Author

D. Gamba

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:Arabidopsis· 3 Approach:statistical model· 3 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

J. R. Lasky· 2 shared M. Takou· 2 shared A. Haile· 1 shared C. E. Bulafu· 1 shared C. Lorts· 1 shared C. Yim· 1 shared D. Elango· 1 shared E. Bellis· 1 shared

Activity by Year

2022-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 25 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

2 shared papersEvolutionary Biology

J. R. Lasky

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

The genomics and physiology of abiotic stressors associated with global elevation gradients in Arabidopsis thaliana

D. Gamba, C. Lorts, A. Haile, S. Sahay, L. Lopez, T. Xia, M. Takou, E. Kulesza, D. Elango, J. Kerby, M. Yifru, C. E. Bulafu, T. Wondimu, K. Glowacka, J. Lasky

This study investigates elevational adaptation in Arabidopsis thaliana by analyzing genetic and physiological responses to abiotic stressors across different regions.

bioRxiv · Mar 22, 2022 · PreprintEvolutionary Biology

Estimating scale-specific and localized spatial patterns in allele frequency

J. R. Lasky, M. Takou, D. Gamba, T. H. Keitt

This study introduces a wavelet-based method to analyze spatial patterns in allele frequencies and applies it to Arabidopsis thaliana to identify locally adapted loci across scales.

bioRxiv · Mar 21, 2022Evolutionary Biology

Climate biogeography of Arabidopsis thaliana: linking distribution models and individual variation

C. Yim, E. Bellis, V. L. DeLeo, D. Gamba, R. Muscarella, J. R. Lasky

This study links climate distribution models of Arabidopsis thaliana with individual variation data to test biogeographic hypotheses about climate constraints and evolutionary fitness.

bioRxiv · Mar 6, 2022 · PreprintEcology