Population structure and genetic analysis of different utility types of mango (Mangifera indica L.) germplasm of Andhra Pradesh state of India using microsatellite markers

Abstract

Genetic analysis of 90 mango genotypes including juicy, table, dual and pickle types from different parts of Andhra Pradesh of India was carried out employing 143 mango-specific microsatellite markers. Of the 143, 34 were new mango-specific microsatellite loci isolated in the course of the present investigation by constructing an (CA) n and (TG) n -enriched genomic library. Characterization of the 90 genotypes resulted in the detection of 301 alleles from 106 polymorphic loci with an average of 2.87 alleles per locus and polymorphism information content of 0.67. UPGMA cluster analysis grouped all the genotypes into two major groups with a genetic similarity range of 47-88 %. Grouping of the genotypes based on the utility type was observed only at sub-cluster level. Study of population structure by a model-based STRUCTURE analysis revealed the germplasm to exist in four gene pools. Overall F st of 0.11 indicated genetic differentiation between the populations to be low. Analysis of molecular variance revealed that major proportion of the variation was within the individuals (62.25 %). The molecular marker-based study of genetic diversity suggests that the germplasm studied representing the kind of variability would be a valuable genetic resource for future breeding and association mapping in search for new and novel alleles.

Genetic Diversity of Wild and Cultivated Mango Genotypes of Pakistan Using SSR Markers

“…These markers painted high level of genetic variation by producing a total of 296 alleles. This is lower in comparison to 318 bands detected in 90 mango genotypes with 106 SSR loci by Surapaneni et al (2013) and higher than the 103 alleles generated in 241 mango genotypes (Singh et al, 2009). The existence of different SSR alleles showed genetic polymorphism in the studied mango genotypes.…”

“…A comparable study of diversity in Indian collection of 387 mango genotypes was carried out by Ravishankar et al (2015), which revealed a mean of 24.61 alleles per SSR locus and a mean Ho of 0.624. Another study showed that a panel of 90 Indian local genotypes harboured 2.87 alleles per SSR locus and a mean Ho of 0.29 (Surapaneni et al, 2013). Dillon et al (2013) reported an average of 12.09 alleles per SSR locus and a mean Ho of 0.69 in Australian National Mango Genebank, which mainly comprised of M. indica and its related species.…”

“…Different levels of genetic diversity and polymorphism have been reported in mango using various types of markers, like 90% and above by SSR markers (Dillon et al, 2013;Surapaneni et al, 2013), 85 to 99% with ISSR (Ariffin et al, 2015;Samal et al, 2012;Tomar et al, 2011), 73 to 100% with RAPD (Ravishankar et al, 2000;Karihaloo et al, 2003;Rahman et al, 2007;Rajwana et al, 2008;Souza et al, 2011), 84 to 96% by AFLP (Yamanaka et al, 2006;Ga´lvez-Lo´pez et al, 2010) and 73% by SCoT markers (Luo et al, 2010). The average PIC value obtained in this study was 0.764 which was higher than the average value reported by earlier studies (Surapaneni et al, 2013;Dillon et al, 2013;Ravishankar et al, 2011;Hirano et al, 2010 andSchnell et al, 2005). The markers having higher PIC values are considered highly prospective to reveal allelic variation.…”

Karakterisasi Keragaman Genetik 27 Genotipe Cabai Berdasarkan Marka SSR (Simple Sequence Repeat)

“…Salah satu teknologi marka molekuler yang dapat dikembangkan dan diaplikasikan dalam karakterisasi tanaman adalah marka SSR (Simple Sequence Repeat). SSR merupakan sekuen pendek (2 -4 nukleotida) berulang yang keberadaannya melimpah dalam genom organisme eukariotik (Ting et al, 2010), bersifat kodominan (Chiang et al, 2012;Surapaneni et al, 2013), serta mudah dalam aplikasinya (Prasetiyono dan Tasliah, 2004). Di luar negeri, marka SSR telah banyak digunakan untuk mengidentifikasi keragaman genetik plasma nutfah cabai (Kwon et al, 2005;Hanáček et al, 2009;Nicholai et al, 2013;Dhaliwal et al, 2014;Carvalho et al, 2015;Jiaowen et al, 2016;Wu et al, 2016;Pachecolvera et al, 2012).…”

Diversidad genética de Mangifera indica (Anacardiaceae) en Valencia, Córdoba, Colombia, usando marcadores microsatélites

“…Sin embargo, la determinación basada exclusivamente en caracteres morfológicos es inexacta debido a la influencia de los factores ambientales y al número limitado de caracteres distinguibles. De esta manera, la identificación molecular de los cultivares de mango se ha llevado a cabo con diferentes sistemas moleculares como isoenzimas (Degani et al, 1990;Aron et al, 1997), repeticiones en tándem de número variable (VNTR) (Adato et al, 1995;Krishna y Singh, 2007;Begum et al, 2012;Sennhenn et al, 2014;Wang et al, 2016), polimorfismos de longitud en fragmentos amplificados (AFLPs) (Eiadthong et al, 2000;Kashkush et al, 2001;Yamanaka et al, 2006;Santos et al, 2008;Gálvez-López et al, 2009), ADN polimórficos amplificados al azar (RAPDs) (Souza et al, 2011;Samal et al, 2012;Hossain et al, 2016;Pruthvish y Chikkaswamy, 2016;Galal et al, 2017) y repetición de secuencias discretas (SSRs) (Surapaneni et al, 2013;Ravishankar et al, 2015;Azmat et al, 2016;Bajpai et al, 2016;dos Santos Alves et al, 2016;Nazish et al, 2017). Los resultados revelan diferencias entre las accesiones de mango sin importar el sistema de marcador utilizado, su origen geográfico o su situación genética (cultivares, razas autóctonas o variedades).…”