scholarly journals AFLP Analysis of Genetic Diversity in Three Populations of Ayu Plecoglossus altivelis

1999 ◽  
Vol 65 (6) ◽  
pp. 888-892 ◽  
Author(s):  
Shingo Seki ◽  
Jeremy J. Agresti ◽  
G. A. E. Gall ◽  
Nobuhiko Taniguchi ◽  
Bernie May
2007 ◽  
Vol 114 (4) ◽  
pp. 263-267 ◽  
Author(s):  
H. Ayanoğlu ◽  
S. Bayazit ◽  
G. İnan ◽  
M. Bakır ◽  
A.E. Akpınar ◽  
...  

2006 ◽  
Vol 54 (6) ◽  
pp. 1197-1209 ◽  
Author(s):  
Jinggui Fang ◽  
Chih-Cheng T. Chao ◽  
Philip A. Roberts ◽  
Jeffrey D. Ehlers

2017 ◽  
Vol 138 ◽  
pp. 1-7 ◽  
Author(s):  
Jian Sun ◽  
Huimin Xu ◽  
Renchao Zhou ◽  
Qiang Fan ◽  
Kaikai Meng ◽  
...  

Genome ◽  
2003 ◽  
Vol 46 (1) ◽  
pp. 51-58 ◽  
Author(s):  
A Segovia-Lerma ◽  
R G Cantrell ◽  
J M Conway ◽  
I M Ray

Improving commercial utilization of perennial Medicago collections requires developing approaches that can rapidly and accurately characterize genetic diversity among large numbers of populations. This study evaluated the potential of using amplified fragment length polymorphism (AFLP) DNA markers, in combination with DNA bulking over multiple genotypes, as a strategy for high-throughput characterization of genetic distances (D) among alfalfa (Medicago sativa L.) accessions. Bulked DNA templates from 30 genotypes within each of nine well-recognized germplasms (African, Chilean, Flemish, Indian, Ladak, Medicago sativa subsp. falcata, Medicago sativa subsp. varia, Peruvian, and Turkistan) were evaluated using 34 primer combinations. A total of 3754 fragments were identified, of which 1541 were polymorphic. The number of polymorphic fragments detected per primer combination ranged from 20 to 85. Pairwise D estimates among the nine germplasms ranged from 0.52 to 1.46 with M. sativa subsp. falcata being the most genetically dissimilar. Unweighted pair-group method arithmetic average (UPGMA) analysis of the marker data produced two main clusters, (i) M. sativa subsp. sativa and M. sativa subsp. varia, and (ii) M. sativa subsp. falcata. Cluster-analysis results and D estimates among the Chilean, Peruvian, Flemish, and M. sativa subsp. varia germplasms supported the hypothesis that Peruvian was more similar to original Spanish introductions into Central and South America than Chilean. Hierarchical arrangement of the nine germplasms was supported by their respective geographic, subspecific, and intersubspecific hybrid origins. Subsets of as few as seven highly informative primer pairs were identified that produced comparable D estimates and similar heirarchical arrangements compared with the complete dataset. The results indicate that use of primer-pair subsets for AFLP analysis of bulk DNA templates could serve as a high-throughput system for accurately characterizing genetic diversity among large numbers of alfalfa populations.Key words: Medicago sativa, DNA bulking, genetic distance.


2008 ◽  
Vol 133 (4) ◽  
pp. 587-592 ◽  
Author(s):  
Joseph C. Kuhl ◽  
Veronica L. DeBoer

The genus Rheum L., commonly known as rhubarb, is composed of ≈60 species, primarily distributed throughout northern and central Asia. Rhubarb species have been used for medicinal purposes for thousands of years; however, it was not until the 18th century that the culinary use of petioles was first reported. Although the origin(s) of culinary rhubarb is not clear, it is thought that they originated from hybridization of rhubarb species originally brought to Europe for medicinal purposes. Most rhubarb cultivars lack pedigree information, and the genetic relationship among cultivars is largely unknown. Amplified fragment length polymorphism (AFLP) markers were generated for fingerprint analysis of 37 cultivars and four putative Rheum species accessions. Ten EcoRI and MseI primer combinations were analyzed for a total of 1400 scored polymorphisms, with an average of 140 polymorphisms per primer combination. Results show at least two clusters of related cultivars, as well as distantly related accessions. This study provides an estimate of rhubarb cultivar genetic diversity using AFLP analysis.


2005 ◽  
Vol 153 (10) ◽  
pp. 569-578 ◽  
Author(s):  
L. Leisova ◽  
V. Minarikova ◽  
L. Kucera ◽  
J. Ovesna

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