印度哈里亚纳邦猪星状病毒的全基因组测序和分子特征

IF 2.6 4区医学 Q3 INFECTIOUS DISEASES

Infection Genetics and Evolution Pub Date : 2025-08-27 DOI:10.1016/j.meegid.2025.105816

Ritu Panghal , Parveen Kumar , Sanjeevna K. Minhas , Raman Mehtani , Sweety Kalonia , Deepika Sheoran , Pawan Kumar , Akhil K. Gupta , Rajesh Chhabra , Naresh Jindal

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引用次数: 0

摘要

猪星状病毒（PAstV）是一种属于星状病毒科和乳腺病毒属的肠道病原体，分为5个不同的基因型（PAstV1-PAstV5）。世界上几个国家的猪中已经报告了PAstV。在印度，关于PAstV遗传特征的报道有限。目前的研究旨在描述来自印度北部哈里亚纳邦的PAstV的全基因组特征。最初，使用针对部分RdRp区域的RT-PCR筛选70份猪粪便样本，以检测PAstV的存在。选择三个pastv阳性样本，通过RT-PCR成功扩增出两个重叠片段的完整基因组：A片段（~ 3.6 kb）和B片段（~ 3.1 kb）。基于全核苷酸序列的系统发育分析显示，PV247173和PV247174属于PAstV1类群，PV455027属于PAstV4类群。ORF2氨基酸序列分析显示，只有PV247173属于PAstV1， PV455027和PV247174属于PAstV4。本研究首次报道了印度北部PAstV的全基因组分子特征。

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Whole genome sequencing and molecular characterization of porcine astrovirus from Haryana, India

Porcine astrovirus (PAstV) is an enteropathogen that belongs to the family Astroviridae and the genus Mamastrovirus, and is divided into five distinct genotypes (PAstV1-PAstV5). PAstV has been reported in pigs from several countries worldwide. In India, there are limited reports of genetic characterization of PAstV. The present study aimed to characterize the whole genome of PAstV from Haryana, a state in Northern India. Initially, 70 porcine fecal samples were screened for the presence of PAstV using RT-PCR that targeted the partial RdRp region. Three PAstV-positive samples were selected and their complete genomes successfully amplified by RT-PCR in two overlapping segments: segment A (∼3.6 kb) and segment B (∼3.1 kb). The phylogenetic analysis of PAstV, based on complete nucleotide sequences, revealed that PV247173 and PV247174 clustered within the PAstV1 group, whereas PV455027 clustered within the PAstV4 group. In contrast, analysis of the ORF2 amino acid sequence revealed that only PV247173 was classified in PAstV1, while PV455027 and PV247174 were classified in PAstV4. This study reports the first whole-genome molecular characterization of PAstV from Northern India.

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来源期刊

Infection Genetics and Evolution 医学-传染病学

CiteScore

8.40

自引率

0.00%

发文量

215

审稿时长

82 days

期刊介绍： (aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID) Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance. However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors. Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases. Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .