Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022199462> ?p ?o ?g. }
- W2022199462 abstract "Researchers conducting molecular phylogenetic studies are frequently faced with the decision of what to do when weak branch support is obtained for key nodes of importance. As one solution, the researcher may choose to sequence additional orthologous genes of appropriate evolutionary rate for the taxa in the study. However, generating large, complete data matrices can become increasingly difficult as the number of characters increases. A few empirical studies have shown that augmenting genes even for a subset of taxa can improve branch support. However, because each study differs in the number of characters and taxa, there is still a need for additional studies that examine whether incomplete sampling designs are likely to aid at increasing deep node resolution. We target Gracillariidae, a Cretaceous-age (~100 Ma) group of leaf-mining moths to test whether the strategy of adding genes for a subset of taxa can improve branch support for deep nodes. We initially sequenced ten genes (8,418 bp) for 57 taxa that represent the major lineages of Gracillariidae plus outgroups. After finding that many deep divergences remained weakly supported, we sequenced eleven additional genes (6,375 bp) for a 27-taxon subset. We then compared results from different data sets to assess whether one sampling design can be favored over another. The concatenated data set comprising all genes and all taxa and three other data sets of different taxon and gene sub-sampling design were analyzed with maximum likelihood. Each data set was subject to five different models and partitioning schemes of non-synonymous and synonymous changes. Statistical significance of non-monophyly was examined with the Approximately Unbiased (AU) test. Partial augmentation of genes led to high support for deep divergences, especially when non-synonymous changes were analyzed alone. Increasing the number of taxa without an increase in number of characters led to lower bootstrap support; increasing the number of characters without increasing the number of taxa generally increased bootstrap support. More than three-quarters of nodes were supported with bootstrap values greater than 80% when all taxa and genes were combined. Gracillariidae, Lithocolletinae + Leucanthiza, and Acrocercops and Parectopa groups were strongly supported in nearly every analysis. Gracillaria group was well supported in some analyses, but less so in others. We find strong evidence for the exclusion of Douglasiidae from Gracillarioidea sensu Davis and Robinson (1998). Our results strongly support the monophyly of a G.B.R.Y. clade, a group comprised of Gracillariidae + Bucculatricidae + Roeslerstammiidae + Yponomeutidae, when analyzed with non-synonymous changes only, but this group was frequently split when synonymous and non-synonymous substitutions were analyzed together. 1) Partially or fully augmenting a data set with more characters increased bootstrap support for particular deep nodes, and this increase was dramatic when non-synonymous changes were analyzed alone. Thus, the addition of sites that have low levels of saturation and compositional heterogeneity can greatly improve results. 2) Gracillarioidea, as defined by Davis and Robinson (1998), clearly do not include Douglasiidae, and changes to current classification will be required. 3) Gracillariidae were monophyletic in all analyses conducted, and nearly all species can be placed into one of six strongly supported clades though relationships among these remain unclear. 4) The difficulty in determining the phylogenetic placement of Bucculatricidae is probably attributable to compositional heterogeneity at the third codon position. From our tests for compositional heterogeneity and strong bootstrap values obtained when synonymous changes are excluded, we tentatively conclude that Bucculatricidae is closely related to Gracillariidae + Roeslerstammiidae + Yponomeutidae." @default.
- W2022199462 created "2016-06-24" @default.
- W2022199462 creator A5011331177 @default.
- W2022199462 creator A5027248991 @default.
- W2022199462 creator A5034391578 @default.
- W2022199462 creator A5036224704 @default.
- W2022199462 creator A5037796468 @default.
- W2022199462 creator A5047027778 @default.
- W2022199462 creator A5064599341 @default.
- W2022199462 creator A5067884449 @default.
- W2022199462 creator A5079703075 @default.
- W2022199462 creator A5084057969 @default.
- W2022199462 date "2011-06-24" @default.
- W2022199462 modified "2023-09-24" @default.
- W2022199462 title "Increased gene sampling strengthens support for higher-level groups within leaf-mining moths and relatives (Lepidoptera: Gracillariidae)" @default.
- W2022199462 cites W1491709863 @default.
- W2022199462 cites W1583062272 @default.
- W2022199462 cites W1963503271 @default.
- W2022199462 cites W1963957860 @default.
- W2022199462 cites W1971295618 @default.
- W2022199462 cites W1974739739 @default.
- W2022199462 cites W1978392002 @default.
- W2022199462 cites W1991683481 @default.
- W2022199462 cites W2010879590 @default.
- W2022199462 cites W2013331939 @default.
- W2022199462 cites W2015880499 @default.
- W2022199462 cites W2023897009 @default.
- W2022199462 cites W2028942402 @default.
- W2022199462 cites W2062178985 @default.
- W2022199462 cites W2063334626 @default.
- W2022199462 cites W2068225247 @default.
- W2022199462 cites W2078385117 @default.
- W2022199462 cites W2093223670 @default.
- W2022199462 cites W2096394845 @default.
- W2022199462 cites W2096641211 @default.
- W2022199462 cites W2110892500 @default.
- W2022199462 cites W2110932235 @default.
- W2022199462 cites W2113540348 @default.
- W2022199462 cites W2114035821 @default.
- W2022199462 cites W2117688872 @default.
- W2022199462 cites W2119900532 @default.
- W2022199462 cites W2120294494 @default.
- W2022199462 cites W2120611093 @default.
- W2022199462 cites W2123870269 @default.
- W2022199462 cites W2124790653 @default.
- W2022199462 cites W2125534810 @default.
- W2022199462 cites W2126487146 @default.
- W2022199462 cites W2128701823 @default.
- W2022199462 cites W2132691104 @default.
- W2022199462 cites W2133326259 @default.
- W2022199462 cites W2134038527 @default.
- W2022199462 cites W2141506506 @default.
- W2022199462 cites W2142831232 @default.
- W2022199462 cites W2148185408 @default.
- W2022199462 cites W2148560957 @default.
- W2022199462 cites W2150270014 @default.
- W2022199462 cites W2155008783 @default.
- W2022199462 cites W2155913339 @default.
- W2022199462 cites W2156235708 @default.
- W2022199462 cites W2156524622 @default.
- W2022199462 cites W2159369446 @default.
- W2022199462 cites W2159957100 @default.
- W2022199462 cites W2161372151 @default.
- W2022199462 cites W2167770609 @default.
- W2022199462 cites W2169286917 @default.
- W2022199462 cites W2175135640 @default.
- W2022199462 cites W2179416129 @default.
- W2022199462 cites W2184417979 @default.
- W2022199462 cites W2334471351 @default.
- W2022199462 cites W4247332402 @default.
- W2022199462 doi "https://doi.org/10.1186/1471-2148-11-182" @default.
- W2022199462 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3145599" @default.
- W2022199462 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21702958" @default.
- W2022199462 hasPublicationYear "2011" @default.
- W2022199462 type Work @default.
- W2022199462 sameAs 2022199462 @default.
- W2022199462 citedByCount "50" @default.
- W2022199462 countsByYear W20221994622012 @default.
- W2022199462 countsByYear W20221994622013 @default.
- W2022199462 countsByYear W20221994622014 @default.
- W2022199462 countsByYear W20221994622015 @default.
- W2022199462 countsByYear W20221994622016 @default.
- W2022199462 countsByYear W20221994622017 @default.
- W2022199462 countsByYear W20221994622018 @default.
- W2022199462 countsByYear W20221994622019 @default.
- W2022199462 countsByYear W20221994622020 @default.
- W2022199462 countsByYear W20221994622021 @default.
- W2022199462 countsByYear W20221994622022 @default.
- W2022199462 countsByYear W20221994622023 @default.
- W2022199462 crossrefType "journal-article" @default.
- W2022199462 hasAuthorship W2022199462A5011331177 @default.
- W2022199462 hasAuthorship W2022199462A5027248991 @default.
- W2022199462 hasAuthorship W2022199462A5034391578 @default.
- W2022199462 hasAuthorship W2022199462A5036224704 @default.
- W2022199462 hasAuthorship W2022199462A5037796468 @default.
- W2022199462 hasAuthorship W2022199462A5047027778 @default.
- W2022199462 hasAuthorship W2022199462A5064599341 @default.
- W2022199462 hasAuthorship W2022199462A5067884449 @default.
- W2022199462 hasAuthorship W2022199462A5079703075 @default.
- W2022199462 hasAuthorship W2022199462A5084057969 @default.