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Combining Bioinformatics and Phylogenetics to Identify Large Sets of Single-Copy Orthologous Genes (COSII) for Comparative, Evolutionary and Systematic Studies: A Test Case in the Euasterid Plant Clade
Open accessAbstract
We report herein the application of a set of algorithms to identify a large number (2869) of single-copy orthologs (COSII), which are shared by most, if not all, euasterid plant species as well as the model species Arabidopsis. Alignments of the orthologous sequences across multiple species enabled the design of “universal PCR primers,” which can be used to amplify the corresponding orthologs from a broad range of taxa, including those lacking any sequence databases. Functional annotation revealed that these conserved, single-copy orthologs encode a higher-than-expected frequency of proteins transported and utilized in organelles and a paucity of proteins associated with cell walls, protein kinases, transcription factors, and signal transduction. The enabling power of this new ortholog resource was demonstrated in phylogenetic studies, as well as in comparative mapping across the plant families tomato (family Solanaceae) and coffee (family Rubiaceae). The combined results of these studies provide compelling evidence that (1) the ancestral species that gave rise to the core euasterid families Solanaceae and Rubiaceae had a basic chromosome number of x = 11 or 12.2) No whole-genome duplication event (i.e., polyploidization) occurred immediately prior to or after the radiation of either Solanaceae or Rubiaceae as has been recently suggested.
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Cites
Analysis of the genome sequence of the flowering plant Arabidopsis thaliana
Initiative, T. A. G. (2000) · Nature · doi:10.1038/35048692 · Cited by 9,301
OrthoMCL: Identification of Ortholog Groups for Eukaryotic Genomes
Li, L., Stoeckert, C. J., & Roos, D. S. (2003) · Genome Research · doi:10.1101/gr.1224503 · Cited by 5,707
Cases in which parsimony or compatibility methods will be positively misleading.
Felsenstein, J. (1978) · Systematic Zoology · doi:10.2307/2412923 · Cited by 2,230
Genome-scale approaches to resolving incongruence in molecular phylogenies.
Rokas, A., Williams, B. L., King, N., & Carroll, S. B. (2003) · Nature · doi:10.1038/nature02053 · Cited by 1,512
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Choosing and Using a Plant DNA Barcode
Hollingsworth, P. M., Graham, S. W., & Little, D. P. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019254 · Cited by 1,305
Navigating the tip of the genomic iceberg: Next‐generation sequencing for plant systematics
Straub, S. C. K., Parks, M., Weitemier, K., Fishbein, M., Cronn, R. C., & Liston, A. (2012) · American Journal of Botany · doi:10.3732/ajb.1100335 · Cited by 696
EST-SSRs as a resource for population genetic analyses
Ellis, J. R., & Burke, J. M. (2007) · Heredity · doi:10.1038/sj.hdy.6801001 · Cited by 590
The Legume Phylogeny Working Group, Bruneau, A., Doyle, J. J., Herendeen, P., Hughes, C., Kenicer, G., Lewis, G., Mackinder, B., Pennington, R. T., Sanderson, M. J., et al. (2013) · TAXON · doi:10.12705/622.8 · Cited by 437
Ballester, A.-R., Molthoff, J., de Vos, R., Hekkert, B. T. L., Orzaez, D., Fernaݩndez-Moreno, J.-P., Tripodi, P., Grandillo, S., Martin, C., Heldens, J., et al. (2009) · Plant Physiology · doi:10.1104/pp.109.147322 · Cited by 398
Metadata
- Authors
- Wu, F., Mueller, L. A., Crouzillat, D., Pétiard, V., & Tanksley, S. D.
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-11-01
- Volume
- 174
- Issue
- 3
- Pages
- 1407-1420
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- OpenAlex
- W2048306434
- Cited by
- 287
- References
- 4
- FWCI
- 7.61
- Type
- journal article
- Language
- en
- Open access
- green
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- Wu, F., Mueller, L. A., Crouzillat, D., Pétiard, V., & Tanksley, S. D. (2006). Combining Bioinformatics and Phylogenetics to Identify Large Sets of Single-Copy Orthologous Genes (COSII) for Comparative, Evolutionary and Systematic Studies: A Test Case in the Euasterid Plant Clade. Genetics. https://doi.org/10.1534/genetics.106.062455
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