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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004094naa a2200481 4500
001oai:DiVA.org:uu-207313
003SwePub
008130912s2010 | |||||||||||000 ||eng|
009oai:slubar.slu.se:59988
024a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-2073132 URI
024a https://doi.org/10.1186/1471-2164-11-1882 DOI
024a https://res.slu.se/id/publ/599882 URI
040 a (SwePub)uud (SwePub)slu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Childs, Liam H4 aut
2451 0a Single feature polymorphism (SFP)-based selective sweep identification and association mapping of growth-related metabolic traits in Arabidopsis thaliana.
264 1b Springer Science and Business Media LLC,c 2010
338 a print2 rdacarrier
520 a BACKGROUND: Natural accessions of Arabidopsis thaliana are characterized by a high level of phenotypic variation that can be used to investigate the extent and mode of selection on the primary metabolic traits. A collection of 54 A. thaliana natural accession-derived lines were subjected to deep genotyping through Single Feature Polymorphism (SFP) detection via genomic DNA hybridization to Arabidopsis Tiling 1.0 Arrays for the detection of selective sweeps, and identification of associations between sweep regions and growth-related metabolic traits.RESULTS: A total of 1,072,557 high-quality SFPs were detected and indications for 3,943 deletions and 1,007 duplications were obtained. A significantly lower than expected SFP frequency was observed in protein-, rRNA-, and tRNA-coding regions and in non-repetitive intergenic regions, while pseudogenes, transposons, and non-coding RNA genes are enriched with SFPs. Gene families involved in plant defence or in signalling were identified as highly polymorphic, while several other families including transcription factors are depleted of SFPs. 198 significant associations between metabolic genes and 9 metabolic and growth-related phenotypic traits were detected with annotation hinting at the nature of the relationship. Five significant selective sweep regions were also detected of which one associated significantly with a metabolic trait.CONCLUSIONS: We generated a high density polymorphism map for 54 A. thaliana accessions that highlights the variability of resistance genes across geographic ranges and used it to identify selective sweeps and associations between metabolic genes and metabolic phenotypes. Several associations show a clear biological relationship, while many remain requiring further investigation.
650 7a NATURVETENSKAPx Biologix Evolutionsbiologi0 (SwePub)106152 hsv//swe
650 7a NATURAL SCIENCESx Biological Sciencesx Evolutionary Biology0 (SwePub)106152 hsv//eng
650 7a NATURVETENSKAPx Biologix Genetik0 (SwePub)106092 hsv//swe
650 7a NATURAL SCIENCESx Biological Sciencesx Genetics0 (SwePub)106092 hsv//eng
650 7a NATURVETENSKAPx Biologix Botanik0 (SwePub)106072 hsv//swe
650 7a NATURAL SCIENCESx Biological Sciencesx Botany0 (SwePub)106072 hsv//eng
700a Witucka-Wall, Hanna4 aut
700a Günther, Torsten4 aut
700a Sulpice, Ronan4 aut
700a Korff, Maria V4 aut
700a Stitt, Mark4 aut
700a Walther, Dirk4 aut
700a Schmid, Karlu Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för växtbiologi,Department of Plant Biology4 aut0 (Swepub:slu)49773
700a Altmann, Thomas4 aut
710a Sveriges lantbruksuniversitetb Institutionen för växtbiologi4 org
710a Sveriges lantbruksuniversitet
773t BMC Genomicsd : Springer Science and Business Media LLCg 11, s. 188-q 11<188-x 1471-2164
856u https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/1471-2164-11-188
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-207313
8564 8u https://doi.org/10.1186/1471-2164-11-188
8564 8u https://res.slu.se/id/publ/59988

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