Evidence map›Paper›PMID 39728412›Full record

ArticleJournal of xenobiotics2024

Assessment of Chicken Fecal Contamination Using Microbial Source Tracking (MST) and Environmental DNA (eDNA) Profiling in Silway River, Philippines.

Lonny Mar Opog, Joan Cecilia Casila, Rubenito Lampayan, Marisa Sobremisana, Abriel Bulasag, Katsuhide Yokoyama, Soufiane Haddout

Abstract read
In one paragraph

Article in Journal of xenobiotics, 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

7 authors.

Lonny Mar OpogAgricultural and Biosystems Engineering Department, College of Agriculture, Mindanao State University, General Santos City 9500, Philippines.ORCID 0009-0008-4951-2476
Joan Cecilia CasilaLand and Water Resources Engineering Division, Institute of Agricultural and Biosystems Engineering, College of Engineering and Agro-Industrial Technology, University of the Philippines Los Baños, Laguna 4031, Philippines.ORCID 0000-0001-6319-8999
Rubenito LampayanLand and Water Resources Engineering Division, Institute of Agricultural and Biosystems Engineering, College of Engineering and Agro-Industrial Technology, University of the Philippines Los Baños, Laguna 4031, Philippines.
Marisa SobremisanaSchool of Environmental Science and Management, University of the Philippines Los Baños, Laguna 4031, Philippines.
Abriel BulasagUniversity of the Philippines Rural High School, College of Arts and Sciences, University of the Philippines Los Baños, Laguna 4033, Philippines.ORCID 0000-0002-6561-4228
Katsuhide YokoyamaDepartment of Civil and Environmental Engineering, Tokyo Metropolitan University, Hachioji 192-0397, Tokyo, Japan.ORCID 0000-0003-1576-6239
Soufiane HaddoutDepartment of Physics, Faculty of Science, Ibn Tofail University, Kenitra 14000, Morocco.ORCID 0000-0001-6603-3866

Funding

Engineering Research and Development for Technology to follow
6 · The paper itself

Abstract

The Silway River has historically failed to meet safe fecal coliform levels due to improper waste disposal. The river mouth is located in General Santos City, the tuna capital of the Philippines and a leading producer of hogs, cattle, and poultry. The buildup of contaminants due to direct discharge of waste from chicken farms and existing water quality conditions has led to higher fecal matter in the Silway River. While there were technical reports in the early 2000s about poultry farming, this is the first study where fecal coliform from poultry farming was detected in the Silway River using highly sensitive protocols like qPCR. This study characterized the effect of flow velocity and physicochemical water quality parameters on chicken fecal contamination. Gene markers such as Ckmito and ND5-CD were used to detect and quantify poultry manure contamination through microbial source tracking (MST) and environmental DNA (eDNA) profiling. The results of this study showed the presence of chicken fecal bacteria in all stations along the Silway River. The results revealed that normal levels of water quality parameters such as temperature, pH, and high TSS concentrations create favorable conditions for chicken fecal coliforms to thrive. Multiple regression analysis showed that flow velocity and DO significantly affect chicken fecal contamination. A lower cycle threshold (Ct) value indicated higher concentration of the marker ND5-CD, which means higher fecal contamination. It was found that there was an inverse relationship between the Ct value and both velocity (R

Indexed as

chicken fecal contaminationeDNA profilingfecal contaminationflow velocitymicrobial source trackingSilway Riverwater quality

Identifiers

PMID39728412
PMCPMC11677635

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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.