Diversity Arrays Technology (DArT) Markers for Genetic Diversity

Author(s):  
Dariusz Grzebelus
2007 ◽  
Vol 58 (12) ◽  
pp. 1174 ◽  
Author(s):  
B. J. Stodart ◽  
M. C. Mackay ◽  
H. Raman

Diversity Arrays Technology (DArT™) was evaluated as a tool for determining molecular diversity of wheat landraces held within the Australian Winter Cereals Collection (AWCC). Initially, a set of 44 wheat landraces was evaluated with 256 DArT markers. The dataset was compared with the results obtained using 16 amplified fragment length polymorphism (AFLP) primer combinations and 63 simple sequence repeat (SSR) markers, mapped on the 21 chromosomes, from a previous study. The DArT markers exhibited a strong positive correlation with AFLP and SSR, with each marker type distinguishing similar relationships among the 44 landrace accessions. The DArT markers exhibited a higher polymorphic information content than AFLP, and were comparable with that obtained with SSR. Three hundred and fifty-five DArT markers were then used to evaluate genetic diversity among 705 wheat landrace accessions from within the AWCC, chosen to represent 5 world regions. DArT analysis was capable of distinguishing accessions from different geographic regions, and suggested that accessions originating from Nepal represent a unique gene pool within the collection. A statistical resampling of DArT loci indicated that 10–20 loci were enough to distinguish the maximum molecular diversity present within the collection. This research demonstrates the efficacy of the DArT platform as a tool for efficient examination of wheat diversity. As an ex situ germplasm repository, the AWCC contains wheat accessions of high genetic diversity, from genetically differentiated collection sites, even though diversity was under-represented in some countries represented in the repository.


Crop Science ◽  
2013 ◽  
Vol 53 (6) ◽  
pp. 2363-2373 ◽  
Author(s):  
Ibrahim El-basyoni ◽  
P. Stephen Baenziger ◽  
Ismail Dweikat ◽  
Dong Wang ◽  
Kent Eskridge ◽  
...  

BMC Genetics ◽  
2011 ◽  
Vol 12 (1) ◽  
pp. 42 ◽  
Author(s):  
LiYi Zhang ◽  
DongCheng Liu ◽  
XiaoLi Guo ◽  
WenLong Yang ◽  
JiaZhu Sun ◽  
...  

Genes ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1451
Author(s):  
Kodjo M. Gbedevi ◽  
Ousmane Boukar ◽  
Haruki Ishikawa ◽  
Ayodeji Abe ◽  
Patrick O. Ongom ◽  
...  

Crop genetic diversity is a sine qua non for continuous progress in the development of improved varieties, hence the need for germplasm collection, conservation and characterization. Over the years, cowpea has contributed immensely to the nutrition and economic life of the people in Togo. However, the bulk of varieties grown by farmers are landraces due to the absence of any serious genetic improvement activity on cowpea in the country. In this study, the genetic diversity and population structure of 255 cowpea accessions collected from five administrative regions and the agricultural research institute of Togo were assessed using 4600 informative diversity array technology (DArT) markers. Among the regions, the polymorphic information content (PIC) ranged from 0.19 to 0.27 with a mean value of 0.25. The expected heterozygosity (He) varied from 0.22 to 0.34 with a mean value of 0.31, while the observed heterozygosity (Ho) varied from 0.03 to 0.07 with an average of 0.05. The average inbreeding coefficient (FIS) varied from 0.78 to 0.89 with a mean value of 0.83, suggesting that most of the accessions are inbred. Cluster analysis and population structure identified four groups with each comprising accessions from the six different sources. Weak to moderate differentiation was observed among the populations with a genetic differentiation index varying from 0.014 to 0.117. Variation was highest (78%) among accessions within populations and lowest between populations (7%). These results revealed a moderate level of diversity among the Togo cowpea germplasm. The findings of this study constitute a foundation for genetic improvement of cowpea in Togo.


Genome ◽  
2006 ◽  
Vol 49 (5) ◽  
pp. 545-555 ◽  
Author(s):  
Kassa Semagn ◽  
Åsmund Bjørnstad ◽  
Helge Skinnes ◽  
Anne Guri Marøy ◽  
Yalew Tarkegne ◽  
...  

A genetic linkage mapping study was conducted in 93 doubled-haploid lines derived from a cross between Triticum aestivum L. em. Thell 'Arina' and a Norwegian spring wheat breeding line, NK93604, using diversity arrays technology (DArT), amplified fragment length polymorphism (AFLP), and simple sequence repeat (SSR) markers. The objective of this study was to understand the distribution, redundancy, and segregation distortion of DArT markers in comparison with AFLP and SSR markers. The map contains a total of 624 markers with 189 DArTs, 165 AFLPs and 270 SSRs, and spans 2595.5 cM. All 3 marker types showed significant (p < 0.01) segregation distortion, but it was higher for AFLPs (24.2%) and SSRs (22.6%) than for DArTs (13.8%). The overall segregation distortion was 20.4%. DArTs showed the highest frequency of clustering (27.0%) at < 0.5 cM intervals between consecutive markers, which is 3 and 15 times higher than SSRs (8.9%) and AFLPs (1.8%), respectively. This high proportion of clustering of DArT markers may be indicative of gene-rich regions and (or) the result of inclusion of redundant clones in the genomic representations, which was supported by the presence of very high correlation coefficients (r > 0.98) and multicollinearity among the clustered markers. The present study is the first to compare the utility of DArT with AFLP and SSR markers, and the present map has been successfully used to identify novel QTLs for resistance to Fusarium head blight and powdery mildew and for anther extrusion, leaf segment incubation, and latency.Key words: 'Arina', diversity arrays technology, double haploid, genetic map, marker clustering, microsatellite.


2011 ◽  
Vol 90 (1) ◽  
pp. 103-109 ◽  
Author(s):  
SHI YING YANG ◽  
RACHIT K. SAXENA ◽  
PAWAN L. KULWAL ◽  
GAVIN J. ASH ◽  
ANUJA DUBEY ◽  
...  

2011 ◽  
Vol 29 (3) ◽  
pp. 645-660 ◽  
Author(s):  
Henk J. Schouten ◽  
W. Eric van de Weg ◽  
Jason Carling ◽  
Sabaz Ali Khan ◽  
Steven J. McKay ◽  
...  

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