Author

K. T. David

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Evolutionary Biology· 2 Ecology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:yeast· 2 Research Focus:benchmarking· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:comparative / phylogenetic analysis· 1 Approach:machine learning (classical)· 1 Research Focus:phylogenetics / evolution· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Rokas· 3 shared X.-X. Shen· 3 shared A. L. LaBella· 2 shared C. T. Hittinger· 2 shared D. A. Opulente· 2 shared J. F. Wolters· 2 shared M. Groenewald· 2 shared X. Zhou· 2 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersEvolutionary Biology

A. Rokas

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Functional and evolutionary integration of a fungal gene with a bacterial operon

L. Sun, K. T. David, J. F. Wolters, S. D. Karlen, C. Goncalves, D. A. Opulente, A. L. LaBella, M. Groenewald, X. Zhou, X.-X. Shen, A. Rokas, C. T. Hittinger

The paper shows that the fungal gene ENB1, acquired from a bacterial operon, enables iron uptake in W/S clade yeasts and evolved through horizontal transfer and gene loss.

bioRxiv · Nov 21, 2023Evolutionary Biology

Saccharomycotina yeasts defy longstanding macroecological patterns

K. T. David, M.-C. Harrison, D. A. Opulente, A. L. LaBella, J. F. Wolters, X. Zhou, X.-X. Shen, M. Groenewald, M. Pennell, C. T. Hittinger, A. Rokas

This study uses machine learning to model global yeast species distributions and finds they defy traditional macroecological patterns.

bioRxiv · Aug 29, 2023 · PreprintEcology

Feature Frequency Profile-based phylogenies are inaccurate

Y. Li, K. T. David, X.-X. Shen, J. L. Steenwyk, K. M. Halanych, A. Rokas

This paper evaluates the accuracy of FFP-based phylogenies and finds they perform poorly compared to standard methods like concatenation and coalescence.

bioRxiv · Jun 28, 2020Evolutionary Biology