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The complete mitochondrial genome of an Antarctic moss Syntrichia filaris (Mull.Hal.) R.H. Zander

Cited 5 time in wos
Cited 5 time in scopus
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dc.contributor.authorYoon, Young-Jun-
dc.contributor.authorKang, Yoonjee-
dc.contributor.authorKim, Mi-Kyeong-
dc.contributor.authorLee, Jungeun-
dc.contributor.authorPark, Hyun-
dc.contributor.authorKim, Ji Hee-
dc.contributor.authorLee, Hyoungseok-
dc.coverage.spatialBarton Peninsula-
dc.coverage.spatialKing Sejong Station-
dc.date.accessioned2017-08-03T12:09:33Z-
dc.date.available2017-08-03T12:09:33Z-
dc.date.issued2015-
dc.description.abstractThe mitogenome of the Syntrichia filaris (GenBank accession number KP984758) has a total length of 106,343 bp and consists of 40 protein-coding genes, 3 ribosomal RNA (rRNA) and 24 transfer RNA. The mitochondrial structure and gene order was similar to other Bryophytes. Phylogenetic tree based on the combined analysis of amino acid sequences of 31 mitochondrial genes common in S. filaris, 17 Bryophyta and 3 Marchantiophyta, was well congruent with traditional species relationship of the moss order Pottiales.-
dc.languageEnglish-
dc.subjectGenetics & Heredity-
dc.titleThe complete mitochondrial genome of an Antarctic moss Syntrichia filaris (Mull.Hal.) R.H. Zander-
dc.typeArticle-
dc.identifier.bibliographicCitationYoon, Young-Jun, et al. 2015. "The complete mitochondrial genome of an Antarctic moss Syntrichia filaris (Mull.Hal.) R.H. Zander". <em>Mitochondrial DNA Part A</em>, 27(4): 2779-2780.-
dc.citation.titleMitochondrial DNA Part A-
dc.citation.volume27-
dc.citation.number4-
dc.citation.page2779-2780-
dc.identifier.doi10.3109/19401736.2015.1053062-
dc.coverage.x62 °14'29''S-
dc.coverage.y58°44'18''W-
dc.subject.keywordAntarctic moss-
dc.subject.keywordMitochondrial genome-
dc.subject.keywordSyntrichia filaris-
dc.coverage.degreeX-62.2413888888889-
dc.coverage.degreeY-58.7383333333333-
dc.identifier.scopusid2-s2.0-85008422908-
dc.identifier.wosid000377956300174-
Appears in Collections  
2014-2016, Long-Term Ecological Researches on King George Island to Predict Ecosystem Responses to Climate Change (14-16) / Hong; Soon Gyu
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