scholarly journals A set of multiplex panels of microsatellite markers for rapid molecular characterization of rice accessions

2007 ◽  
Vol 7 (1) ◽  
pp. 23 ◽  
Author(s):  
Marco Pessoa-Filho ◽  
André Beló ◽  
António AN Alcochete ◽  
Paulo HN Rangel ◽  
Márcio E Ferreira
Keyword(s):  
Microsatellite Markers ◽  
Molecular Characterization

scholarly journals Microsatellite markers for identification of a group of italian olive accessions

2009 ◽  
Vol 66 (5) ◽  
pp. 685-690 ◽  
Author(s):  
Innocenzo Muzzalupo ◽  
Francesca Stefanizzi ◽  
Amelia Salimonti ◽  
Rosanna Falabella ◽  
Enzo Perri
Keyword(s):  
Microsatellite Markers ◽  
Molecular Characterization ◽  
Ssr Markers ◽  
Olea Europaea ◽  
Fruit Trees ◽  
Ssr Primers ◽  
Olive Cultivars ◽  
Olea Europaéa

Cultivar characterization for fruit trees certification requires fast, efficient and reliable techniques. Microsatellite markers (SSR) were used in the molecular characterization of 23 genotypes of Olea europaea subsp europaea. The DNA from the olive cultivars was analyzed using nine pre-selected SSR primers (GAPU59, GAPU71A, GAPU71B, GAPU103A, UDO99-01, UDO99-12, UDO99-28 and UDO99-39) and revealed 29 alleles, which allowed each genotype to be identified. In the dendrogram, the nine primers allowed the 23 olive genotypes to be grouped into subgroups corresponding to the same cultivar denominations. SSR markers proved to be efficient and reliable for the molecular characterization of Italian olive cultivars.

scholarly journals Molecular characterization of Lotus corniculatus cultivars using transferable microsatellite markers

2011 ◽  
Vol 38 (3) ◽  
pp. 453-461 ◽  
Author(s):  
Diego Alem ◽  
Rafael Narancio ◽  
Paola Díaz Dellavalle ◽  
Mónica Rebuffo ◽  
Rodrigo Zarza ◽  
...  
Keyword(s):  
Microsatellite Markers ◽  
Molecular Characterization ◽  
Lotus Corniculatus

Molecular Characterization of Rice Accessions Using Microsatellite Markers

2018 ◽  
Vol 31 (3) ◽  
pp. 310
Author(s):  
Anjali Toppo ◽  
NK Rastogi ◽  
AK Sarawgi ◽  
Ritu R Saxena
Keyword(s):  
Microsatellite Markers ◽  
Molecular Characterization

Molecular characterization of Pulikulam cattle using microsatellite markers

2015 ◽  
Vol 49 (1) ◽  
pp. 36
Author(s):  
A. Barani ◽  
P.S. Rahumathulla ◽  
R. Rajendran ◽  
P. Kumarasamy ◽  
P. Ganapathi ◽  
...  
Keyword(s):  
Microsatellite Markers ◽  
Molecular Characterization

Development of chloroplast-specific microsatellite markers for molecular characterization of alloplasmic lines and phylogenetic analysis in wheat

2013 ◽  
Vol 133 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Ram Sewak S. Tomar ◽  
Rupesh K. Deshmukh ◽  
Bhojaraja Naik K. ◽  
Shiv Mangal S. Tomar ◽  
Vinod
Keyword(s):  
Phylogenetic Analysis ◽  
Microsatellite Markers ◽  
Molecular Characterization ◽  
Alloplasmic Lines

Molecular characterization of camel breeds of Gujarat using microsatellite markers

2015 ◽  
Vol 181 ◽  
pp. 85-88 ◽  
Author(s):  
A.C. Patel ◽  
T.K. Jisha ◽  
Disha Upadhyay ◽  
Rakesh Parikh ◽  
Maulik Upadhyay ◽  
...  
Keyword(s):  
Microsatellite Markers ◽  
Molecular Characterization

scholarly journals Microsatellite markers for identification of Prunus spp. rootstocks

2004 ◽  
Vol 61 (3) ◽  
pp. 303-306 ◽  
Author(s):  
Valmor João Bianchi ◽  
Silviero Sansavini ◽  
José Carlos Fachinello
Keyword(s):  
Microsatellite Markers ◽  
Molecular Characterization ◽  
Correlation Coefficient ◽  
Fruit Trees ◽  
Cophenetic Correlation ◽  
Ssr Primers ◽  
Cophenetic Correlation Coefficient ◽  
High Degree ◽  
Prunus Spp

Cultivar characterization for fruit trees certification requires fast, efficient and reliable techniques. Microsatellite markers (SSR) were used in the molecular characterization of 29 Prunus spp. rootstocks. The DNA from the rootstocks was analyzed using five pre-selected SSR primers (UDP96-005, UDP96-008, UDP96-013, UDP96-18 and UDP98-414) and revealed 81 alleles, which allowed each genotype to be identified. The UDP96-005 marker generated the most information, i.e., 23 well-distributed, polymorphic alleles among all genotypes. The 21 polymorphisms produced by UDP96-013 occurred mainly as a result of high degree of variability among genotypes of the Prunophora subgenus. In the dendrogram, the five markers allowed the 29 rootstocks to be grouped into subgroups corresponding to the subgenus they belong to, either Prunophora or Amygdalus. Suitable cophenetic correlation coefficient (r=0.82) and good bootstrapping fitting value among the Prunophora subgroup cultivars were obtained. SSR markers proved to be efficient and reliable for the molecular characterization of Prunus spp. rootostocks.

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