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Sinare B, Desmae H, Nebié B, Konate D, John Eleblu, Miningou A, Traoré A, Ofori K, Zagre B. Diallel analysis, maternal effect and heritability in groundnut for yield components and oil content. Heliyon 2024; 10:e33379. [PMID: 39022008 PMCID: PMC11253538 DOI: 10.1016/j.heliyon.2024.e33379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 06/19/2024] [Accepted: 06/20/2024] [Indexed: 07/20/2024] Open
Abstract
Background Groundnut is one of the world's major food and oil crops. Being sources of nutrition and vegetable oil, rich in affordable and digestible protein, it is a strategic crop in Burkina Faso for food security, nutrition, and cash income. Understanding the nature of gene effect and genetic variation affecting yield and yield component traits will contribute to designing appropriate breeding methods for groundnut improvement and increase selection efficiency in Burkina Faso. Methods In 2018, a total of 30 F2 progenies were generated through a 6 x 6 full diallel mating using six different and contrasting varieties. In 2019, parents and progenies were evaluated in a lattice square design in 3 replications at ICRISAT-Mali experimental field to assess the general combining ability (GCA) and specific combining ability (SCA) effects, the inheritance and the maternal and reciprocal effects for yield component traits (YCT) and oil content (OC). Results Significant variabilities were observed among the parental genotypes and their F2 progenies for DTH, PSR, HPW, PL, PWD, SL, SWD, and OAC. Mean performance of the six parents were HPW (117.05g), HSW (57.24 g), PYH (1914.76), SYH (1312.73), PL (2.52), PWD (1,19), SL (1.38), SWD (0.83), OC (49.43), OAC (50.43) and LAC (33.61). Parent QH243C presented the highest value for SWD (1.02 cm) and OAC (60.76) while the parent ICGV09195 had the highest value of OC (50.36). Chalimbana presented the highest value of HPW (169.61 g), PL (2.98 cm), PWD (1. 41 cm), and SL (1.57 cm) while CG7 presented the highest value for HSW (75. 14 g), and SYH (1639.28 kg). Both YCT and OC are controlled by additive and non-additive gene effects with a predominance of additive gene action for HSW, SL, and SWD, whereas HPW, PL, PWD, and OAC were found to be more controlled by non-additive gene effects. Maternal effects as well as nuclear and cytoplasmic interaction effects were observed for both YCT and OC indicating that YCT and OC are influenced by a combination of genetic factors from both the maternal parent and the nuclear genome, as well as cytoplasmic factors such as mitochondrial DNA. Broad sense heritability ranged from 3.76 % to 91.56 %, and higher broad sense heritability values were recorded for pod length (91.56 %), hundred pod weight (83.71 %) and pod width (80.95 %). Conclusion The study yields valuable insights into the inheritance of YCT and OC. The parents, Chalimbana and CG7, showed promise as good combiners for both yield component traits and oil content when used as male parents while TE3, Sh470P and QH243C can be used as female for the oil content and its components (oleic and linoleic content).
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Affiliation(s)
- Boubacar Sinare
- West Africa Centre for Crop Improvement (WACCI), University of Ghana (UG), PMB 30, Legon, Accra, Ghana
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), BP 320, Bamako, Mali
- Institut National de l’Environnement et de Recherche Agricole (INERA), 04 BP 8645 04, Ouagadougou, Burkina Faso
| | - Haile Desmae
- International Maize and Wheat Improvement Center (CIMMYT-Senegal), Dakar, Senegal
| | - Baloua Nebié
- International Maize and Wheat Improvement Center (CIMMYT-Senegal), Dakar, Senegal
| | - Djeneba Konate
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), BP 320, Bamako, Mali
| | - John Eleblu
- West Africa Centre for Crop Improvement (WACCI), University of Ghana (UG), PMB 30, Legon, Accra, Ghana
| | - Amos Miningou
- Institut National de l’Environnement et de Recherche Agricole (INERA), 04 BP 8645 04, Ouagadougou, Burkina Faso
| | - Appolinaire Traoré
- Institut National de l’Environnement et de Recherche Agricole (INERA), 04 BP 8645 04, Ouagadougou, Burkina Faso
| | - Kwadwo Ofori
- West Africa Centre for Crop Improvement (WACCI), University of Ghana (UG), PMB 30, Legon, Accra, Ghana
| | - Bertin Zagre
- Institut National de l’Environnement et de Recherche Agricole (INERA), 04 BP 8645 04, Ouagadougou, Burkina Faso
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Raza A, Chen H, Zhang C, Zhuang Y, Sharif Y, Cai T, Yang Q, Soni P, Pandey MK, Varshney RK, Zhuang W. Designing future peanut: the power of genomics-assisted breeding. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:66. [PMID: 38438591 DOI: 10.1007/s00122-024-04575-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 02/03/2024] [Indexed: 03/06/2024]
Abstract
KEY MESSAGE Integrating GAB methods with high-throughput phenotyping, genome editing, and speed breeding hold great potential in designing future smart peanut cultivars to meet market and food supply demands. Cultivated peanut (Arachis hypogaea L.), a legume crop greatly valued for its nourishing food, cooking oil, and fodder, is extensively grown worldwide. Despite decades of classical breeding efforts, the actual on-farm yield of peanut remains below its potential productivity due to the complicated interplay of genotype, environment, and management factors, as well as their intricate interactions. Integrating modern genomics tools into crop breeding is necessary to fast-track breeding efficiency and rapid progress. When combined with speed breeding methods, this integration can substantially accelerate the breeding process, leading to faster access of improved varieties to farmers. Availability of high-quality reference genomes for wild diploid progenitors and cultivated peanuts has accelerated the process of gene/quantitative locus discovery, developing markers and genotyping assays as well as a few molecular breeding products with improved resistance and oil quality. The use of new breeding tools, e.g., genomic selection, haplotype-based breeding, speed breeding, high-throughput phenotyping, and genome editing, is probable to boost genetic gains in peanut. Moreover, renewed attention to efficient selection and exploitation of targeted genetic resources is also needed to design high-quality and high-yielding peanut cultivars with main adaptation attributes. In this context, the combination of genomics-assisted breeding (GAB), genome editing, and speed breeding hold great potential in designing future improved peanut cultivars to meet market and food supply demands.
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Affiliation(s)
- Ali Raza
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Hua Chen
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Chong Zhang
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Yuhui Zhuang
- College of Life Science, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Yasir Sharif
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Tiecheng Cai
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Qiang Yang
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Pooja Soni
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, 502324, India
| | - Manish K Pandey
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, 502324, India
| | - Rajeev K Varshney
- WA State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA, 6150, Australia.
| | - Weijian Zhuang
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China.
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Ikram M, Rauf A, Rao MJ, Maqsood MFK, Bakhsh MZM, Ullah M, Batool M, Mehran M, Tahira M. CRISPR-Cas9 based molecular breeding in crop plants: a review. Mol Biol Rep 2024; 51:227. [PMID: 38281301 DOI: 10.1007/s11033-023-09086-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 11/30/2023] [Indexed: 01/30/2024]
Abstract
Traditional crop breeding techniques are not quickly boosting yields to fulfill the expanding population needs. Long crop lifespans hinder the ability of plant breeding to develop superior crop varieties. Due to the arduous crossing, selecting, and challenging processes, it can take decades to establish new varieties with desired agronomic traits. Develop new plant varieties instantly to reduce hunger and improve food security. As a result of the adoption of conventional agricultural techniques, crop genetic diversity has decreased over time. Several traditional and molecular techniques, such as genetic selection, mutant breeding, somaclonal variation, genome-wide association studies, and others, have improved agronomic traits associated with agricultural plant productivity, quality, and resistance to biotic and abiotic stresses. In addition, modern genome editing approaches based on programmable nucleases, CRISPR, and Cas9 proteins have escorted an exciting new era of plant breeding. Plant breeders and scientists worldwide rely on cutting-edge techniques like quick breeding, genome editing tools, and high-throughput phenotyping to boost crop breeding output. This review compiles discoveries in numerous areas of crop breeding, such as using genome editing tools to accelerate the breeding process and create yearly crop generations with the desired features, to describe the shift from conventional to modern plant breeding techniques.
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Affiliation(s)
- Muhammad Ikram
- MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Abdul Rauf
- National Key Laboratory of Horticultural Plant Biology, Ministry of Education, Wuhan, 430070, Hubei, China
| | - Muhammad Junaid Rao
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, 100 Daxue Rd., Nanning, 530004, China.
| | | | | | - Maaz Ullah
- MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Maria Batool
- MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Muhammad Mehran
- Key Laboratory of Arable Land Conservation, Huazhong Agricultural University, Ministry of Agriculture, Wuhan, 430070, China
| | - Maryam Tahira
- National Key Laboratory of Horticultural Plant Biology, Ministry of Education, Wuhan, 430070, Hubei, China
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Lokya V, Parmar S, Pandey AK, Sudini HK, Huai D, Ozias-Akins P, Foyer CH, Nwosu CV, Karpinska B, Baker A, Xu P, Liao B, Mir RR, Chen X, Guo B, Nguyen HT, Kumar R, Bera SK, Singam P, Kumar A, Varshney RK, Pandey MK. Prospects for developing allergen-depleted food crops. THE PLANT GENOME 2023; 16:e20375. [PMID: 37641460 DOI: 10.1002/tpg2.20375] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 06/08/2023] [Accepted: 07/21/2023] [Indexed: 08/31/2023]
Abstract
In addition to the challenge of meeting global demand for food production, there are increasing concerns about food safety and the need to protect consumer health from the negative effects of foodborne allergies. Certain bio-molecules (usually proteins) present in food can act as allergens that trigger unusual immunological reactions, with potentially life-threatening consequences. The relentless working lifestyles of the modern era often incorporate poor eating habits that include readymade prepackaged and processed foods, which contain additives such as peanuts, tree nuts, wheat, and soy-based products, rather than traditional home cooking. Of the predominant allergenic foods (soybean, wheat, fish, peanut, shellfish, tree nuts, eggs, and milk), peanuts (Arachis hypogaea) are the best characterized source of allergens, followed by tree nuts (Juglans regia, Prunus amygdalus, Corylus avellana, Carya illinoinensis, Anacardium occidentale, Pistacia vera, Bertholletia excels), wheat (Triticum aestivum), soybeans (Glycine max), and kidney beans (Phaseolus vulgaris). The prevalence of food allergies has risen significantly in recent years including chance of accidental exposure to such foods. In contrast, the standards of detection, diagnosis, and cure have not kept pace and unfortunately are often suboptimal. In this review, we mainly focus on the prevalence of allergies associated with peanut, tree nuts, wheat, soybean, and kidney bean, highlighting their physiological properties and functions as well as considering research directions for tailoring allergen gene expression. In particular, we discuss how recent advances in molecular breeding, genetic engineering, and genome editing can be used to develop potential low allergen food crops that protect consumer health.
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Affiliation(s)
- Vadthya Lokya
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Sejal Parmar
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Arun K Pandey
- College of Life Science of China Jiliang University (CJLU), Hangzhou, China
| | - Hari K Sudini
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Dongxin Huai
- 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, China
| | - Peggy Ozias-Akins
- Horticulture Department, The University of Georgia Tifton Campus, Tifton, GA, USA
| | - Christine H Foyer
- School of Biosciences, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, UK
| | | | - Barbara Karpinska
- School of Biosciences, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, UK
| | - Alison Baker
- Centre for Plant Sciences and School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK
| | - Pei Xu
- College of Life Science of China Jiliang University (CJLU), Hangzhou, China
| | - Boshou Liao
- 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, China
| | - Reyazul Rouf Mir
- Division of Genetics and Plant Breeding, Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology, Srinagar, India
| | - Xiaoping Chen
- Guangdong Provincial Key Laboratory for Crops Genetic Improvement, Crops Research Institute of Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Baozhu Guo
- USDA-ARS, Crop Genetics and Breeding Research Unit, Tifton, GA, USA
| | - Henry T Nguyen
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO, USA
| | - Rakesh Kumar
- Department of Life Sciences, Central University of Karnataka, Gulbarga, India
| | | | - Prashant Singam
- Department of Genetics, Osmania University, Hyderabad, India
| | - Anirudh Kumar
- Central Tribal University of Andhra Pradesh, Vizianagaram, Andhra Pradesh, India
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- State Agricultural Biotechnology Centre, Crop Research Innovation Centre, Food Futures Institute, Murdoch University, Murdoch, Western Australia, Australia
| | - Manish K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
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Ajayi OO, Bregitzer P, Klos K, Hu G, Walling JG, Mahalingam R. QTL mapping of shoot and seed traits impacted by Drought in Barley using a recombinant inbred line Population. BMC PLANT BIOLOGY 2023; 23:283. [PMID: 37245001 DOI: 10.1186/s12870-023-04292-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/17/2023] [Indexed: 05/29/2023]
Abstract
BACKGROUND With ongoing climate change, drought events are severely limiting barley production worldwide and pose a significant risk to the malting, brewing and food industry. The genetic diversity inherent in the barley germplasm offers an important resource to develop stress resiliency. The purpose of this study was to identify novel, stable, and adaptive Quantitative Trait Loci (QTL), and candidate genes associated with drought tolerance. A recombinant inbred line (RIL) population (n = 192) developed from a cross between the drought tolerant 'Otis' barley variety, and susceptible 'Golden Promise'(GP) was subjected to short-term progressive drought during heading in the biotron. This population was also evaluated under irrigated and rainfed conditions in the field for yields and seed protein content. RESULTS Barley 50k iSelect SNP Array was used to genotype the RIL population to elucidate drought-adaptive QTL. Twenty-three QTL (eleven for seed weight, eight for shoot dry weight and four for protein content) were identified across several barley chromosomes. QTL analysis identified genomic regions on chromosome 2 and 5 H that appear to be stable across both environments and accounted for nearly 60% variation in shoot weight and 17.6% variation in seed protein content. QTL at approximately 29 Mbp on chromosome 2 H and 488 Mbp on chromosome 5 H are in very close proximity to ascorbate peroxidase (APX) and in the coding sequence of the Dirigent (DIR) gene, respectively. Both APX and DIR are well-known key players in abiotic stress tolerance in several plants. In the quest to identify key recombinants with improved tolerance to drought (like Otis) and good malting profiles (like GP), five drought tolerant RILs were selected for malt quality analysis. The selected drought tolerant RILs exhibited one or more traits that were outside the realms of the suggested limits for acceptable commercial malting quality. CONCLUSIONS The candidate genes can be used for marker assisted selection and/or genetic manipulation to develop barley cultivars with improved tolerance to drought. RILs with genetic network reshuffling necessary to generate drought tolerance of Otis and favorable malting quality attributes of GP may be realized by screening a larger population.
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Affiliation(s)
- Oyeyemi O Ajayi
- Cereal Crops Research Unit, USDA-ARS, 502 Walnut Street, Madison, WI, 53762, USA
| | - Phil Bregitzer
- Small Grains and Potato Germplasm Research, USDA-ARS, Aberdeen, ID, USA
| | - Kathy Klos
- Small Grains and Potato Germplasm Research, USDA-ARS, Aberdeen, ID, USA
| | - Gongshe Hu
- Small Grains and Potato Germplasm Research, USDA-ARS, Aberdeen, ID, USA
| | - Jason G Walling
- Cereal Crops Research Unit, USDA-ARS, 502 Walnut Street, Madison, WI, 53762, USA
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Makhumbila P, Rauwane ME, Muedi HH, Madala NE, Figlan S. Metabolome profile variations in common bean (Phaseolus vulgaris L.) resistant and susceptible genotypes incited by rust (Uromyces appendiculatus). Front Genet 2023; 14:1141201. [PMID: 37007949 PMCID: PMC10060544 DOI: 10.3389/fgene.2023.1141201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 02/10/2023] [Indexed: 03/18/2023] Open
Abstract
The causal agent of rust, Uromyces appendiculatus is a major constraint for common bean (Phaseolus vulgaris) production. This pathogen causes substantial yield losses in many common bean production areas worldwide. U. appendiculatus is widely distributed and although there have been numerous breakthroughs in breeding for resistance, its ability to mutate and evolve still poses a major threat to common bean production. An understanding of plant phytochemical properties can aid in accelerating breeding for rust resistance. In this study, metabolome profiles of two common bean genotypes Teebus-RR-1 (resistant) and Golden Gate Wax (susceptible) were investigated for their response to U. appendiculatus races (1 and 3) at 14- and 21-days post-infection (dpi) using liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (LC-qTOF-MS). Non-targeted data analysis revealed 71 known metabolites that were putatively annotated, and a total of 33 were statistically significant. Key metabolites including flavonoids, terpenoids, alkaloids and lipids were found to be incited by rust infections in both genotypes. Resistant genotype as compared to the susceptible genotype differentially enriched metabolites including aconifine, D-sucrose, galangin, rutarin and others as a defence mechanism against the rust pathogen. The results suggest that timely response to pathogen attack by signalling the production of specific metabolites can be used as a strategy to understand plant defence. This is the first study to illustrate the utilization of metabolomics to understand the interaction of common bean with rust.
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Affiliation(s)
- Penny Makhumbila
- Department of Agriculture and Animal Health, School of Agriculture and Life Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Roodeport, South Africa
- *Correspondence: Penny Makhumbila,
| | - Molemi E. Rauwane
- Department of Agriculture and Animal Health, School of Agriculture and Life Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Roodeport, South Africa
- Department of Botany, Nelson Mandela University, Port Elizabeth, South Africa
| | - Hangwani H. Muedi
- Research Support Services, North-West Provincial Department of Agriculture and Rural Development, Potchefstroom, South Africa
| | - Ntakadzeni E. Madala
- Department of Biochemistry, School of Mathematical and Natural Sciences, University of Venda, Thohoyandou, South Africa
| | - Sandiswa Figlan
- Department of Agriculture and Animal Health, School of Agriculture and Life Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Roodeport, South Africa
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Marker assisted backcross to introgress late leaf spot and rust resistance in groundnut (Arachis hypogaea L.). Mol Biol Rep 2023; 50:2411-2419. [PMID: 36586081 DOI: 10.1007/s11033-022-08234-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 12/22/2022] [Indexed: 01/01/2023]
Abstract
BACKGROUND Groundnut is affected by a variety of abiotic and biotic stressors, including late leaf spot and rust, which cause significant economic loss. In this study, QTL for resistance to late leaf spot and rust from donor variety GPBD 4 were incorporated into a popular groundnut variety (ICGV 00350) through marker assisted backcross (MABC) breeding. METHODS Eight foreground SSR markers [AhXII (GM1009, GM1573 and Seq8D09) and AhXV (GM1536, GM2009, GM2079, GM2301 and IPAHM103)] linked with disease resistant QTLs were utilized in this study. A set of 217 SSR markers spanning the whole groundnut genome were employed for background analysis. Three backcrosses with recurrent parent and selfing were followed in the cross ICGV 00350 × GPBD 4. Background analysis was carried out in BC3F2; while, phenotypic confirmation for resistance was carried out in BC3F3 generation. CONCLUSION Five advanced backcross lines in BC3F2 were found, with more than 90% recurrent parent genome. The phenotyping of the eight ILs recorded disease scores ranging from 2.0 to 3.0 for LLS and from 1.0 to 3.0 for rust disease scores. All these lines had superior characteristics compared to the recurrent parent ICGV 00350 in terms of late leaf spot and rust resistance. The enhanced ILs will be evaluated further for commercial release.
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Zhang C, Xie W, Fu H, Chen Y, Chen H, Cai T, Yang Q, Zhuang Y, Zhong X, Chen K, Gao M, Liu F, Wan Y, Pandey MK, Varshney RK, Zhuang W. Whole genome resequencing identifies candidate genes and allelic diagnostic markers for resistance to Ralstonia solanacearum infection in cultivated peanut ( Arachis hypogaea L.). FRONTIERS IN PLANT SCIENCE 2023; 13:1048168. [PMID: 36684803 PMCID: PMC9845939 DOI: 10.3389/fpls.2022.1048168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 11/22/2022] [Indexed: 06/17/2023]
Abstract
Bacterial wilt disease (BWD), caused by Ralstonia solanacearum is a major challenge for peanut production in China and significantly affects global peanut field productivity. It is imperative to identify genetic loci and putative genes controlling resistance to R. solanacearum (RRS). Therefore, a sequencing-based trait mapping approach termed "QTL-seq" was applied to a recombination inbred line population of 581 individuals from the cross of Yueyou 92 (resistant) and Xinhuixiaoli (susceptible). A total of 381,642 homozygous single nucleotide polymorphisms (SNPs) and 98,918 InDels were identified through whole genome resequencing of resistant and susceptible parents for RRS. Using QTL-seq analysis, a candidate genomic region comprising of 7.2 Mb (1.8-9.0 Mb) was identified on chromosome 12 which was found to be significantly associated with RRS based on combined Euclidean Distance (ED) and SNP-index methods. This candidate genomic region had 180 nonsynonymous SNPs and 14 InDels that affected 75 and 11 putative candidate genes, respectively. Finally, eight nucleotide binding site leucine rich repeat (NBS-LRR) putative resistant genes were identified as the important candidate genes with high confidence. Two diagnostic SNP markers were validated and revealed high phenotypic variation in the different resistant and susceptible RIL lines. These findings advocate the expediency of the QTL-seq approach for precise and rapid identification of candidate genomic regions, and the development of diagnostic markers that are applicable in breeding disease-resistant peanut varieties.
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Affiliation(s)
- Chong Zhang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai’an, China
| | - Wenping Xie
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Huiwen Fu
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yuting Chen
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Hua Chen
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Tiecheng Cai
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Qiang Yang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yuhui Zhuang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xin Zhong
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Kun Chen
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Meijia Gao
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Fengzhen Liu
- State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai’an, China
| | - Yongshan Wan
- State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai’an, China
| | - Manish K. Pandey
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rajeev K. Varshney
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- Murdoch’s Centre for Crop and Food Innovation, State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Weijian Zhuang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
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9
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Sithole TR, Ma YX, Qin Z, Liu HM, Wang XD. Influence of Peanut Varieties on the Sensory Quality of Peanut Butter. Foods 2022; 11:3499. [PMID: 36360111 PMCID: PMC9656606 DOI: 10.3390/foods11213499] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/07/2022] [Accepted: 10/11/2022] [Indexed: 10/20/2023] Open
Abstract
Over the years, concentrated efforts have been directed toward the improvement of desirable characteristics and attributes in peanut cultivars. Most of these breed improvement programs have been targeting attributes that involve peanut growth, productivity, drought and disease tolerance, and oil quality and content, with only a few articles focusing directly on improvements in peanut butter organoleptic qualities. There are numerous peanut cultivars on the market today, with widely differing chemical compositions and metabolite profiles, about which little is known concerning their suitability for making peanut butter. In this review, we detail how the numerous peanut varieties on the market today, with their genetically conferred physiochemical attributes, can significantly affect the sensory quality attributes of peanut butter, even in peanut butter processing lines with optimized processes. If other peanut butter processing parameters are held constant, variations in the chemical composition and metabolite profiles of peanuts have a significant impact on peanut butter color, flavor, texture, storage stability, shelf life, and overall product acceptance by consumers. Further research on breeding programs for peanut varieties that are specifically tailored for peanut butter production, and even more comprehensive research on the synergetic relationship between peanut chemical composition and peanut butter organoleptic quality, are still required.
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Affiliation(s)
| | | | | | | | - Xue-De Wang
- College of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
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10
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Biswas S, Wahl NJ, Thomson MJ, Cason JM, McCutchen BF, Septiningsih EM. Optimization of Protoplast Isolation and Transformation for a Pilot Study of Genome Editing in Peanut by Targeting the Allergen Gene Ara h 2. Int J Mol Sci 2022; 23:837. [PMID: 35055026 PMCID: PMC8775966 DOI: 10.3390/ijms23020837] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 01/09/2022] [Accepted: 01/10/2022] [Indexed: 12/22/2022] Open
Abstract
The cultivated peanut (Arachis hypogaea L.) is a legume consumed worldwide in the form of oil, nuts, peanut butter, and candy. Improving peanut production and nutrition will require new technologies to enable novel trait development. Clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9 (CRISPR-Cas9) is a powerful and versatile genome-editing tool for introducing genetic changes for studying gene expression and improving crops, including peanuts. An efficient in vivo transient CRISPR-Cas9- editing system using protoplasts as a testbed could be a versatile platform to optimize this technology. In this study, multiplex CRISPR-Cas9 genome editing was performed in peanut protoplasts to disrupt a major allergen gene with the help of an endogenous tRNA-processing system. In this process, we successfully optimized protoplast isolation and transformation with green fluorescent protein (GFP) plasmid, designed two sgRNAs for an allergen gene, Ara h 2, and tested their efficiency by in vitro digestion with Cas9. Finally, through deep-sequencing analysis, several edits were identified in our target gene after PEG-mediated transformation in protoplasts with a Cas9 and sgRNA-containing vector. These findings demonstrated that a polyethylene glycol (PEG)-mediated protoplast transformation system can serve as a rapid and effective tool for transient expression assays and sgRNA validation in peanut.
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Affiliation(s)
- Sudip Biswas
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA; (S.B.); (N.J.W.); (M.J.T.)
| | - Nancy J. Wahl
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA; (S.B.); (N.J.W.); (M.J.T.)
| | - Michael J. Thomson
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA; (S.B.); (N.J.W.); (M.J.T.)
| | - John M. Cason
- Texas A&M AgriLife Research and Extension Center at Stephenville, Stephenville, TX 76401, USA; (J.M.C.); (B.F.M.)
| | - Bill F. McCutchen
- Texas A&M AgriLife Research and Extension Center at Stephenville, Stephenville, TX 76401, USA; (J.M.C.); (B.F.M.)
| | - Endang M. Septiningsih
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA; (S.B.); (N.J.W.); (M.J.T.)
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11
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Abady S, Shimelis H, Janila P, Yaduru S, Shayanowako AIT, Deshmukh D, Chaudhari S, Manohar SS. Assessment of the genetic diversity and population structure of groundnut germplasm collections using phenotypic traits and SNP markers: Implications for drought tolerance breeding. PLoS One 2021; 16:e0259883. [PMID: 34788339 PMCID: PMC8598071 DOI: 10.1371/journal.pone.0259883] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 10/28/2021] [Indexed: 01/15/2023] Open
Abstract
Profiling the genetic composition and relationships among groundnut germplasm collections is essential for the breeding of new cultivars. The objectives of this study were to assess the genetic diversity and population structure among 100 improved groundnut genotypes using agronomic traits and high-density single nucleotide polymorphism (SNP) markers. The genotypes were evaluated for agronomic traits and drought tolerance at the International Crop Research Institute for the Semi-Arid Tropics (ICRISAT)/India across two seasons. Ninety-nine of the test genotypes were profiled with 16363 SNP markers. Pod yield per plant (PY), seed yield per plant (SY), and harvest index (HI) were significantly (p < 0.05) affected by genotype × environment interaction effects. Genotypes ICGV 07222, ICGV 06040, ICGV 01260, ICGV 15083, ICGV 10143, ICGV 03042, ICGV 06039, ICGV 14001, ICGV 11380, and ICGV 13200 ranked top in terms of pod yield under both drought-stressed and optimum conditions. PY exhibited a significant (p ≤ 0.05) correlation with SY, HI, and total biomass (TBM) under both test conditions. Based on the principal component (PC) analysis, PY, SY, HSW, shelling percentage (SHP), and HI were allocated in PC 1 and contributed to the maximum variability for yield under the two water regimes. Hence, selecting these traits could be successful for screening groundnut genotypes under drought-stressed and optimum conditions. The model-based population structure analysis grouped the studied genotypes into three sub-populations. Dendrogram for phenotypic and genotypic also grouped the studied 99 genotypes into three heterogeneous clusters. Analysis of molecular variance revealed that 98% of the total genetic variation was attributed to individuals, while only 2% of the total variance was due to variation among the subspecies. The genetic distance between the Spanish bunch and Virginia bunch types ranged from 0.11 to 0.52. The genotypes ICGV 13189, ICGV 95111, ICGV 14421, and ICGV 171007 were selected for further breeding based on their wide genetic divergence. Data presented in this study will guide groundnut cultivar development emphasizing economic traits and adaptation to water-limited agro-ecologies, including in Ethiopia.
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Affiliation(s)
- Seltene Abady
- African Centre for Crop Improvement (ACCI), School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Scottsville, South Africa
- School of Plant Sciences, Haramaya University, Dire Dawa, Ethiopia
| | - Hussein Shimelis
- African Centre for Crop Improvement (ACCI), School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Scottsville, South Africa
| | - Pasupuleti Janila
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Telangana, India
| | - Shasidhar Yaduru
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Telangana, India
| | - Admire I. T. Shayanowako
- African Centre for Crop Improvement (ACCI), School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Scottsville, South Africa
| | - Dnyaneshwar Deshmukh
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Telangana, India
| | - Sunil Chaudhari
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Telangana, India
| | - Surendra S. Manohar
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Telangana, India
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12
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Paliwal R, Adegboyega TT, Abberton M, Faloye B, Oyatomi O. Potential of genomics for the improvement of underutilized legumes in sub‐Saharan Africa. LEGUME SCIENCE 2021; 3. [PMID: 0 DOI: 10.1002/leg3.69] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Affiliation(s)
- Rajneesh Paliwal
- Genetic Resources Center International Institute of Tropical Agriculture Ibadan Nigeria
| | | | - Michael Abberton
- Genetic Resources Center International Institute of Tropical Agriculture Ibadan Nigeria
| | - Ben Faloye
- Genetic Resources Center International Institute of Tropical Agriculture Ibadan Nigeria
| | - Olaniyi Oyatomi
- Genetic Resources Center International Institute of Tropical Agriculture Ibadan Nigeria
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13
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Nabi RBS, Cho KS, Tayade R, Oh KW, Lee MH, Kim JI, Kim S, Pae SB, Oh E. Genetic diversity analysis of Korean peanut germplasm using 48 K SNPs 'Axiom_Arachis' Array and its application for cultivar differentiation. Sci Rep 2021; 11:16630. [PMID: 34404839 PMCID: PMC8371136 DOI: 10.1038/s41598-021-96074-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 08/04/2021] [Indexed: 02/07/2023] Open
Abstract
Cultivated peanut (Arachis hypogaea) is one of the important legume oilseed crops. Cultivated peanut has a narrow genetic base. Therefore, it is necessary to widen its genetic base and diversity for additional use. The objective of the present study was to assess the genetic diversity and population structure of 96 peanut genotypes with 9478 high-resolution SNPs identified from a 48 K 'Axiom_Arachis' SNP array. Korean set genotypes were also compared with a mini-core of US genotypes. These sets of genotypes were used for genetic diversity analysis. Model-based structure analysis at K = 2 indicated the presence of two subpopulations in both sets of genotypes. Phylogenetic and PCA analysis clustered these genotypes into two major groups. However, clear genotype distribution was not observed for categories of subspecies, botanical variety, or origin. The analysis also revealed that current Korean genetic resources lacked variability compared to US mini-core genotypes. These results suggest that Korean genetic resources need to be expanded by creating new allele combinations and widening the genetic pool to offer new genetic variations for Korean peanut improvement programs. High-quality SNP data generated in this study could be used for identifying varietal contaminant, QTL, and genes associated with desirable traits by performing mapping, genome-wide association studies.
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Affiliation(s)
- Rizwana Begum Syed Nabi
- grid.420186.90000 0004 0636 2782Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, 50424 Republic of Korea
| | - Kwang-Soo Cho
- grid.420186.90000 0004 0636 2782Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, 50424 Republic of Korea
| | - Rupesh Tayade
- grid.258803.40000 0001 0661 1556Laboratory of Plant Breeding, School of Applied Biosciences, Kyungpook National University, Daegu, 41566 Republic of Korea
| | - Ki Won Oh
- grid.420186.90000 0004 0636 2782Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, 50424 Republic of Korea
| | - Myoung Hee Lee
- grid.420186.90000 0004 0636 2782Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, 50424 Republic of Korea
| | - Jung In Kim
- grid.420186.90000 0004 0636 2782Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, 50424 Republic of Korea
| | - Sungup Kim
- grid.420186.90000 0004 0636 2782Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, 50424 Republic of Korea
| | - Suk-Bok Pae
- grid.420186.90000 0004 0636 2782Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, 50424 Republic of Korea
| | - Eunyoung Oh
- grid.420186.90000 0004 0636 2782Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, 50424 Republic of Korea
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14
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Jayaprakash A, Roy A, Thanmalagan RR, Arunachalam A, Ptv L. Immune response gene coexpression network analysis of Arachis hypogaea infected with Aspergillus flavus. Genomics 2021; 113:2977-2988. [PMID: 34153499 DOI: 10.1016/j.ygeno.2021.06.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 02/07/2021] [Accepted: 06/16/2021] [Indexed: 01/21/2023]
Abstract
Aspergillus flavus (A. flavus) infection and aflatoxin contamination is a major bottleneck for peanut cultivation and value chain industry. In this study, a transcriptomic network study was conducted by retrieving publically available RNA-seq datasets of resistant and susceptible peanut varieties infected by A. flavus separately to understand the peanut defense mechanism against A. flavus. The gene expression analysis revealed differentially expressed genes (DEGs) in response to the different levels of infection and coexpression network of DEGs deciphered hub genes involved in the immune process in resistant and susceptible varieties. The interplay of resistance conferring genes and cell wall related genes was observed through functional enrichment analysis in response to pathogen infection and identified few key genes such as Protein P21, R genes, Pattern Recognition Receptor genes, Pectinesterases, Laccase and Thaumatin-like protein 1b as candidate genes in imparting immune response against A. flavus.
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Affiliation(s)
- Aiswarya Jayaprakash
- Centre for Bioinformatics, School of Life Sciences, Pondicherry University, R. V. Nagar Kalapet, Pondicherry 605014, India
| | - Abhijeet Roy
- Centre for Bioinformatics, School of Life Sciences, Pondicherry University, R. V. Nagar Kalapet, Pondicherry 605014, India
| | - Raja Rajeswary Thanmalagan
- Centre for Bioinformatics, School of Life Sciences, Pondicherry University, R. V. Nagar Kalapet, Pondicherry 605014, India
| | - Annamalai Arunachalam
- Postgraduate and Research Department of Botany, Arignar Anna Government Arts College, Villupuram, Tamil Nadu 605602, India
| | - Lakshmi Ptv
- Centre for Bioinformatics, School of Life Sciences, Pondicherry University, R. V. Nagar Kalapet, Pondicherry 605014, India.
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15
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Banla EM, Dzidzienyo DK, Diangar MM, Melomey LD, Offei SK, Tongoona P, Desmae H. Molecular and phenotypic diversity of groundnut ( Arachis hypogaea L.) cultivars in Togo. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2020; 26:1489-1504. [PMID: 32647463 PMCID: PMC7326882 DOI: 10.1007/s12298-020-00837-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 04/22/2020] [Accepted: 06/07/2020] [Indexed: 06/11/2023]
Abstract
Diversity assessment of 94 groundnut accessions from Togo and Senegal, using agro-morphological and SNP markers, revealed high variability for many quantitative traits such as late leaf spot (LLS) incidence, number of pods per plant and yield per plant. For qualitative traits, the Simpson Index showed high diversity for primary seed colour (0.75), stem pigmentation (0.60), and Growth habit (0.59). Principal component analysis underscored quantitative traits such as hundred seed weight, days to maturity, and LLS incidence, as the main traits contributing to the divergence. Correlation and path coefficient analysis showed that the number of pods per plant was the main yield-related trait positively affecting yield (r = 0.95, PC = 0.84; p = 0.01). Overall, 990 SNP markers revealed moderate genetic variability in the genotypes and the percentage of heterozygous genotypes varied from 0 to 50% for all loci. Analysis of molecular variance revealed that only 1.1% of the total molecular variance accounted for geographical contribution to the diversity. Co-analysis of phenotypic and SNP data delineated three clusters harbouring useful alleles and interesting phenotypic features such as LLS resistance, large number of pods per plant and early maturity indicating that differences observed at the phenotypic level are underlined by genotypic differences. The phenotypic and genotypic diversity observed could be exploited for the identification of parents with preferred traits for use in the breeding program. However, the low population structure highlights the necessity to improve groundnut diversity in Togo through introduction from various sources.
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Affiliation(s)
- Essohouna Modom Banla
- Institut Togolais de Recherche Agronomique (ITRA), Lomé, Togo
- West Africa Centre for Crop Improvement (WACCI), University of Ghana (UG), PMB 30, Legon, Accra, Ghana
- International Crops Research Institute for the Semi-Arid Tropic (ICRISAT-WCA), BP320, Bamako, Mali
| | - Daniel Kwadjo Dzidzienyo
- West Africa Centre for Crop Improvement (WACCI), University of Ghana (UG), PMB 30, Legon, Accra, Ghana
| | - Mouhamadou Moussa Diangar
- Institut Sénégalais de Recherches Agricoles (ISRA), ISRA CNRA de Bambey, ISRA/Center of Excellence of CERAAS), BP53, Diourbel, Senegal
| | - Leander Dede Melomey
- West Africa Centre for Crop Improvement (WACCI), University of Ghana (UG), PMB 30, Legon, Accra, Ghana
| | - Samuel Kwame Offei
- West Africa Centre for Crop Improvement (WACCI), University of Ghana (UG), PMB 30, Legon, Accra, Ghana
| | - Pangirayi Tongoona
- West Africa Centre for Crop Improvement (WACCI), University of Ghana (UG), PMB 30, Legon, Accra, Ghana
| | - Haile Desmae
- International Crops Research Institute for the Semi-Arid Tropic (ICRISAT-WCA), BP320, Bamako, Mali
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16
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Liu N, Huang L, Chen W, Wu B, Pandey MK, Luo H, Zhou X, Guo J, Chen H, Huai D, Chen Y, Lei Y, Liao B, Ren X, Varshney RK, Jiang H. Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping. BMC Genet 2020; 21:60. [PMID: 32513099 PMCID: PMC7282078 DOI: 10.1186/s12863-020-00863-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Accepted: 05/26/2020] [Indexed: 11/17/2022] Open
Abstract
Background Peanut is one of the primary sources for vegetable oil worldwide, and enhancing oil content is the main objective in several peanut breeding programs of the world. Tightly linked markers are required for faster development of high oil content peanut varieties through genomics-assisted breeding (GAB), and association mapping is one of the promising approaches for discovery of such associated markers. Results An association mapping panel consisting of 292 peanut varieties extensively distributed in China was phenotyped for oil content and genotyped with 583 polymorphic SSR markers. These markers amplified 3663 alleles with an average of 6.28 alleles per locus. The structure, phylogenetic relationship, and principal component analysis (PCA) indicated two subgroups majorly differentiating based on geographic regions. Genome-wide association analysis identified 12 associated markers including one (AGGS1014_2) highly stable association controlling up to 9.94% phenotypic variance explained (PVE) across multiple environments. Interestingly, the frequency of the favorable alleles for 12 associated markers showed a geographic difference. Two associated markers (AGGS1014_2 and AHGS0798) with 6.90–9.94% PVE were verified to enhance oil content in an independent RIL population and also indicated selection during the breeding program. Conclusion This study provided insights into the genetic basis of oil content in peanut and verified highly associated two SSR markers to facilitate marker-assisted selection for developing high-oil content breeding peanut varieties.
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Affiliation(s)
- Nian Liu
- 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, People's Republic of China
| | - Li Huang
- 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, People's Republic of China
| | - Weigang Chen
- 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, People's Republic of China
| | - Bei Wu
- 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, People's Republic of China
| | - Manish K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), 502324, Hyderabad, India
| | - Huaiyong Luo
- 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, People's Republic of China
| | - Xiaojing Zhou
- 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, People's Republic of China
| | - Jianbin Guo
- 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, People's Republic of China
| | - Haiwen Chen
- 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, People's Republic of China
| | - Dongxin Huai
- 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, People's Republic of China
| | - Yuning Chen
- 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, People's Republic of China
| | - Yong Lei
- 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, People's Republic of China
| | - Boshou Liao
- 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, People's Republic of China
| | - Xiaoping Ren
- 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, People's Republic of China
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), 502324, Hyderabad, India
| | - Huifang Jiang
- 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, People's Republic of China.
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17
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Ahmar S, Gill RA, Jung KH, Faheem A, Qasim MU, Mubeen M, Zhou W. Conventional and Molecular Techniques from Simple Breeding to Speed Breeding in Crop Plants: Recent Advances and Future Outlook. Int J Mol Sci 2020; 21:E2590. [PMID: 32276445 PMCID: PMC7177917 DOI: 10.3390/ijms21072590] [Citation(s) in RCA: 132] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 04/03/2020] [Accepted: 04/05/2020] [Indexed: 01/28/2023] Open
Abstract
In most crop breeding programs, the rate of yield increment is insufficient to cope with the increased food demand caused by a rapidly expanding global population. In plant breeding, the development of improved crop varieties is limited by the very long crop duration. Given the many phases of crossing, selection, and testing involved in the production of new plant varieties, it can take one or two decades to create a new cultivar. One possible way of alleviating food scarcity problems and increasing food security is to develop improved plant varieties rapidly. Traditional farming methods practiced since quite some time have decreased the genetic variability of crops. To improve agronomic traits associated with yield, quality, and resistance to biotic and abiotic stresses in crop plants, several conventional and molecular approaches have been used, including genetic selection, mutagenic breeding, somaclonal variations, whole-genome sequence-based approaches, physical maps, and functional genomic tools. However, recent advances in genome editing technology using programmable nucleases, clustered regularly interspaced short palindromic repeats (CRISPR), and CRISPR-associated (Cas) proteins have opened the door to a new plant breeding era. Therefore, to increase the efficiency of crop breeding, plant breeders and researchers around the world are using novel strategies such as speed breeding, genome editing tools, and high-throughput phenotyping. In this review, we summarize recent findings on several aspects of crop breeding to describe the evolution of plant breeding practices, from traditional to modern speed breeding combined with genome editing tools, which aim to produce crop generations with desired traits annually.
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Affiliation(s)
- Sunny Ahmar
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China; (S.A.); (M.U.Q.)
| | - Rafaqat Ali Gill
- Oil Crops Research Institute, Chinese Academy of Agriculture Sciences, Wuhan 430070, China;
| | - Ki-Hong Jung
- Graduate School of Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin 17104, Korea
| | - Aroosha Faheem
- State Key Laboratory of Agricultural Microbiology and State Key Laboratory of Microbial Biosensor, College of Life Sciences Huazhong Agriculture University, Wuhan 430070, China
| | - Muhammad Uzair Qasim
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China; (S.A.); (M.U.Q.)
| | - Mustansar Mubeen
- State Key Laboratory of Agricultural Microbiology and Provincial Key Laboratory of Plant Pathology of Hubei Province, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Weijun Zhou
- Institute of Crop Science and Zhejiang Key Laboratory of Crop Germplasm, Zhejiang University, Hangzhou 310058, China
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18
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Luo H, Pandey MK, Zhi Y, Zhang H, Xu S, Guo J, Wu B, Chen H, Ren X, Zhou X, Chen Y, Chen W, Huang L, Liu N, Sudini HK, Varshney RK, Lei Y, Liao B, Jiang H. Discovery of two novel and adjacent QTLs on chromosome B02 controlling resistance against bacterial wilt in peanut variety Zhonghua 6. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1133-1148. [PMID: 31980836 PMCID: PMC7064456 DOI: 10.1007/s00122-020-03537-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 01/03/2020] [Indexed: 05/09/2023]
Abstract
Two novel and adjacent genomics and candidate genes for bacterial wilt resistance were identified on chromosome B02 in peanut variety Zhonghua 6 using both traditional QTL mapping and QTL-seq methods. Peanut (Arachis hypogaea) is an important oilseed crop worldwide. Utilization of genetic resistance is the most economic and effective approach to control bacterial wilt, one of the most devastating plant diseases, in peanut production. To accelerate the genetic improvement of bacterial wilt resistance (BWR) in peanut breeding programs, quantitative trait locus (QTL) mapping has been conducted for two resistant varieties. In this context, we deployed linkage mapping as well as sequencing-based mapping approach, QTL-seq, to identify genomic regions and candidate genes for BWR in another highly resistant variety Zhonghua 6. The recombination inbred line population (268 progenies) from the cross Xuhua 13 × Zhonghua 6 was used in BWR evaluation across five environments. QTL mapping using both SSR- and SNP-based genetic maps identified a stable QTL (qBWRB02-1) on chromosome B02 with 37.79-78.86% phenotypic variation explained (PVE) across five environments. The QTL-seq facilitated further dissection of qBWRB02-1 into two adjacent genomic regions, qBWRB02-1-1 (2.81-4.24 Mb) and qBWRB02-1-2 (6.54-8.75 Mb). Mapping of newly developed Kompetitive allele-specific PCR (KASP) markers on the genetic map confirmed their stable expressions across five environments. The effects of qBWRB02-1-1 (49.43-68.86% PVE) were much higher than qBWRB02-1-2 (3.96-6.48% PVE) and other previously reported QTLs. Nineteen putative candidate genes affected by 49 non-synonymous SNPs were identified for qBWRB02-1-1, and ten of them were predicted to code for disease resistance proteins. The major and stable QTL qBWRB02-1-1 and validated KASP markers could be deployed in genomics-assisted breeding (GAB) to develop improved peanut varieties with enhanced BWR.
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Affiliation(s)
- Huaiyong Luo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Manish K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Ye Zhi
- Angel Yeast Co., Ltd, Yichang, 443003, Hubei, China
| | - Huan Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Siliang Xu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Jianbin Guo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Bei Wu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Haiwen Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Xiaoping Ren
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Xiaojing Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Weigang Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Li Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Nian Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Hari K Sudini
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
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19
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Liu N, Guo J, Zhou X, Wu B, Huang L, Luo H, Chen Y, Chen W, Lei Y, Huang Y, Liao B, Jiang H. High-resolution mapping of a major and consensus quantitative trait locus for oil content to a ~ 0.8-Mb region on chromosome A08 in peanut (Arachis hypogaea L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:37-49. [PMID: 31559527 PMCID: PMC6952344 DOI: 10.1007/s00122-019-03438-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 09/17/2019] [Indexed: 05/24/2023]
Abstract
KEY MESSAGE: ddRAD-seq-based high-density genetic map comprising 2595 loci identified a major and consensus QTL with a linked marker in a 0.8-Mb physical interval for oil content in peanut. Enhancing oil content is an important breeding objective in peanut. High-resolution mapping of quantitative trait loci (QTLs) with linked markers could facilitate marker-assisted selection in breeding for target traits. In the present study, a recombined inbred line population (Xuhua 13 × Zhonghua 6) was used to construct a genetic map based on double-digest restriction-site-associated DNA sequencing (ddRAD-seq). The resulting high-density genetic map contained 2595 loci, and spanned a length of 2465.62 cM, with an average distance of 0.95 cM/locus. Seven QTLs for oil content were identified on five linkage groups, including the major and stable QTL qOCA08.1 on chromosome A08 with 10.14-27.19% phenotypic variation explained. The physical interval of qOCA08.1 was further delimited to a ~ 0.8-Mb genomic region where two genes affecting oil synthesis had been annotated. The marker SNPOCA08 was developed targeting the SNP loci associated with oil content and validated in peanut cultivars with diverse oil contents. The major and stable QTL identified in the present study could be further dissected for gene discovery. Furthermore, the tightly linked marker for oil content would be useful in marker-assisted breeding in peanut.
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Affiliation(s)
- Nian Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Jianbin Guo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Xiaojing Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Bei Wu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Li Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Huaiyong Luo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Weigang Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Yi Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China.
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20
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Hendre PS, Muthemba S, Kariba R, Muchugi A, Fu Y, Chang Y, Song B, Liu H, Liu M, Liao X, Sahu SK, Wang S, Li L, Lu H, Peng S, Cheng S, Xu X, Yang H, Wang J, Liu X, Simons A, Shapiro HY, Mumm RH, Van Deynze A, Jamnadass R. African Orphan Crops Consortium (AOCC): status of developing genomic resources for African orphan crops. PLANTA 2019; 250:989-1003. [PMID: 31073657 DOI: 10.1007/s00425-019-03156-9] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 04/01/2019] [Indexed: 05/28/2023]
Abstract
The African Orphan Crops Consortium (AOCC) successfully initiated the ambitious genome sequencing project of 101 African orphan crops/trees with 6 genomes sequenced, 6 near completion, and 20 currently in progress. Addressing stunting, malnutrition, and hidden hunger through nutritious, economic, and resilient agri-food system is one of the major agricultural challenges of this century. As sub-Saharan Africa harbors a large portion of the severely malnourished population, the African Orphan Crops Consortium (AOCC) was established in 2011 with an aim to reduce stunting and malnutrition by providing nutritional security through improving locally adapted nutritious, but neglected, under-researched or orphan African food crops. Foods from these indigenous or naturalized crops and trees are rich in minerals, vitamins, and antioxidant, and are an integral part of the dietary portfolio and cultural, social, and economic milieu of African farmers. Through stakeholder consultations supported by the African Union, 101 African orphan and under-researched crop species were prioritized to mainstream into African agri-food systems. The AOCC, through a network of international-regional-public-private partnerships and collaborations, is generating genomic resources of three types, i.e., reference genome sequence, transcriptome sequence, and re-sequencing 100 accessions/species, using next-generation sequencing (NGS) technology. Furthermore, the University of California Davis African Plant Breeding Academy under the AOCC banner is training 150 lead African scientists to breed high yielding, nutritious, and climate-resilient (biotic and abiotic stress tolerant) crop varieties that meet African farmer and consumer needs. To date, one or more forms of sequence data have been produced for 60 crops. Reference genome sequences for six species have already been published, 6 are almost near completion, and 19 are in progress.
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Affiliation(s)
- Prasad S Hendre
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), Nairobi, Kenya.
| | - Samuel Muthemba
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), Nairobi, Kenya
| | - Robert Kariba
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), Nairobi, Kenya
| | - Alice Muchugi
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), Nairobi, Kenya
| | - Yuan Fu
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Yue Chang
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Bo Song
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Huan Liu
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Min Liu
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Xuezhu Liao
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Sunil Kumar Sahu
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Sibo Wang
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Linzhou Li
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Haorong Lu
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Shufeng Peng
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Shifeng Cheng
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Jian Wang
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Xin Liu
- BGI-Shenzhen, Shenzhen, 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
| | - Anthony Simons
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), Nairobi, Kenya
| | - Howard-Yana Shapiro
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), Nairobi, Kenya
- University of California, 1 Shields Ave, Davis, CA, 95616, USA
| | - Rita H Mumm
- University of Illinois, Urbana, IL, 61801, USA
| | | | - Ramni Jamnadass
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), Nairobi, Kenya
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21
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Desmae H, Janila P, Okori P, Pandey MK, Motagi BN, Monyo E, Mponda O, Okello D, Sako D, Echeckwu C, Oteng‐Frimpong R, Miningou A, Ojiewo C, Varshney RK. Genetics, genomics and breeding of groundnut ( Arachis hypogaea L.). PLANT BREEDING = ZEITSCHRIFT FUR PFLANZENZUCHTUNG 2019; 138:425-444. [PMID: 31598026 PMCID: PMC6774334 DOI: 10.1111/pbr.12645] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 04/10/2018] [Accepted: 07/13/2018] [Indexed: 05/04/2023]
Abstract
Groundnut is an important food and oil crop in the semiarid tropics, contributing to household food consumption and cash income. In Asia and Africa, yields are low attributed to various production constraints. This review paper highlights advances in genetics, genomics and breeding to improve the productivity of groundnut. Genetic studies concerning inheritance, genetic variability and heritability, combining ability and trait correlations have provided a better understanding of the crop's genetics to develop appropriate breeding strategies for target traits. Several improved lines and sources of variability have been identified or developed for various economically important traits through conventional breeding. Significant advances have also been made in groundnut genomics including genome sequencing, marker development and genetic and trait mapping. These advances have led to a better understanding of the groundnut genome, discovery of genes/variants for traits of interest and integration of marker-assisted breeding for selected traits. The integration of genomic tools into the breeding process accompanied with increased precision of yield trialing and phenotyping will increase the efficiency and enhance the genetic gain for release of improved groundnut varieties.
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Affiliation(s)
- Haile Desmae
- International Crop Research Institute for the Semi‐Arid Tropics (ICRISAT)BamakoMali
| | | | | | | | | | | | - Omari Mponda
- Division of Research and Development (DRD)Tanzania Agricultural Research Institute (TARI) ‐ NaliendeleMtwaraTanzania
| | - David Okello
- National Agricultural Research Organization (NARO)EntebbeUganda
| | | | | | | | - Amos Miningou
- Institut National d'Environnement et de Recherches Agricoles (INERA)OuagadougouBurkina Faso
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22
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Huang B, Qi F, Sun Z, Miao L, Zhang Z, Liu H, Fang Y, Dong W, Tang F, Zheng Z, Zhang X. Marker-assisted backcrossing to improve seed oleic acid content in four elite and popular peanut ( Arachis hypogaea L.) cultivars with high oil content. BREEDING SCIENCE 2019; 69:234-243. [PMID: 31481832 PMCID: PMC6711728 DOI: 10.1270/jsbbs.18107] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 01/02/2019] [Indexed: 05/08/2023]
Abstract
High oleic acid composition is an important determinant of seed quality in peanut (Arachis hypogaea) in regard to its nutritional benefits for human health and prolonged shelf-life for peanut products. To improve the oleic acid content of popular peanut cultivars in China, four peanut cultivars of different market types were hybridized with high-oleic-acid donors and backcrossed for four generations as recurrent parents using fad2 marker-assisted backcross selection. Seed quality traits in advanced generations derived by selfing were assessed using near-infrared reflectance spectroscopy for detection of oleic acid and Kompetitive allele-specific PCR (KASP) screening of fad2 mutant markers. Twenty-four high-oleic-acid lines of BC4F4 and BC4F5 populations, with morphological features and agronomic traits similar to those of the recurrent parents, were obtained within 5 years. The genetic backgrounds of BC4F5 lines were estimated using the KASP assay, which revealed the genetic background recovery rate was 79.49%-92.31%. The superior lines raised are undergoing a multi-location test for cultivar registration and release. To our knowledge, this is the first application of single nucleotide polymorphism markers based on the high-throughput and cost-effective KASP assay for detection of fad2 mutations and genetic background evaluation in a peanut breeding program.
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Affiliation(s)
- Bingyan Huang
- Key Laboratory of Oil Crops in Huanghuaihai Plains, Industrial Crops Research Institute, Henan Academy of Agricultural Sciences,
116 Huayuan Road, 450002, Zhengzhou,
China
| | - Feiyan Qi
- Key Laboratory of Oil Crops in Huanghuaihai Plains, Industrial Crops Research Institute, Henan Academy of Agricultural Sciences,
116 Huayuan Road, 450002, Zhengzhou,
China
| | - Ziqi Sun
- Henan Provincial Key Laboratory for Oil Crops Improvement,
116 Huayuan Road, 450002, Zhengzhou,
China
| | - Lijuan Miao
- Key Laboratory of Oil Crops in Huanghuaihai Plains, Industrial Crops Research Institute, Henan Academy of Agricultural Sciences,
116 Huayuan Road, 450002, Zhengzhou,
China
| | - Zhongxin Zhang
- Key Laboratory of Oil Crops in Huanghuaihai Plains, Industrial Crops Research Institute, Henan Academy of Agricultural Sciences,
116 Huayuan Road, 450002, Zhengzhou,
China
| | - Hua Liu
- Henan Provincial Key Laboratory for Oil Crops Improvement,
116 Huayuan Road, 450002, Zhengzhou,
China
| | - Yuanjin Fang
- Key Laboratory of Oil Crops in Huanghuaihai Plains, Industrial Crops Research Institute, Henan Academy of Agricultural Sciences,
116 Huayuan Road, 450002, Zhengzhou,
China
| | - Wenzhao Dong
- Key Laboratory of Oil Crops in Huanghuaihai Plains, Industrial Crops Research Institute, Henan Academy of Agricultural Sciences,
116 Huayuan Road, 450002, Zhengzhou,
China
| | - Fengshou Tang
- Key Laboratory of Oil Crops in Huanghuaihai Plains, Industrial Crops Research Institute, Henan Academy of Agricultural Sciences,
116 Huayuan Road, 450002, Zhengzhou,
China
| | - Zheng Zheng
- Key Laboratory of Oil Crops in Huanghuaihai Plains, Industrial Crops Research Institute, Henan Academy of Agricultural Sciences,
116 Huayuan Road, 450002, Zhengzhou,
China
| | - Xinyou Zhang
- Key Laboratory of Oil Crops in Huanghuaihai Plains, Industrial Crops Research Institute, Henan Academy of Agricultural Sciences,
116 Huayuan Road, 450002, Zhengzhou,
China
- Corresponding author (e-mail: )
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23
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Wang L, Zhou X, Ren X, Huang L, Luo H, Chen Y, Chen W, Liu N, Liao B, Lei Y, Yan L, Shen J, Jiang H. A Major and Stable QTL for Bacterial Wilt Resistance on Chromosome B02 Identified Using a High-Density SNP-Based Genetic Linkage Map in Cultivated Peanut Yuanza 9102 Derived Population. Front Genet 2018; 9:652. [PMID: 30619474 PMCID: PMC6305283 DOI: 10.3389/fgene.2018.00652] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 11/30/2018] [Indexed: 11/29/2022] Open
Abstract
Bacterial wilt (BW) is one of the important diseases limiting the production of peanut (Arachis hypogaea L.) worldwide. The sufficient precise information on the quantitative trait loci (QTL) for BW resistance is essential for facilitating gene mining and applying in molecular breeding. Cultivar Yuanza 9102 is BW resistant, bred from wide cross between cultivated peanut Baisha 1016 and a wild diploid peanut species A. chacoense with BW resistance. In this study, we aim to map the major QTLs related to BW-resistance in Yuanza 9102. A high density SNP-based genetic linkage map was constructed through double-digest restriction-site-associated DNA sequencing (ddRADseq) technique based on Yuanza 9102 derived recombinant inbred lines (RILs) population. The map contained 2,187 SNP markers distributed on 20 linkage groups (LGs) spanning 1566.10 cM, and showed good synteny with AA genome from A. duranensis and BB genome from A. ipaensis. Phenotypic frequencies of BW resistance among RIL population showed two-peak distribution in four environments. Four QTLs explaining 5.49 to 23.22% phenotypic variance were identified to be all located on chromosome B02. The major QTL, qBWB02.1 (12.17–23.33% phenotypic variation explained), was detected in three environments showing consistent and stable expression. Furthermore, there was positive additive effect among these major and minor QTLs. The major QTL region was mapped to a region covering 2.3 Mb of the pseudomolecule B02 of A. ipaensis which resides in 21 nucleotide-binding site -leucine-rich repeat (NBS-LRR) encoding genes. The result of the major stable QTL (qBWB02.1) not only offers good foundation for discovery of BW resistant gene but also provide opportunity for deployment of the QTL in marker-assisted breeding in peanut.
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Affiliation(s)
- Lifang Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.,College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiaojing Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Xiaoping Ren
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Li Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Huaiyong Luo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Weigang Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Nian Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Liying Yan
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Jinxiong Shen
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
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24
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Vinson CC, Mota APZ, Oliveira TN, Guimaraes LA, Leal-Bertioli SCM, Williams TCR, Nepomuceno AL, Saraiva MAP, Araujo ACG, Guimaraes PM, Brasileiro ACM. Early responses to dehydration in contrasting wild Arachis species. PLoS One 2018; 13:e0198191. [PMID: 29847587 PMCID: PMC5976199 DOI: 10.1371/journal.pone.0198191] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 05/14/2018] [Indexed: 12/04/2022] Open
Abstract
Wild peanut relatives (Arachis spp.) are genetically diverse and were selected throughout evolution to a range of environments constituting, therefore, an important source of allelic diversity for abiotic stress tolerance. In particular, A. duranensis and A. stenosperma, the parents of the reference Arachis A-genome genetic map, show contrasting transpiration behavior under limited water conditions. This study aimed to build a comprehensive gene expression profile of these two wild species under dehydration stress caused by the withdrawal of hydroponic nutrient solution. For this purpose, roots of both genotypes were collected at seven time-points during the early stages of dehydration and used to construct cDNA paired-end libraries. Physiological analyses indicated initial differences in gas exchange parameters between the drought-tolerant genotype of A. duranensis and the drought-sensitive genotype of A. stenosperma. High-quality Illumina reads were mapped against the A. duranensis reference genome and resulted in the identification of 1,235 and 799 Differentially Expressed Genes (DEGs) that responded to the stress treatment in roots of A. duranensis and A. stenosperma, respectively. Further analysis, including functional annotation and identification of biological pathways represented by these DEGs confirmed the distinct gene expression behavior of the two contrasting Arachis species genotypes under dehydration stress. Some species-exclusive and common DEGs were then selected for qRT-PCR analysis, which corroborated the in silico expression profiling. These included genes coding for regulators and effectors involved in drought tolerance responses, such as activation of osmosensing molecular cascades, control of hormone and osmolyte content, and protection of macromolecules. This dataset of transcripts induced during the dehydration process in two wild Arachis genotypes constitute new tools for the understanding of the distinct gene regulation processes in these closely related species but with contrasting drought responsiveness. In addition, our findings provide insights into the nature of drought tolerance in wild germoplasm, which might be explored as novel sources of diversity and useful wild alleles to develop climate-resilient crop varieties.
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Affiliation(s)
- Christina Cleo Vinson
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, CP, Final W5 Norte, Brasília, DF–Brazil
- Universidade de Brasília, Campus Darcy Ribeiro, Brasília, DF–Brazil
| | - Ana Paula Zotta Mota
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, CP, Final W5 Norte, Brasília, DF–Brazil
- Universidade Federal do Rio Grande do Sul, Campus do Vale, Porto Alegre, RS—Brazil
| | - Thais Nicolini Oliveira
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, CP, Final W5 Norte, Brasília, DF–Brazil
- Universidade Federal do Rio Grande do Sul, Campus do Vale, Porto Alegre, RS—Brazil
| | - Larissa Arrais Guimaraes
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, CP, Final W5 Norte, Brasília, DF–Brazil
| | | | | | | | | | - Ana Claudia Guerra Araujo
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, CP, Final W5 Norte, Brasília, DF–Brazil
| | | | - Ana C. M. Brasileiro
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, CP, Final W5 Norte, Brasília, DF–Brazil
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25
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Luo H, Guo J, Ren X, Chen W, Huang L, Zhou X, Chen Y, Liu N, Xiong F, Lei Y, Liao B, Jiang H. Chromosomes A07 and A05 associated with stable and major QTLs for pod weight and size in cultivated peanut (Arachis hypogaea L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:267-282. [PMID: 29058050 DOI: 10.1007/s00122-017-3000-7] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 10/07/2017] [Indexed: 05/22/2023]
Abstract
Co-localized intervals and candidate genes were identified for major and stable QTLs controlling pod weight and size on chromosomes A07 and A05 in an RIL population across four environments. Cultivated peanut (Arachis hypogaea L.) is an important legume crops grown in > 100 countries. Hundred-pod weight (HPW) is an important yield trait in peanut, but its underlying genetic mechanism was not well studied. In this study, a mapping population (Xuhua 13 × Zhonghua 6) with 187 recombinant inbred lines (RILs) was developed to map quantitative trait loci (QTLs) for HPW together with pod length (PL) and pod width (PW) by both unconditional and conditional QTL analyses. A genetic map covering 1756.48 cM was constructed with 817 markers. Additive effects, epistatic interactions, and genotype-by-environment interactions were analyzed using the phenotyping data generated across four environments. Twelve additive QTLs were identified on chromosomes A05, A07, and A08 by unconditional analysis, and five of them (qPLA07, qPLA05.1, qPWA07, qHPWA07.1, and qHPWA05.2) showed major and stable expressions in all environments. Conditional QTL mapping found that PL had stronger influences on HPW than PW. Notably, qHPWA07.1, qPLA07, and qPWA07 that explained 17.93-43.63% of the phenotypic variations of the three traits were co-localized in a 5 cM interval (1.48 Mb in physical map) on chromosome A07 with 147 candidate genes related to catalytic activity and metabolic process. In addition, qHPWA05.2 and qPLA05.1 were co-localized with minor QTL qPWA05.2 to a 1.3 cM genetic interval (280 kb in physical map) on chromosome A05 with 12 candidate genes. This study provides a comprehensive characterization of the genetic components controlling pod weight and size as well as candidate QTLs and genes for improving pod yield in future peanut breeding.
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Affiliation(s)
- Huaiyong Luo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Jianbin Guo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Xiaoping Ren
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Weigang Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Li Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Xiaojing Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Nian Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Fei Xiong
- Huanggang Academy of Agricultural Sciences, Huanggang, 463000, China
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
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Lv J, Liu N, Guo J, Xu Z, Li X, Li Z, Luo H, Ren X, Huang L, Zhou X, Chen Y, Chen W, Lei Y, Tu J, Jiang H, Liao B. Stable QTLs for Plant Height on Chromosome A09 Identified From Two Mapping Populations in Peanut ( Arachis hypogaea L.). FRONTIERS IN PLANT SCIENCE 2018; 9:684. [PMID: 29887872 PMCID: PMC5982159 DOI: 10.3389/fpls.2018.00684] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Accepted: 05/04/2018] [Indexed: 05/20/2023]
Abstract
The peanut (Arachis hypogaea L.) is an important grain legume extensively cultivated worldwide, supplying edible oil and protein for human consumption. As in many other crops, plant height is a crucial factor in determining peanut architecture traits and has a unique effect on resistance to lodging and efficiency of mechanized harvesting as well as yield. Currently, the genetic basis underlying plant height remains unclear in peanut, which have hampered marker-assisted selection in breeding. In this study, we conducted a quantitative trait locus (QTL) analysis for peanut plant height by using two recombinant inbred line (RIL) populations including "Yuanza 9102 × Xuzhou 68-4 (YX)" and "Xuhua 13 × Zhonghua 6 (XZ)". In the YX population, 38 QTLs including 10 major QTLs from 9 chromosomes were detected in 4 environments, and 8 consensus QTLs integrated by meta-analysis expressed stably across multiple environments. In the XZ population, 3 major QTLs and seven minor QTLs from 6 chromosomes were detected across 3 environments. Generally, most major QTLs from the two populations were located on pseudomolecule chromosome 9 of Arachis duranesis (A09), indicating there would be key genes on A09 controlling plant height. Further analysis revealed that qPHA09.1a from the XZ population and one consensus QTL, cqPHA09.d from the YX population were co-localized in a reliable 3.4 Mb physical interval on A09, which harbored 161 genes including transcription factors and enzymes related to signaling transduction and cell wall formation. The major and stable QTLs identified in this study may be useful for further gene cloning and identification of molecular markers applicable for breeding.
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Affiliation(s)
- Jianwei Lv
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
- National Key Laboratory of Crop Genetic Improvement, National Sub-Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University, Wuhan, China
- Guizhou Oil Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, China
| | - Nian Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Jianbin Guo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Zhijun Xu
- Guizhou Oil Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, China
| | - Xinping Li
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Zhendong Li
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Huaiyong Luo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Xiaoping Ren
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Li Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Xiaojing Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Weigang Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Jinxing Tu
- National Key Laboratory of Crop Genetic Improvement, National Sub-Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University, Wuhan, China
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
- *Correspondence: Boshou Liao
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Luo H, Xu Z, Li Z, Li X, Lv J, Ren X, Huang L, Zhou X, Chen Y, Yu J, Chen W, Lei Y, Liao B, Jiang H. Development of SSR markers and identification of major quantitative trait loci controlling shelling percentage in cultivated peanut (Arachis hypogaea L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2017; 130:1635-1648. [PMID: 28508097 PMCID: PMC5511596 DOI: 10.1007/s00122-017-2915-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Accepted: 04/27/2017] [Indexed: 05/04/2023]
Abstract
A total of 204,439 SSR markers were developed in diploid genomes, and 25 QTLs for shelling percentage were identified in a RIL population across 4 years including five consistent QTLs. Cultivated peanut (Arachis hypogaea L.) is an important grain legume providing edible oil and protein for human nutrition. Genome sequences of its diploid ancestors, Arachis duranensis and A. ipaensis, were reported, but their SSRs have not been well exploited and utilized hitherto. Shelling percentage is an important economic trait and its improvement has been one of the major objectives in peanut breeding programs. In this study, the genome sequences of A. duranensis and A. ipaensis were used to develop SSR markers, and a mapping population (Yuanza 9102 × Xuzhou 68-4) with 195 recombinant inbred lines was used to map QTLs controlling shelling percentage. The numbers of newly developed SSR markers were 84,383 and 120,056 in the A. duranensis and A. ipaensis genomes, respectively. Genotyping of the mapping population was conducted with both newly developed and previously reported markers. QTL analysis using the phenotyping data generated in Wuhan across four consecutive years and genotyping data of 830 mapped loci identified 25 QTLs with 4.46-17.01% of phenotypic variance explained in the four environments. Meta-analysis revealed five consistent QTLs that could be detected in at least two environments. Notably, the consistent QTL cqSPA09 was detected in all four environments and explained 10.47-17.01% of the phenotypic variance. The segregation in the progeny of a residual heterozygous line confirmed that the cpSPA09 locus had additive effect in increasing shelling percentage. These consistent and major QTL regions provide opportunity not only for further gene discovery, but also for the development of functional markers for breeding.
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Affiliation(s)
- Huaiyong Luo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Zhijun Xu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Zhendong Li
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Xinping Li
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Jianwei Lv
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Xiaoping Ren
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Li Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Xiaojing Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Jingyin Yu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Weigang Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
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Guimaraes LA, Mota APZ, Araujo ACG, de Alencar Figueiredo LF, Pereira BM, de Passos Saraiva MA, Silva RB, Danchin EGJ, Guimaraes PM, Brasileiro ACM. Genome-wide analysis of expansin superfamily in wild Arachis discloses a stress-responsive expansin-like B gene. PLANT MOLECULAR BIOLOGY 2017; 94:79-96. [PMID: 28243841 PMCID: PMC5437183 DOI: 10.1007/s11103-017-0594-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Accepted: 02/13/2017] [Indexed: 05/08/2023]
Abstract
Expansins are plant cell wall-loosening proteins involved in adaptive responses to environmental stimuli and various developmental processes. The first genome-wide analysis of the expansin superfamily in the Arachis genus identified 40 members in A. duranensis and 44 in A. ipaënsis, the wild progenitors of cultivated peanut (A. hypogaea). These expansins were further characterized regarding their subfamily classification, distribution along the genomes, duplication events, molecular structure, and phylogeny. A RNA-seq expression analysis in different Arachis species showed that the majority of these expansins are modulated in response to diverse stresses such as water deficit, root-knot nematode (RKN) infection, and UV exposure, with an expansin-like B gene (AraEXLB8) displaying a highly distinct stress-responsive expression profile. Further analysis of the AraEXLB8 coding sequences showed high conservation across the Arachis genotypes, with eight haplotypes identified. The modulation of AraEXLB8 expression in response to the aforementioned stresses was confirmed by qRT-PCR analysis in distinct Arachis genotypes, whilst in situ hybridization revealed transcripts in different root tissues according to the stress imposed. The overexpression of AraEXLB8 in soybean (Glycine max) composite plants remarkably decreased the number of galls in transformed hairy roots inoculated with RKN. This study improves the current understanding of the molecular evolution, divergence, and gene expression of expansins in Arachis, and provides molecular and functional insights into the role of expansin-like B, the less-studied plant expansin subfamily.
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Affiliation(s)
- Larissa Arrais Guimaraes
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, Final W5 Norte, Brasília, DF, CP 02372, Brazil
| | - Ana Paula Zotta Mota
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, Final W5 Norte, Brasília, DF, CP 02372, Brazil
- Universidade do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Ana Claudia Guerra Araujo
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, Final W5 Norte, Brasília, DF, CP 02372, Brazil
| | | | - Bruna Medeiros Pereira
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, Final W5 Norte, Brasília, DF, CP 02372, Brazil
- Universidade de Brasília, Campus Darcy Ribeiro, Brasília, DF, Brazil
| | | | - Raquel Bispo Silva
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, Final W5 Norte, Brasília, DF, CP 02372, Brazil
- Universidade de Brasília, Campus Darcy Ribeiro, Brasília, DF, Brazil
| | - Etienne G J Danchin
- Institut Sophia Agrobiotech, INRA, University of Nice Sophia Antipolis, CNRS, 06900, Sophia Antipolis, France
| | - Patricia Messenberg Guimaraes
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, Final W5 Norte, Brasília, DF, CP 02372, Brazil
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Guimaraes LA, Pereira BM, Araujo ACG, Guimaraes PM, Brasileiro ACM. Ex vitro hairy root induction in detached peanut leaves for plant-nematode interaction studies. PLANT METHODS 2017; 13:25. [PMID: 28400855 PMCID: PMC5387216 DOI: 10.1186/s13007-017-0176-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Accepted: 04/02/2017] [Indexed: 05/13/2023]
Abstract
BACKGROUND Peanut (Arachis hypogaea) production is largely affected by a variety of abiotic and biotic stresses, including the root-knot nematode (RKN) Meloidogyne arenaria that causes yield losses worldwide. Transcriptome studies of wild Arachis species, which harbor resistance to a number of pests and diseases, disclosed several candidate genes for M. arenaria resistance. Peanut is recalcitrant to genetic transformation, so the use of Agrobacterium rhizogenes-derived hairy roots emerged as an alternative for in-root functional characterization of these candidate genes. RESULTS The present report describes an ex vitro methodology for hairy root induction in detached leaves based on the well-known ability of peanut to produce roots spontaneously from its petiole, which can be maintained for extended periods under high-humidity conditions. Thirty days after infection with the A. rhizogenes 'K599' strain, 90% of the detached leaves developed transgenic hairy roots with 5 cm of length in average, which were then inoculated with M. arenaria. For improved results, plant transformation, and nematode inoculation parameters were adjusted, such as bacterial cell density and growth stage; moist chamber conditions and nematode inoculum concentration. Using this methodology, a candidate gene for nematode resistance, AdEXLB8, was successfully overexpressed in hairy roots of the nematode-susceptible peanut cultivar 'Runner', resulting in 98% reduction in the number of galls and egg masses compared to the control, 60 days after M. arenaria infection. CONCLUSIONS This methodology proved to be more practical and cost-effective for functional validation of peanut candidate genes than in vitro and composite plant approaches, as it requires less space, reduces analysis costs and displays high transformation efficiency. The reduction in the number of RKN galls and egg masses in peanut hairy roots overexpressing AdEXLB8 corroborated the use of this strategy for functional characterization of root expressing candidate genes. This approach could be applicable not only for peanut-nematode interaction studies but also to other peanut root diseases, such as those caused by fungi and bacteria, being also potentially extended to other crop species displaying similar petiole-rooting competence.
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Affiliation(s)
- Larissa Arrais Guimaraes
- Parque Estação Biológica, Embrapa Recursos Genéticos e Biotecnologia, CP 02372, Final W5 Norte, Brasília, DF Brazil
| | - Bruna Medeiros Pereira
- Parque Estação Biológica, Embrapa Recursos Genéticos e Biotecnologia, CP 02372, Final W5 Norte, Brasília, DF Brazil
- Universidade de Brasília, Campus Darcy Ribeiro, Brasília, DF Brazil
| | - Ana Claudia Guerra Araujo
- Parque Estação Biológica, Embrapa Recursos Genéticos e Biotecnologia, CP 02372, Final W5 Norte, Brasília, DF Brazil
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30
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Muñoz N, Liu A, Kan L, Li MW, Lam HM. Potential Uses of Wild Germplasms of Grain Legumes for Crop Improvement. Int J Mol Sci 2017; 18:E328. [PMID: 28165413 PMCID: PMC5343864 DOI: 10.3390/ijms18020328] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2016] [Revised: 01/26/2017] [Accepted: 01/26/2017] [Indexed: 01/14/2023] Open
Abstract
Challenged by population increase, climatic change, and soil deterioration, crop improvement is always a priority in securing food supplies. Although the production of grain legumes is in general lower than that of cereals, the nutritional value of grain legumes make them important components of food security. Nevertheless, limited by severe genetic bottlenecks during domestication and human selection, grain legumes, like other crops, have suffered from a loss of genetic diversity which is essential for providing genetic materials for crop improvement programs. Illustrated by whole-genome-sequencing, wild relatives of crops adapted to various environments were shown to maintain high genetic diversity. In this review, we focused on nine important grain legumes (soybean, peanut, pea, chickpea, common bean, lentil, cowpea, lupin, and pigeonpea) to discuss the potential uses of their wild relatives as genetic resources for crop breeding and improvement, and summarized the various genetic/genomic approaches adopted for these purposes.
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Affiliation(s)
- Nacira Muñoz
- Centre for Soybean Research of the Partner State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China.
- Centro de Investigaciones Agropecuarias-INTA, Instituto de Fisiología y Recursos Genéticos Vegetales, Córdoba X5000, Argentina.
- Cátedra de Fisiología Vegetal, Facultad de Ciencias Exactas Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba X5000, Argentina.
| | - Ailin Liu
- Centre for Soybean Research of the Partner State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China.
| | - Leo Kan
- Centre for Soybean Research of the Partner State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China.
| | - Man-Wah Li
- Centre for Soybean Research of the Partner State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China.
| | - Hon-Ming Lam
- Centre for Soybean Research of the Partner State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China.
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Luo H, Ren X, Li Z, Xu Z, Li X, Huang L, Zhou X, Chen Y, Chen W, Lei Y, Liao B, Pandey MK, Varshney RK, Guo B, Jiang X, Liu F, Jiang H. Co-localization of major quantitative trait loci for pod size and weight to a 3.7 cM interval on chromosome A05 in cultivated peanut (Arachis hypogaea L.). BMC Genomics 2017; 18:58. [PMID: 28068921 PMCID: PMC5223410 DOI: 10.1186/s12864-016-3456-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Accepted: 12/22/2016] [Indexed: 11/26/2022] Open
Abstract
Background Cultivated peanut (Arachis hypogaea L.), an important source of edible oil and protein, is widely grown in tropical and subtropical areas of the world. Genetic improvement of yield-related traits is essential for improving yield potential of new peanut varieties. Genomics-assisted breeding (GAB) can accelerate the process of genetic improvement but requires linked markers for the traits of interest. In this context, we developed a recombinant inbred line (RIL) mapping population (Yuanza 9102 × Xuzhou 68-4) with 195 individuals and used to map quantitative trait loci (QTLs) associated with three important pod features, namely pod length, pod width and hundred-pod weight. Results QTL analysis using the phenotyping data generated across four environments in two locations and genotyping data on 743 mapped loci identified 15 QTLs for pod length, 11 QTLs for pod width and 16 QTLs for hundred-pod weight. The phenotypic variation explained (PVE) ranged from 3.68 to 27.84%. Thirteen QTLs were consistently detected in at least two environments and three QTLs (qPLA05.7, qPLA09.3 and qHPWA05.6) were detected in all four environments indicating their consistent and stable expression. Three major QTLs, detected in at least three environments, were found to be co-localized to a 3.7 cM interval on chromosome A05, and they were qPLA05.7 for pod length (16.89–27.84% PVE), qPWA05.5 for pod width (13.73–14.12% PVE), and qHPWA05.6 for hundred-pod weight (13.75–26.82% PVE). This 3.7 cM linkage interval corresponds to ~2.47 Mb genomic region of the pseudomolecule A05 of A. duranensis, including 114 annotated genes related to catalytic activity and metabolic process. Conclusions This study identified three major consistent and stable QTLs for pod size and weight which were co-localized in a 3.7 cM interval on chromosome A05. These QTL regions not only offer further investigation for gene discovery and development of functional markers but also provide opportunity for deployment of these QTLs in GAB for improving yield in peanut. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-3456-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Huaiyong Luo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Xiaoping Ren
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Zhendong Li
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Zhijun Xu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Xinping Li
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Li Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Xiaojing Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Weigang Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Manish K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Baozhu Guo
- Crop Protection and Management Research Unit, USDA-ARS, Tifton, GA, 31793, USA
| | - Xiangguo Jiang
- Xiangyang Academy of Agricultural Sciences, Xiangyang, 461057, China
| | - Fei Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
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