Assessment of genetic diversity in Brassica juncea (Brassicaceae) genotypes using phenotypic differences and SSR markers
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Universidad de Costa Rica
2013
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| _version_ | 1876479472736141312 |
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| author | Vinu V. |
| author_facet | Vinu V. |
| contents | Assessment of genetic diversity in Brassica juncea (Brassicaceae) genotypes using phenotypic differences and SSR markers Vinu V. Naveen Singh Sujata Vasudev Devendra Kumar Yadava Sushil Kumar Sugandh Naresh Sripad Ramachandra Bhat Kumble Vinod Prabhu Biología SSR markers Brassica juncea genetic diversity quantitative traits Brassica mustard species represent one of the most important oilseed crops in India, nevertheless, their genetic diversity is barely known. A better understanding on this topic is essential for the proper utilization of genotypes in breeding programmes. We evaluated the genetic diversity among 44 Indian mustard (Brassica juncea) genotypes including varieties/purelines from different agro-climatic zones of India and few exotic genotypes (Australia, Poland and China). For this, we used A and B genome spe- cific SSR markers and phenotypic data on 12 yield and yield contributing traits. Out of the 143 primers tested, 134 reported polymorphism and a total of 355 alleles were amplified. Dendrograms based on Jaccard’s similar- ity coefficients and Manhattan dissimilarity coefficients were generated based on an average linkage algorithm (UPGMA) using marker data and phenotypic data. Genotypes were grouped into four clusters based on genetic distances. Both the clustering patterns based on Jaccard’s similarity and Manhattan dissimilarity coefficients, independently, discriminated the genotypes effectively as per their pedigree and origin. PCoA revealed that, the grouping of genotypes based on SSR marker data is more convincing than phenotypic data, however, the correlation between phenotypic and genetic distance matrices was observed to be very low (r=0.11). Hence, for diversity studies reliability on molecular markers is worth proving and SSR markers are the stronger tools than quantitative traits in discriminating B. juncea genotypes. Rev. Biol. Trop. 61 (4): 1919-1934. Epub 2013 December 01. 2013 artículo científico 0034-7744 https://www.redalyc.org/articulo.oa?id=44930117027 en http://www.redalyc.org/revista.oa?id=449 Revista de Biología Tropical application/pdf Universidad de Costa Rica Revista de Biología Tropical (Costa Rica) Num.4 Vol.61 |
| format | Artículo científico |
| id | redalyc_44930117027 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Universidad de Costa Rica |
| spellingShingle | Assessment of genetic diversity in Brassica juncea (Brassicaceae) genotypes using phenotypic differences and SSR markers Vinu V. Biología SSR markers Brassica juncea genetic diversity quantitative traits Assessment of genetic diversity in Brassica juncea (Brassicaceae) genotypes using phenotypic differences and SSR markers Vinu V. Naveen Singh Sujata Vasudev Devendra Kumar Yadava Sushil Kumar Sugandh Naresh Sripad Ramachandra Bhat Kumble Vinod Prabhu Biología SSR markers Brassica juncea genetic diversity quantitative traits Brassica mustard species represent one of the most important oilseed crops in India, nevertheless, their genetic diversity is barely known. A better understanding on this topic is essential for the proper utilization of genotypes in breeding programmes. We evaluated the genetic diversity among 44 Indian mustard (Brassica juncea) genotypes including varieties/purelines from different agro-climatic zones of India and few exotic genotypes (Australia, Poland and China). For this, we used A and B genome spe- cific SSR markers and phenotypic data on 12 yield and yield contributing traits. Out of the 143 primers tested, 134 reported polymorphism and a total of 355 alleles were amplified. Dendrograms based on Jaccard’s similar- ity coefficients and Manhattan dissimilarity coefficients were generated based on an average linkage algorithm (UPGMA) using marker data and phenotypic data. Genotypes were grouped into four clusters based on genetic distances. Both the clustering patterns based on Jaccard’s similarity and Manhattan dissimilarity coefficients, independently, discriminated the genotypes effectively as per their pedigree and origin. PCoA revealed that, the grouping of genotypes based on SSR marker data is more convincing than phenotypic data, however, the correlation between phenotypic and genetic distance matrices was observed to be very low (r=0.11). Hence, for diversity studies reliability on molecular markers is worth proving and SSR markers are the stronger tools than quantitative traits in discriminating B. juncea genotypes. Rev. Biol. Trop. 61 (4): 1919-1934. Epub 2013 December 01. 2013 artículo científico 0034-7744 https://www.redalyc.org/articulo.oa?id=44930117027 en http://www.redalyc.org/revista.oa?id=449 Revista de Biología Tropical application/pdf Universidad de Costa Rica Revista de Biología Tropical (Costa Rica) Num.4 Vol.61 |
| title | Assessment of genetic diversity in Brassica juncea (Brassicaceae) genotypes using phenotypic differences and SSR markers |
| topic | Biología SSR markers Brassica juncea genetic diversity quantitative traits |
| url | https://www.redalyc.org/articulo.oa?id=44930117027 |