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Comparative analysis of genetic similarity among sorghum (Sorghumbicolor (L.) Moench) lines as revealed by morphological and molecular markers

Published online by Cambridge University Press:  05 January 2012

D. Chandrasekara Reddy
Affiliation:
Directorate of Sorghum Research (previously, National Research Centre for Sorghum), Hyderabad, AP, India
S. Audilakshmi*
Affiliation:
Directorate of Sorghum Research (previously, National Research Centre for Sorghum), Hyderabad, AP, India
R. Madhusudhana
Affiliation:
Directorate of Sorghum Research (previously, National Research Centre for Sorghum), Hyderabad, AP, India
N. Seetharama
Affiliation:
Directorate of Sorghum Research (previously, National Research Centre for Sorghum), Hyderabad, AP, India
*

Abstract

The stagnation of sorghum grain yields worldwide and utilization of inbred lines by public and private organizations (multinational seed companies) warrant the understanding of genetic diversity present in inbred lines. The objectives of this study were (1) to compare morphological and molecular diversity analysis and (2) to identify heterotic pools from the genotypes evaluated. Sixty-five rainy-season elite lines were evaluated during the 2006 and 2007 rainy seasons, and 15 post-rainy-season genotypes in the 2003 and 2004 post-rainy seasons for their distinctiveness, uniformity and stability at the Directorate of Sorghum Research, Hyderabad, India. Ninety-three genotypes (ten rainy-season B lines, 13 rainy-season R lines, 36 rainy-season varieties, seven rainy-season hybrids, ten forage varieties and 17 post-rainy-season genotypes) were evaluated using 48 simple sequence repeat (SSR) markers that are uniformly distributed over the sorghum genome. From the 93 genotypes analysed, 310 alleles were observed, with an average of 6.5 alleles per locus. A high level of polymorphism (mean 97%) was detected. A significant positive correlation (r = 0.463; P = 0.001) between genetic similarities and morphological similarities was obtained. Unlike previous reports, both methods clearly distinguished B lines, R lines, rainy-season varieties, post-rainy-season varieties and forage varieties. Forage and post-rainy-season varieties present a higher diversity of 60%. This could be because the post-rainy-season varieties are developed from local landraces and forage genotypes from crosses such as Sorghum bicolor × Sudan grass. Herein, we further discuss the grouping of elite genotypes into different heterotic pools.

Type
Research Article
Copyright
Copyright © NIAB 2011

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References

Agrama, HA and Tuinstra, MR (2003) Phylogenetic diversity and relationships among sorghum accessions using SSRs and RAPDs. African Journal of Biotechnology 10: 334340.CrossRefGoogle Scholar
Ali, ML, Rajewski, JF, Baenziger, PS, Gill, KS, Eskridge, KM and Dweikat, I (2008) Assessment of genetic diversity and relationship among a collection of US sweet sorghum germplasm by SSR markers. Molecular Breeding 2: 497509.Google Scholar
Anantharaju, P and Meenakshiganeshan, N (2008) Genetic divergence studies in finger millet [Eleusine Coracana (L.) gaertn]. The Indian Journal of Agricultural Sciences 42: 120123.Google Scholar
Aruna, C and Audilakshmi, S (2008) A strategy to identify potential germplasm for improving yield attributes using diversity analysis in sorghum. Plant Genetic Resources: Characterization and Utilization. 6: 187194.Google Scholar
Arya, L, Verma, M, Sandhia, GS, Singh, SK and Lakhanpaul, S (2008) Pattern of genetic relationship as revealed by AFLP markers in Indian sorghum. Indian Journal of Genetics 68: 139144.Google Scholar
Audilakshmi, S, Aruna, C and Kiran, VVS (2003) Utilization of germplasm for improvement of varieties in India. In Report of AICSIP, AICSIP Annual Meeting of the Sorghum Group, 1–3 April, Sorghum Research Station (GAU), Surat, Gujarat, pp. 4753.Google Scholar
Audilakshmi, S, Elangovan, M and Kanna Babu, N (2004) DUS testing manual on sorghum. Paper presented at 34th Annual meeting, 20–22 May, Tamil Nadu Agricultural University, Coimbatore.Google Scholar
Ayana, A, Bryngelsson, T and Bekele, E (2000) Genetic variation of Ethiopian and Eritrean sorghum [Sorghum bicolor (L.) Moench] germplasm by random amplified polymorphic DNA (RAPD). Genetic Resources Crop Evaluation 47: 471482.Google Scholar
Casa, AM, Mitchell, SE, Hamblin, MT, Sun, H, Bowers, JE, Paterson, AH, Aquadro, CF and Kresovich, S (2005) Diversity and selection in sorghum: simultaneous analyses using simple sequence repeats. Theoretical Applied Genetics 111: 2330.Google Scholar
Chandra Sekara Reddy, D, Audilakshmi, S and Seetharama, N (2009) Genetic variability and divergence for DUS testing traits in sorghum (Sorghum bicolor). Indian Journal of Agricultural Sciences 79: 286290.Google Scholar
Dahlberg, JA, Zhang, X, Hart, GE and Mullet, JE (2002) Comparative assessment of variation among sorghum germplasm accessions using seed morphology and RAPD measurements. Crop Science 42: 291296.Google Scholar
Deu, M, Rattunde, F and Chantereau, J (2006) A global view of genetic diversity in cultivated sorghums using a core collection. Genome 49: 168180.Google Scholar
Devin, MN, Wang, LYP, Karl, DG and Brian, WD (2007) Variability among Chinese Glycine soja and Chinese and North American soybean genotypes. Crop Science 47: 12891298.Google Scholar
Dhillon, MK, Sharma, HC, Folkertsma, RT and Chandra, S (2006) Genetic divergence and molecular characterization of sorghum hybrids and their parents for reaction to Atherigona soccata (Rondani). Euphytica 149: 199210.Google Scholar
Engels, B (1994) Detailed study of the configuration selected multi-reference configuration interaction method combined with perturbation theory to correct the wave function. Journal of Chemical Physics 100: 13801386.CrossRefGoogle Scholar
Fufa, H, Baenziger, PS, Beecher, BS, Dweikat, I, Graybosch, RA and Eskridge, KM (2005) Comparison of phenotypic and molecular marker-based classifications of hard red winter wheat cultivars. Euphytica 145: 133146.Google Scholar
Hair, JF Jr, Anderson, RE and Tatham, RL (1987) Multivariate Data Analysis with Readings. New York: Macmillan Publishing Co.Google Scholar
Hamza, S, Hamida, WB, Rebai, A and Moncef, H (2004) SSR-based genetic diversity assessment among Tunisian winter barley and relationship with morphological traits. Euphytica 135: 107118.Google Scholar
Jaccard, P (1908) Nouvelles recherches sur la distribution florale. Bulletin Vaudoise des Sciences Naturelles 44: 223270.Google Scholar
Kisha, TJ, Sneller, CH and Diers, BW (1997) Relationship between genetic distance among parents and genetic variance in populations of soybean. Crop Science 37: 13171325.CrossRefGoogle Scholar
Klein, RR, Mullet, JE, Jordan, DR, Miller, FR, Rooney, WL, Menz, MA, Franks, CD and Klein, PE (2008) The effect of tropical sorghum conversion and inbred development on genome diversity as revealed by high-resolution genotyping. Crop Science 48: S12S26.Google Scholar
Mahalanobis, PC (1930) On test and measure of group divergence. Journal of Asiatic Society, Bengal 26: 541588.Google Scholar
Menz, MA, Klein, RR, Unruh, NC, Rooney, WL, Klein, PE and Mullet, JE (2004) Genetic diversity of public inbreds of sorghum determined by mapped AFLP and SSR markers. Crop Science 44: 12361244.Google Scholar
Nei, M and Li, WH (1979) Mathematical model for studying genetic variation in terms of restriction endonucleases. Proceedings of National Academy of Sciences, USA 76: 52695273.Google Scholar
Perumal, R, Krishnaramanujam, R, Menz, MA, Katilé, S, Dahlberg, J, Magill, CW and Rooney, WL (2007) Genetic diversity among sorghum races and working groups based on AFLPs and SSRs. Crop Science 47: 13751383.Google Scholar
Reddy, BVS and Prasada Rao, KE (1993) Varietal improvement: genetic diversification. Cereals Program, ICRISAT Annual Report 1992. Patancheru: ICRISAT, pp. 4851.Google Scholar
Saghai-Maroof, MA, Soliman, KM, Jorgensen, RA and Allard, RW (1984) Ribosomal DNA spacer length polymorphism in barley: Mendelian inheritance, chromosomal location and population dynamics. Proceedings of National Academy of Sciences, USA 81: 80148018.Google Scholar
Schloss, SJ, Mitchell, SE, White, GM, Kukatla, R, Bowers, JE, Paterson, AH and Kresovich, S (2002) Characterization of RFLP probe sequences for gene discovery and SSR development in Sorghum bicolor (L.) Moench. Theoretical Applied Genetics 105: 912920.Google Scholar
Smith, JSC, Kresovich, S, Hopkins, MS, Mitchell, SE, Dean, RE, Woodman, WL, Lee, M and Porter, K (2000) Genetic diversity among elite sorghum inbred lines assessed with simple sequence repeats. Crop Science 40: 226232.Google Scholar
Smith, S, Promino, V, Monk, R, Nelson, B, Jone, E and Porter, K (2010) Genetic diversity of widely used U.S. sorghum hybrids 1980–2008. Crop Science 50: 16641673.Google Scholar
Ward, JH (1963) Hierarchical grouping to optimize an objective function. Journal of American Statistics Association 58: 236244.CrossRefGoogle Scholar
Yang, W, de Oliveira, C, Godwin, I, Schertz, K and Bennetzen, JL (1996) Comparison of DNA marker technologies in characterizing plant genome diversity: variability in Chinese sorghums. Crop Science 36: 16691676.Google Scholar
Supplementary material: File

Audilakshmi Supplementary Table 1

Table S1 List of the experimental material included in the study

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Supplementary material: File

Audilakshmi Supplementary Table 2

Table S2 List of quantitative characters studied and the mean performance of different sorghum genotypes

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Supplementary material: File

Audilakshmi Supplementary Table 3

Table S3 List of qualitative characters studied and the results of different sorghum genotypes

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