptible genotypes. The SMA revealed 13 markers while the selective genotyping method identified 8 markers associated with ELS resistance. Four markers (GM1911, GM1883, GM1000 and Seq13E09) were found common between the two trait mapping methods. These four markers could be employed in genomics-assisted breeding for selection of ELS resistant genotypes in groundnut breeding.
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Affiliation(s)
- Adama Zongo
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), BP 320 Bamako, Mali
- University Ouaga 1Joseph Ki Zerbo, BP 7021 Ouagadougou, Burkina Faso
| | - Pawan Khera
- International Crops Research Institute for the Semi-AridTropics (ICRISAT), Hyderabad 502 324, India
| | | | - Yaduru Shasidhar
- International Crops Research Institute for the Semi-AridTropics (ICRISAT), Hyderabad 502 324, India
| | - Manda Sriswathi
- International Crops Research Institute for the Semi-AridTropics (ICRISAT), Hyderabad 502 324, India
| | - Manish K. Vishwakarma
- International Crops Research Institute for the Semi-AridTropics (ICRISAT), Hyderabad 502 324, India
| | - Philippe Sankara
- University Ouaga 1Joseph Ki Zerbo, BP 7021 Ouagadougou, Burkina Faso
| | - Bonny R. Ntare
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), BP 320 Bamako, Mali
| | - Rajeev K. Varshney
- International Crops Research Institute for the Semi-AridTropics (ICRISAT), Hyderabad 502 324, India
| | - Manish K. Pandey
- International Crops Research Institute for the Semi-AridTropics (ICRISAT), Hyderabad 502 324, India
| | - Haile Desmae
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), BP 320 Bamako, Mali
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42
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Pandey MK, Khan AW, Singh VK, Vishwakarma MK, Shasidhar Y, Kumar V, Garg V, Bhat RS, Chitikineni A, Janila P, Guo B, Varshney RK. QTL-seq approach identified genomic regions and diagnostic markers for rust and late leaf spot resistance in groundnut (Arachis hypogaea L.). PLANT BIOTECHNOLOGY JOURNAL 2017; 15:927-941. [PMID: 28028892 PMCID: PMC5506652 DOI: 10.1111/pbi.12686] [Citation(s) in RCA: 104] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Revised: 12/20/2016] [Accepted: 12/21/2016] [Indexed: 05/12/2023]
Abstract
Rust and late leaf spot (LLS) are the two major foliar fungal diseases in groundnut, and their co-occurrence leads to significant yield loss in addition to the deterioration of fodder quality. To identify candidate genomic regions controlling resistance to rust and LLS, whole-genome resequencing (WGRS)-based approach referred as 'QTL-seq' was deployed. A total of 231.67 Gb raw and 192.10 Gb of clean sequence data were generated through WGRS of resistant parent and the resistant and susceptible bulks for rust and LLS. Sequence analysis of bulks for rust and LLS with reference-guided resistant parent assembly identified 3136 single-nucleotide polymorphisms (SNPs) for rust and 66 SNPs for LLS with the read depth of ≥7 in the identified genomic region on pseudomolecule A03. Detailed analysis identified 30 nonsynonymous SNPs affecting 25 candidate genes for rust resistance, while 14 intronic and three synonymous SNPs affecting nine candidate genes for LLS resistance. Subsequently, allele-specific diagnostic markers were identified for three SNPs for rust resistance and one SNP for LLS resistance. Genotyping of one RIL population (TAG 24 × GPBD 4) with these four diagnostic markers revealed higher phenotypic variation for these two diseases. These results suggest usefulness of QTL-seq approach in precise and rapid identification of candidate genomic regions and development of diagnostic markers for breeding applications.
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Affiliation(s)
- Manish K. Pandey
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Aamir W. Khan
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Vikas K. Singh
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Manish K. Vishwakarma
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Yaduru Shasidhar
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Vinay Kumar
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Vanika Garg
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Ramesh S. Bhat
- Department of BiotechnologyUniversity of Agricultural SciencesDharwadIndia
| | - Annapurna Chitikineni
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Pasupuleti Janila
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Baozhu Guo
- Crop Protection and Management Research UnitUSDA‐Agricultural Research ServiceTiftonGAUSA
| | - Rajeev K. Varshney
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
- School of Plant Biology and Institute of AgricultureThe University of Western AustraliaCrawleyWAAustralia
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43
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Clevenger J, Chu Y, Chavarro C, Agarwal G, Bertioli DJ, Leal-Bertioli SCM, Pandey MK, Vaughn J, Abernathy B, Barkley NA, Hovav R, Burow M, Nayak SN, Chitikineni A, Isleib TG, Holbrook CC, Jackson SA, Varshney RK, Ozias-Akins P. Genome-wide SNP Genotyping Resolves Signatures of Selection and Tetrasomic Recombination in Peanut. MOLECULAR PLANT 2017; 10:309-322. [PMID: 27993622 PMCID: PMC5315502 DOI: 10.1016/j.molp.2016.11.015] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Revised: 11/07/2016] [Accepted: 11/21/2016] [Indexed: 05/19/2023]
Abstract
Peanut (Arachis hypogaea; 2n = 4x = 40) is a nutritious food and a good source of vitamins, minerals, and healthy fats. Expansion of genetic and genomic resources for genetic enhancement of cultivated peanut has gained momentum from the sequenced genomes of the diploid ancestors of cultivated peanut. To facilitate high-throughput genotyping of Arachis species, 20 genotypes were re-sequenced and genome-wide single nucleotide polymorphisms (SNPs) were selected to develop a large-scale SNP genotyping array. For flexibility in genotyping applications, SNPs polymorphic between tetraploid and diploid species were included for use in cultivated and interspecific populations. A set of 384 accessions was used to test the array resulting in 54 564 markers that produced high-quality polymorphic clusters between diploid species, 47 116 polymorphic markers between cultivated and interspecific hybrids, and 15 897 polymorphic markers within A. hypogaea germplasm. An additional 1193 markers were identified that illuminated genomic regions exhibiting tetrasomic recombination. Furthermore, a set of elite cultivars that make up the pedigree of US runner germplasm were genotyped and used to identify genomic regions that have undergone positive selection. These observations provide key insights on the inclusion of new genetic diversity in cultivated peanut and will inform the development of high-resolution mapping populations. Due to its efficiency, scope, and flexibility, the newly developed SNP array will be very useful for further genetic and breeding applications in Arachis.
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Affiliation(s)
- Josh Clevenger
- Department of Horticulture and Institute of Plant Breeding, Genetics & Genomics, The University of Georgia, 2356 Rainwater Road, Tifton, GA 31793, USA
| | - Ye Chu
- Department of Horticulture and Institute of Plant Breeding, Genetics & Genomics, The University of Georgia, 2356 Rainwater Road, Tifton, GA 31793, USA
| | - Carolina Chavarro
- Center for Applied Genetic Technologies and Institute of Plant Breeding, Genetics & Genomics, The University of Georgia, Athens, GA 30602, USA
| | - Gaurav Agarwal
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India
| | - David J Bertioli
- Center for Applied Genetic Technologies and Institute of Plant Breeding, Genetics & Genomics, The University of Georgia, Athens, GA 30602, USA; University of Brasília, Institute of Biological Sciences, Campus Darcy Ribeiro, 70910-900 Brasília, DF, Brazil
| | - Soraya C M Leal-Bertioli
- Center for Applied Genetic Technologies and Institute of Plant Breeding, Genetics & Genomics, The University of Georgia, Athens, GA 30602, USA; Embrapa Genetic Resources and Biotechnology, 70770-917 Brasília, DF, Brazil
| | - Manish K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India
| | - Justin Vaughn
- Center for Applied Genetic Technologies and Institute of Plant Breeding, Genetics & Genomics, The University of Georgia, Athens, GA 30602, USA
| | - Brian Abernathy
- Center for Applied Genetic Technologies and Institute of Plant Breeding, Genetics & Genomics, The University of Georgia, Athens, GA 30602, USA
| | | | - Ran Hovav
- Agricultural Research Organization, Plant Sciences Institute, 7528809 Rishon LeZion, Israel
| | - Mark Burow
- Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409-2122, USA
| | - Spurthi N Nayak
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India
| | - Annapurna Chitikineni
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India
| | - Thomas G Isleib
- Department of Crop and Soil Sciences, North Carolina State University, Box 7629, Raleigh, NC 28695-7629, USA
| | | | - Scott A Jackson
- Center for Applied Genetic Technologies and Institute of Plant Breeding, Genetics & Genomics, The University of Georgia, Athens, GA 30602, USA
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India
| | - Peggy Ozias-Akins
- Department of Horticulture and Institute of Plant Breeding, Genetics & Genomics, The University of Georgia, 2356 Rainwater Road, Tifton, GA 31793, USA.
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Pandey MK, Wang H, Khera P, Vishwakarma MK, Kale SM, Culbreath AK, Holbrook CC, Wang X, Varshney RK, Guo B. Genetic Dissection of Novel QTLs for Resistance to Leaf Spots and Tomato Spotted Wilt Virus in Peanut ( Arachis hypogaea L.). FRONTIERS IN PLANT SCIENCE 2017; 8:25. [PMID: 28197153 PMCID: PMC5281592 DOI: 10.3389/fpls.2017.00025] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 01/05/2017] [Indexed: 05/20/2023]
Abstract
Peanut is an important crop, economically and nutritiously, but high production cost is a serious challenge to peanut farmers as exemplified by chemical spray to control foliar diseases such as leaf spots and thrips, the vectors of tomato spotted wilt virus (TSWV). The objective of this research was to map the quantitative trait loci (QTLs) for resistance to leaf spots and TSWV in one recombinant inbred line (RIL) mapping population of "Tifrunner × GT-C20" for identification of linked markers for marker-assisted breeding. Here, we report the improved genetic linkage map with 418 marker loci with a marker density of 5.3 cM/loci and QTLs associated with multi-year (2010-2013) field phenotypes of foliar disease traits, including early leaf spot (ELS), late leaf spot (LLS), and TSWV. A total of 42 QTLs were identified with phenotypic variation explained (PVE) from 6.36 to 15.6%. There were nine QTLs for resistance to ELS, 22 QTLs for LLS, and 11 QTLs for TSWV, including six, five, and one major QTLs with PVE higher than 10% for resistance to each disease, respectively. Of the total 42 QTLs, 34 were mapped on the A sub-genome and eight mapped on the B sub-genome suggesting that the A sub-genome harbors more resistance genes than the B sub-genome. This genetic linkage map was also compared with two diploid peanut physical maps, and the overall co-linearity was 48.4% with an average co-linearity of 51.7% for the A sub-genome and 46.4% for the B sub-genome. The identified QTLs associated markers and potential candidate genes will be studied further for possible application in molecular breeding in peanut genetic improvement for disease resistance.
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Affiliation(s)
- Manish K. Pandey
- Crop Protection and Management Research Unit, United States Department of Agriculture, Agricultural Research ServiceTifton, GA, USA
- International Crops Research Institute for the Semi-Arid TropicsHyderabad, India
- Department of Plant Pathology, University of GeorgiaTifton, GA, USA
| | - Hui Wang
- Crop Protection and Management Research Unit, United States Department of Agriculture, Agricultural Research ServiceTifton, GA, USA
- Department of Plant Pathology, University of GeorgiaTifton, GA, USA
| | - Pawan Khera
- Crop Protection and Management Research Unit, United States Department of Agriculture, Agricultural Research ServiceTifton, GA, USA
- International Crops Research Institute for the Semi-Arid TropicsHyderabad, India
- Department of Plant Pathology, University of GeorgiaTifton, GA, USA
| | | | - Sandip M. Kale
- International Crops Research Institute for the Semi-Arid TropicsHyderabad, India
| | | | - C. Corley Holbrook
- Crop Genetics and Breeding Research Unit, United States Department of Agriculture, Agricultural Research ServiceTifton, GA, USA
| | - Xingjun Wang
- Biotechnology Research Center, Shandong Academy of Agricultural SciencesJinan, China
| | - Rajeev K. Varshney
- International Crops Research Institute for the Semi-Arid TropicsHyderabad, India
| | - Baozhu Guo
- Crop Protection and Management Research Unit, United States Department of Agriculture, Agricultural Research ServiceTifton, GA, USA
- Department of Plant Pathology, University of GeorgiaTifton, GA, USA
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Carolina EDRESS, Vinicius SGDS, Ana DSDF, Aleksandro FDS, Rosemberg DVB, Maria DCCPDL, Juscelia DSF. Prospecting of efficient rhizobia for peanut inoculation in a Planosol under different vegetation covers. ACTA ACUST UNITED AC 2017. [DOI: 10.5897/ajmr2016.8355] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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46
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Chen Y, Ren X, Zheng Y, Zhou X, Huang L, Yan L, Jiao Y, Chen W, Huang S, Wan L, Lei Y, Liao B, Huai D, Wei W, Jiang H. Genetic mapping of yield traits using RIL population derived from Fuchuan Dahuasheng and ICG6375 of peanut ( Arachis hypogaea L.). MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2017; 37:17. [PMID: 28216998 PMCID: PMC5285419 DOI: 10.1007/s11032-016-0587-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Accepted: 11/01/2016] [Indexed: 05/04/2023]
Abstract
The genetic architecture determinants of yield traits in peanut (Arachis hypogaea L.) are poorly understood. In the present study, an effort was made to map quantitative trait loci (QTLs) for yield traits using recombinant inbred lines (RIL). A genetic linkage map was constructed containing 609 loci, covering a total of 1557.48 cM with an average distance of 2.56 cM between adjacent markers. The present map exhibited good collinearity with the physical map of diploid species of Arachis. Ninety-two repeatable QTLs were identified for 11 traits including height of main stem, total branching number, and nine pod- and seed-related traits. Of the 92 QTLs, 15 QTLs were expressed across three environments and 65 QTLs were newly identified. Twelve QTLs for the height of main stem and the pod- and seed-related traits explaining more than 10 % of phenotypic variation showed a great potential for marker-assisted selection in improving these traits. The trait-by-trait meta-analysis revealed 33 consensus QTLs. The consensus QTLs and other QTLs were further integrated into 29 pleiotropic unique QTLs with the confidence interval of 1.86 cM on average. The significant co-localization of QTLs was consistent with the significant phenotypic correlations among these traits. The complexity of the genetic architecture of yield traits was demonstrated. The present QTLs for pod- and seed-related traits could be the most fundamental genetic factors contributing to the yield traits in peanut. The results provide a good foundation for fine mapping, cloning and designing molecular breeding of favorable genes in peanut.
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Affiliation(s)
- Yuning Chen
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Xiaoping Ren
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Yanli Zheng
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Xiaojing Zhou
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Li Huang
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Liying Yan
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Yongqing Jiao
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Weigang Chen
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Shunmou Huang
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Liyun Wan
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Yong Lei
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Boshou Liao
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Dongxin Huai
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Wenhui Wei
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
| | - Huifang Jiang
- Oil Crop Research Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agricultural, Wuhan, 430062 People’s Republic of China
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Development and deployment of a high-density linkage map identified quantitative trait loci for plant height in peanut (Arachis hypogaea L.). Sci Rep 2016; 6:39478. [PMID: 27995991 PMCID: PMC5171768 DOI: 10.1038/srep39478] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Accepted: 11/23/2016] [Indexed: 11/10/2022] Open
Abstract
Plant height is one of the most important architecture traits in crop plants. In peanut, the genetic basis of plant height remains ambiguous. In this context, we genotyped a recombinant inbred line (RIL) population with 140 individuals developed from a cross between two peanut varieties varying in plant height, Zhonghua 10 and ICG 12625. Genotyping data was generated for 1,175 SSR and 42 transposon polymorphic markers and a high-density genetic linkage map was constructed with 1,219 mapped loci covering total map length of 2,038.75 cM i.e., accounted for nearly 80% of the peanut genome. Quantitative trait locus (QTL) analysis using genotyping and phenotyping data for three environments identified 8 negative-effect QTLs and 10 positive-effect QTLs for plant height. Among these QTLs, 8 QTLs had a large contribution to plant height that explained ≥10% phenotypic variation. Two major-effect consensus QTLs namely cqPHA4a and cqPHA4b were identified with stable performance across three environments. Further, the allelic recombination of detected QTLs proved the existence of the phenomenon of transgressive segregation for plant height in the RIL population. Therefore, this study not only successfully reported a high-density genetic linkage map of peanut and identified genomic region controlling plant height but also opens opportunities for further gene discovery and molecular breeding for plant height in peanut.
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Zhou X, Xia Y, Liao J, Liu K, Li Q, Dong Y, Ren X, Chen Y, Huang L, Liao B, Lei Y, Yan L, Jiang H. Quantitative Trait Locus Analysis of Late Leaf Spot Resistance and Plant-Type-Related Traits in Cultivated Peanut (Arachis hypogaea L.) under Multi-Environments. PLoS One 2016; 11:e0166873. [PMID: 27870916 PMCID: PMC5117734 DOI: 10.1371/journal.pone.0166873] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Accepted: 11/04/2016] [Indexed: 11/18/2022] Open
Abstract
Late leaf spot (LLS) is one of the most serious foliar diseases affecting peanut worldwide leading to huge yield loss. To understand the genetic basis of LLS and assist breeding in the future, we conducted quantitative trait locus (QTL) analysis for LLS and three plant-type-related traits including height of main stem (HMS), length of the longest branch (LLB) and total number of branches (TNB). Significant negative correlations were observed between LLS and the plant-type-related traits in multi-environments of a RIL population from the cross Zhonghua 5 and ICGV 86699. A total of 20 QTLs were identified for LLS, of which two QTLs were identified in multi-environments and six QTLs with phenotypic variation explained (PVE) more than 10%. Ten, seven, fifteen QTLs were identified for HMS, LLB and TNB, respectively. Of these, one, one, two consensus QTLs and three, two, three major QTLs were detected for HMS, LLB and TNB, respectively. Of all 52 unconditional QTLs for LLS and plant-type-related traits, 10 QTLs were clustered in five genetic regions, of which three clusters including five robust major QTLs overlapped between LLS and one of the plant-type-related traits, providing evidence that the correlation could be genetically constrained. On the other hand, conditional mapping revealed different numbers and different extent of additive effects of QTLs for LLS conditioned on three plant-type-related traits (HMS, LLB and TNB), which improved our understanding of interrelationship between LLS and plant-type-related traits at the QTL level. Furthermore, two QTLs, qLLSB6-7 and qLLSB1 for LLS resistance, were identified residing in two clusters of NB-LRR—encoding genes. This study not only provided new favorable QTLs for fine-mapping, but also suggested that the relationship between LLS and plant-type-related traits of HMS, LLB and TNB should be considered while breeding for improved LLS resistance in peanut.
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Affiliation(s)
- 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, Wuhan, Hubei, China
| | - Youlin Xia
- Nanchong Academy of Agricultural Sciences, Nanchong, Sichuan, China
| | - Junhua Liao
- Nanchong Academy of Agricultural Sciences, Nanchong, Sichuan, China
| | - Kede Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Qiang Li
- Department of Plant Science, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Yang Dong
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei, 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, Wuhan, Hubei, 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, Wuhan, Hubei, 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, Wuhan, Hubei, 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, Wuhan, Hubei, China
| | - 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, Wuhan, Hubei, China
| | - Liying Yan
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei, 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, Wuhan, Hubei, China
- * E-mail:
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Tseng YC, Tillman BL, Peng Z, Wang J. Identification of major QTLs underlying tomato spotted wilt virus resistance in peanut cultivar Florida-EP(TM) '113'. BMC Genet 2016; 17:128. [PMID: 27600750 PMCID: PMC5012072 DOI: 10.1186/s12863-016-0435-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Accepted: 08/25/2016] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Spotted wilt caused by tomato spotted wilt virus (TSWV) is one of the major peanut (Arachis hypogaea L.) diseases in the southeastern United States. Occurrence, severity, and symptoms of spotted wilt disease are highly variable from season to season, making it difficult to efficiently evaluate breeding populations for resistance. Molecular markers linked to spotted wilt resistance could overcome this problem and allow selection of resistant lines regardless of environmental conditions. Florida-EP(TM) '113' is a spotted wilt resistant cultivar with a significantly lower infection frequency. However, the genetic basis is still unknown. The objective of this study is to map the major quantitative trait loci (QTLs) linked to spotted wilt resistance in Florida-EP(TM) '113'. RESULTS Among 2,431 SSR markers located across the whole peanut genome screened between the two parental lines, 329 were polymorphic. Those polymorphic markers were used to further genotype a representative set of individuals in a segregating population. Only polymorphic markers on chromosome A01 showed co-segregation between genotype and phenotype. Genotyping by sequencing (GBS) of the representative set of individuals in the segregating population also depicted a strong association between several SNPs on chromosome A01 and the trait, indicating a major QTL on chromosome A01. Therefore marker density was enriched on the A01 chromosome. A linkage map with 23 makers on chromosome A01 was constructed, showing collinearity with the physical map. Combined with phenotypic data, a major QTL flanked by marker AHGS4584 and GM672 was identified on chromosome A01, with up to 22.7 % PVE and 9.0 LOD value. CONCLUSION A major QTL controlling the spotted wilt resistance in Florida-EP(TM) '113' was identified. The resistance is most likely contributed by PI 576638, a hirsuta botanical-type line, introduced from Mexico with spotted wilt resistance. The flanking markers of this QTL can be used for further fine mapping and marker assisted selection in peanut breeding programs.
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Affiliation(s)
- Yu-Chien Tseng
- Agronomy Department, University of Florida, 2033 Mowry Road, Room 337 Cancer/Genetics Research Complex, Gainesville, FL 32610 USA
- North Florida Research and Education Center, University of Florida, Marianna, FL 32446 USA
| | - Barry L. Tillman
- Agronomy Department, University of Florida, 2033 Mowry Road, Room 337 Cancer/Genetics Research Complex, Gainesville, FL 32610 USA
- North Florida Research and Education Center, University of Florida, Marianna, FL 32446 USA
| | - Ze Peng
- Agronomy Department, University of Florida, 2033 Mowry Road, Room 337 Cancer/Genetics Research Complex, Gainesville, FL 32610 USA
| | - Jianping Wang
- Agronomy Department, University of Florida, 2033 Mowry Road, Room 337 Cancer/Genetics Research Complex, Gainesville, FL 32610 USA
- Genetics Institute, Plant Molecular and Cellular Biology Program, University of Florida, Gainesville, FL 32610 USA
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50
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Khera P, Pandey MK, Wang H, Feng S, Qiao L, Culbreath AK, Kale S, Wang J, Holbrook CC, Zhuang W, Varshney RK, Guo B. Mapping Quantitative Trait Loci of Resistance to Tomato Spotted Wilt Virus and Leaf Spots in a Recombinant Inbred Line Population of Peanut (Arachis hypogaea L.) from SunOleic 97R and NC94022. PLoS One 2016; 11:e0158452. [PMID: 27427980 PMCID: PMC4948827 DOI: 10.1371/journal.pone.0158452] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 06/16/2016] [Indexed: 11/21/2022] Open
Abstract
Peanut is vulnerable to a range of diseases, such as Tomato spotted wilt virus (TSWV) and leaf spots which will cause significant yield loss. The most sustainable, economical and eco-friendly solution for managing peanut diseases is development of improved cultivars with high level of resistance. We developed a recombinant inbred line population from the cross between SunOleic 97R and NC94022, named as the S-population. An improved genetic linkage map was developed for the S-population with 248 marker loci and a marker density of 5.7 cM/loci. This genetic map was also compared with the physical map of diploid progenitors of tetraploid peanut, resulting in an overall co-linearity of about 60% with the average co-linearity of 68% for the A sub-genome and 47% for the B sub-genome. The analysis using the improved genetic map and multi-season (2010-2013) phenotypic data resulted in the identification of 48 quantitative trait loci (QTLs) with phenotypic variance explained (PVE) from 3.88 to 29.14%. Of the 48 QTLs, six QTLs were identified for resistance to TSWV, 22 QTLs for early leaf spot (ELS) and 20 QTLs for late leaf spot (LLS), which included four, six, and six major QTLs (PVE larger than 10%) for each disease, respectively. A total of six major genomic regions (MGR) were found to have QTLs controlling more than one disease resistance. The identified QTLs and resistance gene-rich MGRs will facilitate further discovery of resistance genes and development of molecular markers for these important diseases.
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Affiliation(s)
- Pawan Khera
- USDA-ARS, Crop Protection and Management Research Unit, Tifton, United States of America
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- The University of Georgia, Department of Plant Pathology, Tifton, United States of America
| | - Manish K. Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Hui Wang
- USDA-ARS, Crop Protection and Management Research Unit, Tifton, United States of America
- The University of Georgia, Department of Plant Pathology, Tifton, United States of America
- Fujian Agricultural and Forestry University, College of Plant Protection, Fuzhou, China
| | - Suping Feng
- College of Tropical Biology and Agronomy, Hainan Tropical Marine University, Sanya, China
| | - Lixian Qiao
- College of Life Science, Qingdao Agricultural University, Qingdao, Shandong, China
| | - Albert K. Culbreath
- The University of Georgia, Department of Plant Pathology, Tifton, United States of America
| | - Sandip Kale
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Jianping Wang
- The University of Florida, Department of Agronomy, Gainesville, United States of America
| | - C. Corley Holbrook
- USDA-ARS, Crop Genetics and Breeding Research Unit, Tifton, United States of America
| | - Weijian Zhuang
- Fujian Agricultural and Forestry University, College of Plant Protection, Fuzhou, China
| | - Rajeev K. Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Baozhu Guo
- USDA-ARS, Crop Protection and Management Research Unit, Tifton, United States of America
- The University of Georgia, Department of Plant Pathology, Tifton, United States of America
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