Evidence map›Paper›PMID 26358104›Full record

ArticleParasitology research2015

The development and implementation of a method using blue mussels (Mytilus spp.) as biosentinels of Cryptosporidium spp. and Toxoplasma gondii contamination in marine aquatic environments.

Sarah E Staggs, Scott P Keely, Michael W Ware, Nancy Schable, Mary Jean See, Dominic Gregorio, Xuan Zou, Chunlei Su, J P Dubey, Eric N Villegas

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Parasitology research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Parasitology · 2021
    Pooled it
  2. Bivalve mollusks as sentinels: Molecular detection ofInternational journal for parasitology. Parasites and wildlife · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Potential Risk of Three Zoonotic Protozoa (Foods (Basel, Switzerland) · 2020
    Review
  10. Article
  11. Article
  12. Environmental transmission ofFood and waterborne parasitology · 2019
    Review
  13. 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

10 authors.

Sarah E StaggsNational Exposure Research Laboratory, US Environmental Protection Agency, Cincinnati, OH, 45268, USA.
Scott P KeelyNational Exposure Research Laboratory, US Environmental Protection Agency, Cincinnati, OH, 45268, USA.
Michael W WareNational Exposure Research Laboratory, US Environmental Protection Agency, Cincinnati, OH, 45268, USA.
Nancy SchableDynamac Corporation, Cincinnati, OH, 45268, USA.
Mary Jean SeeDynamac Corporation, Cincinnati, OH, 45268, USA.
Dominic GregorioState Water Resources Control Board, Sacramento, CA, 95814, USA.
Xuan ZouDivision of Biology, University of Tennessee, Knoxville, TN, 37996, USA.
Chunlei SuDivision of Biology, University of Tennessee, Knoxville, TN, 37996, USA.
J P DubeyAnimal Research Services, US Department of Agriculture, Beltsville, MD, 20705, USA.
Eric N VillegasNational Exposure Research Laboratory, US Environmental Protection Agency, Cincinnati, OH, 45268, USA. villegas.eric@epa.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surveillance monitoring for microbial water quality typically involves collecting single discrete grab samples for analyzing only one contaminant. While informative, current approaches suffer from poor recoveries and only provide a limited snapshot of the microbial contaminants only at the time of collection. To overcome these limitations, bivalves have been proposed as effective biosentinels of water quality particularly for their ability to efficiently concentrate and retain microbial contaminants for long periods of time. In this study, we examined the use of indigenous blue mussels (Mytilus spp.) as biosentinels to monitor for the presence of Toxoplasma gondii and Cryptosporidium water. An efficient method to extract oocyst DNA from various mussel tissues followed by PCR-based detection of these pathogens was developed, which resulted in the detection down to 10 oocysts. This method was then used to conduct a small survey in Point Lobos and Morro Bay, California to determine prevalence T. gondii and Cryptosporidium. Results revealed that mussels from Morro Bay were contaminated with T. gondii (33 %), while mussels from Point Lobos were contaminated with T. gondii (54 %) and Cryptosporidium (26.9 %) oocysts. Phylogenetic analysis using the SSU rRNA gene identified two novel Cryptosporidium parvum-like genotypes. Overall, this study demonstrated the application of using native California Mytilus spp. as biosentinels for pathogen contamination along the central California shorelines. More importantly, T. gondii and Cryptosporidium were found at higher prevalence rates in Morro Bay and in Point Lobos, an area not previously reported to be contaminated with these pathogens.

Indexed as

AnimalsCaliforniaCryptosporidiumCryptosporidium parvumEnvironmental MonitoringMolecular Sequence DataMytilusMytilus edulisPhylogenyPolymerase Chain ReactionSeawaterShellfishToxoplasmaBiosentinelCryptosporidiumMytilus spp.Toxoplasma gondiiWater quality

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.