Evidence map›Paper›PMID 40401931›Full record

ArticleMicrobiology spectrum2025

Development of qPCR assays for bacterial nitrification and denitrification genes in catfish aquaculture ponds.

Caitlin E Older, Matt J Griffin, Cynthia Ware, Brian D Ott

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Caitlin E OlderWarmwater Aquaculture Research Unit, United States Department of Agriculture, Agricultural Research Service, Stoneville, Mississippi, USA.ORCID 0000-0001-7007-5815
Matt J GriffinAquatic Research and Diagnostic Laboratory, College of Veterinary Medicine, Mississippi State University, Stoneville, Mississippi, USA.ORCID 0000-0002-7920-3446
Cynthia WareAquatic Research and Diagnostic Laboratory, College of Veterinary Medicine, Mississippi State University, Stoneville, Mississippi, USA.
Brian D OttWarmwater Aquaculture Research Unit, United States Department of Agriculture, Agricultural Research Service, Stoneville, Mississippi, USA.ORCID 0000-0002-1417-6344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitrogenous waste products are toxic to fish, and their removal is a critical process in aquaculture production. In earthen pond production systems, such as those used in the catfish industry, phytoplankton act as the dominant sink for ammonia; however, bacteria can also play roles in denitrification and nitrification, particularly when excess ammonia exists. As the US catfish industry continues to intensify, the bacterial communities relevant in the removal of nitrogenous waste will become more integral to efficient production and necessitate further research. Here, quantitative PCR (qPCR) assays targeting four genes covering the denitrification and nitrification pathways present in catfish aquaculture ponds were developed. Twenty-four existing primer sets were used to amplify relevant genes in samples obtained from catfish pond water and sediment and then subjected to high-throughput sequencing to identify the sequence variants present in the environment. Five conventional PCR assays yielded sequencing results conducive to qPCR primer design. Quantitative PCR assays were successfully developed for four targets:

Indexed as

BacteriaCatfishesDenitrificationNitrificationPondsReal-Time Polymerase Chain ReactionAmmoniaAnimalsAquacultureAmmoniaaquaculturecatfishdenitrificationnitrificationpondqPCRsedimentwater

Identifiers

PMID40401931
PMCPMC12211025

What OpenQuestion holds

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Registered trials

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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.