Joanna M. Wolfe

Dr. Joanna M. Wolfe

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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 April 2019 in Proceedings Of The Royal Society B-Biological Sciences
Verified
Journal Article
Open access
JWJoanna M. Wolfe
Joanna M. Wolfe
JBJesse W. Breinholt
Jesse W. Breinholt
Keith A. CrandallKeith A. Crandall
Keith A. Crandall
ALAlan R. Lemmon
Alan R. Lemmon
ELEmily Moriarty Lemmon
Emily Moriarty Lemmon
HBHeather D. Bracken-Grissom
Heather D. Bracken-Grissom
Comprising over 15 000 living species, decapods (crabs, shrimp and lobsters) are the most instantly recognizable crustaceans, representing a considerable global food source. Although decapod systematics have received much study, limitations of morphological and Sanger sequence data have yet to produce a consensus for higher-level relationships. Here, we introduce a new anchored hybrid enrichment kit for decapod phylogenetics designed from genomic and transcriptomic sequences that we used to capture new high-throughput sequence data from 94 species, including 58 of 179 extant decapod families, and 11 of 12 major lineages. The enrichment kit yields 410 loci (greater than 86 000 bp) conserved across all lineages of Decapoda, more clade-specific molecular data than any prior study. Phylogenomic analyses recover a robust decapod tree of life strongly supporting the monophyly of all infraorders, and monophyly of each of the reptant, ‘lobster’ and ‘crab’ groups, with some results supporting pleocyemate monophyly. We show that crown decapods diverged in the Late Ordovician and most crown lineages diverged in the Triassic–Jurassic, highlighting a cryptic Palaeozoic history, and post-extinction diversification. New insights into decapod relationships provide a phylogenomic window into morphology and behaviour, and a basis to rapidly and cheaply expand sampling in this economically and ecologically significant invertebrate clade.

12 September 2012 in Molecular Biology and Evolution
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Journal Article
Open access
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TOTodd Oakley
Todd Oakley
JWJoanna M. Wolfe
Joanna M. Wolfe
ALAnnie R. Lindgren
Annie R. Lindgren
AZAlexander K. Zaharoff
Alexander K. Zaharoff
An ambitious, yet fundamental goal for comparative biology is to understand the evolutionary relationships for all of life. However, many important taxonomic groups have remained recalcitrant to inclusion into broader scale studies. Here, we focus on collection of 9 new 454 transcriptome data sets from Ostracoda, an ancient and diverse group with a dense fossil record, which is often undersampled in broader studies. We combine the new transcriptomes with a new morphological matrix (including fossils) and existing expressed sequence tag, mitochondrial genome, nuclear genome, and ribosomal DNA data. Our analyses lead to new insights into ostracod and pancrustacean phylogeny. We obtained support for three epic pancrustacean clades that likely originated in the Cambrian: Oligostraca (Ostracoda, Mystacocarida, Branchiura, and Pentastomida); Multicrustacea (Copepoda, Malacostraca, and Thecostraca); and a clade we refer to as Allotriocarida (Hexapoda, Remipedia, Cephalocarida, and Branchiopoda). Within the Oligostraca clade, our results support the unresolved question of ostracod monophyly. Within Multicrustacea, we find support for Thecostraca plus Copepoda, for which we suggest the name Hexanauplia. Within Allotriocarida, some analyses support the hypothesis that Remipedia is the sister taxon to Hexapoda, but others support Branchiopoda + Cephalocarida as the sister group of hexapods. In multiple different analyses, we see better support for equivocal nodes using slow-evolving genes or when excluding distant outgroups, highlighting the increased importance of conditional data combination in this age of abundant, often anonymous data. However, when we analyze the same set of species and ignore rate of gene evolution, we find higher support when including all data, more in line with a “total evidence” philosophy. By concatenating molecular and morphological data, we place pancrustacean fossils in the phylogeny, which can be used for studies of divergence times in Pancrustacea, Arthropoda, or Metazoa. Our results and new data will allow for attributes of Ostracoda, such as its amazing fossil record and diverse biology, to be leveraged in broader scale comparative studies. Further, we illustrate how adding extensive next-generation sequence data from understudied groups can yield important new phylogenetic insights into long-standing questions, especially when carefully analyzed in combination with other data.

1 September 2016 in Earth-Science Reviews
Verified
Journal Article
Closed access
JWJoanna M. Wolfe
Joanna M. Wolfe
ADAllison C. Daley
Allison C. Daley
DLDavid A. Legg
David A. Legg
GEGregory D. Edgecombe
Gregory D. Edgecombe

2 April 2018 in Nature Ecology & Evolution
Verified
Journal Article
Open access
JWJoanna M. Wolfe
Joanna M. Wolfe
GFGregory P. Fournier
Gregory P. Fournier
Microbial methanogenesis may have been a major component of Earth's carbon cycle during the Archaean eon, generating a methane greenhouse that increased global temperatures enough for a liquid hydrosphere, despite the Sun's lower luminosity at the time. Evaluation of potential solutions to the 'faint young Sun' hypothesis by determining the age of microbial methanogenesis has been limited by ambiguous geochemical evidence and the absence of a diagnostic fossil record. To overcome these challenges, we use a temporal constraint: a horizontal gene transfer event from within archaeal methanogens to the ancestor of Cyanobacteria, one of the few microbial clades with recognized crown-group fossils. Results of molecular clock analyses calibrated by this horizontal-gene-transfer-propagated constraint show methanogens diverging within Euryarchaeota no later than 3.51 billion years ago, with methanogenesis itself probably evolving earlier. This timing provides independent support for scenarios wherein microbial methane production was important in maintaining temperatures on the early Earth.

31 January 2018 in Geobiology
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Journal Article
Open access
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CMC. Magnabosco
C. Magnabosco
KMK. R. Moore
K. R. Moore
JWJoanna M. Wolfe
Joanna M. Wolfe
GFGregory Fournier
Gregory Fournier
Phototrophic bacteria are among the most biogeochemically significant organisms on Earth and are physiologically related through the use of reaction centers to collect photons for energy metabolism. However, the major phototrophic lineages are not closely related to one another in bacterial phylogeny, and the origins of their respective photosynthetic machinery remain obscured by time and low sequence similarity. To better understand the co‐evolution of Cyanobacteria and other ancient anoxygenic phototrophic lineages with respect to geologic time, we designed and implemented a variety of molecular clocks that use horizontal gene transfer (HGT) as additional, relative constraints. TheseHGTconstraints improve the precision of phototroph divergence date estimates and indicate that stem green non‐sulfur bacteria are likely the oldest phototrophic lineage. Concurrently, crown Cyanobacteria age estimates ranged from 2.2 Ga to 2.7 Ga, with stem Cyanobacteria diverging ~2.8 Ga. These estimates provide a several hundred Ma window for oxygenic photosynthesis to evolve prior to the Great Oxidation Event (GOE) ~2.3 Ga. In all models, crown green sulfur bacteria diversify after the loss of the banded iron formations from the sedimentary record (~1.8 Ga) and may indicate the expansion of the lineage into a new ecological niche following theGOE. Our date estimates also provide a timeline to investigate the temporal feasibility of different photosystemHGTevents between phototrophic lineages. Using this approach, we infer that stem Cyanobacteria are unlikely to be the recipient of anHGTof photosystem I proteins from green sulfur bacteria but could still have been either theHGTdonor or the recipient of photosystemIIproteins with green non‐sulfur bacteria, prior to theGOE. Together, these results indicate thatHGT‐constrained molecular clocks are useful tools for the evaluation of various geological and evolutionary hypotheses, using the evolutionary histories of both genes and organismal lineages.

3 August 2023 in Molecular Biology and Evolution
Verified
Journal Article
Open access
PDF file
JBJames P Bernot
James P Bernot
COChristopher L Owen
Christopher L Owen
JWJoanna M. Wolfe
Joanna M. Wolfe
KMKenneth Meland
Kenneth Meland
JOJørgen Olesen
Jørgen Olesen
Keith A. CrandallKeith A. Crandall
Keith A. Crandall
The clade Pancrustacea, comprising crustaceans and hexapods, is the most diverse group of animals on earth, containing over 80% of animal species and half of animal biomass. It has been the subject of several recent phylogenomic analyses, yet relationships within Pancrustacea show a notable lack of stability. Here, the phylogeny is estimated with expanded taxon sampling, particularly of malacostracans. We show small changes in taxon sampling have large impacts on phylogenetic estimation. By analyzing identical orthologs between two slightly different taxon sets, we show that the differences in the resulting topologies are due primarily to the effects of taxon sampling on the phylogenetic reconstruction method. We compare trees resulting from our phylogenomic analyses with those from the literature to explore the large tree space of pancrustacean phylogenetic hypotheses and find that statistical topology tests reject the previously published trees in favor of the maximum likelihood trees produced here. Our results reject several clades including Caridoida, Eucarida, Multicrustacea, Vericrustacea, and Syncarida. Notably, we find Copepoda nested within Allotriocarida with high support and recover a novel relationship between decapods, euphausiids, and syncarids that we refer to as the Syneucarida. With denser taxon sampling, we find Stomatopoda sister to this latter clade, which we collectively name Stomatocarida, dividing Malacostraca into three clades: Leptostraca, Peracarida, and Stomatocarida. A new Bayesian divergence time estimation is conducted using 13 vetted fossils. We review our results in the context of other pancrustacean phylogenetic hypotheses and highlight 15 key taxa to sample in future studies.