The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Target enrichment of ultraconserved elements from arthropods provides a genomic perspective on relationships among Hymenoptera
Open accessAbstract
Gaining a genomic perspective on phylogeny requires the collection of data from many putatively independent loci across the genome. Among insects, an increasingly common approach to collecting this class of data involves transcriptome sequencing, because few insects have high‐quality genome sequences available; assembling new genomes remains a limiting factor; the transcribed portion of the genome is a reasonable, reduced subset of the genome to target; and the data collected from transcribed portions of the genome are similar in composition to the types of data with which biologists have traditionally worked (e.g. exons). However, molecular techniques requiring RNA as a template, including transcriptome sequencing, are limited to using very high‐quality source materials, which are often unavailable from a large proportion of biologically important insect samples. Recent research suggests that DNA‐based target enrichment of conserved genomic elements offers another path to collecting phylogenomic data across insect taxa, provided that conserved elements are present in and can be collected from insect genomes. Here, we identify a large set (n = 1510) of ultraconserved elements (UCE s) shared among the insect order Hymenoptera. We used in silico analyses to show that these loci accurately reconstruct relationships among genome‐enabled hymenoptera, and we designed a set of RNA baits (n = 2749) for enriching these loci that researchers can use with DNA templates extracted from a variety of sources. We used our UCE bait set to enrich an average of 721 UCE loci from 30 hymenopteran taxa, and we used these UCE loci to reconstruct phylogenetic relationships spanning very old (≥220 Ma) to very young (≤1 Ma) divergences among hymenopteran lineages. In contrast to a recent study addressing hymenopteran phylogeny using transcriptome data, we found ants to be sister to all remaining aculeate lineages with complete support, although this result could be explained by factors such as taxon sampling. We discuss this approach and our results in the context of elucidating the evolutionary history of one of the most diverse and speciose animal orders.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895
Full-length transcriptome assembly from RNA-Seq data without a reference genome
Grabherr, M. G., Haas, B. J., Yassour, M., Levin, J. Z., Thompson, D. A., Amit, I., Adiconis, X., Fan, L., Raychowdhury, R., Zeng, Q., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.1883 · Cited by 21,039
RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
Stamatakis, A. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl446 · Cited by 15,582
trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses
Capella-Gutiérrez, S., Silla-Martínez, J. M., & Gabaldón, T. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp348 · Cited by 12,751
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R., Garimella, K. V., Maguire, J. R., Hartl, C., Philippakis, A. A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,456
Primer3—new capabilities and interfaces
Untergasser, A., Cutcutache, I., Koressaar, T., Ye, J., Faircloth, B. C., Remm, M., & Rozen, S. G. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks596 · Cited by 9,461
Self-citationVan der Auwera, G. A., Carneiro, M. O., Hartl, C., Poplin, R., del Angel, G., Levy‐Moonshine, A., Jordan, T., Shakir, K., Roazen, D., Thibault, J., et al. (2013) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi1110s43 · Cited by 6,687
MAFFT version 5: improvement in accuracy of multiple sequence alignment
Katoh, K. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki198 · Cited by 4,837
Cited by
Branstetter, M. G., Longino, J. T., Ward, P. S., & Faircloth, B. C. (2017) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12742 · Cited by 308
Self-citationChakrabarty, P., Faircloth, B. C., Alda, F., Ludt, W. B., Mcmahan, C. D., Near, T. J., Dornburg, A., Albert, J. S., Arroyave, J., Stiassny, M. L. J., et al. (2017) · Systematic Biology · doi:10.1093/sysbio/syx038 · Cited by 103
Self-citationKocot, K. M. (2016) · Organisms Diversity & Evolution · doi:10.1007/s13127-015-0261-3 · Cited by 59
Hruska, J. P., Holmes, J., Oliveros, C., Shakya, S., Lavretsky, P., McCracken, K. G., Sheldon, F. H., & Moyle, R. G. (2023) · Ornithology · doi:10.1093/ornithology/ukad005 · Cited by 37
Metadata
- Authors
- Faircloth, B. C., Branstetter, M. G., White, N. D., & Brady, S. G.
- Venue
- Molecular Ecology Resources
- Publisher
- Wiley
- Published
- 2014-09-29
- Volume
- 15
- Issue
- 3
- Pages
- 489-501
- ISSN
- 1755-098X (ISSN-L)
- 1755-0998
- OpenAlex
- W2130526187
- Cited by
- 334
- References
- 68
- FWCI
- 22.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Target enrichment of ultraconserved elements from arthropods provides a genomic perspective on relationships among Hymenoptera. https://app.cochat.ai/papers/10.1111/1755-0998.12328
- The paper
- Faircloth, B. C., Branstetter, M. G., White, N. D., & Brady, S. G. (2015). Target enrichment of ultraconserved elements from arthropods provides a genomic perspective on relationships among Hymenoptera. Molecular Ecology Resources. https://doi.org/10.1111/1755-0998.12328
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.