LEADER 01205nam2-2200397---450- 001 990002178200203316 005 20050531164550.0 010 $a88-452-1130-4 035 $a000217820 035 $aUSA01000217820 035 $a(ALEPH)000217820USA01 035 $a000217820 100 $a20041116d2004----km-y0enga50------ba 101 $aita 102 $aIT 105 $ay|||z|||001yy 200 1 $a<<3.:>> Platone e l'accademia antica$fGiovanni Reale 210 $aMilano$cBompiani$d2004 215 $a516 p.$d21 cm 225 2 $aTascabili Bompiani 410 1$aTascabili Bompiani 461 1$1001000204926$12001$aStoria della filosofia greca e romana$fGiovanni Reale$v3 606 0 $aFilosofia greca$xStoria 606 0 $aFilosofia romana$xStoria 676 $a180 700 1$aREALE,$bGiovanni$0159977 801 0$aIT$bsalbc$gISBD 912 $a990002178200203316 951 $aII.1.A. 242/3(IV B 342/3)$b176144 L.M.$cIV B$d00137999 959 $aBK 969 $aUMA 979 $aCHIARA$b90$c20041116$lUSA01$h1256 979 $aCHIARA$b90$c20041116$lUSA01$h1257 979 $aCOPAT5$b90$c20050531$lUSA01$h1645 996 $aPlatone e l'accademia antica$91033736 997 $aUNISA LEADER 02237nam 2200373z- 450 001 9910220053503321 005 20231214133002.0 035 $a(CKB)3800000000216243 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/54590 035 $a(EXLCZ)993800000000216243 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNew Insights into Microbial Ecology through Subtle Nucleotide Variation 210 $cFrontiers Media SA$d2016 215 $a1 electronic resource (133 p.) 225 1 $aFrontiers Research Topics 311 $a2-88919-988-6 330 $aThe 16S ribosomal RNA gene commonly serves as a molecular marker for investigating microbial community composition and structure. Vast amounts of 16S rRNA amplicon data generated from environmental samples thanks to the recent advances in sequencing technologies allowed microbial ecologists to explore microbial community dynamics over temporal and spatial scales deeper than ever before. However, widely used methods for the analysis of bacterial communities generally ignore subtle nucleotide variations among high-throughput sequencing reads and often fail to resolve ecologically meaningful differences between closely related organisms in complex microbial datasets. Lack of proper partitioning of the sequencing data into relevant units often masks important ecological patterns. Our research topic contains articles that use oligotyping to demonstrate the importantance of high-resolution analyses of marker gene data, and providides further evidence why microbial ecologists should open the "black box" of OTUs identified through arbitrary sequence similarity thresholds. 610 $ahigh-resolution 610 $aoligotyping 610 $aMinimum Entropy Decomposition 610 $amicrobiome 610 $a16S rRNA gene 700 $aA. Murat Eren$4auth$01286185 702 $aMitchell Sogin$4auth 702 $aLois Maignien$4auth 906 $aBOOK 912 $a9910220053503321 996 $aNew Insights into Microbial Ecology through Subtle Nucleotide Variation$93019751 997 $aUNINA