Author

A. J. Pinto

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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Microbiology· 9 Bioengineering· 3

Signature Assays, Organisms & Methods

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Assay:metagenomics· 10 Approach:experimental assay· 5 Approach:statistical model· 5 Research Focus:clustering· 4 Research Focus:ecology & biodiversity· 4 Approach:deep learning· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2

Frequent Co-Authors

Z. Dai· 7 shared A. Z. Gu· 2 shared B. Gincley· 2 shared E. Hartnett· 2 shared F. Khan· 2 shared I. Cotto· 2 shared M. C. Sevillano· 2 shared M. Sigudu· 2 shared

Activity by Year

2018-2024 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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7 shared papersMicrobiology

Z. Dai

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12 papers

Recent·Most cited

Introducing ARTiMiS: A low-cost flow imaging microscope for phytoplankton monitoring in engineered and natural environments

B. Gincley, F. Khan, E. Hartnett, A. Fisher, A. J. Pinto

The paper introduces ARTiMiS, a low-cost flow imaging microscope for real-time phytoplankton monitoring, and demonstrates its performance in laboratory and full-scale cultivation systems.

bioRxiv · Feb 27, 2024 · PreprintBioengineering

Community Structure and Function During Periods of High Performance and System Upset in a Full-Scale Mixed Microalgal Wastewater Resource Recovery Facility

M. M. Alam, M. Hodaei, E. Hartnett, B. Gincley, F. Khan, G.-Y. Kim, A. J. Pinto, I. M. Bradley

The paper examines microbial community dynamics in a full-scale microalgal wastewater treatment facility during stable and upset conditions, identifying key factors affecting nutrient recovery and system performance.

bioRxiv · Jan 23, 2024Bioengineering

Identifying eukaryotes in drinking water metagenomes and factors influencing their biogeography.

M. Gabrielli, Z. Dai, V. Delafont, P. Timmers, P. van der Wielen, M. Antonelli, A. J. Pinto

The paper benchmarks methods to identify eukaryotes in drinking water metagenomes and finds MetaBAT2 is the best for clustering eukaryotic sequences.

bioRxiv · Nov 29, 2022Microbiology

Low diversity and microdiversity of comammox bacteria in wastewater systems suggests wastewater-specific adaptation within the Ca. Nitrospira nitrosa cluster.

I. Cotto, K. J. Vilardi, L. Huo, E. C. Fogarty, W. Khunjar, C. Wilson, H. De Clippeleir, K. Gilmore, E. Bailey, S. J. Lücker, A. J. Pinto

The paper compares diversity and microdiversity of comammox bacteria with strict nitrifiers in wastewater systems, finding low diversity and specific adaptations in comammox populations.

bioRxiv · Jun 11, 2022Microbiology

A Snapshot of the Global Drinking Water Virome: Diversity and Metabolic Potential Vary with Residual Disinfectant Use

B. E. Hegarty, Z. Dai, L. Raskin, A. J. Pinto, K. Wigginton, M. B. Duhaime

This study analyzes viral diversity and metabolic potential in drinking water systems, finding that residual disinfectant use affects viral composition and community structure.

bioRxiv · Oct 7, 2021Microbiology

Biophysical characterization of the oligomeric states of recombinant Immunoglobulins type-M and their C1q binding kinetics by Biolayer Interferometry

A. Chouquet, A. J. Pinto, J. Hennicke, W. L. W. Ling, I. Bally, L. Schwaigerlehner, N. M. Thielens, R. Kunert, J.-B. REISER

This study characterizes the oligomeric states and C1q binding kinetics of recombinant IgMs using biophysical methods, showing they retain complement activation function similar to plasma-derived IgMs.

bioRxiv · Sep 30, 2021 · PreprintBioengineering

Spatial-temporal targeted and non-targeted surveys to assess microbiological composition of drinking water in Puerto Rico following Hurricane Maria.

M. C. Sevillano, S. Vosloo, I. Cotto, Z. Dai, T. Jiang, J. M. Santiago Santana, I. Y. Padilla, Z. Rosario-Pabon, C. Velez Vega, J. F. Cordero, A. Alshawabkeh, A. Z. Gu, A. J. Pinto

This study assessed drinking water microbiome changes in Puerto Rico after Hurricane Maria using targeted and non-targeted microbial analysis, finding no significant deterioration in biological quality.

bioRxiv · May 7, 2021Microbiology

Reproducible microbial community dynamics of two drinking water systems treating similar source waters.

S. C. Potgieter, Z. Dai, M. Havenga, S. Vosloo, M. Sigudu, A. J. Pinto, S. N. Venter

This study compares microbial community dynamics in two similar drinking water treatment plants and distribution systems, finding reproducible spatial-temporal patterns despite disinfection-induced differences.

bioRxiv · Mar 11, 2021Microbiology

Microbial Nitrogen Metabolism in Chloraminated Drinking Water Reservoirs

S. C. Potgieter, Z. Dai, S. N. Venter, M. Sigudu, A. J. Pinto

This study investigates microbial nitrogen metabolism in chloraminated drinking water reservoirs using metagenomics, revealing key bacterial roles in nitrification and nitrate assimilation.

mSphere · Apr 29, 2020Peer-reviewedMicrobiology

Disinfection exhibits systematic impacts on the drinking water microbiome.

Z. Dai, M. C. Sevillano, S. T. Calus, Q. M. Bautista-de los Santos, A. M. Eren, P. W. J. J. van der Wielen, U. Z. Ijaz, A. J. Pinto

This study compares the impact of disinfection and nutrient limitation on drinking water microbiomes, finding that disinfection reduces diversity and selects for microorganisms using decay products.

bioRxiv · Nov 2, 2019Microbiology

Oligotyping and Genome-Resolved Metagenomics Reveal Distinct Candidatus Accumulibacter Communities in Full-Scale Side-Stream versus Conventional Enhanced Biological Phosphorus Removal (EBPR) Configurations

V. N. Srinivasan, G. Li, D. Wang, N. B. Tooker, Z. Dai, A. Onnis-Hayden, A. J. Pinto, A. Z. Gu

This study uses oligotyping and genome-resolved metagenomics to identify distinct Candidatus Accumulibacter communities in different EBPR configurations, revealing new MAGs and clade-level diversity.

bioRxiv · Apr 3, 2019 · PreprintMicrobiology

NanoAmpli-Seq: A workflow for amplicon sequencing for mixed microbial communities on the nanopore sequencing platform

S. T. Calus, U. Z. Ijaz, A. J. Pinto

NanoAmpli-Seq improves amplicon sequencing accuracy and efficiency for nanopore platforms, achieving 99.5% sequence accuracy for 16S rRNA gene sequencing.

GigaScience · Nov 23, 2018Peer-reviewedMicrobiology