Evidence map›Paper›PMID 41098892›Full record

ArticleEcology and evolution2025

Metabarcoding Close to Home: Songbird Nests as eDNA Aggregators for Trophic Ecology and Biodiversity Studies.

John A Kronenberger, Elise C Zarri, Anna Noson, Taylor M Wilcox

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

John A KronenbergerNational Genomics Center for Wildlife and Fish Conservation U.S. Forest Service Rocky Mountain Research Station Missoula Montana USA.ORCID https://orcid.org/0000-0003-3588-7572
Elise C ZarriNumerical Terradynamic Simulation Group University of Montana Missoula Montana USA.
Anna NosonUniversity of Montana Bird Ecology lab University of Montana Missoula Montana USA.
Taylor M WilcoxNational Genomics Center for Wildlife and Fish Conservation U.S. Forest Service Rocky Mountain Research Station Missoula Montana USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental DNA (eDNA) sampling to monitor wildlife presence has mostly focused on water but increasingly includes soil, air, and creative biotic substrates like flowers and spiderwebs. Biotic substrates are unique in that they also provide insight into ecological interactions. Here we explore the ability of eDNA from songbird nests to reveal avian trophic ecology, such as nestling diet and nest predator identity, in addition to local insect biodiversity. Twenty-two nests comprising five New World sparrow species and two nonsparrow passerines were collected in a montane sagebrush steppe ecosystem shortly after confirmed nest predation events. A novel protocol was used to extract eDNA from whole nests, and each nest was sequenced twice-with and without a blocking oligonucleotide. The blocker was designed with alternating locked nucleic acids to specifically inhibit sparrow amplification and improve detection of rare species. A total of 126 species were detected, and the blocker proved highly effective, reducing sparrow reads ~100% with no discernable coblocking of nonsparrow passerines. Species richness in sparrow nests increased by 31% with the blocker when using a minimum read threshold of 10 copies. Most detected species were insects, including likely prey items and ectoparasites of nestling birds. Predators were detected in 36% of nests. We discuss the merits of this rich and unique data source and considerations for future implementation.

Indexed as

blocking oligonucleotideenvironmental DNAlocked nucleic acidsagebrush

Identifiers

PMID41098892
PMCPMC12518783

What OpenQuestion holds

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LicenceCC BY
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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.