Evidence map›Paper›PMID 32440290›Full record

ArticleCurrent zoology2020

Prospects for sociogenomics in avian cooperative breeding and parental care.

Flavia Termignoni-Garcia, Matthew I M Louder, Christopher N Balakrishnan, Lauren O'Connell, Scott V Edwards

Abstract read
In one paragraph

Article in Current zoology, 2020. 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

5 authors.

Flavia Termignoni-GarciaDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.
Matthew I M LouderInternational Research Center for Neurointelligence, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Christopher N BalakrishnanDepartment of Biology, East Carolina University, Greenville, NC 27858, USA.
Lauren O'ConnellDepartment of Biology, Stanford University, Stanford, CA 94305, USA.
Scott V EdwardsDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the last 40 years, the study of cooperative breeding (CB) in birds has proceeded primarily in the context of discovering the ecological, geographical, and behavioral drivers of helping. The advent of molecular tools in the early 1990s assisted in clarifying the relatedness of helpers to those helped, in some cases, confirming predictions of kin selection theory. Methods for genome-wide analysis of sequence variation, gene expression, and epigenetics promise to add new dimensions to our understanding of avian CB, primarily in the area of molecular and developmental correlates of delayed breeding and dispersal, as well as the ontogeny of achieving parental status in nature. Here, we outline key ways in which modern -omics approaches, in particular genome sequencing, transcriptomics, and epigenetic profiling such as ATAC-seq, can be used to add a new level of analysis of avian CB. Building on recent and ongoing studies of avian social behavior and sociogenomics, we review how high-throughput sequencing of a focal species or clade can provide a robust foundation for downstream, context-dependent destructive and non-destructive sampling of specific tissues or physiological states in the field for analysis of gene expression and epigenetics. -Omics approaches have the potential to inform not only studies of the diversification of CB over evolutionary time, but real-time analyses of behavioral interactions in the field or lab. Sociogenomics of birds represents a new branch in the network of methods used to study CB, and can help clarify ways in which the different levels of analysis of CB ultimately interact in novel and unexpected ways.

Indexed as

ATAC-seqbehaviorconvergent evolutionepigeneticsneurobiologyphylogeny

Identifiers

PMID32440290
PMCPMC7233861

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