Evidence map›Paper›PMID 33121531›Full record

ArticleParasites & vectors2020

First detection and molecular identification of Babesia sp. from the giant panda, Ailuropoda melanoleuca, in China.

Chanjuan Yue, Zeshuai Deng, Dunwu Qi, Yunli Li, Wenlei Bi, Rui Ma, Guangyou Yang, Xue Luo, Rong Hou, Songrui Liu

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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  8. A snapshot of climate drivers and temporal variation ofInternational journal for parasitology. Parasites and wildlife · 2023
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  9. Cross-sectional analysis ofFrontiers in veterinary science · 2023
    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

10 authors at 2 institutions in 1 country.

Chanjuan YueSichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Sichuan Academy of Giant Panda, 1375 Panda Road, Chenghua District, 610081, Sichuan, China.
Zeshuai DengSichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Sichuan Academy of Giant Panda, 1375 Panda Road, Chenghua District, 610081, Sichuan, China.
Dunwu QiSichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Sichuan Academy of Giant Panda, 1375 Panda Road, Chenghua District, 610081, Sichuan, China.
Yunli LiSichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Sichuan Academy of Giant Panda, 1375 Panda Road, Chenghua District, 610081, Sichuan, China.
Wenlei BiSichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Sichuan Academy of Giant Panda, 1375 Panda Road, Chenghua District, 610081, Sichuan, China.
Rui MaSichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Sichuan Academy of Giant Panda, 1375 Panda Road, Chenghua District, 610081, Sichuan, China.
Guangyou YangCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
Xue LuoCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
Rong HouSichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Sichuan Academy of Giant Panda, 1375 Panda Road, Chenghua District, 610081, Sichuan, China. 405536517@qq.com.
Songrui LiuSichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Sichuan Academy of Giant Panda, 1375 Panda Road, Chenghua District, 610081, Sichuan, China. srui_liu@163.com.ORCID http://orcid.org/0000-0002-7311-9286
Chengdu Research Base of Giant Panda Breeding · CNSichuan Agricultural University · CN

Funding

Supported by Chengdu Research Base of Giant Panda Breeding 2020CPB-C11
6 · The paper itself

Abstract

backgroundParasitic infections are among the important causes of death of giant pandas (Ailuropoda melanoleuca) that hamper their survival in the wild. There are about 35 species of parasites which have been identified in giant pandas, but no information is currently available regarding the infection of Babesia in giant pandas. Babesia spp. are common intraerythrocytic parasite in wildlife, transmitted by ixodid ticks, which cause babesiosis. Clinical signs of babesiosis include fever, hemolysis, anemia, jaundice and death.

methodsA species of Babesia was detected in the blood of a giant panda based on morphology and PCR amplification of the 18S rRNA gene. The phylogenetic relationship of Babesia sp. infecting giant panda was assessed by gene sequence alignment and phylogenetic analysis.

resultsOur analysis revealed that the Babesia isolate detected was most similar to an unidentified species of Babesia identified in black bears (Ursus thibetanus japonicus) from Japan (Babesia sp. Iwate, AB586027.1) with a 99.56% sequence similarity, followed by Babesia sp. EBB (AB566229.1, 99.50%) and Babesia sp. Akita (AB566229.1, 99.07%).

conclusionsTo our knowledge, this is the first report of Babesia detected in the giant panda. The results indicate that this Babesia sp. may be a novel species, currently named Babesia sp. strain EBP01.

Indexed as

PhylogenyAnimalsBabesiaBabesiosisChinaFemaleRNA, Ribosomal, 18SSequence AlignmentUrsidaeRNA, Ribosomal, 18S18S rRNA geneailuropoda melanoleucaBabesiaGiant pandaPhylogenetic tree

Identifiers

PMID33121531
PMCPMC7597363
OpenAlexW3096208222

What OpenQuestion holds

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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.