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Barbosa CFC, Asunto JC, Koh RBL, Santos DMC, Zhang D, Cao EP, Galvez LC. Genome-Wide SNP and Indel Discovery in Abaca ( Musa textilis Née) and among Other Musa spp. for Abaca Genetic Resources Management. Curr Issues Mol Biol 2023; 45:5776-5797. [PMID: 37504281 PMCID: PMC10377871 DOI: 10.3390/cimb45070365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 07/05/2023] [Accepted: 07/07/2023] [Indexed: 07/29/2023] Open
Abstract
Abaca (Musa textilis Née) is an economically important fiber crop in the Philippines. Its economic potential, however, is hampered by biotic and abiotic stresses, which are exacerbated by insufficient genomic resources for varietal identification vital for crop improvement. To address these gaps, this study aimed to discover genome-wide polymorphisms among abaca cultivars and other Musa species and analyze their potential as genetic marker resources. This was achieved through whole-genome Illumina resequencing of abaca cultivars and variant calling using BCFtools, followed by genetic diversity and phylogenetic analyses. A total of 20,590,381 high-quality single-nucleotide polymorphisms (SNP) and DNA insertions/deletions (InDels) were mined across 16 abaca cultivars. Filtering based on linkage disequilibrium (LD) yielded 130,768 SNPs and 13,620 InDels, accounting for 0.396 ± 0.106 and 0.431 ± 0.111 of gene diversity across these cultivars. LD-pruned polymorphisms across abaca, M. troglodytarum, M. acuminata and M. balbisiana enabled genetic differentiation within abaca and across the four Musa spp. Phylogenetic analysis revealed the registered varieties Abuab and Inosa to accumulate a significant number of mutations, eliciting further studies linking mutations to their advantageous phenotypes. Overall, this study pioneered in producing marker resources in abaca based on genome-wide polymorphisms vital for varietal authentication and comparative genotyping with the more studied Musa spp.
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Affiliation(s)
- Cris Francis C Barbosa
- Philippine Fiber Industry Development Authority (PhilFIDA), PCAF Building, Department of Agriculture (DA) Compound, Quezon City 1101, Philippines
- Institute of Biology, College of Science, University of the Philippines Diliman, Quezon City 1101, Philippines
| | - Jayson C Asunto
- Philippine Fiber Industry Development Authority (PhilFIDA), PCAF Building, Department of Agriculture (DA) Compound, Quezon City 1101, Philippines
| | - Rhosener Bhea L Koh
- National Institute of Molecular Biology and Biotechnology, University of the Philippines Diliman, Quezon City 1101, Philippines
| | - Daisy May C Santos
- Institute of Biology, College of Science, University of the Philippines Diliman, Quezon City 1101, Philippines
| | - Dapeng Zhang
- Sustainable Perennial Crops Laboratory, United States Department of Agriculture-Agricultural Research Service, Beltsville, MD 20705, USA
| | - Ernelea P Cao
- Institute of Biology, College of Science, University of the Philippines Diliman, Quezon City 1101, Philippines
| | - Leny C Galvez
- Philippine Fiber Industry Development Authority (PhilFIDA), PCAF Building, Department of Agriculture (DA) Compound, Quezon City 1101, Philippines
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Gardoce RR, Manohar ANC, Mendoza JVS, Tejano MS, Nocum JDL, Lachica GC, Gueco LS, Cueva FMD, Lantican DV. A novel SNP panel developed for targeted genotyping-by-sequencing (GBS) reveals genetic diversity and population structure of Musa spp. germplasm collection. Mol Genet Genomics 2023; 298:857-869. [PMID: 37085697 DOI: 10.1007/s00438-023-02018-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 04/08/2023] [Indexed: 04/23/2023]
Abstract
The Philippines is situated in the geographic region regarded as the center of diversity of banana and its wild relatives (Musa spp.). It holds the most extensive collection of B-genome germplasm in the world along with A-genome groups and several natural hybrids with A- and B-genome combinations. Management of this germplasm resource has relied immensely on identification using local names and morphological characters, and the extent of genetic diversity of the collection has not been achieved with molecular markers. A high-throughput and reliable genotyping method for banana and its relatives will facilitate germplasm management and support breeding initiatives toward a marker-based approach. Here, we developed a 1 K SNP genotyping panel based on filtering of high-quality genome-wide SNPs from the Musa Germplasm Information System and used it to assess the genetic diversity and population structure of 183 accessions from a Musa spp. germplasm collection containing Philippine and foreign accessions. Targeted GBS using SeqSNP™ technology generated 70,376,284 next-generation sequencing (NGS) reads with an average effective target SNP coverage of 340 × . Bioinformatics pipeline revealed 971 polymorphic SNPs containing 76.9% homozygous calls, 23.1% heterozygous calls and 4% with missing data. A final set of 952 SNPs detected 2,092 alleles. Pairwise genetic distance varied from 0.0021 to 0.3325 with most pairs of accessions distinguished with 250 to 300 loci. The SNP panel was able to detect seven (k = 7) genetically differentiated groups and its composition through Principal Component Analysis (PCA) with k-means clustering algorithm and Discriminant Analysis of Principal Components (DAPC). Accession-specific SNPs were also identified. The 1 K SNP panel effectively distinguishes between genomic groups and provides relatively good resolution of genome-wide nucleotide diversity of Musa spp. This panel is recommended for low-density genotyping for application in marker-assisted breeding and germplasm management, and could be further enhanced to increase marker density for other applications like genetic association and genomic selection in bananas.
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Affiliation(s)
- Roanne R Gardoce
- Institute of Plant Breeding, College of Agriculture and Food Science, University of the Philippines Los Baños, 4031, Laguna, Philippines.
| | - Anand Noel C Manohar
- Institute of Plant Breeding, College of Agriculture and Food Science, University of the Philippines Los Baños, 4031, Laguna, Philippines
| | - Jay-Vee S Mendoza
- Institute of Plant Breeding, College of Agriculture and Food Science, University of the Philippines Los Baños, 4031, Laguna, Philippines
| | - Maila S Tejano
- Institute of Plant Breeding, College of Agriculture and Food Science, University of the Philippines Los Baños, 4031, Laguna, Philippines
| | - Jen Daine L Nocum
- Institute of Plant Breeding, College of Agriculture and Food Science, University of the Philippines Los Baños, 4031, Laguna, Philippines
| | - Grace C Lachica
- Institute of Plant Breeding, College of Agriculture and Food Science, University of the Philippines Los Baños, 4031, Laguna, Philippines
- Philippine Genome Center Program for Agriculture, Livestock Fisheries and Forestry, University of the Philippines Los Baños, 4031, Laguna, Philippines
| | - Lavernee S Gueco
- Institute of Plant Breeding, College of Agriculture and Food Science, University of the Philippines Los Baños, 4031, Laguna, Philippines
| | - Fe M Dela Cueva
- Institute of Plant Breeding, College of Agriculture and Food Science, University of the Philippines Los Baños, 4031, Laguna, Philippines
| | - Darlon V Lantican
- Institute of Plant Breeding, College of Agriculture and Food Science, University of the Philippines Los Baños, 4031, Laguna, Philippines
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Droc G, Martin G, Guignon V, Summo M, Sempéré G, Durant E, Soriano A, Baurens FC, Cenci A, Breton C, Shah T, Aury JM, Ge XJ, Harrison PH, Yahiaoui N, D’Hont A, Rouard M. The banana genome hub: a community database for genomics in the Musaceae. HORTICULTURE RESEARCH 2022; 9:uhac221. [PMID: 36479579 PMCID: PMC9720444 DOI: 10.1093/hr/uhac221] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 09/22/2022] [Indexed: 06/17/2023]
Abstract
The Banana Genome Hub provides centralized access for genome assemblies, annotations, and the extensive related omics resources available for bananas and banana relatives. A series of tools and unique interfaces are implemented to harness the potential of genomics in bananas, leveraging the power of comparative analysis, while recognizing the differences between datasets. Besides effective genomic tools like BLAST and the JBrowse genome browser, additional interfaces enable advanced gene search and gene family analyses including multiple alignments and phylogenies. A synteny viewer enables the comparison of genome structures between chromosome-scale assemblies. Interfaces for differential expression analyses, metabolic pathways and GO enrichment were also added. A catalogue of variants spanning the banana diversity is made available for exploration, filtering, and export to a wide variety of software. Furthermore, we implemented new ways to graphically explore gene presence-absence in pangenomes as well as genome ancestry mosaics for cultivated bananas. Besides, to guide the community in future sequencing efforts, we provide recommendations for nomenclature of locus tags and a curated list of public genomic resources (assemblies, resequencing, high density genotyping) and upcoming resources-planned, ongoing or not yet public. The Banana Genome Hub aims at supporting the banana scientific community for basic, translational, and applied research and can be accessed at https://banana-genome-hub.southgreen.fr.
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Affiliation(s)
| | - Guillaume Martin
- CIRAD, UMR AGAP Institut, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
- French Institute of Bioinformatics (IFB) - South Green Bioinformatics Platform, Bioversity, CIRAD, INRAE, IRD, F-34398 Montpellier, France
| | - Valentin Guignon
- French Institute of Bioinformatics (IFB) - South Green Bioinformatics Platform, Bioversity, CIRAD, INRAE, IRD, F-34398 Montpellier, France
- Bioversity International, Parc Scientifique Agropolis II, 34397 Montpellier, France
| | - Marilyne Summo
- CIRAD, UMR AGAP Institut, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
- French Institute of Bioinformatics (IFB) - South Green Bioinformatics Platform, Bioversity, CIRAD, INRAE, IRD, F-34398 Montpellier, France
| | - Guilhem Sempéré
- French Institute of Bioinformatics (IFB) - South Green Bioinformatics Platform, Bioversity, CIRAD, INRAE, IRD, F-34398 Montpellier, France
- CIRAD, UMR INTERTRYP, F-34398 Montpellier, France
- INTERTRYP, Université de Montpellier, CIRAD, IRD, 34398 Montpellier, France
| | - Eloi Durant
- French Institute of Bioinformatics (IFB) - South Green Bioinformatics Platform, Bioversity, CIRAD, INRAE, IRD, F-34398 Montpellier, France
- Syngenta Seeds SAS, Saint-Sauveur, 31790, France
- DIADE, Univ Montpellier, CIRAD, IRD, Montpellier, 34830, France
| | - Alexandre Soriano
- CIRAD, UMR AGAP Institut, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
- French Institute of Bioinformatics (IFB) - South Green Bioinformatics Platform, Bioversity, CIRAD, INRAE, IRD, F-34398 Montpellier, France
| | - Franc-Christophe Baurens
- CIRAD, UMR AGAP Institut, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
| | - Alberto Cenci
- French Institute of Bioinformatics (IFB) - South Green Bioinformatics Platform, Bioversity, CIRAD, INRAE, IRD, F-34398 Montpellier, France
- Bioversity International, Parc Scientifique Agropolis II, 34397 Montpellier, France
| | - Catherine Breton
- French Institute of Bioinformatics (IFB) - South Green Bioinformatics Platform, Bioversity, CIRAD, INRAE, IRD, F-34398 Montpellier, France
- Bioversity International, Parc Scientifique Agropolis II, 34397 Montpellier, France
| | | | - Jean-Marc Aury
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Xue-Jun Ge
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510520, China
- Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Guangzhou 510520, China
| | - Pat Heslop Harrison
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510520, China
- Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK
| | - Nabila Yahiaoui
- CIRAD, UMR AGAP Institut, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
| | - Angélique D’Hont
- CIRAD, UMR AGAP Institut, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
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José Luis SC, Paulino PR, Bello-Bello JJ, Esteban EP, Víctor Heber AR, Tarsicio CT, Gabino GDLS, Victorino MR. SNP markers identification by genome wide association study for chemical quality traits of coffee (Coffea spp.) Germplasm. Mol Biol Rep 2022; 49:4849-4859. [PMID: 35474051 DOI: 10.1007/s11033-022-07339-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 01/18/2022] [Accepted: 03/04/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Coffee quality is an important selection criterion for coffee breeding. Metabolite profiling and Genome-Wide Association Studies (GWAS) effectively dissect the genetic background of complex traits such as metabolites content (caffeine, trigonelline, and 5-caffeoylquinic acid (5-CQA)) in coffee that affect quality. Therefore, it is important to determine the metabolic profiles of Coffea spp. genotypes. This study aimed to identify Single Nucleotide Polymorphisms (SNPs) within Coffea spp. genotypes through GWAS and associate these significant SNPs to the metabolic profiles of the different genotypes. METHODS AND RESULTS A total of 1,739 SNP markers were obtained from 80 genotypes using the DArTseq™ method. Caffeine, trigonelline, and 5-CQA content were determined in coffee leaves using Ultra-Performance Liquid Chromatography/tandem mass spectrometry (UPLC-MS/MS) analyses. The GWAS was carried out using the Genome Association and Prediction Integrated Tool (GAPIT) software and a compressed mixed linear model. Finally, a total of three significant SNP markers out of ten were identified. One SNP, located in the coffee chromosome (Chr) 8, was significantly associated with caffeine. The two remaining SNPs, located in Chr 4 and 5, were significantly associated with trigonelline and six SNPs markers were associated with 5-CQA in Chr 1, 5 and 10, but these six markers were not significant. CONCLUSIONS These significant SNP sequences were associated with protein ubiquitination, assimilation, and wall receptor kinases. Therefore, these SNPs might be useful hits in subsequent quality coffee breeding programs.
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Affiliation(s)
- Spinoso-Castillo José Luis
- Colegio de Postgraduados Campus Montecillo, Carretera Federal México-Texcoco km 36.5, 56230, Texcoco, Estado de México, México.
| | - Pérez-Rodríguez Paulino
- Colegio de Postgraduados Campus Montecillo, Carretera Federal México-Texcoco km 36.5, 56230, Texcoco, Estado de México, México
| | - Jericó Jabín Bello-Bello
- CONACYT-Colegio de Postgraduados Campus Córdoba, Carretera Federal Córdoba-Veracruz km 348, Amatlán de los Reyes 94946, Veracruz, México
| | - Escamilla-Prado Esteban
- Universidad Autónoma Chapingo, Centro Regional Universitario Oriente, Carretera Huatusco-Xalapa Km 6, 94100, Huatusco, Veracruz, México
| | - Aguilar-Rincón Víctor Heber
- Colegio de Postgraduados Campus Montecillo, Carretera Federal México-Texcoco km 36.5, 56230, Texcoco, Estado de México, México
| | - Corona-Torres Tarsicio
- Colegio de Postgraduados Campus Montecillo, Carretera Federal México-Texcoco km 36.5, 56230, Texcoco, Estado de México, México
| | - García-de Los Santos Gabino
- Colegio de Postgraduados Campus Montecillo, Carretera Federal México-Texcoco km 36.5, 56230, Texcoco, Estado de México, México
| | - Morales-Ramos Victorino
- Colegio de Postgraduados Campus Córdoba, Carretera Federal Córdoba-Veracruz km 348, Amatlán de los Reyes, 94946, Veracruz, México
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Uwimana B, Mwanje G, Batte M, Akech V, Shah T, Vuylsteke M, Swennen R. Continuous Mapping Identifies Loci Associated With Weevil Resistance [ Cosmopolites sordidus (Germar)] in a Triploid Banana Population. FRONTIERS IN PLANT SCIENCE 2021; 12:753241. [PMID: 34912355 PMCID: PMC8667469 DOI: 10.3389/fpls.2021.753241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 10/14/2021] [Indexed: 06/14/2023]
Abstract
The first step toward marker-assisted selection is linking the phenotypes to molecular markers through quantitative trait loci (QTL) analysis. While the process is straightforward in self-pollinating diploid (2x) species, QTL analysis in polyploids requires unconventional methods. In this study, we have identified markers associated with weevil Cosmopolites sordidus (Germar) resistance in bananas using 138 triploid (2n = 3x) hybrids derived from a cross between a tetraploid "Monyet" (2n = 4x) and a 2x "Kokopo" (2n = 2x) banana genotypes. The population was genotyped by Diversity Arrays Technology Sequencing (DArTSeq), resulting in 18,009 polymorphic single nucleotide polymorphisms (SNPs) between the two parents. Marker-trait association was carried out by continuous mapping where the adjusted trait means for the corm peripheral damage (PD) and total cross-section damage (TXD), both on the logit scale, were regressed on the marker allele frequencies. Forty-four SNPs that were associated with corm PD were identified on the chromosomes 5, 6, and 8, with 41 of them located on chromosome 6 and segregated in "Kokopo." Eleven SNPs associated with corm total TXD were identified on chromosome 6 and segregated in "Monyet." The additive effect of replacing one reference allele with the alternative allele was determined at each marker position. The PD QTL was confirmed using conventional QTL linkage analysis in the simplex markers segregating in "Kokopo" (AAAA × RA). We also identified 43 putative genes in the vicinity of the markers significantly associated with the two traits. The identified loci associated with resistance to weevil damage will be used in the efforts of developing molecular tools for marker-assisted breeding in bananas.
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Affiliation(s)
- Brigitte Uwimana
- International Institute of Tropical Agriculture (IITA), Kampala, Uganda
| | - Gerald Mwanje
- International Institute of Tropical Agriculture (IITA), Kampala, Uganda
| | - Michael Batte
- International Institute of Tropical Agriculture (IITA), Kampala, Uganda
| | - Violet Akech
- International Institute of Tropical Agriculture (IITA), Kampala, Uganda
| | - Trushar Shah
- International Institute of Tropical Agriculture (IITA), International Livestock Research Institute Campus, Nairobi, Kenya
| | | | - Rony Swennen
- International Institute of Tropical Agriculture (IITA), Kampala, Uganda
- Department of Crop Biosystems, KU Leuven, Heverlee, Belgium
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Mathiazhagan M, Chidambara B, Hunashikatti LR, Ravishankar KV. Genomic Approaches for Improvement of Tropical Fruits: Fruit Quality, Shelf Life and Nutrient Content. Genes (Basel) 2021; 12:1881. [PMID: 34946829 PMCID: PMC8701245 DOI: 10.3390/genes12121881] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 10/23/2021] [Accepted: 11/16/2021] [Indexed: 12/17/2022] Open
Abstract
The breeding of tropical fruit trees for improving fruit traits is complicated, due to the long juvenile phase, generation cycle, parthenocarpy, polyploidy, polyembryony, heterozygosity and biotic and abiotic factors, as well as a lack of good genomic resources. Many molecular techniques have recently evolved to assist and hasten conventional breeding efforts. Molecular markers linked to fruit development and fruit quality traits such as fruit shape, size, texture, aroma, peel and pulp colour were identified in tropical fruit crops, facilitating Marker-assisted breeding (MAB). An increase in the availability of genome sequences of tropical fruits further aided in the discovery of SNP variants/Indels, QTLs and genes that can ascertain the genetic determinants of fruit characters. Through multi-omics approaches such as genomics, transcriptomics, metabolomics and proteomics, the identification and quantification of transcripts, including non-coding RNAs, involved in sugar metabolism, fruit development and ripening, shelf life, and the biotic and abiotic stress that impacts fruit quality were made possible. Utilizing genomic assisted breeding methods such as genome wide association (GWAS), genomic selection (GS) and genetic modifications using CRISPR/Cas9 and transgenics has paved the way to studying gene function and developing cultivars with desirable fruit traits by overcoming long breeding cycles. Such comprehensive multi-omics approaches related to fruit characters in tropical fruits and their applications in breeding strategies and crop improvement are reviewed, discussed and presented here.
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Affiliation(s)
| | | | | | - Kundapura V. Ravishankar
- Division of Basic Sciences, ICAR Indian Institute of Horticultural Research, Hessaraghatta Lake Post, Bengaluru 560089, India; (M.M.); (B.C.); (L.R.H.)
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Bhat JA, Yu D, Bohra A, Ganie SA, Varshney RK. Features and applications of haplotypes in crop breeding. Commun Biol 2021; 4:1266. [PMID: 34737387 PMCID: PMC8568931 DOI: 10.1038/s42003-021-02782-y] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 10/09/2021] [Indexed: 12/17/2022] Open
Abstract
Climate change with altered pest-disease dynamics and rising abiotic stresses threatens resource-constrained agricultural production systems worldwide. Genomics-assisted breeding (GAB) approaches have greatly contributed to enhancing crop breeding efficiency and delivering better varieties. Fast-growing capacity and affordability of DNA sequencing has motivated large-scale germplasm sequencing projects, thus opening exciting avenues for mining haplotypes for breeding applications. This review article highlights ways to mine haplotypes and apply them for complex trait dissection and in GAB approaches including haplotype-GWAS, haplotype-based breeding, haplotype-assisted genomic selection. Improvement strategies that efficiently deploy superior haplotypes to hasten breeding progress will be key to safeguarding global food security.
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Affiliation(s)
- Javaid Akhter Bhat
- National Center for Soybean Improvement, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Deyue Yu
- National Center for Soybean Improvement, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Abhishek Bohra
- Crop Improvement Division, ICAR- Indian Institute of Pulses Research (ICAR- IIPR), Kanpur, India
| | - Showkat Ahmad Ganie
- Department of Biotechnology, Visva-Bharati, Santiniketan, 731235, WB, India.
| | - Rajeev K Varshney
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
- State Agricultural Biotechnology Centre, Centre for Crop & Food Research Innovation, Food Futures Institute, Murdoch University, Murdoch, WA, Australia.
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Martin G, Baurens F, Hervouet C, Salmon F, Delos J, Labadie K, Perdereau A, Mournet P, Blois L, Dupouy M, Carreel F, Ricci S, Lemainque A, Yahiaoui N, D’Hont A. Chromosome reciprocal translocations have accompanied subspecies evolution in bananas. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2020; 104:1698-1711. [PMID: 33067829 PMCID: PMC7839431 DOI: 10.1111/tpj.15031] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 10/02/2020] [Indexed: 05/09/2023]
Abstract
Chromosome rearrangements and the way that they impact genetic differentiation and speciation have long raised questions from evolutionary biologists. They are also a major concern for breeders because of their bearing on chromosome recombination. Banana is a major crop that derives from inter(sub)specific hybridizations between various once geographically isolated Musa species and subspecies. We sequenced 155 accessions, including banana cultivars and representatives of Musa diversity, and genotyped-by-sequencing 1059 individuals from 11 progenies. We precisely characterized six large reciprocal translocations and showed that they emerged in different (sub)species of Musa acuminata, the main contributor to currently cultivated bananas. Most diploid and triploid cultivars analyzed were structurally heterozygous for 1 to 4 M. acuminata translocations, highlighting their complex origin. We showed that all translocations induced a recombination reduction of variable intensity and extent depending on the translocations, involving only the breakpoint regions, a chromosome arm, or an entire chromosome. The translocated chromosomes were found preferentially transmitted in many cases. We explore and discuss the possible mechanisms involved in this preferential transmission and its impact on translocation colonization.
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Affiliation(s)
- Guillaume Martin
- CIRADUMR AGAPMontpellierF‐34398France
- AGAPUniv MontpellierCIRADINRAEInstitut AgroMontpellier34060France
| | - Franc‐Christophe Baurens
- CIRADUMR AGAPMontpellierF‐34398France
- AGAPUniv MontpellierCIRADINRAEInstitut AgroMontpellier34060France
| | - Catherine Hervouet
- CIRADUMR AGAPMontpellierF‐34398France
- AGAPUniv MontpellierCIRADINRAEInstitut AgroMontpellier34060France
| | - Frédéric Salmon
- AGAPUniv MontpellierCIRADINRAEInstitut AgroMontpellier34060France
- CIRADUMR AGAPCapesterre‐Belle‐EauGuadeloupeF‐97130France
| | - Jean‐Marie Delos
- AGAPUniv MontpellierCIRADINRAEInstitut AgroMontpellier34060France
- CIRADUMR AGAPCapesterre‐Belle‐EauGuadeloupeF‐97130France
| | - Karine Labadie
- GenoscopeInstitut de biologie François JacobCommissariat à l'Energie Atomique (CEA)Université Paris‐SaclayEvryFrance
| | - Aude Perdereau
- GenoscopeInstitut de biologie François JacobCommissariat à l'Energie Atomique (CEA)Université Paris‐SaclayEvryFrance
| | - Pierre Mournet
- CIRADUMR AGAPMontpellierF‐34398France
- AGAPUniv MontpellierCIRADINRAEInstitut AgroMontpellier34060France
| | - Louis Blois
- CIRADUMR AGAPMontpellierF‐34398France
- AGAPUniv MontpellierCIRADINRAEInstitut AgroMontpellier34060France
| | - Marion Dupouy
- CIRADUMR AGAPMontpellierF‐34398France
- AGAPUniv MontpellierCIRADINRAEInstitut AgroMontpellier34060France
| | - Françoise Carreel
- CIRADUMR AGAPMontpellierF‐34398France
- AGAPUniv MontpellierCIRADINRAEInstitut AgroMontpellier34060France
| | - Sébastien Ricci
- AGAPUniv MontpellierCIRADINRAEInstitut AgroMontpellier34060France
- CIRADUMR AGAPCapesterre‐Belle‐EauGuadeloupeF‐97130France
| | - Arnaud Lemainque
- GenoscopeInstitut de biologie François JacobCommissariat à l'Energie Atomique (CEA)Université Paris‐SaclayEvryFrance
| | - Nabila Yahiaoui
- CIRADUMR AGAPMontpellierF‐34398France
- AGAPUniv MontpellierCIRADINRAEInstitut AgroMontpellier34060France
| | - Angélique D’Hont
- CIRADUMR AGAPMontpellierF‐34398France
- AGAPUniv MontpellierCIRADINRAEInstitut AgroMontpellier34060France
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