Development and characterization of 35 single nucleotide polymorphism markers for the brown algaFucus vesiculosus

Autor:	Fernando Cánovas, Ester A. Serrão, Jeanine L. Olsen, Catarina Mota, Joana Ferreira-Costa, Gareth Pearson, Jim Coyer
Přispěvatelé:	Olsen lab
Rok vydání:	2011
Předmět:	Linkage disequilibrium LINKAGE DISEQUILIBRIUM Phaeophyceae CONSERVATION expressed sequence tag selection Fucus vesiculosus Single-nucleotide polymorphism MassARRAY (R) Plant Science phylogeography Aquatic Science WHITE SPRUCE single nucleotide polymorphism SNP SNP genetic marker fucoid algae SNPS Genetics Expressed sequence tag Genetic diversity biology MATING SYSTEM biology.organism_classification Single-base extension EVOLUTION Fucus POPULATION DIFFERENTIATION GENETIC DIVERSITY SPIRALIS
Zdroj:	European Journal of Phycology, 46(4), 342-351
ISSN:	1469-4433 0967-0262
DOI:	10.1080/09670262.2011.617473
Popis:	We characterized 35 single nucleotide polymorphism (SNP) markers for the brown alga Fucus vesiculosus. Based on existing Fucus Expressed Sequence Tag libraries for heat and desiccation-stressed tissue, SNPs were developed and confirmed by re-sequencing cDNA from a diverse panel of individuals. SNP loci were genotyped using the SEQUENOM (R) single base extension iPLEXTM system for multiplex assays on the MassARRAY (R) platform, which uses matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to discriminate allele-specific products. The SNP markers showed a wide range of variability among 16 populations from the south-west of the UK, northern Portugal and Morocco. The analysis of the information provided by these markers will be useful for studying population structure, historical demography and phylogeography of F. vesiculosus. They can also be used for the identification of genes and/or linked genomic regions potentially subject to selection in response to abiotic stressors like temperature extremes and desiccation intensity that vary across habitats and geographical range.
Databáze:	OpenAIRE
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