Evidence map›Paper›PMID 39111421›Full record

ArticleThe Science of the total environment2024

qPCR-based phytoplankton abundance and chlorophyll a: A multi-year study in twelve large freshwater 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 The Science of the total environment, 2024. 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

6 authors.

Chiqian ZhangCivil Engineering Program, College of Engineering & Computer Science, Arkansas State University, AR 72467, 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 overgrowth, which characterizes the eutrophication or trophic status of surface water bodies, threatens ecosystems and public health. Quantitative polymerase chain reaction (qPCR) is promising for assessing the abundance and community composition of phytoplankton. However, applications of qPCR to indicate eutrophication and trophic status, especially in lotic systems, have yet to be comprehensively evaluated. For the first time, this study correlates qPCR-based phytoplankton abundance with chlorophyll a (the most widely used indicator of eutrophication and trophic status) in multiple freshwater rivers. From early summer to late fall in 2017, 2018, and 2019, we evaluated phytoplankton, chlorophyll a, pheophytin a, and the Trophic Level Index (TLI) in twelve large freshwater rivers in three regions (western, midcontinent, and eastern) in the United States. qPCR-based phytoplankton abundance had positive allometric correlations with chlorophyll a concentration (adjusted R

Indexed as

Chlorophyll AEnvironmental MonitoringEutrophicationPhytoplanktonRiversChlorophyllReal-Time Polymerase Chain ReactionUnited StatesChlorophyllChlorophyll AChlorophyll aEutrophicationFreshwater riversNutrientsPhytoplanktonQuantitative polymerase chain reactionTrophic Level Index

Identifiers

PMID39111421
PMCPMC12150573

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.