A rapid, simple method for the genetic discrimination of intact Arabidopsis thaliana mutant seeds using metabolic profiling by direct analysis in real-time mass spectrometry

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dc.contributor.authorSuk Weon Kim-
dc.contributor.authorH J Kim-
dc.contributor.authorJong Hyun Kim-
dc.contributor.authorY K Kwon-
dc.contributor.authorM S Ahn-
dc.contributor.authorY P Jang-
dc.contributor.authorJang Ryol Liu-
dc.date.accessioned2017-04-19T09:25:23Z-
dc.date.available2017-04-19T09:25:23Z-
dc.date.issued2011-
dc.identifier.issn1746-4811-
dc.identifier.uri10.1186/1746-4811-7-14ko
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/10323-
dc.description.abstractBackground: Efficient high throughput screening systems of useful mutants are prerequisite for study of plant functional genomics and lots of application fields. Advance in such screening tools, thanks to the development of analytic instruments. Direct analysis in real-time (DART)-mass spectrometry (MS) by ionization of complex materials at atmospheric pressure is a rapid, simple, high-resolution analytical technique. Here we describe a rapid, simple method for the genetic discrimination of intact Arabidopsis thaliana mutant seeds using metabolic profiling by DART-MS.Results: To determine whether this DART-MS combined by multivariate analysis can perform genetic discrimination based on global metabolic profiling, intact Arabidopsis thaliana mutant seeds were subjected to DART-MS without any sample preparation. Partial least squares-discriminant analysis (PLS-DA) of DART-MS spectral data from intact seeds classified 14 different lines of seeds into two distinct groups: Columbia (Col-0) and Landsberg erecta (Ler) ecotype backgrounds. A hierarchical dendrogram based on partial least squares-discriminant analysis (PLS-DA) subdivided the Col-0 ecotype into two groups: mutant lines harboring defects in the phenylpropanoid biosynthetic pathway and mutants without these defects. These results indicated that metabolic profiling with DART-MS could discriminate intact Arabidopsis seeds at least ecotype level and metabolic pathway level within same ecotype.Conclusion: The described DART-MS combined by multivariate analysis allows for rapid screening and metabolic characterization of lots of Arabidopsis mutant seeds without complex metabolic preparation steps. Moreover, potential novel metabolic markers can be detected and used to clarify the genetic relationship between Arabidopsis cultivars. Furthermore this technique can be applied to predict the novel gene function of metabolic mutants regardless of morphological phenotypes.-
dc.publisherSpringer-BMC-
dc.titleA rapid, simple method for the genetic discrimination of intact Arabidopsis thaliana mutant seeds using metabolic profiling by direct analysis in real-time mass spectrometry-
dc.title.alternativeA rapid, simple method for the genetic discrimination of intact Arabidopsis thaliana mutant seeds using metabolic profiling by direct analysis in real-time mass spectrometry-
dc.typeArticle-
dc.citation.titlePlant Methods-
dc.citation.number0-
dc.citation.endPage14-
dc.citation.startPage14-
dc.citation.volume7-
dc.contributor.affiliatedAuthorSuk Weon Kim-
dc.contributor.affiliatedAuthorJong Hyun Kim-
dc.contributor.affiliatedAuthorJang Ryol Liu-
dc.contributor.alternativeName김석원-
dc.contributor.alternativeName김혜진-
dc.contributor.alternativeName김종현-
dc.contributor.alternativeName권용국-
dc.contributor.alternativeName안명숙-
dc.contributor.alternativeName장영표-
dc.contributor.alternativeName유장렬-
dc.identifier.bibliographicCitationPlant Methods, vol. 7, pp. 14-14-
dc.identifier.doi10.1186/1746-4811-7-14-
dc.subject.keywordArabidopsis thaliana-
dc.subject.keywordDirect analysis in real-time mass spectrometry (DART-MS)-
dc.subject.keywordPartial least squares-discriminant analysis (PLS-DA)-
dc.subject.keywordSeed-
dc.subject.localArabidopsis thaliana-
dc.subject.localDirect analysis in real-time mass spectrometry (DART-MS)-
dc.subject.localPartial least square discriminant analysis (PLS-DA)-
dc.subject.localPartial least squares discriminant analysis (PLS-DA)-
dc.subject.localPartial least squares-discriminant analysis (PLS-DA)-
dc.subject.localseed-
dc.subject.localseeds-
dc.subject.localSeed-
dc.subject.localSeeds-
dc.description.journalClassY-
Appears in Collections:
Jeonbuk Branch Institute > Biological Resource Center > 1. Journal Articles
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