Author

Fadheela Patel

University of Cape TownORCID 0000-0001-5177-7416Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Fadheela Patel1 paper · University of Cape Town

Biology Disciplines

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Microbiology· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:experimental assay· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Guilherme Fahur BottinoiD· 2 shared Kevin Scott BonhamiD· 2 shared Kirsten Ann DonaldiD· 2 shared Michal R. ZieffiD· 2 shared Vanja Klepac‐CerajiD· 2 shared Alline Cristina CamposiD· 1 shared Amy S. GrahamiD· 1 shared Andre J. W. van der KouweiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersNeuroscience

Guilherme Fahur BottinoORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

NeuroscienceFrontiers in MicrobiologyPeer-reviewedJun 2, 2026

Microbiome-behavior coupling shapes infant adaptation to early maternal unpredictability

Dima Amso, Guilherme Fahur Bottino, Tess Allegra Forest…·Vanja Klepac‐Ceraj

The paper links infant gut microbiome composition and behavioral responses to maternal unpredictability, showing how microbial metabolism influences behavioral outcomes.

DOI 10.3389/fmicb.2026.1830339

humanmetagenomics

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MicrobiologyFrontiers in BioinformaticsPeer-reviewedMar 17, 2025

Using short-read 16S rRNA sequencing of multiple variable regions to generate high-quality results to a species level.

Amy S. Graham, Fadheela Patel, Francesca Little…·Martha J. Holmes

This paper evaluates using short-read 16S rRNA sequencing of multiple variable regions to achieve species-level resolution and assesses sample collection impacts on results.

5 citations

metagenomicsstatistical model

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MicrobiologyNature CommunicationsPeer-reviewedJan 14, 2025

Early life microbial succession in the gut follows common patterns in humans across the globe

Guilherme Fahur Bottino, Kevin Scott Bonham, Fadheela Patel…·Vanja Klepac‐Ceraj

The paper develops a model to estimate infant gut microbiome age using metagenomic data, finding conserved microbial succession patterns across diverse human populations.

51 citationstop 1%

humanmetagenomics

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