Evidence map›Paper›PMID 34555037›Full record

ArticlePLoS neglected tropical diseases2021

A gene expression panel for estimating age in males and females of the sleeping sickness vector Glossina morsitans.

Eric R Lucas, Alistair C Darby, Stephen J Torr, Martin J Donnelly

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. 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
0.5field-weighted citation impact, top 35% of its field
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, 3 citations in OpenAlex.

  1. Advancing age grading techniques forBiology methods & protocols · 2024
    Article
  2. Development of Forensically ImportantAnimals : an open access journal from MDPI · 2023
    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 at 2 institutions in 1 country.

Eric R LucasLiverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0003-3892-1668
Alistair C DarbyInstitute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
Stephen J TorrLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Martin J DonnellyLiverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0001-5218-1497
Liverpool School of Tropical Medicine · GBUniversity of Liverpool · GB

Funding

Biotechnology and Biological Sciences Research Council BB/P005888/1Biotechnology and Biological Sciences Research Council BB/S00243X/1Biotechnology and Biological Sciences Research Council BB/S01375X/1Medical Research Council MR/T001070/1
6 · The paper itself

Abstract

Many vector-borne diseases are controlled by methods that kill the insect vectors responsible for disease transmission. Recording the age structure of vector populations provides information on mortality rates and vectorial capacity, and should form part of the detailed monitoring that occurs in the wake of control programmes, yet tools for obtaining estimates of individual age remain limited. We investigate the potential of using markers of gene expression to predict age in tsetse flies, which are the vectors of deadly and economically damaging African trypanosomiases. We use RNAseq to identify candidate expression markers, and test these markers using qPCR in laboratory-reared Glossina morsitans morsitans of known age. Measuring the expression of six genes was sufficient to obtain a prediction of age with root mean squared error of less than 8 days, while just two genes were sufficient to classify flies into age categories of ≤15 and >15 days old. Further testing of these markers in field-caught samples and in other species will determine the accuracy of these markers in the field.

Indexed as

Gene ExpressionAnimalsFemaleGenes, EssentialInsect VectorsMaleTrypanosomiasis, AfricanTsetse Flies

Identifiers

PMID34555037
PMCPMC8491940
OpenAlexW3200981453

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.