Author

B. W. Alto

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

Biology Disciplines

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Ecology· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:development & morphogenesis· 2 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:Arabidopsis· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Assay:Hi-C· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. A. Yurchenko· 1 shared A. Badolo· 1 shared A. Gloria-Soria· 1 shared A. Horton· 1 shared A. Janusauskaite· 1 shared A. S. Paige· 1 shared A. Solis· 1 shared B. A. Borgert· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperEvolutionary Biology

A. A. Yurchenko

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Discovery and characterization of chromosomal inversions in the arboviral vector mosquito Aedes aegypti

J. Liang, N. H. Rose, I. I. Brusentsov, V. Lukyanchikova, D. A. Karagodin, Y. Feng, A. A. Yurchenko, M. Sylla, J. Lutomiah, A. Badolo, O. B. Aribodor, D. Ayala, C. G. Acosta, B. W. Alto, N. W. Ahmad, , M. V. Sharakhova

This study identifies chromosomal inversions in Aedes aegypti using Hi-C, revealing geographic distribution patterns and potential roles in host choice and disease transmission.

bioRxiv · Feb 16, 2024 · PreprintEvolutionary Biology

Linking nutrient stoichiometry to Zika virus transmission in a mosquito

A. S. Paige, S. K. Bellamy, B. W. Alto, C. L. Dean, D. A. Yee

This study shows that nutrient stoichiometry in mosquito larvae affects Zika virus transmission by altering nitrogen levels and infection rates.

bioRxiv · May 22, 2019Ecology

Modelling the distribution of Aedes aegypti and Aedes albopictus using climate, host density and interspecies competitive effects

B. Yang, B. A. Borgert, B. W. Alto, C. K. Boohene, P. Brabant, J. Brew, K. Deutsch, J. T. DeValerio, R. R. Dinglasan, D. Dixon, J. M. Faella, S. L. Fisher-Grainger, G. E. Glass, R. Hayes, D. F. Hoel, , D. A. T. Cummings

The paper develops a predictive model for the spatial distribution of Aedes aegypti and Aedes albopicti in Florida using climate, host density, and competitive interactions, achieving high validation accuracy.

bioRxiv · Dec 17, 2018 · PreprintEcology