Conserved Nonexonic Elements: A Novel Class of Marker for Phylogenomics.
Conserved Nonexonic Elements: A Novel Class of Marker for Phylogenomics.
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DOI:
10.1093/sysbio/syx058
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发表时间:
2017-11-01
影响因子:
6.5
通讯作者:
Baker AJ
中科院分区:
文献类型:
--
作者:
Edwards SV;Cloutier A;Baker AJ
Noncoding markers have a particular appeal as tools for phylogenomic analysis because, at least in vertebrates, they appear less subject to strong variation in GC content among lineages. Thus far, ultraconserved elements (UCEs) and introns have been the most widely used noncoding markers. Here we analyze and study the evolutionary properties of a new type of noncoding marker, conserved nonexonic elements (CNEEs), which consists of noncoding elements that are estimated to evolve slower than the neutral rate across a set of species. Although they often include UCEs, CNEEs are distinct from UCEs because they are not ultraconserved, and, most importantly, the core region alone is analyzed, rather than both the core and its flanking regions. Using a data set of 16 birds plus an alligator outgroup, and 3600–3800 loci per marker type, we found that although CNEEs were less variable than bioinformatically derived UCEs or introns and in some cases exhibited a slower approach to branch resolution as determined by phylogenomic subsampling, the quality of CNEE alignments was superior to those of the other markers, with fewer gaps and missing species. Phylogenetic resolution using coalescent approaches was comparable among the three marker types, with most nodes being fully and congruently resolved. Comparison of phylogenetic results across the three marker types indicated that one branch, the sister group to the passerine falcon clade, was resolved differently and with moderate (70%) bootstrap support between CNEEs and UCEs or introns. Overall, CNEEs appear to be promising as phylogenomic markers, yielding phylogenetic resolution as high as for UCEs and introns but with fewer gaps, less ambiguity in alignments and with patterns of nucleotide substitution more consistent with the assumptions of commonly used methods of phylogenetic analysis.
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影响因子:
3.3
作者:
Burbrink, Frank T.;Pyron, R. Alexander
通讯作者:
Pyron, R. Alexander
影响因子:
2.7
作者:
Borowiec ML
通讯作者:
Borowiec ML
DOI:
10.1126/science.1254449
发表时间:
2014-12-12
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Green RE;Braun EL;Armstrong J;Earl D;Nguyen N;Hickey G;Vandewege MW;St John JA;Capella-Gutiérrez S;Castoe TA;Kern C;Fujita MK;Opazo JC;Jurka J;Kojima KK;Caballero J;Hubley RM;Smit AF;Platt RN;Lavoie CA;Ramakodi MP;Finger JW Jr;Suh A;Isberg SR;Miles L;Chong AY;Jaratlerdsiri W;Gongora J;Moran C;Iriarte A;McCormack J;Burgess SC;Edwards SV;Lyons E;Williams C;Breen M;Howard JT;Gresham CR;Peterson DG;Schmitz J;Pollock DD;Haussler D;Triplett EW;Zhang G;Irie N;Jarvis ED;Brochu CA;Schmidt CJ;McCarthy FM;Faircloth BC;Hoffmann FG;Glenn TC;Gabaldón T;Paten B;Ray DA
通讯作者:
Ray DA
影响因子:
10.7
作者:
Groussin, Mathieu;Hobbs, Joanne K.;Gouy, Manolo
通讯作者:
Gouy, Manolo
DOI:
10.1093/bioinformatics/btp348
发表时间:
2009-08-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Capella-Gutiérrez S;Silla-Martínez JM;Gabaldón T
通讯作者:
Gabaldón T