Evidence map›Paper›PMID 33648570›Full record

ArticleParasites & vectors2021

The impact of temperature on the life cycle of Gasterophilus pecorum in northwest China.

Ke Zhang, Heqing Huang, Ran Zhou, Boru Zhang, Chen Wang, Make Ente, Boling Li, Dong Zhang, Kai Li

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
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  4. Studies on the embryonic development and larval infection potential of the stomach bot flies,International journal for parasitology. Parasites and wildlife · 2024
    Article
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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

9 authors at 5 institutions in 1 country.

Ke Zhang *Key Laboratory of Non-Invasive Research Technology for Endangered Species, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China.
Heqing Huang *Chongqing Academy of Environmental Science, Chongqing, 401147, China.
Ran ZhouKey Laboratory of Non-Invasive Research Technology for Endangered Species, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China.
Boru ZhangQinhuangdao Forestry Bureau, Qinhuangdao, 066004, Hebei, China.
Chen WangMt. Kalamaili Ungulate Nature Reserve, Changji, 381100, Xinjiang, China.
Make EnteXinjiang Research Centre for Breeding Przewalski's Horse, Urumqi, 831700, Xinjiang, China.
Boling LiChina National Environment Monitoring Centre, Beijing, 100012, China.
Dong ZhangKey Laboratory of Non-Invasive Research Technology for Endangered Species, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China.
Kai LiKey Laboratory of Non-Invasive Research Technology for Endangered Species, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China. likai_sino@sina.com.
Beijing Forestry University · CNChina National Environmental Monitoring Center · CNChongqing Academy of Environmental Science · CNFanjingshan National Nature Reserve · CNQinhuangdao Science and Technology Bureau · CN

Funding

National Natural Science Foundation of China No. 31670538Species Project of Department for Wildlife and Forest Plants Protection, NFGA of China No. 2018123
6 · The paper itself

Abstract

backgroundThe departure of the mature larvae of the horse stomach bot fly from the host indicates the beginning of a new infection period. Gasterophilus pecorum is the dominant bot fly species in the desert steppe of the Kalamaili Nature Reserve (KNR) of northwest China as a result of its particular biological characteristics. The population dynamics of G. pecorum were studied to elucidate the population development of this species in the arid desert steppe.

methodsLarvae in the freshly excreted feces of tracked Przewalski's horses (Equus przewalskii) were collected and recorded. The larval pupation experiments were carried out under natural conditions.

resultsThere was a positive correlation between the survival rate and the number of larvae expelled (r = 0.630, p < 0.01); the correlation indicated that the species had characteristic peaks of occurrence. The main periods during which mature larvae were expelled in the feces were from early April to early May (peak I) and from mid-August to early September (peak II); the larval population curve showed a sudden increase and gradual decrease at both peaks. Under the higher temperatures of peak II, the adults developing from the larvae had a higher survival rate, higher pupation rate, higher emergence rate and shorter eclosion period than those developing from peak I larvae. Although G. pecorum has only one generation per year, its occurrence peaked twice annually, i.e. the studied population has a bimodal distribution, which doubles parasitic pressure on the local host. This phenomenon is very rarely recorded in studies on insect life history, and especially in those on parasite epidemiology.

conclusionThe period during which G. pecorum larvae are naturally expelled from the host exceeds 7 months in KNR, which indicates that there is potentially a long period during which hosts can become infected with this parasite. The phenomenon of two annual peaks of larvae expelled in feces is important as it provides one explanation for the high rate of equine myiasis in KNR.

Indexed as

Life Cycle StagesTemperatureAnimalsChinaDesert ClimateDipteraFecesFemaleHorse DiseasesHorsesLarvaMaleBimodal populationDesert steppeGasterophilus pecorumMature larvaePopulation dynamicsSurvival rate

Identifiers

PMID33648570
PMCPMC7923332
OpenAlexW3134531544

What OpenQuestion holds

Textmetadata
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.