Submitted:
07 August 2024
Posted:
08 August 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Plant Material and Crosses
2.2. Leaf Sample Collection and DNA Extraction
2.3. SSR Marker Selection and PCR Amplification
2.4. Gel Electrophoresis
2.5. Polymorphism Analysis
2.6. Determination of True Progeny
2.7. Statistical Analysis
3. Results
3.1. Screening the Parents and Progenies Using SSR Markers
3.2. Cluster analysis And F-Statistics
4. Discussion
5. Conclusion
Funding
Data Availability Statement
Acknowledgements
Conflicts of Interest
References
- Popoola, J.O.; Aworunse, O.S.; Ojuederie, O.B.; Adewale, B.D.; Ajani, O.C.; Oyatomi, O.A.; Eruemulor, D.I.; Adegboyega, T.T.; Obembe, O.O. The Exploitation of Orphan Legumes for Food, Income, and Nutrition Security in Sub-Saharan Africa. Front. Plant Sci. 2022, 13, 782140. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Baiyeri, S.; Uguru, M.; Ogbonna, P.; Samuel-Baiyeri, C.; Okechukwu, R.; Kumaga, F.; Amoatey, C. Evaluation of the nutritional composition ofthe seeds of some selected African yam bean (Sphenostylis stenocarpa Hochst Ex. A. Rich (Harms)) accessions. Agro-Science 2018, 17, 37. [Google Scholar] [CrossRef]
- Adewale, B.D.; Nnamani, C.V. Introduction to food, feed, and health wealth in African yam bean, a locked-in African indigenous tuberous legume. Front. Sustain. Food Syst. 2022, 6, 726458. [Google Scholar] [CrossRef]
- Enujiugha, V.N.; Talabi, J.Y.; Malomo, S.A.; Olagunju, A.I. DPPH Radical Scavenging Capacity of Phenolic Extracts from African Yam Bean (Sphenostylisstenocarpa). Food Nutr. Sci. 2012, 3, 7–13. [Google Scholar] [CrossRef]
- Potter, D.; Doyle, J.J. Origins of the African Yam bean (Sphenostylis stenocarpa, leguminosae): Evidence from morphology, isozymes, chloroplast DNA, and linguistics. Econ. Bot. 1992, 46, 276–292. [Google Scholar] [CrossRef]
- Duodu, K.G.; Apea-Bah, F.B. African Legumes: Nutritional and Health-Promoting Attributes, in Gluten-Free Ancient Grains. Cereals, Pseudocereals, and Legumes: Sustainable, Nutritious, and Health-Promoting Foods for the 21st Century.Woodhead Publishing, Elsevier Ltd. 2017. [CrossRef]
- National Research Council, 2006. Lost Crops of Africa, Volume II: Vegetables National Academic Press, Washington, DC. No Title.
- Klu, G.Y.P.; Amoatey, H.M.; Bansa, D.; Kumaga, F.K. Cultivation and use of African yam bean (Sphenostylisstenocarpa) in the Volta Region of Ghana. J. Food Technol. Africa 2001, 6. [Google Scholar] [CrossRef]
- Eneh, U.F.; Orjionwe, R.N.; Adindu, C.S. Effect of African Yam Bean (Sphenostylisstenocarpa) on Serum Calcium, Inorganic Phosphate, Uric Acid, and Alkaline Phosphatase Concentration of Male Albino Rats. J. Agric. Sci. 2015, 8, 148–153. [Google Scholar] [CrossRef]
- Shitta, N.S.; Edemodu, A.C.; Abtew, W.G.; Tesfaye, A.A. A Review on the Cooking Attributes of African Yam Bean (Sphenostylisstenocarpa). Legumes Res. 2022, 2. [Google Scholar] [CrossRef]
- Chinonyerem, A.; Obioha, O.; Ebere, U. Amino acid Composition, Amino Acid Scores and Predicted Protein Efficiency Ratio of Raw and Cooked African Yam Bean (Sphenostylissternocarpa). J. Appl. Life Sci. Int. 2017, 13. [Google Scholar] [CrossRef]
- Okeola, O.G.; Machuka, J.; Fasidi, I.O. Insecticidal activities of the African yam bean seed lectin on the development of the cowpea beetle and the pod-sucking bug.In C.A. Fatokun, S.A. Tarawali, B.B. Singh, P.M. Kormawa and M. Tamo” Challenges and opportunities for enhancing sustainable cowpea production. Proceedings of the World Cowpea Conference III held at the International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria, 4–8 September 2000. Ibadan, Nigeria: IITA.223-230.
- Duhan, N.; Kaundal, R. LegumeSSRdb: A Comprehensive Microsatellite Marker Database of Legumes for Germplasm Characterization and Crop Improvement. Int. J. Mol. Sci. 2021, 22, 11350. [Google Scholar] [CrossRef]
- Srivastava, S.; Avvaru, A.K.; Sowpati, D.T.; Mishra, R.K. Patterns of microsatellite distribution across eukaryotic genomes. BMC Genom. 2019, 20, 153. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Sari, D.; Sari, H.; Ikten, C.; Toker, C. Genome-wide discovery of di-nucleotide SSR markers based on whole genome re-sequencing data of Cicer arietinum L. and Cicer reticulatum Ladiz. Sci. Rep. 2023, 13, 10351. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Popoola, J.; Ojuederie, O.; Adegbite, A. Neglected and Underutilized legume crops: Improvement and future prospect. Recent Advances in Grain Crops Research. Agricultural and Food Sciences, Environmental science 2019. [CrossRef]
- Shitta, N.S.; Abberton, M.T.; Adesoye, A.I.; Adewale, D.B.; Oyatomi, O. Analysis of genetic diversity of African yam bean using SSR markers derived from cowpea. Plant Genet. Resour. Charact. Util. 2015, 14, 50–56. [Google Scholar] [CrossRef]
- Nnamani, C.V.; Afiukwa, C.A.; Oselebe, H.O.; Igwe, D.O.; Uhuo, C.A.; Idika, K.O.; Ezigbo, E.; Oketa, C.N.; Nwankwo, V.O.; Ukwueze, C.K.; et al. Genetic Diversity of some African Yam Bean Accessions in Ebonyi State Assessed using Inter Simple Sequence Repeat (ISSR) markers. J. Underutilized Legumes 2019, 1, 20–33. [Google Scholar]
- Moyib, O.; Gbadegesin, M.; Aina, O.O. Genetic variation within a collection of Nigerian accessions of African yam bean (Sphenostylisstenocarpa) revealed by RAPD primers. Afr. J. Biotech. 2008, 7, 1839–1846. [Google Scholar] [CrossRef]
- Omena, B.O.; Morufat, O.B.; Iyiola, F.; David, O.I.; Mercy, O.O. Assessment of the genetic diversity of African yam bean (SphenostylisstenocarpaHochst ex. A Rich.Harms) accessions using amplified fragment length polymorphism (AFLP) markers. Afr. J. Biotechnol. 2014, 13, 1850–1858. [Google Scholar] [CrossRef]
- Adewale, B.D.; Vroh-Bi, I.; Dumet, D.J.; Nnadi, S.; Kehinde, O.B.; Ojo, D.K.; Adegbite, A.E.; Franco, J. Genetic diversity in African yam bean accessions based on AFLP markers: Towards a platform for germplasm improvement and utilization. Plant Genet. Resour. Charact. Util. 2014, 13, 111–118. [Google Scholar] [CrossRef]
- Murray, M.G.; Thompson, W.F. Rapid isolation of high molecular weight plant DNA. Nucleic Acids Res. 1980, 8, 4321–4326. [Google Scholar] [CrossRef]
- Andargie, M.; Pasquet, R.S.; Gowda, B.S.; Muluvi, G.M.; Timko, M.P. Construction of a SSR-based genetic map and identification of QTL for domestication traits using recombinant inbred lines from a cross between wild and cultivated cowpea (V. unguiculata (L.) Walp.). Mol. Breed. 2011, 28, 413–420. [Google Scholar] [CrossRef]
- Bohra, A.; Dubey, A.; Saxena, R.K.; Penmetsa, R.V.; Poornima, K.; Kumar, N.; Farmer, A.D.; Srivani, G.; Upadhyaya, H.D.; Gothalwal, R.; et al. Analysis of BAC-end sequences (BESs) and development of BES-SSR markers for genetic mapping and hybrid purity assessment in pigeonpea (Cajanus spp.). BMC Plant Biol. 2011, 11, 56. [Google Scholar] [CrossRef]
- Paradis, E.; Schliep, K. ape 5.0: An environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics 2018, 35, 526–528. [Google Scholar] [CrossRef]
- Paliwal, R.; Adegboyega, T.T.; Abberton, M.; Faloye, B.; Oyatomi, O. Potential of genomics for the improvement of underutilized legumes in sub-Saharan Africa. Legum. Sci. 2021, 3. [Google Scholar] [CrossRef]
- Chander, S.; Garcia-Oliveira, A.L.; Gedil, M.; Shah, T.; Otusanya, G.O.; Asiedu, R.; Chigeza, G. Genetic diversity and population structure of soybean lines adapted to sub-Saharan Africa using single nucleotide polymorphism (SNP) markers. Agronomy. 2021, 11, 604. [Google Scholar] [CrossRef]
- Paliwal, R.; Abberton, M.T.; Faloye, B.; Oyatomi, O.A. Developing the role of legumes in West Africa under climate change. Current Opinion in Plant Biology, 2020, 56. [CrossRef]
- Simko, I.; Eujayl, I.; van Hintum, T.J.L. Empirical evaluation of DArT, SNP, and SSR marker-systems for genotyping, clustering, and assigning sugar beet hybrid varieties into populations. Plant Sci. 2012, 184. [Google Scholar] [CrossRef] [PubMed]
- Shonde, T.E.O.; Adebayo, M.A.; Bhadmus, A.A.; Adejumobi, I.I.; Oyatomi, O.A.; Faloye, B.; Abberton, M.T. Diversity Assessment of Winged Bean [Psophocarpustetragonolobus (L.) DC.] Accessions from IITA GenBank. Agronomy 2023, 13, 2150. [Google Scholar] [CrossRef]
- Wong, Q.N.; Tanzi, A.S.; Ho, W.K.; Malla, S.; Blythe, M.; Karunaratne, A.; Massawe, F.; Mayes, S. Development of Gene-Based SSR Markers in Winged Bean (Psophocarpustetragonolobus (L. ) DC.) for Diversity Assessment. Genes 2017, 8, 100. [Google Scholar] [CrossRef]
- Adewale, B.D.; Vroh, I.; Dumet, D.; Nnadi, S.; Kehinde, O.; Ojo, D.; Adegbite, A.; Franco, J. Genetic diversity in African yam bean accessions based on AFLP markers: Towards a platform for germplasm improvement and utilization. PlantGenet. Resour. Characterisation Util. 2015, 13, 1–8. [Google Scholar] [CrossRef]
- Njoku, D.; Gracen, V.; Offei, S.; Asante, I.; Danquah, E.; Egesi, C.; Okogbenin, E. Molecular marker analysis of F1 progenies and their parents for carotenoids inheritance in African cassava (Manihot esculenta Crantz). African J. Biotechnology, 2014, vol. 13, no. 40. [CrossRef]
- Adewale DB and Dumet DJ (2011). Descriptors for African yam bean, Sphenostylis stenocarpa (Hochst ex. A. Rich.) Harms. IITA Res Newsletter 1-12.
- Uguru, M.I.; Madukaife, S.O. Studies on the variability in agronomic and nutritive characteristics of African yam bean (Sphenostylis stenocarpa Hochst ex. A. Rich. Harms). Plant Prod. Res. J. 2001, 6, 10–19. [Google Scholar]
- Aina, A.; Garcia-Oliveira, A.L.; Ilori, C.; Chang, P.L.; Yussuf, M.; Oyatomi, O.; Abberton, M.; Potter, D. Predictive genotype-phenotype relations using genetic diversity in African yam bean (Sphenostylis stenocarpa (Hochst. ex. A. Rich) Harms). BMC Plant Biol 2021, 21, 547. [Google Scholar] [CrossRef]
- Olomitutu, O.E.; Paliwal, R.; Abe, A.; Oluwole, O.O.; Oyatomi, O.A.; Abberton, M.T. Genome-Wide Association Study Revealed SNP Alleles Associated with Seed Size Traits in African Yam Bean (Sphenostylis stenocarpa (Hochst ex. A. Rich.) Harms). Genes 2022, 13, 2350. [Google Scholar] [CrossRef]



| S/N | Accession No | Source | GT | Trait | FC | SC | SS | PD | SB | ST | PP | BP | SP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | TSs-417 | Unknown | Male | Tolerant | Purplish-Pink | Reddish-Brown | Oval | Shattering | Shiny | Smooth | Present | Absent | Red |
| 2 | TSs-111 | Nigeria | Male | Tolerant | Pale Violet | Dark-Brown | Oval | Non- Shattering | Shiny | Smooth | Absent | Absent | Green |
| 3 | TSs-78 | Nigeria | Male | Tolerant | Purplish-Pink | Brown/ Dark Brown | Oval | Non- Shattering | Medium | Rough | Present | Absent | Red |
| 4 | TSs-363 | Nigeria | Female | Susceptible | Pale Violet | Reddish/Light Brown | Oblong | Non- Shattering | Shiny | Rough | Absent | Absent | Green |
| 5 | TSs-274 | Nigeria | Female | Susceptible | Purplish-pink | Dark- Brown | Round | Shattering | Shiny | Smooth | Present | Present | Red |
| 6 | TSs-96 | Nigeria | Female | Susceptible | Violet-white | Brown/ Dark brown | Rhomboid | Shattering | Shiny | Smooth | Present | Present | Red |
| Hybrid crosses | True-to-type | Total progeny |
|---|---|---|
| TSs-274 x TSs-78 | 18 | 28 |
| TSs-363 x TSs-111 | 7 | 7 |
| TSs-96 xTSs-111 | 15 | 21 |
| TSs-96 x TSs-417 | 12 | 21 |
| Marker | MAF | Allele No | He | Ho | PIC |
|---|---|---|---|---|---|
| SSR-6701 | 0.687 | 2 | 0.430 | 0.333 | 0.338 |
| SSR-6623 | 0.675 | 2 | 0.439 | 0.453 | 0.343 |
| SSR-6466 | 0.639 | 4 | 0.500 | 0.643 | 0.424 |
| SSR-6577 | 0.699 | 2 | 0.421 | 0.321 | 0.332 |
| SSR-6924 | 0.687 | 2 | 0.430 | 0.453 | 0.338 |
| SSR-6982 | 0.675 | 2 | 0.439 | 0.566 | 0.343 |
| SSR-6294 | 0.675 | 2 | 0.439 | 0.423 | 0.343 |
| SSR-6225 | 0.675 | 2 | 0.439 | 0.246 | 0.343 |
| SSR-6171 | 0.639 | 4 | 0.500 | 0.643 | 0.424 |
| SSR-6730 | 0.687 | 2 | 0.430 | 0.356 | 0.338 |
| Mean | 0.673 | 2.4 | 0.447 | 0.4437 | 0.356 |
| Source | DF | SS | MS | Est. Var. | % | Fst | P |
|---|---|---|---|---|---|---|---|
| Among Populations | 2 | 13.000 | 6.500 | 1.333 | 57% | 0.571 | 0.009 |
| Among Individual | 3 | 3.500 | 1.167 | 0.167 | 7% | ||
| Within Individual | 6 | 5.000 | 0.833 | 0.833 | 36% | ||
| Total | 11 | 21.500 | 2.333 | 100% |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).