Evidence map›Paper›PMID 37011576›Full record

ArticleWater research2023

Using cyanobacteria and other phytoplankton to assess trophic conditions: A qPCR-based, multi-year study in twelve large rivers across the United States.

Chiqian Zhang, Kyle D McIntosh, Nathan Sienkiewicz, Erin A Stelzer, Jennifer L Graham, Jingrang Lu

Abstract read
In one paragraph

Article in Water research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Ecological Effects ofBiology · 2025
    Article
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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

6 authors.

Chiqian ZhangDepartment of Civil and Environmental Engineering, College of Sciences and Engineering, Southern University and A&M College, Baton Rouge, LA 70813, United States.
Kyle D McIntoshOak Ridge Institute for Science and Education at the United States Environmental Protection Agency's Office of Research and Development, Oak Ridge, TN 37830, United States.
Nathan SienkiewiczOffice of Research and Development, United States Environmental Protection Agency, Cincinnati, OH 45268, United States.
Erin A StelzerU.S. Geological Survey, Columbus, OH 43229, United States.
Jennifer L GrahamU.S. Geological Survey, Troy, NY 12180, United States.
Jingrang LuOffice of Research and Development, United States Environmental Protection Agency, Cincinnati, OH 45268, United States. Electronic address: lu.jingrang@epa.gov.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Phytoplankton is the essential primary producer in fresh surface water ecosystems. However, excessive phytoplankton growth due to eutrophication significantly threatens ecologic, economic, and public health. Therefore, phytoplankton identification and quantification are essential to understanding the productivity and health of freshwater ecosystems as well as the impacts of phytoplankton overgrowth (such as Cyanobacterial blooms) on public health. Microscopy is the gold standard for phytoplankton assessment but is time-consuming, has low throughput, and requires rich experience in phytoplankton morphology. Quantitative polymerase chain reaction (qPCR) is accurate and straightforward with high throughput. In addition, qPCR does not require expertise in phytoplankton morphology. Therefore, qPCR can be a useful alternative for molecular identification and enumeration of phytoplankton. Nonetheless, a comprehensive study is missing which evaluates and compares the feasibility of using qPCR and microscopy to assess phytoplankton in fresh water. This study 1) compared the performance of qPCR and microscopy in identifying and quantifying phytoplankton and 2) evaluated qPCR as a molecular tool to assess phytoplankton and indicate eutrophication. We assessed phytoplankton using both qPCR and microscopy in twelve large freshwater rivers across the United States from early summer to late fall in 2017, 2018, and 2019. qPCR- and microscope-based phytoplankton abundance had a significant positive linear correlation (adjusted R

Indexed as

CyanobacteriaPhytoplanktonChinaEcosystemEutrophicationFresh WaterRiversSeasonsUnited StatesEutrophicationFreshwater bodiesIndicatorMicroscopyNutrientsSpatiotemporal variation

Identifiers

PMID37011576
PMCPMC10123349

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.