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Bhad PG, Mondal S, Badigannavar AM. Molecular tagging of seed size using MITE markers in an induced large seed mutant with higher cotyledon cell size in groundnut. 3 Biotech 2024; 14:56. [PMID: 38298555 PMCID: PMC10825088 DOI: 10.1007/s13205-023-03909-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/28/2023] [Indexed: 02/02/2024] Open
Abstract
A large seed mutant, TG 89 having a 76.7% increment in hundred kernel weight in comparison to its parent TG 26, was isolated from an electron beam-induced mutagenized population. Studies based on environmental scanning electron microscopy of both parent and mutant revealed that the mutant seed cotyledon had significantly bigger cell size than parent. A mapping population with 122 F2 plants derived from the mutant and a distant normal seed genotype (ICGV 15007) was utilized to map the QTL associated with higher HKW. Bulk segregant analysis revealed putative association of three markers with this mutant large seed trait. Further, genotyping of F2 individuals with polymorphic markers detected 14 linkage groups with a map distance of 1053 cM. QTL analysis revealed a significant additive major QTL for the mutant large seed trait on linkage group A05 explaining 12.7% phenotypic variation for the seed size. This QTL was located between flanking markers AhTE333 and AhTE810 having a map interval of 4.7 cM which corresponds to 90.65 to 107.24 Mbp in A05 chromosome, respectively. Within this genomic fragment, an ortholog of the BIG SEEDS 1 gene was found at 102,476,137 bp. Real-time PCR revealed down-regulation of this BIG SEEDS 1 gene in the mutant indicating a loss of function mutation giving rise to a large seed phenotype. This QTL was validated in 11 advanced breeding lines having large seed size from this mutant but with varied genetic backgrounds. This validation showcased a highly promising selection accuracy of 90.9% for the marker-assisted selection. Supplementary Information The online version contains supplementary material available at 10.1007/s13205-023-03909-0.
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Affiliation(s)
- Poonam Gajanan Bhad
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, 400085 India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400094 India
| | - 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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Mei H, Cui C, Liu Y, Du Z, Wu K, Jiang X, Zheng Y, Zhang H. QTL analysis of traits related to seed size and shape in sesame (Sesamum indicum L.). PLoS One 2023; 18:e0293155. [PMID: 37917626 PMCID: PMC10621824 DOI: 10.1371/journal.pone.0293155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 10/06/2023] [Indexed: 11/04/2023] Open
Abstract
Seed size and shape are important traits that determine seed yield in sesame. Understanding the genetic basis of seed size and shape is essential for improving the yield of sesame. In this study, F2 and BC1 populations were developed by crossing the Yuzhi 4 and Bengal small-seed (BS) lines for detecting the quantitative trait loci (QTLs) of traits related to seed size and shape. A total of 52 QTLs, including 13 in F2 and 39 in BC1 populations, for seed length (SL), seed width (SW), and length to width ratio (L/W) were identified, explaining phenotypic variations from 3.68 to 21.64%. Of these QTLs, nine stable major QTLs were identified in the two populations. Notably, three major QTLs qSL-LG3-2, qSW-LG3-2, and qSW-LG3-F2 that accounted for 4.94-16.34% of the phenotypic variations were co-localized in a 2.08 Mb interval on chromosome 1 (chr1) with 279 candidate genes. Three stable major QTLs qSL-LG6-2, qLW-LG6, and qLW-LG6-F2 that explained 8.14-33.74% of the phenotypic variations were co-localized in a 3.27 Mb region on chr9 with 398 candidate genes. In addition, the stable major QTL qSL-LG5 was co-localized with minor QTLs qLW-LG5-3 and qSW-LG5 to a 1.82 Mb region on chr3 with 195 candidate genes. Gene annotation, orthologous gene analysis, and sequence analysis indicated that three genes are likely involved in sesame seed development. These results obtained herein provide valuable in-formation for functional gene cloning and improving the seed yield of sesame.
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Affiliation(s)
- Hongxian Mei
- The Shennong Laboratory, Zhengzhou, Henan, China
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Chengqi Cui
- The Shennong Laboratory, Zhengzhou, Henan, China
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Yanyang Liu
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Zhenwei Du
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Ke Wu
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Xiaolin Jiang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Yongzhan Zheng
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Haiyang Zhang
- The Shennong Laboratory, Zhengzhou, Henan, China
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
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Zhao K, Wang L, Qiu D, Cao Z, Wang K, Li Z, Wang X, Wang J, Ma Q, Cao D, Qi Y, Zhao K, Gong F, Li Z, Ren R, Ma X, Zhang X, Yu F, Yin D. PSW1, an LRR receptor kinase, regulates pod size in peanut. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:2113-2124. [PMID: 37431286 PMCID: PMC10502750 DOI: 10.1111/pbi.14117] [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: 02/07/2023] [Revised: 05/30/2023] [Accepted: 06/15/2023] [Indexed: 07/12/2023]
Abstract
Pod size is a key agronomic trait that greatly determines peanut yield, the regulatory genes and molecular mechanisms that controlling peanut pod size are still unclear. Here, we used quantitative trait locus analysis to identify a peanut pod size regulator, POD SIZE/WEIGHT1 (PSW1), and characterized the associated gene and protein. PSW1 encoded leucine-rich repeat receptor-like kinase (LRR-RLK) and positively regulated pod stemness. Mechanistically, this allele harbouring a 12-bp insertion in the promoter and a point mutation in the coding region of PSW1 causing a serine-to-isoleucine (S618I) substitution substantially increased mRNA abundance and the binding affinity of PSW1 for BRASSINOSTEROID INSENSITIVE1-ASSOCIATED RECEPTOR KINASE 1 (BAK1). Notably, PSW1HapII (super-large pod allele of PSW1) expression led to up-regulation of a positive regulator of pod stemness PLETHORA 1 (PLT1), thereby resulting in larger pod size. Moreover, overexpression of PSW1HapII increased seed/fruit size in multiple plant species. Our work thus discovers a conserved function of PSW1 that controls pod size and provides a valuable genetic resource for breeding high-yield crops.
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Affiliation(s)
- Kunkun Zhao
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Long Wang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, Hunan Key Laboratory of Plant Functional Genomics and Developmental RegulationHunan UniversityChangshaChina
| | - Ding Qiu
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Zenghui Cao
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Kuopeng Wang
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Zhan Li
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Xiaoxuan Wang
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Jinzhi Wang
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Qian Ma
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Di Cao
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Yinyao Qi
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, Hunan Key Laboratory of Plant Functional Genomics and Developmental RegulationHunan UniversityChangshaChina
| | - Kai Zhao
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Fangping Gong
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Zhongfeng Li
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Rui Ren
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Xingli Ma
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Xingguo Zhang
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Feng Yu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, Hunan Key Laboratory of Plant Functional Genomics and Developmental RegulationHunan UniversityChangshaChina
| | - Dongmei Yin
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
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Fang Y, Liu H, Qin L, Qi F, Sun Z, Wu J, Dong W, Huang B, Zhang X. Identification of QTL for kernel weight and size and analysis of the pentatricopeptide repeat (PPR) gene family in cultivated peanut (Arachis hypogaea L.). BMC Genomics 2023; 24:495. [PMID: 37641021 PMCID: PMC10463326 DOI: 10.1186/s12864-023-09568-y] [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: 06/08/2023] [Accepted: 08/09/2023] [Indexed: 08/31/2023] Open
Abstract
Peanut (Arachis hypogaea L.) is an important oilseed crop worldwide. Improving its yield is crucial for sustainable peanut production to meet increasing food and industrial requirements. Deciphering the genetic control underlying peanut kernel weight and size, which are essential components of peanut yield, would facilitate high-yield breeding. A high-density single nucleotide polymorphism (SNP)-based linkage map was constructed using a recombinant inbred lines (RIL) population derived from a cross between the variety Yuanza9102 and a germplasm accession wt09-0023. Kernel weight and size quantitative trait loci (QTLs) were co-localized to a 0.16 Mb interval on Arahy07 using inclusive composite interval mapping (ICIM). Analysis of SNP, and Insertion or Deletion (INDEL) markers in the QTL interval revealed a gene encoding a pentatricopeptide repeat (PPR) superfamily protein as a candidate closely linked with kernel weight and size in cultivated peanut. Examination of the PPR gene family indicated a high degree of collinearity of PPR genes between A. hypogaea and its diploid progenitors, Arachis duranensis and Arachis ipaensis. The candidate PPR gene, Arahy.JX1V6X, displayed a constitutive expression pattern in developing seeds. These findings lay a foundation for further fine mapping of QTLs related to kernel weight and size, as well as validation of candidate genes in cultivated peanut.
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Affiliation(s)
- Yuanjin Fang
- College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, China
- Henan Academy of Agricultural Sciences/Henan Institute of Crop Molecular Breeding/Shennong Laboratory/Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture and Rural Affairs/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Hua Liu
- Henan Academy of Agricultural Sciences/Henan Institute of Crop Molecular Breeding/Shennong Laboratory/Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture and Rural Affairs/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Li Qin
- Henan Academy of Agricultural Sciences/Henan Institute of Crop Molecular Breeding/Shennong Laboratory/Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture and Rural Affairs/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Feiyan Qi
- Henan Academy of Agricultural Sciences/Henan Institute of Crop Molecular Breeding/Shennong Laboratory/Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture and Rural Affairs/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Ziqi Sun
- Henan Academy of Agricultural Sciences/Henan Institute of Crop Molecular Breeding/Shennong Laboratory/Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture and Rural Affairs/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Jihua Wu
- Shangqiu Academy of Agriculture and Forestry, Shangqiu, 476002, China
| | - Wenzhao Dong
- Henan Academy of Agricultural Sciences/Henan Institute of Crop Molecular Breeding/Shennong Laboratory/Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture and Rural Affairs/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Bingyan Huang
- Henan Academy of Agricultural Sciences/Henan Institute of Crop Molecular Breeding/Shennong Laboratory/Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture and Rural Affairs/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China.
| | - Xinyou Zhang
- College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, China.
- Henan Academy of Agricultural Sciences/Henan Institute of Crop Molecular Breeding/Shennong Laboratory/Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture and Rural Affairs/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China.
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Kassie FC, Nguepjop JR, Ngalle HB, Assaha DVM, Gessese MK, Abtew WG, Tossim HA, Sambou A, Seye M, Rami JF, Fonceka D, Bell JM. An Overview of Mapping Quantitative Trait Loci in Peanut ( Arachis hypogaea L.). Genes (Basel) 2023; 14:1176. [PMID: 37372356 DOI: 10.3390/genes14061176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/24/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
Quantitative Trait Loci (QTL) mapping has been thoroughly used in peanut genetics and breeding in spite of the narrow genetic diversity and the segmental tetraploid nature of the cultivated species. QTL mapping is helpful for identifying the genomic regions that contribute to traits, for estimating the extent of variation and the genetic action (i.e., additive, dominant, or epistatic) underlying this variation, and for pinpointing genetic correlations between traits. The aim of this paper is to review the recently published studies on QTL mapping with a particular emphasis on mapping populations used as well as traits related to kernel quality. We found that several populations have been used for QTL mapping including interspecific populations developed from crosses between synthetic tetraploids and elite varieties. Those populations allowed the broadening of the genetic base of cultivated peanut and helped with the mapping of QTL and identifying beneficial wild alleles for economically important traits. Furthermore, only a few studies reported QTL related to kernel quality. The main quality traits for which QTL have been mapped include oil and protein content as well as fatty acid compositions. QTL for other agronomic traits have also been reported. Among the 1261 QTL reported in this review, and extracted from the most relevant studies on QTL mapping in peanut, 413 (~33%) were related to kernel quality showing the importance of quality in peanut genetics and breeding. Exploiting the QTL information could accelerate breeding to develop highly nutritious superior cultivars in the face of climate change.
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Affiliation(s)
- Fentanesh C Kassie
- Department of Plant Biology and Physiology, Faculty of Sciences, University of Yaounde I, Yaounde P.O. Box 337, Cameroon
- Department of Plant Science, College of Agriculture, Wolaita Sodo University, Sodo P.O. Box 138, Ethiopia
| | - Joël R Nguepjop
- UMR AGAP, CIRAD, F-34398 Montpellier, France
- AGAP Institute, Institut Agro, CIRAD, INRAE, University of Montpellier, F-34060 Montpellier, France
- Centre d'Etudes Régional Pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS/ISRA), Route de Khombole, Thiès BP 3320, Senegal
- Dispositif de Recherche et de Formation en Partenariat, Innovation et Amélioration Variétale en Afrique de l'Ouest (IAVAO), CERAAS, Route de Khombole, Thiès BP 3320, Senegal
| | - Hermine B Ngalle
- Department of Plant Biology and Physiology, Faculty of Sciences, University of Yaounde I, Yaounde P.O. Box 337, Cameroon
| | - Dekoum V M Assaha
- Department of Agriculture, Higher Technical Teachers Training College, University of Buea, Kumba P.O. Box 249, Cameroon
| | - Mesfin K Gessese
- Department of Plant Science, College of Agriculture, Wolaita Sodo University, Sodo P.O. Box 138, Ethiopia
| | - Wosene G Abtew
- Department of Horticulture and Plant Science, College of Agriculture and Veterinary Medicine, Jimma University, Jimma P.O. Box 378, Ethiopia
| | - Hodo-Abalo Tossim
- Centre d'Etudes Régional Pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS/ISRA), Route de Khombole, Thiès BP 3320, Senegal
- Dispositif de Recherche et de Formation en Partenariat, Innovation et Amélioration Variétale en Afrique de l'Ouest (IAVAO), CERAAS, Route de Khombole, Thiès BP 3320, Senegal
| | - Aissatou Sambou
- Centre d'Etudes Régional Pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS/ISRA), Route de Khombole, Thiès BP 3320, Senegal
- Dispositif de Recherche et de Formation en Partenariat, Innovation et Amélioration Variétale en Afrique de l'Ouest (IAVAO), CERAAS, Route de Khombole, Thiès BP 3320, Senegal
| | - Maguette Seye
- Centre d'Etudes Régional Pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS/ISRA), Route de Khombole, Thiès BP 3320, Senegal
- Dispositif de Recherche et de Formation en Partenariat, Innovation et Amélioration Variétale en Afrique de l'Ouest (IAVAO), CERAAS, Route de Khombole, Thiès BP 3320, Senegal
| | - Jean-François Rami
- UMR AGAP, CIRAD, F-34398 Montpellier, France
- AGAP Institute, Institut Agro, CIRAD, INRAE, University of Montpellier, F-34060 Montpellier, France
- Dispositif de Recherche et de Formation en Partenariat, Innovation et Amélioration Variétale en Afrique de l'Ouest (IAVAO), CERAAS, Route de Khombole, Thiès BP 3320, Senegal
| | - Daniel Fonceka
- UMR AGAP, CIRAD, F-34398 Montpellier, France
- AGAP Institute, Institut Agro, CIRAD, INRAE, University of Montpellier, F-34060 Montpellier, France
- Centre d'Etudes Régional Pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS/ISRA), Route de Khombole, Thiès BP 3320, Senegal
- Dispositif de Recherche et de Formation en Partenariat, Innovation et Amélioration Variétale en Afrique de l'Ouest (IAVAO), CERAAS, Route de Khombole, Thiès BP 3320, Senegal
| | - Joseph M Bell
- Department of Plant Biology and Physiology, Faculty of Sciences, University of Yaounde I, Yaounde P.O. Box 337, Cameroon
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Gangurde SS, Pasupuleti J, Parmar S, Variath MT, Bomireddy D, Manohar SS, Varshney RK, Singam P, Guo B, Pandey MK. Genetic mapping identifies genomic regions and candidate genes for seed weight and shelling percentage in groundnut. Front Genet 2023; 14:1128182. [PMID: 37007937 PMCID: PMC10061104 DOI: 10.3389/fgene.2023.1128182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 02/20/2023] [Indexed: 03/18/2023] Open
Abstract
Seed size is not only a yield-related trait but also an important measure to determine the commercial value of groundnut in the international market. For instance, small size is preferred in oil production, whereas large-sized seeds are preferred in confectioneries. In order to identify the genomic regions associated with 100-seed weight (HSW) and shelling percentage (SHP), the recombinant inbred line (RIL) population (Chico × ICGV 02251) of 352 individuals was phenotyped for three seasons and genotyped with an Axiom_Arachis array containing 58K SNPs. A genetic map with 4199 SNP loci was constructed, spanning a map distance of 2708.36 cM. QTL analysis identified six QTLs for SHP, with three consistent QTLs on chromosomes A05, A08, and B10. Similarly, for HSW, seven QTLs located on chromosomes A01, A02, A04, A10, B05, B06, and B09 were identified. BIG SEED locus and spermidine synthase candidate genes associated with seed weight were identified in the QTL region on chromosome B09. Laccase, fibre protein, lipid transfer protein, senescence-associated protein, and disease-resistant NBS-LRR proteins were identified in the QTL regions associated with shelling percentage. The associated markers for major-effect QTLs for both traits successfully distinguished between the small- and large-seeded RILs. QTLs identified for HSW and SHP can be used for developing potential selectable markers to improve the cultivars with desired seed size and shelling percentage to meet the demands of confectionery industries.
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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, India
- Department of Genetics, Osmania University, Hyderabad, India
- USDA-ARS, Crops Genetics and Breeding Research Unit, Tifton, GA, United States
| | - Janila Pasupuleti
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Sejal Parmar
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Department of Genetics, Osmania University, Hyderabad, India
| | - Murali T. Variath
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Deekshitha Bomireddy
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Surendra S. Manohar
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rajeev K. Varshney
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- State Agricultural Biotechnology Centre, Centre for Crop & Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Prashant Singam
- Department of Genetics, Osmania University, Hyderabad, India
| | - Baozhu Guo
- USDA-ARS, Crops Genetics and Breeding Research Unit, Tifton, GA, United States
| | - Manish K. Pandey
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Department of Genetics, Osmania University, Hyderabad, India
- *Correspondence: Manish K. Pandey,
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A first insight into the genetics of maturity trait in Runner × Virginia types peanut background. Sci Rep 2022; 12:15267. [PMID: 36088406 PMCID: PMC9464196 DOI: 10.1038/s41598-022-19653-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 05/09/2022] [Indexed: 11/21/2022] Open
Abstract
'Runner' and 'Virginia', the two main market types of Arachis hypogaea subspecies hypogaea, differ in several agricultural and industrial characteristics. One such trait is time to maturation (TTM), contributing to the specific environmental adaptability of each subspecies. However, little is known regarding TTM's genetic and molecular control in peanut in general, and particularly in the Runner/Virginia background. Here, a recombinant inbred line population, originating from a cross between an early-maturing Virginia and a late-maturing Runner type, was used to detect quantitative trait loci (QTL) for maturity. An Arachis SNP-array was used for genotyping, and a genetic map with 1425 SNP loci spanning 24 linkage groups was constructed. Six significant QTLs were identified for the maturity index (MI) trait on chromosomes A04, A08, B02 and B04. Two sets of stable QTLs in the same loci were identified, namely qMIA04a,b and qMIA08_2a,b with 11.5%, 8.1% and 7.3%, 8.2% of phenotypic variation explained respectively in two environments. Interestingly, one consistent QTL, qMIA04a,b, overlapped with the previously reported QTL in a Virginia × Virginia population having the same early-maturing parent ('Harari') in common. The information and materials generated here can promote informed targeting of peanut idiotypes by indirect marker-assisted selection.
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Wang Z, Yan L, Chen Y, Wang X, Huai D, Kang Y, Jiang H, Liu K, Lei Y, Liao B. Detection of a major QTL and development of KASP markers for seed weight by combining QTL-seq, QTL-mapping and RNA-seq in peanut. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:1779-1795. [PMID: 35262768 DOI: 10.1007/s00122-022-04069-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 02/22/2022] [Indexed: 05/26/2023]
Abstract
Combining QTL-seq, QTL-mapping and RNA-seq identified a major QTL and candidate genes, which contributed to the development of KASP markers and understanding of molecular mechanisms associated with seed weight in peanut. Seed weight, as an important component of seed yield, is a significant target of peanut breeding. However, relatively little is known about the quantitative trait loci (QTLs) and candidate genes associated with seed weight in peanut. In this study, three major QTLs on chromosomes A05, B02, and B06 were determined by applying the QTL-seq approach in a recombinant inbred line (RIL) population. Based on conventional QTL-mapping, these three QTL regions were successfully narrowed down through newly developed single nucleotide polymorphism (SNP) and simple sequence repeat markers. Among these three QTL regions, qSWB06.3 exhibited stable expression, contributing mainly to phenotypic variance across environments. Furthermore, differentially expressed genes (DEGs) were identified at the three seed developmental stages between the two parents of the RIL population. It was found that the DEGs were widely distributed in the ubiquitin-proteasome pathway, the serine/threonine-protein pathway, signal transduction of hormones and transcription factors. Notably, DEGs at the early stage were mostly involved in regulating cell division, whereas DEGs at the middle and late stages were primarily involved in cell expansion during seed development. The expression patterns of candidate genes related to seed weight in qSWB06.3 were investigated using quantitative real-time PCR. In addition, the allelic diversity of qSWB06.3 was investigated in peanut germplasm accessions. The marker Ah011475 has higher efficiency for discriminating accessions with different seed weights, and it would be useful as a diagnostic marker in marker-assisted breeding. This study provided insights into the genetic and molecular mechanisms of seed weight in peanut.
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Affiliation(s)
- Zhihui Wang
- The Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
- National Key Laboratory of Crop Genetic Improvement, National Center of Crop Molecular Breeding Technology, National Center of Oil Crop Improvement (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Liying Yan
- The Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Yuning Chen
- The Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Xin Wang
- The Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Dongxin Huai
- The Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Yanping Kang
- The Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Huifang Jiang
- The Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Kede Liu
- National Key Laboratory of Crop Genetic Improvement, National Center of Crop Molecular Breeding Technology, National Center of Oil Crop Improvement (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Yong Lei
- The Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
| | - Boshou Liao
- The Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
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Kunta S, Chu Y, Levy Y, Harel A, Abbo S, Ozias-Akins P, Hovav R. Identification of a major locus for flowering pattern sheds light on plant architecture diversification in cultivated peanut. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:1767-1777. [PMID: 35260930 DOI: 10.1007/s00122-022-04068-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/22/2022] [Indexed: 06/14/2023]
Abstract
A major gene controls flowering pattern in peanut, possibly encoding a TFL1-like. It was subjected to gain/loss events of a deletion and changes in mRNA expression levels, partly explaining the evolution of flowering pattern in Arachis. Flowering pattern (FP) is a major characteristic differentiating the two subspecies of cultivated peanut (Arachis hypogaea L.). Subsp. fastigiata possessing flowers on the mainstem (MSF) and a sequential FP, whereas subsp. hypogaea lacks MSF and exhibits an alternate FP. FP is considered the main contributor to plant adaptability, and evidence indicates that its diversification occurred during the several thousand years of domestication. However, the genetic mechanism that controls FP in peanut is unknown. We investigated the genetics of FP in a recombinant inbred population, derivatives of an A. hypogaea by A. fastigiata cross. Lines segregated 1:1 for FP, indicating a single gene effect. Using Axiom_Arachis2 SNP-array, FP was mapped to a small segment in chromosome B02, wherein a Terminal Flowering 1-like (AhTFL1) gene with a 1492 bp deletion was found in the fastigiata line, leading to a truncated protein. Remapping FP in the RIL population with the AhTFL1 indel as a marker increased the LOD score from 53.3 to 158.8 with no recombination in the RIL population. The same indel was found co-segregating with the phenotype in two independent EMS-mutagenized M2 families, suggesting a hotspot for gene conversion. Also, AhTFL1 was significantly less expressed in the fastigiata line compared to hypogaea and in flowering than non-flowering branches. Sequence analysis of the AhTFL1 in peanut world collections indicated significant conservation, supporting the putative role of AhTFL1 in peanut speciation during domestication and modern cultivation.
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Affiliation(s)
- Srinivas Kunta
- Department of Field Crops, Institute of Plant Sciences, Agriculture Research Organization-The Volcani Institute, HaMakkabbim Road, POB 15159, 7505101, Rishon LeZion, Israel
- Faculty of Agricultural, Food and the Environmental Quality Sciences, The Hebrew University of Jerusalem, POB 12, 7610001, Rehovot, Israel
| | - Ye Chu
- Department of Horticulture and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Tifton, GA, 31793, USA
| | - Yael Levy
- Department of Field Crops, Institute of Plant Sciences, Agriculture Research Organization-The Volcani Institute, HaMakkabbim Road, POB 15159, 7505101, Rishon LeZion, Israel
| | - Arye Harel
- Department of Field Crops, Institute of Plant Sciences, Agriculture Research Organization-The Volcani Institute, HaMakkabbim Road, POB 15159, 7505101, Rishon LeZion, Israel
| | - Shahal Abbo
- Faculty of Agricultural, Food and the Environmental Quality Sciences, The Hebrew University of Jerusalem, POB 12, 7610001, Rehovot, Israel
| | - Peggy Ozias-Akins
- Department of Horticulture and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Tifton, GA, 31793, USA
| | - Ran Hovav
- Department of Field Crops, Institute of Plant Sciences, Agriculture Research Organization-The Volcani Institute, HaMakkabbim Road, POB 15159, 7505101, Rishon LeZion, Israel.
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10
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Jadhav MP, Gangurde SS, Hake AA, Yadawad A, Mahadevaiah SS, Pattanashetti SK, Gowda MVC, Shirasawa K, Varshney RK, Pandey MK, Bhat RS. Genotyping-by-Sequencing Based Genetic Mapping Identified Major and Consistent Genomic Regions for Productivity and Quality Traits in Peanut. FRONTIERS IN PLANT SCIENCE 2021; 12:668020. [PMID: 34630444 PMCID: PMC8495222 DOI: 10.3389/fpls.2021.668020] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 08/25/2021] [Indexed: 06/13/2023]
Abstract
With an objective of identifying the genomic regions for productivity and quality traits in peanut, a recombinant inbred line (RIL) population developed from an elite variety, TMV 2 and its ethyl methane sulfonate (EMS)-derived mutant was phenotyped over six seasons and genotyped with genotyping-by-sequencing (GBS), Arachis hypogaea transposable element (AhTE) and simple sequence repeats (SSR) markers. The genetic map with 700 markers spanning 2,438.1 cM was employed for quantitative trait loci (QTL) analysis which identified a total of 47 main-effect QTLs for the productivity and oil quality traits with the phenotypic variance explained (PVE) of 10-52% over the seasons. A common QTL region (46.7-50.1 cM) on Ah02 was identified for the multiple traits, such as a number of pods per plant (NPPP), pod weight per plant (PWPP), shelling percentage (SP), and test weight (TW). Similarly, a QTL (7.1-18.0 cM) on Ah16 was identified for both SP and protein content (PC). Epistatic QTL (epiQTL) analysis revealed intra- and inter-chromosomal interactions for the main-effect QTLs and other genomic regions governing these productivity traits. The markers identified by a single marker analysis (SMA) mapped to the QTL regions for most of the traits. Among the five potential candidate genes identified for PC, SP and oil quality, two genes (Arahy.7A57YA and Arahy.CH9B83) were affected by AhMITE1 transposition, and three genes (Arahy.J5SZ1I, Arahy.MZJT69, and Arahy.X7PJ8H) involved functional single nucleotide polymorphisms (SNPs). With major and consistent effects, the genomic regions, candidate genes, and the associated markers identified in this study would provide an opportunity for gene cloning and genomics-assisted breeding for increasing the productivity and enhancing the quality of peanut.
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Affiliation(s)
- Mangesh P. Jadhav
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Sunil S. Gangurde
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Anil A. Hake
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - Arati Yadawad
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | | | | | - M. V. Channabyre Gowda
- Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, India
| | - Kenta Shirasawa
- Department of Frontier Research and Development, Kazusa DNA Research Institute, Chiba, Japan
| | - Rajeev K. Varshney
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Manish K. Pandey
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Ramesh S. Bhat
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
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11
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de Blas FJ, Bruno CI, Arias RS, Ballén-Taborda C, Mamani E, Oddino C, Rosso M, Costero BP, Bressano M, Soave JH, Soave SJ, Buteler MI, Seijo JG, Massa AN. Genetic mapping and QTL analysis for peanut smut resistance. BMC PLANT BIOLOGY 2021; 21:312. [PMID: 34215182 PMCID: PMC8252251 DOI: 10.1186/s12870-021-03023-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 05/10/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Peanut smut is a disease caused by the fungus Thecaphora frezii Carranza & Lindquist to which most commercial cultivars in South America are highly susceptible. It is responsible for severely decreased yield and no effective chemical treatment is available to date. However, smut resistance has been identified in wild Arachis species and further transferred to peanut elite cultivars. To identify the genome regions conferring smut resistance within a tetraploid genetic background, this study evaluated a RIL population {susceptible Arachis hypogaea subsp. hypogaea (JS17304-7-B) × resistant synthetic amphidiploid (JS1806) [A. correntina (K 11905) × A. cardenasii (KSSc 36015)] × A. batizocoi (K 9484)4×} segregating for the trait. RESULTS A SNP based genetic map arranged into 21 linkage groups belonging to the 20 peanut chromosomes was constructed with 1819 markers, spanning a genetic distance of 2531.81 cM. Two consistent quantitative trait loci (QTLs) were identified qSmIA08 and qSmIA02/B02, located on chromosome A08 and A02/B02, respectively. The QTL qSmIA08 at 15.20 cM/5.03 Mbp explained 17.53% of the phenotypic variance, while qSmIA02/B02 at 4.0 cM/3.56 Mbp explained 9.06% of the phenotypic variance. The combined genotypic effects of both QTLs reduced smut incidence by 57% and were stable over the 3 years of evaluation. The genome regions containing the QTLs are rich in genes encoding proteins involved in plant defense, providing new insights into the genetic architecture of peanut smut resistance. CONCLUSIONS A major QTL and a minor QTL identified in this study provide new insights into the genetic architecture of peanut smut resistance that may aid in breeding new varieties resistant to peanut smut.
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Affiliation(s)
- Francisco J de Blas
- Instituto Multidisciplinario de Biología Vegetal Consejo Nacional de Investigaciones en Ciencia y Tecnología (CONICET) y Universidad Nacional de Córdoba (UNC), Av. Vélez Sarsfield 1666, X5016GCN, Córdoba, Argentina
- Genética, Facultad de Ciencias Agropecuarias - UNC, Av. Ing. Agr. Félix A. Marrone 735, CP5001, Córdoba, Argentina
| | - Cecilia I Bruno
- Estadística y Biometría, FCA - UNC, Córdoba, Argentina
- CONICET, Av. Ing. Agr. Félix A. Marrone 735, CP5001, Córdoba, Argentina
| | - Renee S Arias
- USDA-ARS-National Peanut Research Laboratory (NPRL), Dawson, GA, 39842, USA
| | - Carolina Ballén-Taborda
- Center for Applied Genetic Technologies and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, USA
| | - Eva Mamani
- Instituto Nacional Tecnología Agropecuaria (INTA), Ruta Nac. nro. 9 km 636 Estación Experimental Agropecuaria Manfredi, EEA, X5988 Manfredi, Córdoba, Argentina
| | - Claudio Oddino
- Facultad de Agronomía y Veterinaria, Universidad Nacional de Río Cuarto (FAV-UNRC), Ruta Nacional 36, X5804BYA, Córdoba, Argentina
- Criadero El Carmen, Bv. Italia 835, CP5809, Gral. Cabrera, Córdoba, Argentina
| | - Melina Rosso
- Criadero El Carmen, Bv. Italia 835, CP5809, Gral. Cabrera, Córdoba, Argentina
| | - Beatriz P Costero
- Genética, Facultad de Ciencias Agropecuarias - UNC, Av. Ing. Agr. Félix A. Marrone 735, CP5001, Córdoba, Argentina
| | - Marina Bressano
- Biología Celular, FCA - UNC, Av. Ing. Agr. Félix A. Marrone 735, CP5001, Córdoba, Argentina
| | - Juan H Soave
- Criadero El Carmen, Bv. Italia 835, CP5809, Gral. Cabrera, Córdoba, Argentina
| | - Sara J Soave
- Criadero El Carmen, Bv. Italia 835, CP5809, Gral. Cabrera, Córdoba, Argentina
| | - Mario I Buteler
- Criadero El Carmen, Bv. Italia 835, CP5809, Gral. Cabrera, Córdoba, Argentina
| | - J Guillermo Seijo
- Instituto de Botánica del Nordeste (CONICET-UNNE) and Facultad de Ciencias Exactas y Naturales y Agrimensura, Universidad Nacional del Nordeste, Corrientes, Argentina.
| | - Alicia N Massa
- USDA-ARS-National Peanut Research Laboratory (NPRL), Dawson, GA, 39842, USA.
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12
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Kunta S, Agmon S, Chedvat I, Levy Y, Chu Y, Ozias-Akins P, Hovav R. Identification of consistent QTL for time to maturation in Virginia-type Peanut (Arachis hypogaea L.). BMC PLANT BIOLOGY 2021; 21:186. [PMID: 33874903 PMCID: PMC8054412 DOI: 10.1186/s12870-021-02951-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 03/29/2021] [Indexed: 05/10/2023]
Abstract
BACKGROUND Time-to-maturation (TTM) is an important trait contributing to adaptability, yield and quality in peanut (Arachis hypogaea L). Virginia market-type peanut belongs to the late-maturing A. hypogaea subspecies with considerable variation in TTM within this market type. Consequently, planting and harvesting schedule of peanut cultivars, including Virginia market-type, need to be optimized to maximize yield and grade. Little is known regarding the genetic control of TTM in peanut due to the challenge of phenotyping and limited DNA polymorphism. Here, we investigated the genetic control of TTM within the Virginia market-type peanut using a SNP-based high-density genetic map. A recombinant inbred line (RIL) population, derived from a cross between two Virginia-type cultivars 'Hanoch' and 'Harari' with contrasting TTM (12-15 days on multi-years observations), was phenotyped in the field for 2 years following a randomized complete block design. TTM was estimated by maturity index (MI). Other agronomic traits like harvest index (HI), branching habit (BH) and shelling percentage (SP) were recorded as well. RESULTS MI was highly segregated in the population, with 13.3-70.9% and 28.4-80.2% in years 2018 and 2019. The constructed genetic map included 1833 SNP markers distributed on 24 linkage groups, covering a total map distance of 1773.5 cM corresponding to 20 chromosomes on the tetraploid peanut genome with 1.6 cM mean distance between the adjacent markers. Thirty QTL were identified for all measured traits. Among the four QTL regions for MI, two consistent QTL regions (qMIA04a,b and qMIB03a,b) were identified on chromosomes A04 (118680323-125,599,371; 6.9Mbp) and B03 (2839591-4,674,238; 1.8Mbp), with LOD values of 5.33-6.45 and 5-5.35 which explained phenotypic variation of 9.9-11.9% and 9.3-9.9%, respectively. QTL for HI were found to share the same loci as MI on chromosomes B03, B05, and B06, demonstrating the possible pleiotropic effect of HI on TTM. Significant but smaller effects on MI were detected for BH, pod yield and SP. CONCLUSIONS This study identified consistent QTL regions conditioning TTM for Virginia market-type peanut. The information and materials generated here can be used to further develop molecular markers to select peanut idiotypes suitable for diverse growth environments.
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Affiliation(s)
- Srinivas Kunta
- Department of Field Crops, Agriculture Research Organization-The Volcani Center, Institute of Plant Sciences, HaMakkabbim Road, P. O. Box 15159, 7505101, Rishon LeZiyyon, Israel
- Faculty of Agricultural, Food and The Environmental Quality Sciences, The Hebrew University of Jerusalem, POB 12, 76100, Rehovot, Israel
| | - Sara Agmon
- Department of Field Crops, Agriculture Research Organization-The Volcani Center, Institute of Plant Sciences, HaMakkabbim Road, P. O. Box 15159, 7505101, Rishon LeZiyyon, Israel
| | - Ilan Chedvat
- Department of Field Crops, Agriculture Research Organization-The Volcani Center, Institute of Plant Sciences, HaMakkabbim Road, P. O. Box 15159, 7505101, Rishon LeZiyyon, Israel
| | - Yael Levy
- Department of Field Crops, Agriculture Research Organization-The Volcani Center, Institute of Plant Sciences, HaMakkabbim Road, P. O. Box 15159, 7505101, Rishon LeZiyyon, Israel
| | - Ye Chu
- Department of Horticulture and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Tifton, GA, 31793, USA
| | - Peggy Ozias-Akins
- Department of Horticulture and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Tifton, GA, 31793, USA
| | - Ran Hovav
- Department of Field Crops, Agriculture Research Organization-The Volcani Center, Institute of Plant Sciences, HaMakkabbim Road, P. O. Box 15159, 7505101, Rishon LeZiyyon, Israel.
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13
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Fine-Mapping of a Wild Genomic Region Involved in Pod and Seed Size Reduction on Chromosome A07 in Peanut ( Arachis hypogaea L.). Genes (Basel) 2020; 11:genes11121402. [PMID: 33255801 PMCID: PMC7761091 DOI: 10.3390/genes11121402] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 11/20/2020] [Accepted: 11/24/2020] [Indexed: 01/24/2023] Open
Abstract
Fruit and seed size are important yield component traits that have been selected during crop domestication. In previous studies, Advanced Backcross Quantitative Trait Loci (AB-QTL) and Chromosome Segment Substitution Line (CSSL) populations were developed in peanut by crossing the cultivated variety Fleur11 and a synthetic wild allotetraploid (Arachis ipaensis × Arachis duranensis)4x. In the AB-QTL population, a major QTL for pod and seed size was detected in a ~5 Mb interval in the proximal region of chromosome A07. In the CSSL population, the line 12CS_091, which carries the QTL region and that produces smaller pods and seeds than Fleur11, was identified. In this study, we used a two-step strategy to fine-map the seed size QTL region on chromosome A07. We developed new SSR and SNP markers, as well as near-isogenic lines (NILs) in the target QTL region. We first located the QTL in ~1 Mb region between two SSR markers, thanks to the genotyping of a large F2 population of 2172 individuals and a single marker analysis approach. We then used nine new SNP markers evenly distributed in the refined QTL region to genotype 490 F3 plants derived from 88 F2, and we selected 10 NILs. The phenotyping of the NILs and marker/trait association allowed us to narrowing down the QTL region to a 168.37 kb chromosome segment, between the SNPs Aradu_A07_1148327 and Aradu_A07_1316694. This region contains 22 predicted genes. Among these genes, Aradu.DN3DB and Aradu.RLZ61, which encode a transcriptional regulator STERILE APETALA-like (SAP) and an F-box SNEEZY (SNE), respectively, were of particular interest. The function of these genes in regulating the variation of fruit and seed size is discussed. This study will contribute to a better knowledge of genes that have been targeted during peanut domestication.
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