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Danakumara T, Kumar N, Patil BS, Kumar T, Bharadwaj C, Jain PK, Nimmy MS, Joshi N, Parida SK, Bindra S, Kole C, Varshney RK. Unraveling the genetics of heat tolerance in chickpea landraces ( Cicer arietinum L.) using genome-wide association studies. FRONTIERS IN PLANT SCIENCE 2024; 15:1376381. [PMID: 38590753 PMCID: PMC10999645 DOI: 10.3389/fpls.2024.1376381] [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: 01/25/2024] [Accepted: 03/11/2024] [Indexed: 04/10/2024]
Abstract
Chickpea, being an important grain legume crop, is often confronted with the adverse effects of high temperatures at the reproductive stage of crop growth, drastically affecting yield and overall productivity. The current study deals with an extensive evaluation of chickpea genotypes, focusing on the traits associated with yield and their response to heat stress. Notably, we observed significant variations for these traits under both normal and high-temperature conditions, forming a robust basis for genetic research and breeding initiatives. Furthermore, the study revealed that yield-related traits exhibited high heritability, suggesting their potential suitability for marker-assisted selection. We carried out single-nucleotide polymorphism (SNP) genotyping using the genotyping-by-sequencing (GBS) method for a genome-wide association study (GWAS). Overall, 27 marker-trait associations (MTAs) linked to yield-related traits, among which we identified five common MTAs displaying pleiotropic effects after applying a stringent Bonferroni-corrected p-value threshold of <0.05 [-log10(p) > 4.95] using the BLINK (Bayesian-information and linkage-disequilibrium iteratively nested keyway) model. Through an in-depth in silico analysis of these markers against the CDC Frontier v1 reference genome, we discovered that the majority of the SNPs were located at or in proximity to gene-coding regions. We further explored candidate genes situated near these MTAs, shedding light on the molecular mechanisms governing heat stress tolerance and yield enhancement in chickpeas such as indole-3-acetic acid-amido synthetase GH3.1 with GH3 auxin-responsive promoter and pentatricopeptide repeat-containing protein, etc. The harvest index (HI) trait was associated with marker Ca3:37444451 encoding aspartic proteinase ortholog sequence of Oryza sativa subsp. japonica and Medicago truncatula, which is known for contributing to heat stress tolerance. These identified MTAs and associated candidate genes may serve as valuable assets for breeding programs dedicated to tailoring chickpea varieties resilient to heat stress and climate change.
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Affiliation(s)
| | - Neeraj Kumar
- ICAR- Indian Agricultural Research Institute, New Delhi, India
| | | | - Tapan Kumar
- International Centre for Agricultural Research in the Dry Areas, Amlaha, Madhya Pradesh, India
| | | | | | | | - Nilesh Joshi
- ICAR- Indian Agricultural Research Institute, New Delhi, India
| | | | | | - Chittaranjan Kole
- Prof. Chittaranjan Kole Foundation for Science & Society, Kolkatta, India
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Fufa TW, Menamo TM, Abtew WG, Amadi CO, Oselebe HO. Detection of the local adaptive and genome-wide associated loci in southeast Nigerian taro (Colocasia esculenta (L.) Schott) populations. BMC Genomics 2023; 24:39. [PMID: 36694124 PMCID: PMC9872430 DOI: 10.1186/s12864-023-09134-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 01/13/2023] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Taro has a long history of being consumed and remains orphan and on the hand Nigeria farmers. The role of farmer-driven artificial selection is not negligible to fit landraces to a particular ecological condition. Limited study has been conducted on genome-wide association and no study has been conducted on genome-environment association for clinal adaptation for taro. Therefore, the objective of this study was to detect loci that are associated with environmental variables and phenotype traits and forward input to breeders. The study used 92 geographical referred taro landraces collected from Southeast (SE) Nigeria. RESULTS The result indicates that SE Nigerian taro has untapped phenotype and genetic variability with low admixture. Redundancy analysis indicated that collinear explained SNP variation more than single climatic variable. Overall, the results indicated that no single method exclusively was able to capture population confounding effects better than the others for all six traits. Nevertheless, based on overall model performance, Blink seemed to provide slight advantage over other models and was selected for all subsequent assessment of genome-environment association (GEA) and genome-wide association study (GWAS) models. Genome scan and GEA identified local adapted loci and co-located genes. A total of nine SNP markers associated with environmental variables. Some of the SNP markers (such as S_101024366) co-located with genes which previously reported for climatic adaptation such as astringency, diaminopimelate decarboxylase and MYB transcription factor. Genome-wide association also identified 45, 40 and 34 significant SNP markers associated with studied traits in combined, year 1 and year 2 data sets, respectively. Out of these, five SNP markers (S1_18891752 S3_100795476, S1_100584471 S1_100896936 and S2_10058799) were consistent in two different data sets. CONCLUSIONS The findings from this study improve our understanding of the genetic control of adaptive and phenotypic traits in Nigerian taro. However, the study suggests further study on identification of local adaptive loci and GWAS through collection of more landraces throughout the country, and across different agro-ecologies.
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Affiliation(s)
- Tilahun Wondimu Fufa
- Department of Horticulture, Oromia Agricultural Research Institute, Addis Ababa, Ethiopia ,grid.412141.30000 0001 2033 5930Department of Crop Production and Landscape Management, Ebonyi State University, Abakaliki, Nigeria
| | - Temesgen Matiwos Menamo
- grid.411903.e0000 0001 2034 9160Department of Plant Science and Horticulture, Jimma University, Jimma, Ethiopia
| | - Wosene Gebreselassie Abtew
- grid.411903.e0000 0001 2034 9160Department of Plant Science and Horticulture, Jimma University, Jimma, Ethiopia
| | - Charles Okechukwu Amadi
- grid.463494.80000 0004 1785 3042Cocoyam Improvement Programme, National Root Crops Research Institute, Umudike, Nigeria
| | - Happiness Ogba Oselebe
- grid.412141.30000 0001 2033 5930Department of Crop Production and Landscape Management, Ebonyi State University, Abakaliki, Nigeria
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Gómez-Espejo AL, Sansaloni CP, Burgueño J, Toledo FH, Benavides-Mendoza A, Reyes-Valdés MH. Worldwide Selection Footprints for Drought and Heat in Bread Wheat (Triticum aestivum L.). PLANTS 2022; 11:plants11172289. [PMID: 36079671 PMCID: PMC9460392 DOI: 10.3390/plants11172289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 08/18/2022] [Accepted: 08/29/2022] [Indexed: 11/16/2022]
Abstract
Genome–environment Associations (GEA) or Environmental Genome-Wide Association scans (EnvGWAS) have been poorly applied for studying the genomics of adaptive traits in bread wheat landraces (Triticum aestivum L.). We analyzed 990 landraces and seven climatic variables (mean temperature, maximum temperature, precipitation, precipitation seasonality, heat index of mean temperature, heat index of maximum temperature, and drought index) in GEA using the FarmCPU approach with GAPIT. Historical temperature and precipitation values were obtained as monthly averages from 1970 to 2000. Based on 26,064 high-quality SNP loci, landraces were classified into ten subpopulations exhibiting high genetic differentiation. The GEA identified 59 SNPs and nearly 89 protein-encoding genes involved in the response processes to abiotic stress. Genes related to biosynthesis and signaling are mainly mediated by auxins, abscisic acid (ABA), ethylene (ET), salicylic acid (SA), and jasmonates (JA), which are known to operate together in modulation responses to heat stress and drought in plants. In addition, we identified some proteins associated with the response and tolerance to stress by high temperatures, water deficit, and cell wall functions. The results provide candidate regions for selection aimed to improve drought and heat tolerance in bread wheat and provide insights into the genetic mechanisms involved in adaptation to extreme environments.
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Affiliation(s)
- Ana L. Gómez-Espejo
- Programa de Doctorado en Recursos Fitogenéticos para Zonas Áridas, Universidad Autónoma Agraria Antonio Narro (UAAAN), Saltillo 25315, Mexico or
| | | | - Juan Burgueño
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco 56237, Mexico
| | - Fernando H. Toledo
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco 56237, Mexico
| | - Adalberto Benavides-Mendoza
- Programa de Doctorado en Recursos Fitogenéticos para Zonas Áridas, Universidad Autónoma Agraria Antonio Narro (UAAAN), Saltillo 25315, Mexico or
| | - M. Humberto Reyes-Valdés
- Programa de Doctorado en Recursos Fitogenéticos para Zonas Áridas, Universidad Autónoma Agraria Antonio Narro (UAAAN), Saltillo 25315, Mexico or
- Correspondence:
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Srungarapu R, Mahendrakar MD, Mohammad LA, Chand U, Jagarlamudi VR, Kondamudi KP, Kudapa H, Samineni S. Genome-Wide Association Analysis Reveals Trait-Linked Markers for Grain Nutrient and Agronomic Traits in Diverse Set of Chickpea Germplasm. Cells 2022; 11:cells11152457. [PMID: 35954301 PMCID: PMC9367858 DOI: 10.3390/cells11152457] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/22/2022] [Accepted: 07/29/2022] [Indexed: 11/16/2022] Open
Abstract
Chickpea is an inexpensive source of protein, minerals, and vitamins to the poor people living in arid and semi-arid regions of Southern Asia and Sub-Saharan Africa. New chickpea cultivars with enhanced levels of protein, Fe and Zn content are a medium-term strategy for supplying essential nutrients for human health and reducing malnutrition. In the current study, a chickpea reference set of 280 accessions, including landraces, breeding lines, and advanced cultivars, was evaluated for grain protein, Fe, Zn content and agronomic traits over two seasons. Using a mid-density 5k SNP array, 4603 highly informative SNPs distributed across the chickpea genome were used for GWAS analysis. Population structure analysis revealed three subpopulations (K = 3). Linkage disequilibrium (LD) was extensive, and LD decay was relatively low. A total of 20 and 46 marker-trait associations (MTAs) were identified for grain nutrient and agronomic traits, respectively, using FarmCPU and BLINK models. Of which seven SNPs for grain protein, twelve for Fe, and one for Zn content were distributed on chromosomes 1, 4, 6, and 7. The marker S4_4477846 on chr4 was found to be co-associated with grain protein over seasons. The markers S1_11613376 and S1_2772537 co-associated with grain Fe content under NSII and pooled seasons and S7_9379786 marker under NSI and pooled seasons. The markers S4_31996956 co-associated with grain Fe and days to maturity. SNP annotation of associated markers were found to be related to gene functions of metal ion binding, transporters, protein kinases, transcription factors, and many more functions involved in plant metabolism along with Fe and protein homeostasis. The identified significant MTAs has potential use in marker-assisted selection for developing nutrient-rich chickpea cultivars after validation in the breeding populations.
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Affiliation(s)
- Rajasekhar Srungarapu
- Accelerated Crop Improvement, Chickpea Breeding, International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502324, India
- Department of Molecular Biology and Biotechnology, Acharya N.G. Ranga Agricultural University, Guntur 522034, India
| | - Mahesh Damodhar Mahendrakar
- Accelerated Crop Improvement, Chickpea Breeding, International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502324, India
| | - Lal Ahamed Mohammad
- Department of Genetics and Plant Breeding, Acharya N.G. Ranga Agricultural University, Guntur 522034, India
| | - Uttam Chand
- Accelerated Crop Improvement, Chickpea Breeding, International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502324, India
| | - Venkata Ramana Jagarlamudi
- Department of Genetics and Plant Breeding, Acharya N.G. Ranga Agricultural University, Guntur 522034, India
| | - Kiran Prakash Kondamudi
- Department of Statistics and Computer Applications, Acharya N.G. Ranga Agricultural University, Guntur 522034, India
| | - Himabindu Kudapa
- Genomics, Pre-Breeding and Bioinformatics, International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502324, India
| | - Srinivasan Samineni
- Accelerated Crop Improvement, Chickpea Breeding, International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502324, India
- Correspondence:
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Rocchetti L, Gioia T, Logozzo G, Brezeanu C, Pereira LG, la Rosa LD, Marzario S, Pieri A, Fernie AR, Alseekh S, Susek K, Cook DR, Varshney RK, Agrawal SK, Hamwieh A, Bitocchi E, Papa R. Towards the Development, Maintenance and Standardized Phenotypic Characterization of Single-Seed-Descent Genetic Resources for Chickpea. Curr Protoc 2022; 2:e371. [PMID: 35179832 DOI: 10.1002/cpz1.371] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Here we present the approach used to develop the INCREASE "Intelligent Chickpea" Collections, from analysis of the information on the life history and population structure of chickpea germplasm, the availability of genomic and genetic resources, the identification of key phenotypic traits and methodologies to characterize chickpea. We present two phenotypic protocols within H2O20 Project INCREASE to characterize, develop, and maintain chickpea single-seed-descent (SSD) line collections. Such protocols and related genetic resource data from the project will be available for the legume community to apply the standardized approaches to develop Chickpea Intelligent Collections further or for multiplication/seed-increase purposes. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Characterization of chickpea seeds for seed-trait descriptors Basic Protocol 2: Characterization of chickpea lines for plant-trait descriptors specific for primary seed increase.
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Affiliation(s)
- Lorenzo Rocchetti
- Department of Agricultural, Food, and Environmental Sciences, Polytechnic University of Marche, Ancona, Italy
| | - Tania Gioia
- School of Agriculture, Forestry, Food, and Environmental Sciences, University of Basilicata, Potenza, Italy
| | - Giuseppina Logozzo
- School of Agriculture, Forestry, Food, and Environmental Sciences, University of Basilicata, Potenza, Italy
| | - Creola Brezeanu
- Staţiunea de Cercetare Dezvoltare Pentru Legumicultură, Bacău, Romania
| | - Luis Guasch Pereira
- Spanish Plant Genetic Resources National Center, National Institute for Agricultural and Food Research and Technology (CRF-INIA-CSIC), Alcalá de Henares, Madrid, Spain
| | - Lucía De la Rosa
- Spanish Plant Genetic Resources National Center, National Institute for Agricultural and Food Research and Technology (CRF-INIA-CSIC), Alcalá de Henares, Madrid, Spain
| | - Stefania Marzario
- School of Agriculture, Forestry, Food, and Environmental Sciences, University of Basilicata, Potenza, Italy
| | - Alice Pieri
- Department of Agricultural, Food, and Environmental Sciences, Polytechnic University of Marche, Ancona, Italy
| | - Alisdair R Fernie
- Max-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Saleh Alseekh
- Max-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.,Center for Plant Systems Biology, Plovdiv, Bulgaria
| | - Karolina Susek
- Legume Genomics Team, Institute of Plant Genetics, Polish Academy of Sciences, Poznan, Poland
| | - Douglas R Cook
- Department of Plant Pathology, University of California Davis, Davis, California
| | - Rajeev K Varshney
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, India
| | - Shiv Kumar Agrawal
- Genetic Resources Section, International Center for Agricultural Research in Dry Areas (ICARDA), Agdal Rabat, Morocco
| | - Aladdin Hamwieh
- Genetic Resources Section, International Center for Agricultural Research in Dry Areas (ICARDA), Agdal Rabat, Morocco
| | - Elena Bitocchi
- Department of Agricultural, Food, and Environmental Sciences, Polytechnic University of Marche, Ancona, Italy
| | - Roberto Papa
- Department of Agricultural, Food, and Environmental Sciences, Polytechnic University of Marche, Ancona, Italy
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Sokolkova AB, Bulyntsev SV, Chang PL, Carrasquila-Garcia N, Cook DR, von Wettberg E, Vishnyakova MA, Nuzhdin SV, Samsonova MG. The Search for Agroislands in the Chickpea Genome. Biophysics (Nagoya-shi) 2021. [DOI: 10.1134/s0006350921030192] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Sokolkova AB, Bulyntsev SV, Chang PL, Carrasquila-Garcia N, Cook DR, von Wettberg E, Vishnyakova MA, Nuzhdin SV, Samsonova MG. A Genomic Analysis of Historic Chickpea Landraces. Biophysics (Nagoya-shi) 2021. [DOI: 10.1134/s0006350921010061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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Rodriguez M, Scintu A, Posadinu CM, Xu Y, Nguyen CV, Sun H, Bitocchi E, Bellucci E, Papa R, Fei Z, Giovannoni JJ, Rau D, Attene G. GWAS Based on RNA-Seq SNPs and High-Throughput Phenotyping Combined with Climatic Data Highlights the Reservoir of Valuable Genetic Diversity in Regional Tomato Landraces. Genes (Basel) 2020; 11:E1387. [PMID: 33238469 PMCID: PMC7709041 DOI: 10.3390/genes11111387] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 11/19/2020] [Accepted: 11/20/2020] [Indexed: 11/23/2022] Open
Abstract
Tomato (Solanum lycopersicum L.) is a widely used model plant species for dissecting out the genomic bases of complex traits to thus provide an optimal platform for modern "-omics" studies and genome-guided breeding. Genome-wide association studies (GWAS) have become a preferred approach for screening large diverse populations and many traits. Here, we present GWAS analysis of a collection of 115 landraces and 11 vintage and modern cultivars. A total of 26 conventional descriptors, 40 traits obtained by digital phenotyping, the fruit content of six carotenoids recorded at the early ripening (breaker) and red-ripe stages and 21 climate-related variables were analyzed in the context of genetic diversity monitored in the 126 accessions. The data obtained from thorough phenotyping and the SNP diversity revealed by sequencing of ripe fruit transcripts of 120 of the tomato accessions were jointly analyzed to determine which genomic regions are implicated in the expressed phenotypic variation. This study reveals that the use of fruit RNA-Seq SNP diversity is effective not only for identification of genomic regions that underlie variation in fruit traits, but also of variation related to additional plant traits and adaptive responses to climate variation. These results allowed validation of our approach because different marker-trait associations mapped on chromosomal regions where other candidate genes for the same traits were previously reported. In addition, previously uncharacterized chromosomal regions were targeted as potentially involved in the expression of variable phenotypes, thus demonstrating that our tomato collection is a precious reservoir of diversity and an excellent tool for gene discovery.
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Affiliation(s)
- Monica Rodriguez
- Dipartimento di Agraria, Università degli Studi di Sassari, 07100 Sassari, Italy; (A.S.); (C.M.P.); (D.R.); (G.A.)
- Centro per la Conservazione e Valorizzazione della Biodiversità Vegetale—CBV, Università degli Studi di Sassari, 07041 Alghero, Italy
| | - Alessandro Scintu
- Dipartimento di Agraria, Università degli Studi di Sassari, 07100 Sassari, Italy; (A.S.); (C.M.P.); (D.R.); (G.A.)
| | - Chiara M. Posadinu
- Dipartimento di Agraria, Università degli Studi di Sassari, 07100 Sassari, Italy; (A.S.); (C.M.P.); (D.R.); (G.A.)
| | - Yimin Xu
- Boyce Thompson Institute for Plant Research and U.S. Department of Agriculture—Agriculture Research Service, Ithaca, New York, NY 14853, USA; (Y.X.); (H.S.); (Z.F.); (J.J.G.)
| | - Cuong V. Nguyen
- Global Institute for Food Security, University of Saskatchewan, Saskatoon, SK S7N 0W9, Canada;
| | - Honghe Sun
- Boyce Thompson Institute for Plant Research and U.S. Department of Agriculture—Agriculture Research Service, Ithaca, New York, NY 14853, USA; (Y.X.); (H.S.); (Z.F.); (J.J.G.)
| | - Elena Bitocchi
- Dipartimento di Scienze Agrarie, Alimentari e Ambientali—D3A, Università Politecnica delle Marche, 60131 Ancona, Italy; (E.B.); (E.B.); (R.P.)
| | - Elisa Bellucci
- Dipartimento di Scienze Agrarie, Alimentari e Ambientali—D3A, Università Politecnica delle Marche, 60131 Ancona, Italy; (E.B.); (E.B.); (R.P.)
| | - Roberto Papa
- Dipartimento di Scienze Agrarie, Alimentari e Ambientali—D3A, Università Politecnica delle Marche, 60131 Ancona, Italy; (E.B.); (E.B.); (R.P.)
| | - Zhangjun Fei
- Boyce Thompson Institute for Plant Research and U.S. Department of Agriculture—Agriculture Research Service, Ithaca, New York, NY 14853, USA; (Y.X.); (H.S.); (Z.F.); (J.J.G.)
| | - James J. Giovannoni
- Boyce Thompson Institute for Plant Research and U.S. Department of Agriculture—Agriculture Research Service, Ithaca, New York, NY 14853, USA; (Y.X.); (H.S.); (Z.F.); (J.J.G.)
| | - Domenico Rau
- Dipartimento di Agraria, Università degli Studi di Sassari, 07100 Sassari, Italy; (A.S.); (C.M.P.); (D.R.); (G.A.)
| | - Giovanna Attene
- Dipartimento di Agraria, Università degli Studi di Sassari, 07100 Sassari, Italy; (A.S.); (C.M.P.); (D.R.); (G.A.)
- Centro per la Conservazione e Valorizzazione della Biodiversità Vegetale—CBV, Università degli Studi di Sassari, 07041 Alghero, Italy
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