Genetic relationships of Brassica vegetables determined using database derived simple sequence repeats

Tonguç, Muhammet; Griffiths, Phillip D.

doi:10.1023/b:euph.0000041577.84388.43

Cited by 51 publications

(48 citation statements)

References 27 publications

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“…This resulted in unique SSR fingerprints and thereby efficient separation of 51 of the 59 B. oleracea cultivars investigated. These results are in agreement with results obtained by Tonguç and Griffiths (2004), who used 13 SSR primer pairs with similar PIC values to differentiate 49 out of 54 cultivars of broccoli, cabbage and cauliflower.…”

Section: Discussionsupporting

confidence: 91%

“…These, and also the other sets of undifferentiated cultivars differed phenotypically, for instance in plant height (broccoli) and flowering time (cauliflower 'Himchuli' and 'Baltimore') when grown under greenhouse conditions. Tonguç and Griffiths (2004) similarly noted that some cauliflower cultivars from the same seed suppliers were undifferentiated in their study.…”

Section: Discussionmentioning

confidence: 71%

“…Two cultivars of cauliflower, 'Snow Mystique' and 'Fremont', and broccoli 'Marathon' and 'Fiesta' participated in both our and Tonguç and Griffiths (2004) study, and were separated in both studies, although the studies only overlapped with the use of one SSR. Tonguç and Griffiths (2004) and our study included an SSR ((aag) 5 ) derived from the same genebank accession, AF051772.…”

Section: Discussionmentioning

confidence: 99%

“…This development is facilitated by formation of public sequence databases, which may be searched for SSR containing sequences to generate new specific markers (Lagercrantz et al 1993;Morgante and Olivieri 1993;Wang et al 1994;Becker and Heun 1995;Smulders et al 1997). Recently, the genetic relationship between cultivars of three botanical varieties of B. oleracea (broccoli, cauliflower and cabbage), was studied using database derived SSRs (Tonguç and Griffiths 2004 (Temnykh et al 2001) with search criteria set to at least five repeats of SSR motifs of maximum five bases. Fifty of the identified microsatellite containing sequences were selected, and flanking primer sets were designed online using the software Primer 3.0 (http://frodo.wi.mit.edu/cgi-bin/primer3/primer3_www.cgi) (Rozen and Skaletsky 2000).…”

Section: Introductionmentioning

confidence: 99%

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Database derived microsatellite markers (SSRs) for cultivar differentiation in Brassica oleracea

Louarn¹,

Torp²,

Holme³

et al. 2007

Genet Resour Crop Evol

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Fifty-nine Brassica oleracea cultivars, belonging to five botanical varieties, were evaluated for microsatellite (SSR) polymorphisms using 11 database sequence derived primer pairs. The cultivars represented 12 broccoli (Brassica oleracea var. italica), ten Brussels sprouts (B. o. var. gemmifera), 21 cabbage (B. o. var. capitata, including the groups white and red cabbage), six savoy cabbage (B. o. var. sabauda), and ten cauliflower (B. o. var. botrytis) cultivars from 13 seed suppliers. The 11 primer pairs amplified in total 47 fragments, and differentiated 51 of the cultivars, whereas the remaining eight cultivars were differentiated from the rest in four inseparable pairs. All SSR markers, except one, produced a polymorphic information content (PIC value) of 0.5 or above. The average diversity for all markers within the tested material was 0.64.There was no major difference in the diversity within botanical varieties and groups. The cluster analysis and the resulting dendrogram showed that the cultivars tended to group within these taxonomic units. The present study substantiates the use of microsatellite markers as a powerful tool for cultivar differentiation and identification in vegetable brassicas.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 71%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Database derived microsatellite markers (SSRs) for cultivar differentiation in Brassica oleracea

Louarn¹,

Torp²,

Holme³

et al. 2007

Genet Resour Crop Evol

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show abstract

“…In Brassica, SSRs have been valuable tools, and numerous SSR primer sequences are already publicly available (Snowdon and Friedt 2004). SSRs have been used in Brassica research for such topics as seed-coat color mapping (Padmaja et al 2005), varietal identification (Tonguç and Griffiths 2004), and analysis of variation in plant populations and germplasm collections (Raybould et al 1999;Westman and Kresovich 1999). It was also reported that a set of SSRs were able to identify groups of annual and biennial types of B. napus elite lines (Plieske and Struss 2001;Tommasini et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Characterization of flowering time and SSR marker analysis of spring and winter type Brassica napus L. germplasm

et al. 2006

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Flowering dates and life forms of all available Brassica napus accessions conserved at the North Central Regional Plant Introduction Station (NCRPIS) were characterized, and a survey of molecular variation was conducted by using simple sequence repeats (SSR) in order to support better management of accessions with diverse life forms. To characterize flowering phenology, 598 B. napus accessions from the NCRPIS collection were planted in Iowa and Kansas field sites together with a current commercial cultivar and observed for days to flowering (first, 50% and 100% flowering) in 2003. Days from planting to 50% flowering ranged from 34 to 83 in Iowa and from 53 to 89 in Kansas. The mean accumulated growing degree days (GDD) to 50% flowering were 1,997 in Iowa, and 2,106 in Kansas. Between locations, the correlation in flowering time (r = 0.42) and the correlation in computed GDD (r = 0.40) were both significant. Differences in flowering-time rank were observed for several accessions. Accessions that failed to flower in Iowa in a single growing season comprised 28.5% of the accessions; of the flowering accessions, 100% plant flowering was not always achieved. Accessions were grouped according to flowering time. A stratified sample of 50 accessions was selected from these groups, including 10 non-flowering and 40 flowering accessions of diverse geographic origins and phenological variation. The flowering time observed in the sampled accessions when grown in the greenhouse were found to be significantly correlated to the flowering time observed in the field locations in Iowa (r = 0.79) and Kansas (r = 0.49). Thirty SSR markers, selected across 18 Brassica linkage groups from BrassicaDB, and 3 derived from Brassica expressed sequence tags (ESTs) were scored in the stratified sample. An average of three bands per SSR primer pair was observed.Associations of SSR marker fragments with the life forms were determined. Analysis of molecular variation by using cluster analysis and ordination resulted in recognizable, distinct groups of annual and biennial life-form types, which may have direct applications for planning and management of future seed regenerations.

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The Genetics of Brassica oleracea

Quirós

Farnham

2010

Genetics and Genomics of the Brassicaceae

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Genetic relationships of Brassica vegetables determined using database derived simple sequence repeats

Cited by 51 publications

References 27 publications

Database derived microsatellite markers (SSRs) for cultivar differentiation in Brassica oleracea

Database derived microsatellite markers (SSRs) for cultivar differentiation in Brassica oleracea

Characterization of flowering time and SSR marker analysis of spring and winter type Brassica napus L. germplasm

The Genetics of Brassica oleracea

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