Assessment of genetic diversity in cultivars of white clover (Trifolium repens L.) detected by SSR polymorphisms

Genome ◽  
2006 ◽  
Vol 49 (8) ◽  
pp. 919-930 ◽  
Author(s):  
Julie George ◽  
Mark P Dobrowolski ◽  
Eline van Zijll de Jong ◽  
Noel O.I Cogan ◽  
Kevin F Smith ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Multidimensional Scaling ◽  
White Clover ◽  
Trifolium Repens ◽  
Simple Sequence Repeat ◽  
Nonmetric Multidimensional Scaling ◽  
Grass Species ◽  
Sequence Repeat ◽  
Trifolium Repens L ◽  
Simple Sequence

White clover (Trifolium repens L.) is an important temperate pasture legume that plays a key role as a companion to grass species, such as perennial ryegrass (Lolium perenne L.). Due to the outbreeding nature of white clover, cultivars are highly heterogeneous. Genetic diversity was assessed using 16 elite cultivars from Europe, North and South America, Australia, and New Zealand. Fifteen simple sequence repeat markers that detect single, codominant polymorphic genetic loci were selected for the study. The genetic relationships among individuals were compared using phenetic clustering, and those among cultivars were compared using nonmetric multidimensional scaling. Intrapopula tion variability exceeded interpopulation variability, with substantial overlap among populations and weak interpopula tion differentiation. No obvious or significant differentiation was observed on the basis of morphology or geographic origin of the cultivars. The number of parental genotypes used to derive each cultivar was not a major determinant of genome-wide genetic diversity. The outcomes of this assessment of genetic variation in elite white clover germplasm pools have important implications for the feasibility of molecular marker-based cultivar discrimination, and will be used to assist the design of linkage disequilibrium mapping strategies for marker-trait association.Key words: white clover, allotetraploid, genetic diversity, polymorphism, simple sequence repeat, cluster analysis, nonmetric multidimensional scaling.

Development and characterisation of simple sequence repeat (SSR) markers for white clover (Trifolium repens L.)

2001 ◽  
Vol 102 (2-3) ◽  
pp. 416-424 ◽  
Author(s):  
R. Kölliker ◽  
E. S. Jones ◽  
M. C. Drayton ◽  
M. P. Dupal ◽  
J. W. Forster
Keyword(s):  
Ssr Markers ◽  
White Clover ◽  
Trifolium Repens ◽  
Simple Sequence Repeat ◽  
Sequence Repeat ◽  
Trifolium Repens L ◽  
Simple Sequence

Implementing molecular marker technology in forage improvement

2003 ◽  
pp. 229-238
Author(s):  
M. Faville ◽  
B. Barrett ◽  
A. Griffiths ◽  
M. Schreiber ◽  
C. Mercer ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Genetic Variation ◽  
White Clover ◽  
Simple Sequence Repeat ◽  
Sequence Repeat ◽  
Linkage Groups ◽  
Seedling Vigour ◽  
Genome Map ◽  
Trait Locus ◽  
Simple Sequence

Accelerated improvement of two cornerstones of New Zealand's pastoral industries, per ennial ryegrass (Lolium perenne L.) and white clover (Trifolium repens L.), may be realised through the application of markerassisted selection (MAS) strategies to enhance traditional plant breeding programmes. Genome maps constructed using molecular markers represent the enabling technology for such strategies and we have assembled maps for each species using EST-SSR markers - simple sequence repeat (SSR) markers developed from expressed sequence tags (ESTs) representing genes. A comprehensive map of the white clover genome has been completed, with 464 EST-SSR and genomic SSR marker loci spanning 1125 cM in total, distributed across 16 linkage groups. These have been further classified into eight pairs of linkage groups, representing contributions from the diploid progenitors of this tetraploid species. In perennial ryegrass a genome map based exclusively on EST-SSR loci was constructed, with 130 loci currently mapped to seven linkage groups and covering a distance of 391 cM. This map continues to be expanded with the addition of ESTSSR loci, and markers are being concurrently transferred to other populations segregating for economically significant traits. We have initiated gene discovery through quantitative trait locus (QTL) analysis in both species, and the efficacy of the white clover map for this purpose was demonstrated with the initial identification of multiple QTL controlling seed yield and seedling vigour. One QTL on linkage group D2 accounts for 25.9% of the genetic variation for seed yield, and a putative QTL accounting for 12.7% of the genetic variation for seedling vigour was detected on linkage group E1. The application of MAS to forage breeding based on recurrent selection is discussed. Keywords: genome map, marker-assisted selection, perennial ryegrass, QTL, quantitative trait locus, SSR, simple sequence repeat, white clover

Genetic diversity of Symplocos paniculata of Hunan province revealed by inter-simple sequence repeat (ISSR)

2019 ◽  
Vol 51 (5) ◽  
Author(s):  
Huifang Cao ◽  
Qiang Lin ◽  
Peiwang Li ◽  
Jingzhen Chen ◽  
Changzhu Li ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Simple Sequence Repeat ◽  
Inter Simple Sequence Repeat ◽  
Hunan Province ◽  
Sequence Repeat ◽  
Simple Sequence

Genetic diversity assessments of brown rot pathogen Monilinia fructicola based on the six simple sequence repeat loci

2021 ◽  
Author(s):  
Hakan Guven ◽  
Sydney E. Everhart ◽  
Rita Milvia De Miccolis Angelini ◽  
Hilal Ozkilinc
Keyword(s):  
Genetic Diversity ◽  
Simple Sequence Repeat ◽  
Brown Rot ◽  
Monilinia Fructicola ◽  
Sequence Repeat ◽  
Simple Sequence

scholarly journals Assessment of the Genetic Diversity of Rice Germplasms Characterized by Black-Purple and Red Pericarp Color Using Simple Sequence Repeat Markers

Plants ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 471
Author(s):  
Jae-Ryoung Park ◽  
Won-Tae Yang ◽  
Yong-Sham Kwon ◽  
Hyeon-Nam Kim ◽  
Kyung-Min Kim ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Simple Sequence Repeat ◽  
Germplasm Collection ◽  
Group Method ◽  
Sequence Repeat ◽  
Rice Varieties ◽  
Red Pericarp ◽  
Simple Sequence ◽  
Colored Rice

The assessment of the genetic diversity within germplasm collections can be accomplished using simple sequence repeat (SSR) markers and association mapping techniques. The present study was conducted to evaluate the genetic diversity of a colored rice germplasm collection containing 376 black-purple rice samples and 172 red pericarp samples, conserved by Dong-A University. There were 600 pairs of SSR primers screened against 11 rice varieties. Sixteen informative primer pairs were selected, having high polymorphism information content (PIC) values, which were then used to assess the genetic diversity within the collection. A total of 409 polymorphic amplified fragments were obtained using the 16 SSR markers. The number of alleles per locus ranged from 11 to 47, with an average of 25.6. The average PIC value was 0.913, ranging from 0.855 to 0.964. Four hundred and nine SSR loci were used to calculate Jaccard’s distance coefficients, using the unweighted pair-group method with arithmetic mean cluster analysis. These accessions were separated into several distinctive groups corresponding to their morphology. The results provided valuable information for the colored rice breeding program and showed the importance of protecting germplasm resources and the molecular markers that can be derived from them.

scholarly journals Grass Hosts Harbor More Diverse Isolates of Puccinia striiformis Than Cereal Crops

2016 ◽  
Vol 106 (4) ◽  
pp. 362-371 ◽  
Author(s):  
P. Cheng ◽  
X. M. Chen ◽  
D. R. See
Keyword(s):  
Ssr Markers ◽  
Stripe Rust ◽  
Simple Sequence Repeat ◽  
Puccinia Striiformis ◽  
The United States ◽  
Grass Species ◽  
Cereal Crops ◽  
Sequence Repeat ◽  
Grass Hosts ◽  
Simple Sequence

Puccinia striiformis causes stripe rust on cereal crops and many grass species. However, it is not clear whether the stripe rust populations on grasses are able to infect cereal crops and how closely they are related to each other. In this study, 103 isolates collected from wheat, barley, triticale, rye, and grasses in the United States were characterized by virulence tests and simple sequence repeat (SSR) markers. Of 69 pathotypes identified, 41 were virulent on some differentials of wheat only, 10 were virulent on some differentials of barley only, and 18 were virulent on some differentials of both wheat and barley. These pathotypes were clustered into three groups: group one containing isolates from wheat, triticale, rye, and grasses; group two isolates were from barley and grasses; and group three isolates were from grasses and wheat. SSR markers identified 44 multilocus genotypes (MLGs) and clustered them into three major molecular groups (MG) with MLGs in MG3 further classified into three subgroups. Isolates from cereal crops were present in one or more of the major or subgroups, but not all, whereas grass isolates were present in all of the major and subgroups. The results indicate that grasses harbor more diverse isolates of P. striiformis than the cereals.

Sign in / Sign up

Export Citation Format

Share Document