Evidence map›Paper›PMID 39660054›Full record

ReviewiScience2024

Bio-inspiration unveiled: Dissecting nature's designs through the lens of the female locust's oviposition mechanism.

Amir Ayali, Shai Sonnenreich, Bat El Pinchasik

Abstract readReview
In one paragraph

Review in iScience, 2024. 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. Bioinspired Drilling for Extraterrestrial Applications.Biomimetics (Basel, Switzerland) · 2025
    Review
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

3 authors.

Amir AyaliSchool of Zoology, Faculty of Life Sciences and Sagol School for Neuroscience, Tel-Aviv University, Tel-Aviv 6997801, Israel.
Shai SonnenreichSchool of Mechanical Engineering, Tel-Aviv University, Tel-Aviv 6997801, Israel.
Bat El PinchasikSchool of Mechanical Engineering, Tel-Aviv University, Tel-Aviv 6997801, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigating nature's ingenious designs and systems has become a cornerstone of innovation, influencing fields from robotics, biomechanics, and physics to material sciences. Two key questions, however, regarding bio-inspired innovation are those of how and where does one find bio-inspiration? The perspective presented here is aimed at providing insights into the evolving landscape of bio-inspiration discovery. We present the unique case of the female locust's oviposition as a valuable example for researchers and engineers seeking to pursue multifaceted research, encompassing diverse aspects of biological and bio-inspired systems. The female locust lays her eggs underground to protect them and provide them with optimal conditions for survival and hatching. To this end, she uses a dedicated apparatus comprising two pairs of special digging valves to propagate underground, while remarkably extending her abdomen by 2- to 3-fold its original length. The unique digging mechanism, the subterranean steering ability, and the extreme elongation of the abdomen, including the reversible extension of the abdominal central nervous system, all spark a variety of questions regarding materials, morphology, mechanisms, and their interactions in this complex biological system. We present the cross-discipline efforts to elucidate these fascinating questions, and provide future directions for developing bio-inspired technological innovations based on this remarkable biological system.

Indexed as

Biological sciencesEngineeringPhysics

Identifiers

PMID39660054
PMCPMC11629315

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.