Vanessa L. González
Harvard University
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Featured researches published by Vanessa L. González.
Molecular Biology and Evolution | 2014
Prashant P. Sharma; Stefan T. Kaluziak; Alicia R. Pérez-Porro; Vanessa L. González; Gustavo Hormiga; Ward C. Wheeler; Gonzalo Giribet
Chelicerata represents one of the oldest groups of arthropods, with a fossil record extending to the Cambrian, and is sister group to the remaining extant arthropods, the mandibulates. Attempts to resolve the internal phylogeny of chelicerates have achieved little consensus, due to marked discord in both morphological and molecular hypotheses of chelicerate phylogeny. The monophyly of Arachnida, the terrestrial chelicerates, is generally accepted, but has garnered little support from molecular data, which have been limited either in breadth of taxonomic sampling or in depth of sequencing. To address the internal phylogeny of this group, we employed a phylogenomic approach, generating transcriptomic data for 17 species in combination with existing data, including two complete genomes. We analyzed multiple data sets containing up to 1,235,912 sites across 3,644 loci, using alternative approaches to optimization of matrix composition. Here, we show that phylogenetic signal for the monophyly of Arachnida is restricted to the 500 slowest-evolving genes in the data set. Accelerated evolutionary rates in Acariformes, Pseudoscorpiones, and Parasitiformes potentially engender long-branch attraction artifacts, yielding nonmonophyly of Arachnida with increasing support upon incrementing the number of concatenated genes. Mutually exclusive hypotheses are supported by locus groups of variable evolutionary rate, revealing significant conflicts in phylogenetic signal. Analyses of gene-tree discordance indicate marked incongruence in relationships among chelicerate orders, whereas derived relationships are demonstrably robust. Consistently recovered and supported relationships include the monophyly of Chelicerata, Euchelicerata, Tetrapulmonata, and all orders represented by multiple terminals. Relationships supported by subsets of slow-evolving genes include Ricinulei + Solifugae; a clade comprised of Ricinulei, Opiliones, and Solifugae; and a clade comprised of Tetrapulmonata, Scorpiones, and Pseudoscorpiones. We demonstrate that outgroup selection without regard for branch length distribution exacerbates long-branch attraction artifacts and does not mitigate gene-tree discordance, regardless of high gene representation for outgroups that are model organisms. Arachnopulmonata (new name) is proposed for the clade comprising Scorpiones + Tetrapulmonata (previously named Pulmonata).
Frontiers in Zoology | 2012
Ana Riesgo; Sonia Da silva andrade; Prashant P. Sharma; Marta Novo; Alicia R. Pérez-Porro; Varpu Vahtera; Vanessa L. González; Gisele Y. Kawauchi; Gonzalo Giribet
IntroductionTraditionally, genomic or transcriptomic data have been restricted to a few model or emerging model organisms, and to a handful of species of medical and/or environmental importance. Next-generation sequencing techniques have the capability of yielding massive amounts of gene sequence data for virtually any species at a modest cost. Here we provide a comparative analysis of de novo assembled transcriptomic data for ten non-model species of previously understudied animal taxa.ResultscDNA libraries of ten species belonging to five animal phyla (2 Annelida [including Sipuncula], 2 Arthropoda, 2 Mollusca, 2 Nemertea, and 2 Porifera) were sequenced in different batches with an Illumina Genome Analyzer II (read length 100 or 150 bp), rendering between ca. 25 and 52 million reads per species. Read thinning, trimming, and de novo assembly were performed under different parameters to optimize output. Between 67,423 and 207,559 contigs were obtained across the ten species, post-optimization. Of those, 9,069 to 25,681 contigs retrieved blast hits against the NCBI non-redundant database, and approximately 50% of these were assigned with Gene Ontology terms, covering all major categories, and with similar percentages in all species. Local blasts against our datasets, using selected genes from major signaling pathways and housekeeping genes, revealed high efficiency in gene recovery compared to available genomes of closely related species. Intriguingly, our transcriptomic datasets detected multiple paralogues in all phyla and in nearly all gene pathways, including housekeeping genes that are traditionally used in phylogenetic applications for their purported single-copy nature.ConclusionsWe generated the first study of comparative transcriptomics across multiple animal phyla (comparing two species per phylum in most cases), established the first Illumina-based transcriptomic datasets for sponge, nemertean, and sipunculan species, and generated a tractable catalogue of annotated genes (or gene fragments) and protein families for ten newly sequenced non-model organisms, some of commercial importance (i.e., Octopus vulgaris). These comprehensive sets of genes can be readily used for phylogenetic analysis, gene expression profiling, developmental analysis, and can also be a powerful resource for gene discovery. The characterization of the transcriptomes of such a diverse array of animal species permitted the comparison of sequencing depth, functional annotation, and efficiency of genomic sampling using the same pipelines, which proved to be similar for all considered species. In addition, the datasets revealed their potential as a resource for paralogue detection, a recurrent concern in various aspects of biological inquiry, including phylogenetics, molecular evolution, development, and cellular biochemistry.
Invertebrate Systematics | 2014
Rüdiger Bieler; Paula M. Mikkelsen; Timothy M. Collins; Emily A. Glover; Vanessa L. González; Daniel L. Graf; Elizabeth M. Harper; John M. Healy; Gisele Y. Kawauchi; Prashant P. Sharma; Sid Staubach; Ellen E. Strong; John D. Taylor; Ilya Tëmkin; John D. Zardus; Stephanie A. Clark; Alejandra Guzmán; Erin McIntyre; Paul Sharp; Gonzalo Giribet
Abstract. To re-evaluate the relationships of the major bivalve lineages, we amassed detailed morpho-anatomical, ultrastructural and molecular sequence data for a targeted selection of exemplar bivalves spanning the phylogenetic diversity of the class. We included molecular data for 103 bivalve species (up to five markers) and also analysed a subset of taxa with four additional nuclear protein-encoding genes. Novel as well as historically employed morphological characters were explored, and we systematically disassembled widely used descriptors such as gill and stomach ‘types’. Phylogenetic analyses, conducted using parsimony direct optimisation and probabilistic methods on static alignments (maximum likelihood and Bayesian inference) of the molecular data, both alone and in combination with morphological characters, offer a robust test of bivalve relationships. A calibrated phylogeny also provided insights into the tempo of bivalve evolution. Finally, an analysis of the informativeness of morphological characters showed that sperm ultrastructure characters are among the best morphological features to diagnose bivalve clades, followed by characters of the shell, including its microstructure. Our study found support for monophyly of most broadly recognised higher bivalve taxa, although support was not uniform for Protobranchia. However, monophyly of the bivalves with protobranchiate gills was the best-supported hypothesis with incremental morphological and/or molecular sequence data. Autobranchia, Pteriomorphia, Heteroconchia, Palaeoheterodonta, Archiheterodonta, Euheterodonta, Anomalodesmata and Imparidentia new clade ( = Euheterodonta excluding Anomalodesmata) were recovered across analyses, irrespective of data treatment or analytical framework. Another clade supported by our analyses but not formally recognised in the literature includes Palaeoheterodonta and Archiheterodonta, which emerged under multiple analytical conditions. The origin and diversification of each of these major clades is Cambrian or Ordovician, except for Archiheterodonta, which diverged from Palaeoheterodonta during the Cambrian, but diversified during the Mesozoic. Although the radiation of some lineages was shifted towards the Palaeozoic (Pteriomorphia, Anomalodesmata), or presented a gap between origin and diversification (Archiheterodonta, Unionida), Imparidentia showed steady diversification through the Palaeozoic and Mesozoic. Finally, a classification system with six major monophyletic lineages is proposed to comprise modern Bivalvia: Protobranchia, Pteriomorphia, Palaeoheterodonta, Archiheterodonta, Anomalodesmata and Imparidentia.
The Astrophysical Journal | 2016
P. A. Oesch; Gabriel B. Brammer; P. G. van Dokkum; G. D. Illingworth; R. J. Bouwens; Ivo Labbé; Marijn Franx; Ivelina Momcheva; M. L. N. Ashby; G. G. Fazio; Vanessa L. González; B. Holden; D. Magee; R. Skelton; R. Smit; Lee R. Spitler; Michele Trenti; S. P. Willner
We present Hubble WFC3/IR slitless grism spectra of a remarkably bright
Proceedings of the Royal Society of London B: Biological Sciences | 2015
Vanessa L. González; Sónia C. S. Andrade; Rüdiger Bieler; Timothy M. Collins; Casey W. Dunn; Paula M. Mikkelsen; John D. Taylor; Gonzalo Giribet
z\gtrsim10
Molecular Phylogenetics and Evolution | 2013
Prashant P. Sharma; John D. Zardus; Elizabeth E. Boyle; Vanessa L. González; Robert M. Jennings; Erin McIntyre; Ward C. Wheeler; Ron J. Etter; Gonzalo Giribet
galaxy candidate, GN-z11, identified initially from CANDELS/GOODS-N imaging data. A significant spectroscopic continuum break is detected at
Molecular Phylogenetics and Evolution | 2012
Prashant P. Sharma; Vanessa L. González; Gisele Y. Kawauchi; Sónia C. S. Andrade; Alejandra Guzmán; Timothy M. Collins; Emily A. Glover; Elizabeth M. Harper; John M. Healy; Paula M. Mikkelsen; John D. Taylor; Rüdiger Bieler; Gonzalo Giribet
\lambda=1.47\pm0.01~\mu
BMC Biology | 2017
Evelyn E. Schwager; Prashant P. Sharma; Thomas H. Clarke; Daniel J. Leite; Torsten Wierschin; Matthias Pechmann; Yasuko Akiyama-Oda; Lauren Esposito; Jesper Bechsgaard; Trine Bilde; Alexandra D. Buffry; Hsu Chao; Huyen Dinh; HarshaVardhan Doddapaneni; Shannon Dugan; Cornelius Eibner; Cassandra G. Extavour; Peter Funch; Jessica E. Garb; Luis B. Gonzalez; Vanessa L. González; Sam Griffiths-Jones; Yi Han; Cheryl Y. Hayashi; Maarten Hilbrant; Daniel S.T. Hughes; Ralf Janssen; Sandra L. Lee; Ignacio Maeso; Shwetha C. Murali
m. The new grism data, combined with the photometric data, rule out all plausible lower redshift solutions for this source. The only viable solution is that this continuum break is the Ly
Molecular Phylogenetics and Evolution | 2015
Sarah Lemer; Gisele Y. Kawauchi; Sónia C. S. Andrade; Vanessa L. González; Michael J. Boyle; Gonzalo Giribet
\alpha
Proceedings of the Royal Society B: Biological Sciences | 2016
Sarah Lemer; Vanessa L. González; Rüdiger Bieler; Gonzalo Giribet
break redshifted to