Evidence map›Paper›PMID 36961874›Full record

ArticlePLoS computational biology2023

A real-time feedback system stabilises the regulation of worker reproduction under various colony sizes.

Simeon Adejumo, Tomonori Kikuchi, Kazuki Tsuji, Kana Maruyama-Onda, Ken Sugawara, Yoshikatsu Hayashi

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Simeon AdejumoBiomedical Sciences and Biomedical Engineering, School of Biological Sciences, University of Reading, Reading, Berkshire, United Kingdom.ORCID 0000-0003-4732-4355
Tomonori KikuchiMarine Biosystems Research Center, Chiba University, Tokawa 1, Choshi City, Chiba, Japan.
Kazuki TsujiDepartment of Subtropical Agro-Environmental Sciences, University of the Ryukyus, Nishihara, Okinawa, Japan.
Kana Maruyama-OndaNagoya Protect Station, Shimizu Sub-Station, Ministry of Agriculture, Forestry and Fisheries, Shizuoka, Japan.
Ken SugawaraTohoku Gakuin University, 2-1-1, Tenjinzawa, Izumi-ku, Sendai, Japan.
Yoshikatsu HayashiBiomedical Sciences and Biomedical Engineering, School of Biological Sciences, University of Reading, Reading, Berkshire, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social insects demonstrate adaptive behaviour for a given colony size. Remarkably, most species do this even without visual information in a dark environment. However, how they achieve this is yet unknown. Based on individual trait expression, an agent-based simulation was used to identify an explicit mechanism for understanding colony size dependent behaviour. Through repeated physical contact between the queen and individual workers, individual colony members monitor the physiological states of others, reflecting such contact information in their physiology and behaviour. Feedback between the sensing of physiological states and the corresponding behaviour patterns leads to self-organisation with colonies shifting according to their size. We showed (1) the queen can exhibit adaptive behaviour patterns for the increase in colony size while density per space remains unchanged, and (2) such physical constraints can underlie the adaptive switching of colony stages from successful patrol behaviour to unsuccessful patrol behaviour, which leads to constant ovary development (production of reproductive castes). The feedback loops embedded in the queen between the perception of internal states of the workers and behavioural patterns can explain the adaptive behaviour as a function of colony size.

Indexed as

AntsBehavior, AnimalAnimalsFeedbackFemaleHumansReproductionSocial Behavior

Identifiers

PMID36961874
PMCPMC10075462

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.