Development and incorporation of microsatellite markers into the linkage map of sugar beet (Beta vulgaris spp.)

Rae, S.J.; Aldam, C.; Domı́nguez, I.; Hoebrechts, M.; Barnes, Steve; Edwards, K. J.

doi:10.1007/s001220051430

Cited by 39 publications

(34 citation statements)

References 34 publications

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“…SSR detection is capable of automation, allowing highthroughput genotyping and map construction (Mitchell et al 1997). SSR-based linkage maps have been constructed for a range of important crops such as rice (Chen et al 1999), potato (Milbourne et al 1998), sugar beet (Rae et al 2000), sorghum (Kong et al 2000), maize (Taramino and Tingey 1996) and wheat (Röder et al 1998;Stephenson et al 1998). SSR map development in forage species has so far only been reported for alfalfa (Diwan et al 2000).…”

Section: Introductionmentioning

confidence: 99%

An SSR-based genetic linkage map for perennial ryegrass (Lolium perenne L.)

et al. 2002

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A simple sequence repeat (SSR)-based linkage map has been constructed for perennial ryegrass ( Lolium perenne L.) using a one-way pseudo-testcross reference population. A total of 309 unique perennial ryegrass SSR (LPSSR) primer pairs showing efficient amplification were evaluated for genetic polymorphism, with 31% detecting segregating alleles. Ninety-three loci have been assigned to positions on seven linkage groups. The majority of the mapped loci are derived from cloned sequences containing (CA)(n)-type dinucleotide SSR arrays. A small number (7%) of primer pairs amplified fragments that mapped to more than one locus. The SSR locus data has been integrated with selected data for RFLP, AFLP and other loci mapped in the same population to produce a composite map containing 258 loci. The SSR loci cover 54% of the genetic map and show significant clustering around putative centromeric regions. BLASTN and BLASTX analysis of the sequences flanking mapped SSRs indicated that a majority (84%) are derived from non-genic sequences, with a small proportion corresponding to either known repetitive DNA sequence families or predicted genes. The mapped LPSSR loci provide the basis for linkage group assignment across multiple mapping populations.

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Section: Introductionmentioning

confidence: 99%

An SSR-based genetic linkage map for perennial ryegrass (Lolium perenne L.)

et al. 2002

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“…In particular, significant advances on dissecting genetic important traits were achieved through the construction of high density genetic linkage maps in B. vulgaris that integrate different marker types, for gene mapping and cloning, and development of markers for breeding assistance [e.g. [31][32][33][34][35]. As an example, resistance to the beet cyst nematode (Heterodera schachtii Schmidt), a major pest in the cultivation of sugar beet, has been one of the most coveted agronomic traits retrieved from the wild relatives, that lacking in cultivated Beta species, could be found in the wild species P. patellaris and related species P. procumbens and P. webbiana (GP3).…”

Section: Advances In Molecular Research Towards Sugar Beet Breedingmentioning

confidence: 99%

Biodiversity Assessment of Sugar Beet Species and Its Wild Relatives: Linking Ecological Data with New Genetic Approaches

Monteiro¹,

Romeiras²,

Batista³

et al. 2013

AJPS

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The value of crop wild relatives has long been acknowledged and this wild resource has been used to improve crop performance with clear economic benefits. Sugar beet (Beta vulgaris subsp. vulgaris) is the most economically valuable crop species in the order Caryophyllales, B. vulgaris subsp. maritima being the ancestor of the cultivated beets. The wild species of the genus Beta s.l. are commonly found in coastal areas of Europe and Mediterranean Region, where a rich genetic heritage still exists. Broadening the genetic base of sugar beet by introgression with wild relatives is a growing need regarding the maintenance of ecologically important traits. Since wild relatives have adapted to specific habitats, they constitute an important source of novel traits for the beet breeding pool. So, we conducted a broader research project aiming to delimit taxa and identify priority locations to establish genetic reserves of the wild Beta species occurring in Portugal (Western Iberian Peninsula). The aim of this study was: 1) to identify and characterize the main habitats of these wild Beta species; and 2) to present a review of some genetic tools available for future application in sugar beet breeding. In this review, we have focused on EcoTILLING as a molecular tool to assess DNA polymerphisms in wild populations of Beta and identify candidate genes related to drought and salt tolerance, as well as addressed some issues related to next-generation sequencing (NGS) technologies as a new molecular tool to assess adaptive genetic variation on the wild relatives of sugar beet.

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“…DNA marker systems such as RFLP (Restriction Fragment Length Polymorphism), RAPD (Random Amplified Polymorphic DNA) and AFLP (Amplified Fragment Length Polymorphism) were used in sugar beet in early and mid-90s (Jung et al, 1993;Barzen et al, 1995;Schondelmaier et al, 1996). Linkage maps and QTL mapping based on RAPD, AFLP, SNP (Single Nucleotide Polymorphisms) and microsatellites / SSR (Simple Sequence Repeat) markers were also attempted (Möhring et al, 2005;Grimmer et al, 2007;Rae et al, 2000;Schneider et al, 2007). CAPS marker (Cleaved Amplified Polymorphic Sequences) associated with root-knot nematode resistance in sugar beet (Weiland and Yu, 2003), mitochondrial DNA and SSR polymorphism for genetic diversity (Virad et al, 2002), comparison of marker systems viz.…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity of sugar beet genotypes evaluated by microsatellite DNA markers

Srivastava¹,

Pathak²,

Kumar³

et al. 2017

JEB

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Aim: Methodology:Results: Interpretation:Identification of diverse sugar beet (Beta vulgaris L.) genotypes is essential for using them as parents in sugar beet improvement programme of India. Hence, genetic variation and diversity of elite sugar beet germplasm collection was analysed using microsatellite markers.Genomic DNA of thirteen genotypes was amplified using 14 microsatellite primers containing dinucleotide to compound repeat motifs. Amplified bands were scored on gel, transformed into a binary character matrix and analyzed through NTSYS software for clustering in heterotic groups.A total of 243 amplicons were resolved and grouped into 88 alleles of distinct molecular weight ranging from 124 to 1222 bp with an average of 17.36 amplicons/primer, 4 to10 alleles/SSR locus and moderate to high PIC ranging from 0.625-0.851. Similarity coefficients ( S M ) b a s e d o n t h e presence/absence of alleles ranged from 0.47 to 0.89 (mean value of 0.65). UPGMA dendrogram based on SM, grouped these genotypes in two major taxonomical groups with five clusters having one, four, three, three and two genotypes each. Clustering pattern of UPGMA matched with the 2D and 3D scatter plots of MDS and PCA. The highly significant cophenetic coefficient of r = 0.96 proved that these SSR markers efficiently analyzed the genetic relationships of sugar beet genotypes.Microsatellite markers can be used as a potential cost effective method for exploring molecular genetic diversity in sugar beet in order to obtain new genetic combinations.

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Development and incorporation of microsatellite markers into the linkage map of sugar beet (Beta vulgaris spp.)

Cited by 39 publications

References 34 publications

An SSR-based genetic linkage map for perennial ryegrass (Lolium perenne L.)

An SSR-based genetic linkage map for perennial ryegrass (Lolium perenne L.)

Biodiversity Assessment of Sugar Beet Species and Its Wild Relatives: Linking Ecological Data with New Genetic Approaches

Genetic diversity of sugar beet genotypes evaluated by microsatellite DNA markers

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