Evidence map›Paper›PMID 41144199›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Genomic Characterization of Cryptosporidium spp. via iNextEra Library Preparation and Hybridization Bait Capture.

Mohammad Imtiaj Uddin Bhuiyan, Fiifi Agyabeng-Dadzie, Amanda H Sullivan, Megan S Beaudry, Kelly N Petersen, Piotr T Tuczapski, Michael E Grigg, Jessica C Kissinger, Travis C Glenn

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mohammad Imtiaj Uddin BhuiyanDepartment of Environmental Health Science, College of Public Health, University of Georgia, Athens, GA, USA.
Fiifi Agyabeng-DadzieDepartment of Genetics, University of Georgia, Athens, GA, USA.
Amanda H SullivanDepartment of Environmental Health Science, College of Public Health, University of Georgia, Athens, GA, USA.
Megan S BeaudryDepartment of Environmental Health Science, College of Public Health, University of Georgia, Athens, GA, USA.
Kelly N PetersenOdum School of Ecology, University of Georgia, Athens, GA, USA.
Piotr T TuczapskiDepartment of Environmental Health Science, College of Public Health, University of Georgia, Athens, GA, USA.
Michael E GriggLaboratory of Parasitic Diseases, Division of Intramural Research, NIAID, NIH, Bethesda, MD, USA.
Jessica C KissingerDepartment of Genetics, University of Georgia, Athens, GA, USA.
Travis C GlennDepartment of Environmental Health Science, College of Public Health, University of Georgia, Athens, GA, USA.

Funding

Capturing the genomic variation present in Cryptosporidium and cryptosporidiosisR01AI148667 · NIAID · UNIVERSITY OF GEORGIA · PI GLENN, TRAVIS C., KISSINGER, JESSICA C · 2020 to 2023
$1.8M
NIAID NIH HHS R01 AI148667
6 · The paper itself

Abstract

Next-generation DNA sequencing (NGS) is used to study the genome sequences of Cryptosporidium spp., but NGS is challenging when pure Cryptosporidium oocysts are limited in number or not available. Varying levels of parasites present in fecal samples, combined with the abundance of host cells, bacterial and other microbial cells, and undigested food particles, often result in fecal DNA samples with ~0.1% Cryptosporidium DNA, making genome-scale sequencing of Cryptosporidium from such samples cost-prohibitive. DNA extractions from fecal samples are, however, widely available and commonly used for polymerase chain reaction (PCR)-based diagnostics which can detect fg levels of Cryptosporidium DNA in complex DNA mixtures. Here, we describe an Illumina NGS sample preparation protocol (iNextEra) that can generate libraries from a wide range of DNA input (<1 ng to >60 ng). We then use those libraries within a modified myBaits capture hybridization protocol using CryptoCap_100K baits to enrich Cryptosporidium genomic DNA from a complex DNA background to increase the percentage of generated sequence reads that map to target Cryptosporidium reference genome sequences. Thus, iNextEra libraries and capture hybridization facilitate genome-level sequencing of this critical pathogen from widely available samples with less cost, thereby opening new opportunities to understand the complex biology of this important pathogen.

Indexed as

CryptosporidiumGene LibraryGenome, ProtozoanGenomicsNucleic Acid HybridizationAnimalsCryptosporidiosisDNA, ProtozoanFecesHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNADNA, ProtozoanCryptosporidium spp.Fecal DNAGenomeIlluminaMassively parallel sequencingSequence capture

Identifiers

PMID41144199

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.