Preliminary Assessment of the Association between DArT-SEQ SNP and some Nutritional Traits in African Yam Bean doi.org/10.26538/tjnpr/v4i11.5
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Abstract
African yam bean (AYB) is an underutilized tropical legume rich in protein and starch content. This study's aim was to use Diversity Arrays Technology (DArT) sequencing to study the genome-wide association studies (GWAS) of nutritional traits. The study was carried out on 137 accessions in IITA, Ibadan. Seeds were harvested at maturity and analysed for protein, oil, and starch using Kjeltec, Soxtec, and Phenol-sulfuric acid assay method. Mixed Linear Model (MLM) was used for GWAS analysis by employing the TASSEL software. AYB protein content ranged from 17.13-27.15%, while the oil and starch content ranged from 0.74-2.27% and 60.58- 69.84%, respectively. A total of 3.6K SNP was generated using a high-throughput DArTseq genotype-by-sequencing SNP approach in the AYB population. These generated SNPs were filtered for quality control, and the remaining useful 2.48K SNPs were used for the preliminary GWAS. We identified a promising source of genetic material for important grain nutritional traits that could be used in AYB breeding research. Identification of QTL/gene of protein, oil, and starch will contribute to our understanding of the genetic basis of natural variation in AYB grain nutritional traits.
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Mohantya CS, Singha V, Chapman MA. Winged bean: An underutilized tropical legume on the path of improvement, to help mitigate food and nutrition security. Sci Horticul 2020; 206:1087897.
Kuyper EM, Engle-Stone R, Arsenault JE, Arimond M, Adams KP, Dewey KG. Dietary gap assessment: an approach for evaluating whether a country’s food supply can support healthy diets at the population level. Public Health Nutr. 2017; 20: 2277-2288.
Obayelu AE. A preventable tragedy: how close is Africa to end hunger and malnutrition in all its forms by 2030? AJFAND. 2019; 19:1-5.
Pandey VL, Mahendra DS, Jayachandran U. Impact of agricultural interventions on the nutritional status in Sout Asia:A review. Food Policy 2016; 62:28-40.
Welch RM and Graham RD. Breeding for micronutrients in staple food crops from a human nutrition perspective. J Exp Bot. 2004; 55:353-364.
Black RE, Allen LH, Bhutta ZA, Caulfield LE, De Onis M, Ezzati M, Mathers C, Rivera J, Maternal and Child Undernutrition Study Group. Maternal and child undernutrition: global and regional exposures and health consequences. The Lancet 2008; 371:243-260.
Alake CO and Alake OO. Genetic diversity for agronutritional traits in African landraces of Vigna subterranean Germplasm. J Crop Improv. 2016; 30:378-398.
White PJ and Broadley MR. Biofortifying crops with essential mineral elements. Trends Plant Sci. 2005; 10:586-593.
Zhao FJ, Su YH, Dunham SJ, Rakszegi M, Bedo Z, McGrath SP Shewry PR. Variation in mineral micronutrient concentrations in grain of wheat lines of diverse origin. J Cereal Sci. 2009; 49:290-295.
Aremu C, Abberton M, Adebiyi T, Asaleye AJ, Inegbedion H, Abolusoro S, Adekiya A, Aboyeji C, Dunsin O. Selecting yield and nutritional traits in Sphenostylis stenocarpa landraces for food improvement. Recent Pat Food Nutr Agric. 2020; 11:69-81.
Bello OA, Ayanda OI, Aworunse OS, Olukanmi BI, Soladoye MO, Esan EB, Obembe OO. Solanecio biafrae: An underutilized nutraceutically-important African indigenous vegetable. Pharmacogn Rev. 2018; 12:128-132.
Aworunse OS, Bello OA, Popoola JO, Obembe OO. Pharmacotherapeutic properties of Telfairia occidentalis Hook F.: A systematic review. Pharmacogn Rev. 2018; 12:238- 249.
Obembe OO, Aworunse OS, Bello OA, Ani AO. Multiple Shoots Induction from Indigenous Nigerian Pumpkin (Cucurbita pepo L.). ARRB. 2017; 17:1-10.
Aremu CO, Ojuederie OB, Ayo-Vaughan F, Dahunsi O, Adekiya AO, Olayanju A, Adebiyi OT, Sunday I, Inegbedion H, Asaleye AJ, Abolusoro S. Morphometric analysis and characterization of the nutritional quality in African yam bean accessions. Plant Physiol Rep. 2019; 24:446-459.
Eromosele CO, Arogundade LA, Eromosele IC, Ademuyiwa O. Extractability of African yam bean (Sphenostylis stenocarpa) protein in acid, salt and alkaline aqueous media. Food Hydrocoll. 2008; 22:1622-1628.
Adewale BD, Dumet DJ, Vroh-Bi I, Kehinde OB, Ojo DK, Adegbite AE, Franco J. Morphological diversity analysis of African yam bean (Sphenostylis stenocarpa Hochst. ex A. Rich.) Harms and prospects for utilization in germplasm conservation and breeding. Genet. Resour. Crop Evol. 2012; 59:927-936.
Baiyeri SO, Uguru MI, Ogbonna PE, Samuel-Baiyeri CCA, Okechukwu R, Kumaga FK, Amoatey C. Evaluation of the nutritional composition of the seeds of some selected African yam bean (Sphenostylis stenocarpa Hochst Ex. A. Rich (Harms)) accessions. Agro-Sci. 2018; 17:37-44.
Ameh IG. Proximate and mineral composition of seed and tuber of African yam bean, Sphenostylis stenocarpa (Hochst. ex. a. rich.) Harms. ASSET: An Int J (Series B) 2007; 6:1-10.
Ojuederie OB, Balogun MO, Fawole I, Igwe DO, Olowolafe MO. Assessment of the genetic diversity of African yam bean (Sphenostylis stenocarpa Hochst ex. A Rich. Harms) accessions using amplified fragment length polymorphism (AFLP) markers. Afr J Biotechnol. 2014; 13:1850-1858.
Li D, Zhao X, Han Y, Li W, Xie F. Genome-wide association mapping for seed protein and oil contents using a large panel of soybean accessions. Genom. 2018; 111(1):90-95.
Liu HJ and Yan J. Crop genome‐wide association study: a harvest of biological relevance. Plant J. 2019; 97:8-18.
Doyle JJ and Doyle JL. Isolation of plant DNA from fresh tissue. Focus 1990; 12:13-15.
FOSS. Manual for Kjeltec System 8400 Distilling and Titration Unit; FOSS: Hilleroed, Denmark; Slangerupgade, Denmark. 2003.
Onitilo MO, Sanni L, Daniel I, Maziya-Dixon B, Dixon A. Physicochemical and functional properties of native starches from cassava varieties in southwest Nigeria. J Food Agric Environ. 2007; 5:10.
AOAC. Methods of the association of official analytical chemists. In Official Methods of Analysis, 15th ed.; Virginia Association of Official Analytical Chemistry: Rockville, MD, USA, 1990. 1141 p.
Bradbury PJ, Zhang Z, Kroon DE, Casstevens TM, Ramdoss Y, Buckler ES. TASSEL: software for association mapping of complex traits in diverse samples. Bioinform. 2007; 23:2633-2635.
Collard BCY, Jahufer MZZ, Brouwer JB, Pang ECK. An introduction to markers, quantitative trait loci (QTL) mapping and marker-assisted selection for crop improvement: The Basic Conc Euphy 2005; 142:169-196.
Yuan Y, Wang X, Wang L, Xing H, Wang Q, Saeed M, Tao J, Feng W, Zhang G, Song X-L, Sun X-Z. Genome-Wide Association Study Identifies Candidate Genes Related to Seed Oil Composition and Protein Content in Gossypium hirsutum L. Front Plant Sci. 2018; 9:1359.