Matches in SemOpenAlex for { <https://semopenalex.org/work/W2031313647> ?p ?o ?g. }
- W2031313647 endingPage "536" @default.
- W2031313647 startingPage "527" @default.
- W2031313647 abstract "Microbial eukaryotes in seawater samples collected from two depths (5 m and 500 m) at the USC Microbial Observatory off the coast of Southern California, USA, were characterized by cloning and sequencing of 18S rRNA genes, as well as DNA fragment analysis of these genes. The sequenced genes were assigned to operational taxonomic units (OTUs), and taxonomic information for the sequence-based OTUs was obtained by comparison to public sequence databases. The sequences were then subjected to in silico digestion to predict fragment sizes, and that information was compared to the results of the T-RFLP method applied to the same samples in order to provide taxonomic context for the environmental T-RFLP fragments. A total of 663 and 678 sequences were analyzed for the 5m and 500 m samples, respectively, which clustered into 157 OTUs and 183 OTUs. The sequences yielded substantially fewer taxonomic units as in silico fragment lengths (i.e., following in silico digestion), and the environmental T-RFLP resulted in the fewest unique OTUs (unique fragments). Bray-Curtis similarity analysis of protistan assemblages was greater using the T-RFLP dataset compared to the sequence-based OTU dataset, presumably due to the inability of the fragment method to differentiate some taxa and an inability to detect many rare taxa relative to the sequence-based approach. Nonetheless, fragments in our analysis generally represented the dominant sequence-based OTUs and putative identifications could be assigned to a majority of the fragments in the environmental T-RFLP results. Our empirical examination of the T-RFLP method identified limitations relative to sequence-based community analysis, but the relative ease and low cost of fragment analysis make this method a useful approach for characterizing the dominant taxa within complex assemblages of microbial eukaryotes in large datasets." @default.
- W2031313647 created "2016-06-24" @default.
- W2031313647 creator A5017033531 @default.
- W2031313647 creator A5046777101 @default.
- W2031313647 creator A5067265369 @default.
- W2031313647 creator A5071350371 @default.
- W2031313647 date "2012-12-01" @default.
- W2031313647 modified "2023-09-26" @default.
- W2031313647 title "A combined sequence-based and fragment-based characterization of microbial eukaryote assemblages provides taxonomic context for the Terminal Restriction Fragment Length Polymorphism (T-RFLP) method" @default.
- W2031313647 cites W1508306264 @default.
- W2031313647 cites W1587885775 @default.
- W2031313647 cites W1984232943 @default.
- W2031313647 cites W1988576020 @default.
- W2031313647 cites W1990483754 @default.
- W2031313647 cites W1997424630 @default.
- W2031313647 cites W1998340247 @default.
- W2031313647 cites W2003014351 @default.
- W2031313647 cites W2008350594 @default.
- W2031313647 cites W2024881434 @default.
- W2031313647 cites W2031274779 @default.
- W2031313647 cites W2031663221 @default.
- W2031313647 cites W2050606241 @default.
- W2031313647 cites W2053953174 @default.
- W2031313647 cites W2056321792 @default.
- W2031313647 cites W2056775843 @default.
- W2031313647 cites W2067033504 @default.
- W2031313647 cites W2074221879 @default.
- W2031313647 cites W2076586648 @default.
- W2031313647 cites W2078255664 @default.
- W2031313647 cites W2086219374 @default.
- W2031313647 cites W2091922579 @default.
- W2031313647 cites W2097312064 @default.
- W2031313647 cites W2097447734 @default.
- W2031313647 cites W2099949568 @default.
- W2031313647 cites W2104051102 @default.
- W2031313647 cites W2104884282 @default.
- W2031313647 cites W2105317669 @default.
- W2031313647 cites W2107287596 @default.
- W2031313647 cites W2108718991 @default.
- W2031313647 cites W2109939086 @default.
- W2031313647 cites W2114241047 @default.
- W2031313647 cites W2117556863 @default.
- W2031313647 cites W2118301410 @default.
- W2031313647 cites W2122460261 @default.
- W2031313647 cites W2123683849 @default.
- W2031313647 cites W2132088881 @default.
- W2031313647 cites W2134819723 @default.
- W2031313647 cites W2139338044 @default.
- W2031313647 cites W2143372515 @default.
- W2031313647 cites W2143461726 @default.
- W2031313647 cites W2143479270 @default.
- W2031313647 cites W2145166062 @default.
- W2031313647 cites W2150786892 @default.
- W2031313647 cites W2155162332 @default.
- W2031313647 cites W2158545096 @default.
- W2031313647 cites W2164869506 @default.
- W2031313647 cites W2170052798 @default.
- W2031313647 cites W2171020662 @default.
- W2031313647 cites W2171488330 @default.
- W2031313647 cites W4246840180 @default.
- W2031313647 cites W4249435950 @default.
- W2031313647 doi "https://doi.org/10.1016/j.mimet.2012.09.026" @default.
- W2031313647 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23041269" @default.
- W2031313647 hasPublicationYear "2012" @default.
- W2031313647 type Work @default.
- W2031313647 sameAs 2031313647 @default.
- W2031313647 citedByCount "12" @default.
- W2031313647 countsByYear W20313136472013 @default.
- W2031313647 countsByYear W20313136472014 @default.
- W2031313647 countsByYear W20313136472016 @default.
- W2031313647 countsByYear W20313136472017 @default.
- W2031313647 countsByYear W20313136472018 @default.
- W2031313647 countsByYear W20313136472019 @default.
- W2031313647 countsByYear W20313136472020 @default.
- W2031313647 countsByYear W20313136472021 @default.
- W2031313647 crossrefType "journal-article" @default.
- W2031313647 hasAuthorship W2031313647A5017033531 @default.
- W2031313647 hasAuthorship W2031313647A5046777101 @default.
- W2031313647 hasAuthorship W2031313647A5067265369 @default.
- W2031313647 hasAuthorship W2031313647A5071350371 @default.
- W2031313647 hasConcept C104317684 @default.
- W2031313647 hasConcept C151730666 @default.
- W2031313647 hasConcept C168007829 @default.
- W2031313647 hasConcept C171636592 @default.
- W2031313647 hasConcept C199360897 @default.
- W2031313647 hasConcept C2775905019 @default.
- W2031313647 hasConcept C2776235265 @default.
- W2031313647 hasConcept C2779343474 @default.
- W2031313647 hasConcept C41008148 @default.
- W2031313647 hasConcept C49105822 @default.
- W2031313647 hasConcept C54355233 @default.
- W2031313647 hasConcept C61053724 @default.
- W2031313647 hasConcept C78458016 @default.
- W2031313647 hasConcept C86803240 @default.
- W2031313647 hasConceptScore W2031313647C104317684 @default.
- W2031313647 hasConceptScore W2031313647C151730666 @default.
- W2031313647 hasConceptScore W2031313647C168007829 @default.
- W2031313647 hasConceptScore W2031313647C171636592 @default.