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Adu GB, Awuku FJ, Garcia-Oliveira AL, Amegbor IK, Nelimor C, Nboyine J, Karikari B, Atosona B, Manigben KA, Aboyadana PA. DArTseq-based SNP markers reveal high genetic diversity among early generation fall armyworm tolerant maize inbred lines. PLoS One 2024; 19:e0294863. [PMID: 38630672 PMCID: PMC11023204 DOI: 10.1371/journal.pone.0294863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 11/09/2023] [Indexed: 04/19/2024] Open
Abstract
Diversity analysis using molecular markers serves as a powerful tool in unravelling the intricacies of inclusivity within various populations and is an initial step in the assessment of populations and the development of inbred lines for host plant resistance in maize. This study was conducted to assess the genetic diversity and population structure of 242 newly developed S3 inbred lines using 3,305 single nucleotide polymorphism (SNP) markers and to also assess the level of homozygosity achieved in each of the inbred lines. A total of 1,184 SNP markers were found highly informative, with a mean polymorphic information content (PIC) of 0.23. Gene diversity was high among the inbred lines, ranging from 0.04 to 0.50, with an average of 0.27. The residual heterozygosity of the 242 S3 inbred lines averaged 8.8%, indicating moderately low heterozygosity levels among the inbred lines. Eighty-four percent of the 58,322 pairwise kinship coefficients among the inbred lines were near zero (0.00-0.05), with only 0.3% of them above 0.50. These results revealed that many of the inbred lines were distantly related, but none were redundant, suggesting each inbred line had a unique genetic makeup with great potential to provide novel alleles for maize improvement. The admixture-based structure analysis, principal coordinate analysis, and neighbour-joining clustering were concordant in dividing the 242 inbred lines into three subgroups based on the pedigree and selection history of the inbred lines. These findings could guide the effective use of the newly developed inbred lines and their evaluation in quantitative genetics and molecular studies to identify candidate lines for breeding locally adapted fall armyworm tolerant varieties in Ghana and other countries in West and Central Africa.
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Affiliation(s)
| | | | - Ana Luisa Garcia-Oliveira
- International Maize and Wheat Improvement Center (CIMMYT), Nairobi, Kenya
- Department of Molecular Biology, College of Biotechnology, CCS Haryana Agricultural University, Hisar, Haryana, India
| | - Isaac Kodzo Amegbor
- CSIR-Savanna Agricultural Research Institute, Nyankpala, Ghana
- Faculty of Natural and Agricultural Sciences, Department of Plant Breeding, University of the Free State, Bloemfontein, South Africa
| | - Charles Nelimor
- CSIR-Savanna Agricultural Research Institute, Nyankpala, Ghana
| | - Jerry Nboyine
- CSIR-Savanna Agricultural Research Institute, Nyankpala, Ghana
| | - Benjamin Karikari
- Department of Agricultural Biotechnology, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, Tamale, Ghana
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Soro M, Zida SMFWP, Somé K, Tiendrébéogo F, Otron DH, Pita JS, Néya JB, Koné D. Estimation of Genetic Diversity and Number of Unique Genotypes of Cassava Germplasm from Burkina Faso Using Microsatellite Markers. Genes (Basel) 2024; 15:73. [PMID: 38254963 PMCID: PMC10815475 DOI: 10.3390/genes15010073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 12/13/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024] Open
Abstract
Genetic diversity is very important in crop improvement. This study was carried out to assess the genetic diversity and the number of unique multilocus genotypes (MLGs) in a cassava collection in Burkina Faso. To achieve this objective, 130 cassava accessions were genotyped using 32 simple sequence repeat (SSR) markers. The results revealed that among these markers, twelve (12) were highly informative, with polymorphic information content (PIC) values greater than 0.50; twelve (12) were moderately informative, with PIC values ranging between 0.25 and 0.50; and eight (8) were not very informative, with PIC values lower than 0.25. A moderate level of genetic diversity was found for the population, indicated by the average expected heterozygosity (0.45) and the observed heterozygosity (0.48). About 83.8% of unique multilocus genotypes were found in the cassava collection, indicating that SSR markers seem to be most appropriate for MLG identification. Population structure analysis based on hierarchical clustering identified two subpopulations and the Bayesian approach suggested five clusters. Additionally, discriminant analysis of principal components (DAPC) separated the cassava accessions into 13 subpopulations. A comparison of these results and those of a previous study using single nucleotide polymorphisms (SNP) suggests that each type of marker can be used to assess the genetic structure of cassava grown in Burkina Faso.
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Affiliation(s)
- Monique Soro
- Central and West African Virus Epidemiology (WAVE), Pôle Scientifique et d’Innovation de Bingerville, Université Félix Houphouët-Boigny (UFHB), Bingerville 08 BP 2035, Côte d’Ivoire; (D.H.O.); (J.S.P.)
- Laboratoire de Virologie et de Biotechnologies Végétales, Institut de l’Environnement et de Recherches Agricoles (INERA), Ouagadougou 01 BP 476, Burkina Faso; (K.S.); (J.B.N.)
- Laboratoire Mixte International Patho-Bios, Institut de l’Environnement et de Recherches Agricoles, Ouagadougou 01 BP 476, Burkina Faso
| | - Serge Marie Felicien Wend-Pagnagdé Zida
- Laboratoire de Génétique et de Biotechnologies Végétales, Institut de l’Environnement et de Recherches Agricoles (INERA), Ouagadougou 01 BP 476, Burkina Faso;
| | - Koussao Somé
- Laboratoire de Virologie et de Biotechnologies Végétales, Institut de l’Environnement et de Recherches Agricoles (INERA), Ouagadougou 01 BP 476, Burkina Faso; (K.S.); (J.B.N.)
- Laboratoire de Génétique et de Biotechnologies Végétales, Institut de l’Environnement et de Recherches Agricoles (INERA), Ouagadougou 01 BP 476, Burkina Faso;
| | - Fidèle Tiendrébéogo
- Laboratoire de Virologie et de Biotechnologies Végétales, Institut de l’Environnement et de Recherches Agricoles (INERA), Ouagadougou 01 BP 476, Burkina Faso; (K.S.); (J.B.N.)
| | - Daniel H. Otron
- Central and West African Virus Epidemiology (WAVE), Pôle Scientifique et d’Innovation de Bingerville, Université Félix Houphouët-Boigny (UFHB), Bingerville 08 BP 2035, Côte d’Ivoire; (D.H.O.); (J.S.P.)
- Laboratoire de Biotechnologie, Agriculture et Valorisation des Ressources Biologiques, UFR Biosciences, Université Félix Houphouët-Boigny, Abidjan 22 BP 582, Côte d’Ivoire;
| | - Justin S. Pita
- Central and West African Virus Epidemiology (WAVE), Pôle Scientifique et d’Innovation de Bingerville, Université Félix Houphouët-Boigny (UFHB), Bingerville 08 BP 2035, Côte d’Ivoire; (D.H.O.); (J.S.P.)
- Laboratoire de Biotechnologie, Agriculture et Valorisation des Ressources Biologiques, UFR Biosciences, Université Félix Houphouët-Boigny, Abidjan 22 BP 582, Côte d’Ivoire;
| | - James B. Néya
- Laboratoire de Virologie et de Biotechnologies Végétales, Institut de l’Environnement et de Recherches Agricoles (INERA), Ouagadougou 01 BP 476, Burkina Faso; (K.S.); (J.B.N.)
- Laboratoire Mixte International Patho-Bios, Institut de l’Environnement et de Recherches Agricoles, Ouagadougou 01 BP 476, Burkina Faso
| | - Daouda Koné
- Laboratoire de Biotechnologie, Agriculture et Valorisation des Ressources Biologiques, UFR Biosciences, Université Félix Houphouët-Boigny, Abidjan 22 BP 582, Côte d’Ivoire;
- Centre d’Excellence Africain sur le Changement Climatique, la Biodiversité et l’Agriculture Durable, Université Félix Houphouët-Boigny, Abidjan 22 BP 463, Côte d’Ivoire
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