Fingerprinting, embryo type and geographic differentiation in mango (Mangifera indica L., Anacardiaceae) with microsatellites

Viruel, M. A.; Escribano, Pilar; Barbieri, Matteo; Ferri, Morena; Hormaza, J. I.

doi:10.1007/s11032-004-7982-x

Cited by 113 publications

(103 citation statements)

References 23 publications

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“…The large amplitude (0.07-0.94; average 0.36) of the genetic similarity coefficients established in the present study confirms the occurrence of considerable genetic variability among M. indica cultivars, as previously observed in other RAPD analyses (Karihaloo et al, 2003;Viruel et al, 2005;Rajwana et al, 2008). However, the variation amplitude presently determined was larger than that reported by Karihaloo and co-workers (2003) for Indian mango cultivars (range 0.32-0.75; average 0.56), and by Rajwana and co-workers (2008) for 25 mango cultivars developed in Pakistan (range 0.64-0.89; average 0.74).…”

Section: Discussionsupporting

confidence: 91%

“…There are numerous examples of the application of molecular markers in the analysis of the genetic diversity of mango (Viruel et al, 2005;Pandit et al, 2007;Santos et al, 2008;Singh and Bhat, 2009;Gálvez-López et al, 2009;Singh et al, 2010), several of which have employed the RAPD technique (Karihaloo et al, 2003;Ravishankar et al, 2004;Souza and Lima, 2004;Srivastava et al, 2004;Rajwana et al, 2008;Faleiro et al, 2009). RAPD markers have also been utilized in identifying genitors of open-pollinated mango hybrids generated by the Embrapa Cerrados Plant Improvement Program (Cordeiro et al, 2006a), and in determining the genetic origin of plantlets from polyembryonic mango seeds of cultivar Rosinha (Cor-deiro et al, 2006b).…”

Section: Introductionmentioning

confidence: 99%

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RAPD analysis of the genetic diversity of mango (Mangifera indica) germplasm in Brazil

Souza

Valente²,

Britto³

et al. 2011

Genet. Mol. Res.

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ABSTRACT. We evaluated genetic variability of mango (Mangifera indica) accessions maintained in the Active Germplasm Bank of Embrapa Meio-Norte in Teresina, Piauí, Brazil, using RAPDs. Among these accessions, 35 originated from plantings in Brazil, six from the USA and one from India. Genomic DNA, extracted from leaf material using a commercial purification kit, was subjected to PCR with the primers A01, A09, G03, G10, N05, and M16. Fifty-five polymorphic loci were identified, with mean of 9.16 ± 3.31 bands per primer and 100% polymorphism. Application of unweighted pair group method using arithmetic average cluster analysis demonstrated five genotypic groups among the accessions examined. The genotypes Rosa 41, Rosa 48 and Rosa 49 were highly similar (94% similarity), whereas genotypes Sensation and Rosa 18 were the most divergent (only 7% similarity). The mango accessions were found to have considerable genetic variability, RAPD analysis of the genetic diversity of mango germplasm demonstrating the importance of analyzing each genotype in a collection in order to efficiently maintain the germplasm collection.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

RAPD analysis of the genetic diversity of mango (Mangifera indica) germplasm in Brazil

Souza

Valente²,

Britto³

et al. 2011

Genet. Mol. Res.

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“…The potential of SSR markers in fingerprinting is well established in mango (Viruel et al, 2005;Shareefa, 2008). Unique fingerprints are genotype and marker specific alleles that may serve as indicators of a particular region of the genome specific to a parti-cular trait of horticultural importance.…”

Section: Resultsmentioning

confidence: 99%

“…Precise characterization of genetic variation at the molecular level is possible using DNA based markers. Different molecular marker, such as randomly amplified polymorphic DNA (RAPDs) (Bajpai et al, 2008), amplified fragments length polymorphism (AFLP) (Eiadthong et al, 2000), inter-simple sequence repeats (Pandit et al, 2007) and simple sequence repeats (Duval et al, 2005;Schnell et al, 2006;Viruel et al, 2005) have been employed for genetic diversity assessment in mango cultivars. SSR have gained considerable importance in genetic studies Kumar et al 6569 owing to their desirable attributes such as hyper-variability, multiallelic nature, co-dominant inheritance and reproducibility.…”

mentioning

confidence: 99%

Molecular characterization of ten mango cultivars using simple sequences repeat (SSR) markers

Kumar¹,

Ponnuswami²,

Nagarajan³

et al. 2013

Afr. J. Biotechnol.

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Simple sequence repeats (SSRs) which is an efficient genetic markers for comparative genome mapping can be helpful in the classification of genotypes, germplasm resource utilization and breeding programmes. Therefore, the present study was conducted to show genetic variation and investigate inter-relationship between ten mango genotypes. Twenty (20) SSR markers were tested with 10 genotypes: Kalepad, Neelum, Swarnarekha, Alphonso Rumani, Sendura, Banganapalli, Himayuddin, Mulgoa and Bangalora. The genomic DNA was extracted from the leaf samples using cetyltrimethyl ammonium bromide (CTAB) method. Polymerase chain reaction (PCR) amplification of the DNA isolated from 10 mango genotypes with 20 SSR primers produced a total of 240 amplified products, of which 184 were polymorphic and 56 monomorphic. The sizes of the alleles detected ranged from 120 to 369 bp. SSR markers were highly polymorphic with an average of 2.70 alleles per primers. SSRs gave moderate values of polymorphic information content (PIC) range of 0.320 to 0.774. The amplified products varied between 2 (LMMA 1, 5, 7, 12, 16, MiSHRS-1 and MiSHRS-37) to 3 and 4 (LMMA 4, 6, 9, 10, 11, 13, 14, 15 MiSHRS-4, 48, 18, 39 and LMMA 8) bands per primer. We obtained moderate degree of genetic diversity, with Jaccard's similarity co-efficient values ranging from 0.075 between cluster I and II to 0.285 between clusters II and III. The dendrogram generated from the unweighted pair group arithmetic average (UPGMA) cluster analysis broadly placed 10 mango cultivars into three major clusters at co-efficient similarity of 0.65. The cluster size varied from 1 to 6 and cluster III was the largest cluster comprising of six cultivars followed by cluster II possessing three and cluster I possessing one variety. Cluster I had the highest diverse cultivars namely, Kalepad, Neelum and Swarnarekha. Cluster II included cultivar of Alphonso. Cluster III contain the cultivars viz., Rumani, Sendura, Bangnapalli, Himayuddin, Mulgoa and Bangalora. Unique fingerprints were identified in the cultivars. The unique fingerprints size ranged from LMMA-8 (257-270 bp), LMMA-11 (232-245 bp) to MiSHRS 39 (340-369 bp). The tendency of clustering among mango cultivars revealed that they have strong affinity towards further breeding programme.

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“…Countries such as India, China, Thailand, Mexico, Pakistan, and Indonesia are responsible for more than 75% of world mango production, with India constituting approximately 40% of this production (Viruel et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Allelic database and accession divergence of a Brazilian mango collection based on microsatellite markers

Ribeiro

Neto²,

Santos³

2012

Genet. Mol. Res.

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ABSTRACT. Allelic patterns and genetic distances were examined in a collection of 103 foreign and Brazilian mango (Mangifera indica) accessions in order to develop a reference database to support cultivar protection and breeding programs. An UPGMA dendrogram was generated using Jaccard's coefficients from a distance matrix based on 50 alleles of 12 microsatellite loci. The base pair number was estimated by the method of inverse mobility. The cophenetic correlation was 0.8. The accessions had a coefficient of similarity from 30 to 100%, which reflects high genetic variability. Three groups were observed in the UPGMA dendrogram; the first group was formed predominantly by foreign accessions, the second group was formed by Brazilian accessions, and the Dashehari accession was isolated from the others. The 50 microsatellite alleles did not separate all 103 accessions, indicating that there are duplicates in this mango collection. These 12 microsatellites need to be validated in order to establish a reliable set to identify mango cultivars.

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Fingerprinting, embryo type and geographic differentiation in mango (Mangifera indica L., Anacardiaceae) with microsatellites

Cited by 113 publications

References 23 publications

RAPD analysis of the genetic diversity of mango (Mangifera indica) germplasm in Brazil

RAPD analysis of the genetic diversity of mango (Mangifera indica) germplasm in Brazil

Molecular characterization of ten mango cultivars using simple sequences repeat (SSR) markers

Allelic database and accession divergence of a Brazilian mango collection based on microsatellite markers

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