ArticleEvolutionary applications2021
Long-lasting effects of chronic exposure to chemical pollution on the hologenome of the Manila clam.
Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- To cohabit or inoculate? Testing the limits of microbiota transplantation in Manila clams.ISME communications · 2026Article
- Article
- Preventing illegal seafood trade using machine-learning assisted microbiome analysis.BMC biology · 2024Article
- Tracking the hologenome dynamics in aquatic invertebrates by the holo-2bRAD approach.Communications biology · 2024Article
- Contaminants from dredged sediments alter the transcriptome of Manila clam and induce shifts in microbiota composition.BMC biology · 2023Article
- Long-lasting effects of chronic exposure to chemical pollution on the hologenome of the Manila clam.Evolutionary applications · 2021Article
Corrections and comments
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Authors and funding
24 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic exposure to pollutants affects natural populations, creating specific molecular and biochemical signatures. In the present study, we tested the hypothesis that chronic exposure to pollutants might have substantial effects on the Manila clam hologenome long after removal from contaminated sites. To reach this goal, a highly integrative approach was implemented, combining transcriptome, genetic and microbiota analyses with the evaluation of biochemical and histological profiles of the edible Manila clam
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Registered trials
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.