Genetic diversity in cassava based on agronomical, physiological and EST-microsatellite markers under moisture stress conditions

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Published

2023-12-30

DOI:

https://doi.org/10.58993/ijh/2023.80.4.3

Keywords:

Manihot esculenta, drought, agro-physiological, EST-Microsatellites polymorphism, genetic diversity
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Vol. 80 No. 04 (2023): Indian Journal of Horticulture

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Articles

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Copyright (c) 2023 Indian Journal of Horticulture

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors

  • B.R Ajeesh Division of Crop Improvement, ICAR-Central Tuber Crops Research Institute, Thiruvananthapuram-695017, Kerala, India.
  • A.V.V. Koundinya Division of Crop Improvement, ICAR-Central Tuber Crops Research Institute, Thiruvananthapuram-695017, Kerala, India.
  • K.M. Senthilkumar Division of Crop Improvement, ICAR-Central Tuber Crops Research Institute, Thiruvananthapuram-695017, Kerala, India.
  • Vivek Hegde Division of Crop Improvement, ICAR-Central Tuber Crops Research Institute, Thiruvananthapuram-695017, Kerala, India.
  • Kalidas Pati
  • Kalidas Pati Division of Crop Improvement, ICAR-Central Tuber Crops Research Institute, Thiruvananthapuram-695017, Kerala, India.

Abstract

The genetic diversity of 23 cassava accessions was studied using agro-physiological and Expressed
Sequence Tags (EST)-Microsatellite markers. The genotypes were classified into six clusters based on
agronomical and physiological parameters. Cluster-2 had the highest number of genotypes (10), while clusters-5
and 6 had single accession, respectively. The high-yielding and highly drought-tolerant genotype 8S501
stood alone in cluster 5. It had high cluster mean values for the majority of the traits. The genotypes present
in cluster-4 & 5 and cluster-1 & 2 were divergent and hybridisation between these two groups may result in
superior genotypes for drought tolerance. The EST-Microsatellites obtained from the drought transcriptome
of cassava showed that the mean number of alleles per locus was 1.81, with an average size of 217.7 bp. The
locus, MeESSR47 (Thylakoid membrane phosphoprotein 14 kDa, chloroplast precursor, putative), had more
heterozygosity (0.387) and Shannon’s Index (0.575) among all the loci. Cumulatively, these results showed
low polymorphism in the EST regions of cassava DNA. The dendrogram showed 4 clusters based on EST
microsatellite diversity. The microsatellite-based cluster classification of genotypes did not follow the diversity
based on agronomical traits under moisture stress conditions. A weak correlation revealed by the Mantel test
also indicated no relation between agronomical and molecular diversity.

How to Cite

Ajeesh, B., Koundinya, A., Senthilkumar, K., Hegde, V., Pati, K., & Pati, K. (2023). Genetic diversity in cassava based on agronomical, physiological and EST-microsatellite markers under moisture stress conditions. Indian Journal of Horticulture, 80(04), 319–325. https://doi.org/10.58993/ijh/2023.80.4.3

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References

Bouslama, M. and Schapaugh, W.T. 1984. Stress tolerance in soybean. Part 1: Evaluation of three screening techniques for heat and drought tolerance. Crop Sci. 24:933-937.

Fernandez, G.C.J. 1992. Effective selection criteria for assessing plant stress tolerance. In: Adaptation of food crops to temperature and water stress. Kuo, C. G. (Ed.). Asian Vegetable Research and Development Center, Shanhua, pp. 257-270.

Fischer, R.A. and Maurer, R. 1978. Drought resistance in spring wheat cultivars. I. Grain yield responses. Aust. J. Agric. Res. 29:897-912.

Hegde, V., Koundinya, A.V.V., Sheela, M.N., Visalakshi Chandra, C. and Mukherjee, A. 2019. Storage of Cassava Pollen for Conservation of Nuclear Genetic Diversity and Overcoming Hybridization Barriers. Indian J. Horti.76(1):104-111.

Hossain, A.B.S., Sears, A.G., Cox, T.S., and Paulsen, G.M. 1990. Desiccation tolerance and its relationship to assimilate partitioning in winter wheat. Crop Sci. 30:622-627.

Koundinya, A.V.V., Hegde, V., Sheela, M.N. and Visalakshi Chandra, C. 2018. Evaluation of cassava varieties for drought tolerance under water deficit stress conditions. J. Root Crops 44(1):3-9.

Lyimo, L.D., Tairo, F.M. and Rweyemamu, C.L. 2012. Morphological and molecular characterization of Cassava (Manihot esculenta Crantz) landraces using SSR markers. Inter. J. Inte. Biol. 2:71-78.

Ndung’u, J.N., Wachira, F.N., Kinyua, M.G., Lelgut, D.K., Njau, P., Okwaro, H. and Obiero, H. 2014. Genetic diversity study of Kenyan cassava germplasm using simple sequence repeats. African J. Biotech. 13(8):926-935.

Norhayati, I.S., Nasarudin, N.S., Firdaus, A.R.S., Fairuz, M.Y.M. and Azwan, J.M. 2018. Characterisation of 13 polymorphic simple sequence repeat (SSR) markers for cassava (Manihot esculenta Crantz). J. Trop. Agri. Food Sci. 46(1):17 – 23

Pillai, S.V. 2002. Variability and genetic diversity in exotic germplasm of cassava (Manihot esculenta Crantz) Indian J. Genet. 62(3):242-244.

Raghu, D., Senthil, N., Saraswathi, T., Raveendran, M., Gnanam, R., Venkatachalam, R., Shanmugasundaram, P. and Mohan, C. 2007. Morphological and simple sequence repeats (SSR) based finger printing of south Indian cassava germplasm. Inter. J. Inte. Biol. 1(2):141-148.

Raji, A.A., Anderson, J.V., Kolade, O.A., Ugwu, C.D., Dixon, A.G. and Ingelbrecht, I.L. 2009. Gene-based microsatellites for cassava (Manihot esculenta Crantz): prevalence, polymorphisms, and cross-taxa utility. BMC Pl. Biol. 9(1):118.

Sadasivam, S. and Manickam A. 1991. Biochemical methods. New Age International Publishers, Chennai p 270.

Saghai-Maroof, M.A., Soliman, K.M., Jorgensen, R.A. and Allard, R.W. L. 1984. Ribosomal DNA spacer-length polymorphisms in barley: Mendelian inheritance, chromosomal location, and population dynamics. Proceed. Nat. Acad. Sci. 81(24):8014-8018.

Sreelekha, S., Kumar, S. and Pillai, S.V. 2010. Assessing Genetic Diversity of Indian cassava: A comparison of old and new collections using microsatellite markers. The Asian and Aust. J. Pl. Sci. Biotech. 4(1):43-52.