Evidence map›Paper›PMID 39392533›Full record

ArticleParasitology research2024

Identification of Haemoproteus infection in an imported grey crowned crane (Balearica regulorum) in China.

Xuejuan Shen, Junqiong Zhai, Yiliang Li, Yingde Gan, Xianghui Liang, Haiqiong Yu, Lu Zhang, David M Irwin, Yongyi Shen, Wu Chen

Abstract read
In one paragraph

Article in Parasitology research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Characterization of co-infections of haemosporidian parasites in SwinhoeCurrent research in parasitology & vector-borne diseases · 2025
    Article
  3. 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

10 authors.

Xuejuan Shen *State Key Laboratory for Animal Disease Control and Prevention, Guangdong Laboratory for Lingnan Modern Agriculture, Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China.
Junqiong Zhai *Guangzhou Zoo & Guangzhou Wildlife Research Center, Guangzhou, 510070, China.
Yiliang LiState Key Laboratory for Animal Disease Control and Prevention, Guangdong Laboratory for Lingnan Modern Agriculture, Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China.
Yingde GanState Key Laboratory for Animal Disease Control and Prevention, Guangdong Laboratory for Lingnan Modern Agriculture, Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China.
Xianghui LiangState Key Laboratory for Animal Disease Control and Prevention, Guangdong Laboratory for Lingnan Modern Agriculture, Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China.
Haiqiong YuGuangzhou Customs District Technology Center, Guangzhou, 510623, China.
Lu ZhangGuangzhou Customs District Technology Center, Guangzhou, 510623, China.
David M IrwinDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, M5S1A8, Canada.
Yongyi ShenState Key Laboratory for Animal Disease Control and Prevention, Guangdong Laboratory for Lingnan Modern Agriculture, Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China.
Wu ChenGuangzhou Zoo & Guangzhou Wildlife Research Center, Guangzhou, 510070, China. guangzhouchenwu@sina.com.

Funding

Department of Education of Guangdong Province 2019KCXTD001Guangdong Major Project of Basic and Applied Basic Research 2020B0301030007Guangdong Provincial Key R&D Program 2022B1111040001Guangdong Science and Technology Innovation Leading Talent Program 2019TX05N098Laboratory of Lingnan Modern Agriculture Project NT2021007the 111 Center D20008the double first-class discipline promotion project 2023B10564003
6 · The paper itself

Abstract

Blood parasites from the order Haemosporida infect many vertebrates and cause malaria-like diseases. In this study, a haemosporidian infection was detected in a sick grey crowned crane imported into China using a combination of morphological and molecular approaches. Blood samples were collected from the jugular vein and processed for morphological identification of infective parasites using stained blood smears and microscopy. No merogony occurs in the blood cells, and sporadic pigment granules were observed. Nested-PCR assays were employed for a molecular examination, which indicated that the cytb gene of this parasite had 94.1-94.9% identity to Haemoproteus antigonis. Subsequently, its mitochondrial genome structure was determined by high-throughput sequencing using the DNBSEQ-T7 platform. The determined structure was confirmed by the Sanger sequencing using amplicons. The mitochondrial genome obtained for this parasite exhibited a low CG content (32.0%) and possessed three protein-coding genes, encoding 1068 amino acids, which constituted 53.7% of the genome. Phylogenetic analysis indicated that this parasite clustered with Haemoproteus sp. is detected in grey crowned cranes from Africa. This parasite was likely acquired during importation of this animal; thus, strict quarantine of imported ornamental animals is required to prevent the entry of new pathogens.

Indexed as

Bird DiseasesBirdsHaemosporidaPhylogenyProtozoan Infections, AnimalAnimalsChinaCytochromes bGenome, MitochondrialHigh-Throughput Nucleotide SequencingPolymerase Chain ReactionCytochromes bAnimal tradeGrey crowned craneHaemosporidaZoo animal

Identifiers

PMID39392533
PMCPMC11469997

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.