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Shahriari Z, Su X, Zheng K, Zhang Z. Advances and Prospects of Virus-Resistant Breeding in Tomatoes. Int J Mol Sci 2023; 24:15448. [PMID: 37895127 PMCID: PMC10607384 DOI: 10.3390/ijms242015448] [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: 08/01/2023] [Revised: 10/15/2023] [Accepted: 10/16/2023] [Indexed: 10/29/2023] Open
Abstract
Plant viruses are the main pathogens which cause significant quality and yield losses in tomato crops. The important viruses that infect tomatoes worldwide belong to five genera: Begomovirus, Orthotospovirus, Tobamovirus, Potyvirus, and Crinivirus. Tomato resistance genes against viruses, including Ty gene resistance against begomoviruses, Sw gene resistance against orthotospoviruses, Tm gene resistance against tobamoviruses, and Pot 1 gene resistance against potyviruses, have been identified from wild germplasm and introduced into cultivated cultivars via hybrid breeding. However, these resistance genes mainly exhibit qualitative resistance mediated by single genes, which cannot protect against virus mutations, recombination, mixed-infection, or emerging viruses, thus posing a great challenge to tomato antiviral breeding. Based on the epidemic characteristics of tomato viruses, we propose that future studies on tomato virus resistance breeding should focus on rapidly, safely, and efficiently creating broad-spectrum germplasm materials resistant to multiple viruses. Accordingly, we summarized and analyzed the advantages and characteristics of the three tomato antiviral breeding strategies, including marker-assisted selection (MAS)-based hybrid breeding, RNA interference (RNAi)-based transgenic breeding, and CRISPR/Cas-based gene editing. Finally, we highlighted the challenges and provided suggestions for improving tomato antiviral breeding in the future using the three breeding strategies.
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Affiliation(s)
- Zolfaghar Shahriari
- Biotechnology and Germplasm Resources Research Institute, Yunnan Academy of Agricultural Sciences, Yunnan Seed Laboratory, 2238# Beijing Rd, Panlong District, Kunming 650205, China; (Z.S.); (X.S.)
- Crop and Horticultural Science Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Shiraz 617-71555, Iran
| | - Xiaoxia Su
- Biotechnology and Germplasm Resources Research Institute, Yunnan Academy of Agricultural Sciences, Yunnan Seed Laboratory, 2238# Beijing Rd, Panlong District, Kunming 650205, China; (Z.S.); (X.S.)
| | - Kuanyu Zheng
- Biotechnology and Germplasm Resources Research Institute, Yunnan Academy of Agricultural Sciences, Yunnan Seed Laboratory, 2238# Beijing Rd, Panlong District, Kunming 650205, China; (Z.S.); (X.S.)
| | - Zhongkai Zhang
- Biotechnology and Germplasm Resources Research Institute, Yunnan Academy of Agricultural Sciences, Yunnan Seed Laboratory, 2238# Beijing Rd, Panlong District, Kunming 650205, China; (Z.S.); (X.S.)
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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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Nzepang DT, Gully D, Nguepjop JR, Zaiya Zazou A, Tossim HA, Sambou A, Rami JF, Hocher V, Fall S, Svistoonoff S, Fonceka D. Mapping of QTLs Associated with Biological Nitrogen Fixation Traits in Peanuts (Arachis hypogaea L.) Using an Interspecific Population Derived from the Cross between the Cultivated Species and Its Wild Ancestors. Genes (Basel) 2023; 14:genes14040797. [PMID: 37107555 PMCID: PMC10138160 DOI: 10.3390/genes14040797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/16/2023] [Accepted: 03/22/2023] [Indexed: 03/29/2023] Open
Abstract
Peanuts (Arachis hypogaea L.) are an allotetraploid grain legume mainly cultivated by poor farmers in Africa, in degraded soil and with low input systems. Further understanding nodulation genetic mechanisms could be a relevant option to facilitate the improvement of yield and lift up soil without synthetic fertilizers. We used a subset of 83 chromosome segment substitution lines (CSSLs) derived from the cross between a wild synthetic tetraploid AiAd (Arachis ipaensis × Arachis duranensis)4× and the cultivated variety Fleur11, and evaluated them for traits related to BNF under shade-house conditions. Three treatments were tested: without nitrogen; with nitrogen; and without nitrogen, but with added0 Bradyrhizobium vignae strain ISRA400. The leaf chlorophyll content and total biomass were used as surrogate traits for BNF. We found significant variations for both traits specially linked to BNF, and four QTLs (quantitative trait loci) were consistently mapped. At all QTLs, the wild alleles decreased the value of the trait, indicating a negative effect on BNF. A detailed characterization of the lines carrying those QTLs in controlled conditions showed that the QTLs affected the nitrogen fixation efficiency, nodule colonization, and development. Our results provide new insights into peanut nodulation mechanisms and could be used to target BNF traits in peanut breeding programs.
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Affiliation(s)
- Darius T. Nzepang
- Centre d’Etudes Régional pour l’Amélioration de l’Adaptation à la Sécheresse, CERAAS-Route de Khombole, Thiès BP 3320, Senegal
- PHIM Plant Health Institute, Univ Montpellier, IRD, CIRAD, INRAE, Institut Agro, Montpellier, France
- Laboratoire Commun de Microbiologie (LCM) (IRD/ISRA/UCAD), Centre de Recherche de Bel Air, Dakar BP 1386, Senegal
- Laboratoire Mixte International Adaptation des Plantes et Microorganismes Associés aux Stress Environnementaux (LAPSE), Centre de Recherche de Bel Air, Dakar CP 18524, 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
| | - Djamel Gully
- PHIM Plant Health Institute, Univ Montpellier, IRD, CIRAD, INRAE, Institut Agro, Montpellier, France
- Laboratoire Mixte International Adaptation des Plantes et Microorganismes Associés aux Stress Environnementaux (LAPSE), Centre de Recherche de Bel Air, Dakar CP 18524, Senegal
| | - Joël R. Nguepjop
- Centre d’Etudes Régional pour l’Amélioration de l’Adaptation à la Sécheresse, CERAAS-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
- CIRAD, UMR AGAP, F-34398 Montpellier, France
- AGAP, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Arlette Zaiya Zazou
- Institute of Agricultural Research for Development (IRAD) (IRAD), Maroua, Cameroon
| | - Hodo-Abalo Tossim
- Centre d’Etudes Régional pour l’Amélioration de l’Adaptation à la Sécheresse, CERAAS-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-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
- 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
- CIRAD, UMR AGAP, F-34398 Montpellier, France
- AGAP, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Valerie Hocher
- PHIM Plant Health Institute, Univ Montpellier, IRD, CIRAD, INRAE, Institut Agro, Montpellier, France
- Laboratoire Commun de Microbiologie (LCM) (IRD/ISRA/UCAD), Centre de Recherche de Bel Air, Dakar BP 1386, Senegal
- Laboratoire Mixte International Adaptation des Plantes et Microorganismes Associés aux Stress Environnementaux (LAPSE), Centre de Recherche de Bel Air, Dakar CP 18524, Senegal
| | - Saliou Fall
- Laboratoire Commun de Microbiologie (LCM) (IRD/ISRA/UCAD), Centre de Recherche de Bel Air, Dakar BP 1386, Senegal
- Laboratoire Mixte International Adaptation des Plantes et Microorganismes Associés aux Stress Environnementaux (LAPSE), Centre de Recherche de Bel Air, Dakar CP 18524, Senegal
| | - Sergio Svistoonoff
- PHIM Plant Health Institute, Univ Montpellier, IRD, CIRAD, INRAE, Institut Agro, Montpellier, France
- Laboratoire Mixte International Adaptation des Plantes et Microorganismes Associés aux Stress Environnementaux (LAPSE), Centre de Recherche de Bel Air, Dakar CP 18524, Senegal
| | - Daniel Fonceka
- Centre d’Etudes Régional pour l’Amélioration de l’Adaptation à la Sécheresse, CERAAS-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
- CIRAD, UMR AGAP, F-34398 Montpellier, France
- AGAP, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
- Correspondence:
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Saxena H, Kulshreshtha A, Agarwal A, Kumar A, Singh N, Jain CK. LDRGDb - Legumes disease resistance genes database. FRONTIERS IN PLANT SCIENCE 2023; 14:1143111. [PMID: 37143876 PMCID: PMC10151526 DOI: 10.3389/fpls.2023.1143111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 03/22/2023] [Indexed: 05/06/2023]
Abstract
Legumes comprise one of the world's largest, most diverse, and economically important plant families, known for their nutritional and medicinal benefits. Legumes are susceptible to a wide range of diseases, similar to other agricultural crops. Diseases have a considerable impact on the production of legume crop species, resulting in large yield losses worldwide. Due to continuous interactions between plants and their pathogens in the environment and the evolution of new pathogens under high selection pressure; disease resistant genes emerge in plant cultivars in the field against those pathogens or disease. Thus, disease resistant genes play critical roles in plant resistance responses, and their discovery and subsequent use in breeding programmes aid in reducing yield loss. The genomic era, with its high-throughput and low-cost genomic tools, has revolutionised our understanding of the complex interactions between legumes and pathogens, resulting in the identification of several critical participants in both the resistant and susceptible relationships. However, a substantial amount of existing information about numerous legume species has been disseminated as text or is preserved across fractions in different databases, posing a challenge for researchers. As a result, the range, scope, and complexity of these resources pose challenges to those who manage and use them. Therefore, there is an urgent need to develop tools and a single conjugate database to manage genetic information for the world's plant genetic resources, allowing for the rapid incorporation of essential resistance genes into breeding strategies. Here, developed the first comprehensive database of disease resistance genes named as LDRGDb - LEGUMES DISEASE RESISTANCE GENES DATABASE comprises 10 legumes [Pigeon pea (Cajanus cajan), Chickpea (Cicer arietinum), Soybean (Glycine max), Lentil (Lens culinaris), Alfalfa (Medicago sativa), Barrelclover (Medicago truncatula), Common bean (Phaseolus vulgaris), Pea (Pisum sativum),Faba bean (Vicia faba), and Cowpea (Vigna unguiculata)]. The LDRGDb is a user-friendly database developed by integrating a variety of tools and software that combine knowledge about resistant genes, QTLs, and their loci, with proteomics, pathway interactions, and genomics (https://ldrgdb.in/).
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Affiliation(s)
- Harshita Saxena
- Department of Biotechnology, Jaypee Institute of Information Technology, Noida, India
| | - Aishani Kulshreshtha
- Department of Biotechnology, Jaypee Institute of Information Technology, Noida, India
| | - Avinav Agarwal
- Department of Biotechnology, Jaypee Institute of Information Technology, Noida, India
| | - Anuj Kumar
- Department of Microbiology and Immunology, Dalhousie University, Halifax, NS, Canada
| | - Nisha Singh
- Department of Bioinformatics, Gujarat Biotechnology University, Gandhinagar, India
- *Correspondence: Chakresh Kumar Jain, ; Nisha Singh,
| | - Chakresh Kumar Jain
- Department of Biotechnology, Jaypee Institute of Information Technology, Noida, India
- *Correspondence: Chakresh Kumar Jain, ; Nisha Singh,
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Bohra A, Tiwari A, Kaur P, Ganie SA, Raza A, Roorkiwal M, Mir RR, Fernie AR, Smýkal P, Varshney RK. The Key to the Future Lies in the Past: Insights from Grain Legume Domestication and Improvement Should Inform Future Breeding Strategies. PLANT & CELL PHYSIOLOGY 2022; 63:1554-1572. [PMID: 35713290 PMCID: PMC9680861 DOI: 10.1093/pcp/pcac086] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/09/2022] [Accepted: 06/15/2022] [Indexed: 05/11/2023]
Abstract
Crop domestication is a co-evolutionary process that has rendered plants and animals significantly dependent on human interventions for survival and propagation. Grain legumes have played an important role in the development of Neolithic agriculture some 12,000 years ago. Despite being early companions of cereals in the origin and evolution of agriculture, the understanding of grain legume domestication has lagged behind that of cereals. Adapting plants for human use has resulted in distinct morpho-physiological changes between the wild ancestors and domesticates, and this distinction has been the focus of several studies aimed at understanding the domestication process and the genetic diversity bottlenecks created. Growing evidence from research on archeological remains, combined with genetic analysis and the geographical distribution of wild forms, has improved the resolution of the process of domestication, diversification and crop improvement. In this review, we summarize the significance of legume wild relatives as reservoirs of novel genetic variation for crop breeding programs. We describe key legume features, which evolved in response to anthropogenic activities. Here, we highlight how whole genome sequencing and incorporation of omics-level data have expanded our capacity to monitor the genetic changes accompanying these processes. Finally, we present our perspective on alternative routes centered on de novo domestication and re-domestication to impart significant agronomic advances of novel crops over existing commodities. A finely resolved domestication history of grain legumes will uncover future breeding targets to develop modern cultivars enriched with alleles that improve yield, quality and stress tolerance.
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Affiliation(s)
- Abhishek Bohra
- State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia
| | - Abha Tiwari
- Crop Improvement Division, ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kalyanpur, Kanpur 208024, India
| | - Parwinder Kaur
- UWA School of Agriculture and Environment, The University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia
| | - Showkat Ahmad Ganie
- Department of Biotechnology, Visva-Bharati, Santiniketan, Santiniketan Road, Bolpur 731235, India
| | - Ali Raza
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Center of Legume Crop Genetics and Systems Biology/College of Agriculture, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou 350002, China
| | - Manish Roorkiwal
- Khalifa Center for Genetic Engineering and Biotechnology (KCGEB), UAE University, Sheik Khalifa Bin Zayed Street, Al Ain, Abu Dhabi 15551, UAE
| | - Reyazul Rouf Mir
- Division of Genetics & Plant Breeding, Faculty of Agriculture, SKUAST, Shalimar, Srinagar 190025, India
| | - Alisdair R Fernie
- Department of Molecular Physiology, Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, Potsdam-Golm 14476, Germany
| | - Petr Smýkal
- Department of Botany, Faculty of Sciences, Palacky University, Křížkovského 511/8, Olomouc 78371, Czech Republic
| | - Rajeev K Varshney
- State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia
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Bohra A, Kilian B, Sivasankar S, Caccamo M, Mba C, McCouch SR, Varshney RK. Reap the crop wild relatives for breeding future crops. Trends Biotechnol 2021; 40:412-431. [PMID: 34629170 DOI: 10.1016/j.tibtech.2021.08.009] [Citation(s) in RCA: 78] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Revised: 08/30/2021] [Accepted: 08/30/2021] [Indexed: 02/07/2023]
Abstract
Crop wild relatives (CWRs) have provided breeders with several 'game-changing' traits or genes that have boosted crop resilience and global agricultural production. Advances in breeding and genomics have accelerated the identification of valuable CWRs for use in crop improvement. The enhanced genetic diversity of breeding pools carrying optimum combinations of favorable alleles for targeted crop-growing regions is crucial to sustain genetic gain. In parallel, growing sequence information on wild genomes in combination with precise gene-editing tools provide a fast-track route to transform CWRs into ideal future crops. Data-informed germplasm collection and management strategies together with adequate policy support will be equally important to improve access to CWRs and their sustainable use to meet food and nutrition security targets.
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Affiliation(s)
- Abhishek Bohra
- ICAR-Indian Institute of Pulses Research (IIPR), 208024 Kanpur, India
| | | | - Shoba Sivasankar
- International Atomic Energy Agency (IAEA), Vienna International Centre, 1400 Vienna, Austria
| | | | - Chikelu Mba
- Food and Agriculture Organization of the United Nations (FAO), Rome 00153, Italy
| | - Susan R McCouch
- Plant Breeding and Genetics, School of Integrative Plant Science, Cornell University, Ithaca, NY 14850, USA.
| | - Rajeev K Varshney
- Centre of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India; State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Murdoch University, Murdoch, WA 6150, Australia.
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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: 15] [Impact Index Per Article: 3.8] [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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Saxena RK, Kale S, Mir RR, Mallikarjuna N, Yadav P, Das RR, Molla J, Sonnappa M, Ghanta A, Narasimhan Y, Rathore A, Kumar CVS, Varshney RK. Genotyping-by-sequencing and multilocation evaluation of two interspecific backcross populations identify QTLs for yield-related traits in pigeonpea. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:737-749. [PMID: 31844966 DOI: 10.1007/s00122-019-03504-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 12/06/2019] [Indexed: 06/10/2023]
Abstract
This study has identified single-nucleotide polymorphism (SNP) markers associated with nine yield-related traits in pigeonpea by using two backcross populations (BP) developed through interspecific crosses and evaluating them at two locations and 3 years. In both the populations, markers have shown strong segregation distortion; therefore, a quantitative trait locus (QTL) mapping mixed model was used. A total of 86 QTLs explaining 12-21% phenotypic variation were detected in BP-1. On the other hand, 107 QTLs explaining 11-29% phenotypic variation were detected in BP-2. Although most QTLs were environment and trait specific, few stable and consistent QTLs were also detected. Interestingly, 11 QTLs in BP-2 were associated with more than one trait. Among these QTLs, eight QTLs associated with days to 50% flowering and days to 75% maturity were located on CcLG07. One SNP "S7_14185076" marker in BP-2 population has been found associated with four traits, namely days to 50% flowering, days to 75% maturity, primary branches per plant and secondary branches per plant with positive additive effect. Hence, the present study has not only identified QTLs for yield-related traits, but also discovered novel alleles from wild species, which can be used for improvement of traits through genomics-assisted breeding.
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Affiliation(s)
- Rachit K Saxena
- International Crops Research Institute for the Semi-Arid Tropics (ICRSAT), Patancheru, Telangana, 502324, India
| | - Sandip Kale
- The Leibniz-Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, 06466, Seeland, OT Gatersleben, Germany
| | - Reyazul Rouf Mir
- Sher-E-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K), Wadura Campus, Sopore, Kashmir, 193201, India
| | - Nalini Mallikarjuna
- International Crops Research Institute for the Semi-Arid Tropics (ICRSAT), Patancheru, Telangana, 502324, India
| | - Pooja Yadav
- International Crops Research Institute for the Semi-Arid Tropics (ICRSAT), Patancheru, Telangana, 502324, India
| | - Roma Rani Das
- International Crops Research Institute for the Semi-Arid Tropics (ICRSAT), Patancheru, Telangana, 502324, India
| | - Johiruddin Molla
- International Crops Research Institute for the Semi-Arid Tropics (ICRSAT), Patancheru, Telangana, 502324, India
| | - Muniswamy Sonnappa
- Agricultural Research Station (UAS-Raichur), Gulbarga, Karnataka, 585101, India
| | - Anuradha Ghanta
- Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad, Telangana, 500030, India
| | - Yamini Narasimhan
- Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad, Telangana, 500030, India
| | - Abhishek Rathore
- International Crops Research Institute for the Semi-Arid Tropics (ICRSAT), Patancheru, Telangana, 502324, India
| | - C V Sameer Kumar
- Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad, Telangana, 500030, India
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRSAT), Patancheru, Telangana, 502324, India.
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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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