Author

B. L. D. U. Pushpakumara

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

Microbiology· 2 Ecology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Assay:metagenomics· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

A. Willis· 2 shared H. Verbruggen· 2 shared K. Tandon· 2 shared D. Gunawardana· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 3 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 papersMicrobiology

A. Willis

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

MicrobiologybioRxivPreprintMar 7, 2023

Molecular Characterization of Fischerella uthpalarensis, the first subsection V cyanobiont from a tropical Azolla species containing dual nitrogenases

D. Gunawardana, B. L. D. U. Pushpakumara

This paper identifies Fischerella uthpalarensis as a minor cyanobiont in Azolla, showing dual nitrogenase genes and atypical codon usage likely due to horizontal gene transfer.

DOI 10.1101/2023.03.07.531633

DNA methylationstatistical model

𝕏 PostBluesky

MicrobiologybioRxivPreprintDec 13, 2022

The bacterial microbiome of the coral skeleton algal symbiont Ostreobium shows preferential associations and signatures of phylosymbiosis

B. L. D. U. Pushpakumara, H. Verbruggen, K. Tandon, A. Willis

This study identifies preferential bacterial associations with Ostreobium algae and reveals a phylosymbiotic relationship between Ostreobium phylogeny and its core microbiome.

DOI 10.1101/2022.12.13.520198

metagenomicsstatistical model

𝕏 PostBluesky

EcologybioRxivJan 5, 2022

Unravelling microalgal-bacterial interactions in aquatic ecosystems through 16S rRNA gene-based co-occurrence networks

B. L. D. U. Pushpakumara, K. Tandon, A. Willis, H. Verbruggen

This study uses 16S rRNA gene-based co-occurrence networks to identify microalgal-bacterial associations in aquatic ecosystems, revealing both known and previously unknown interactions.

DOI 10.1038/s41598-023-27816-9

metagenomicsstatistical model

𝕏 PostBluesky