category
bioRxiv
date
Feb 25, 2026
slug
status
Published
summary
创新性应用MLMT技术揭示L. infantum遗传多样性,发现三个高度分化群体(PopA/PopB/PopC),首次明确TL相关菌株存在独立进化分支,强调One Health监测对利什曼病流行病学研究的重要性。
tags
测序技术
type
Post
📄 原文题目
Multilocus microsatellite typing (MLMT) reveals high genetic diversity of Leishmania infantum strains causing tegumentary leishmaniasis in northern Italy
🔗 原文链接
💡 AI 核心解读
创新性应用MLMT技术揭示L. infantum遗传多样性,发现三个高度分化群体(PopA/PopB/PopC),首次明确TL相关菌株存在独立进化分支,强调One Health监测对利什曼病流行病学研究的重要性。
📝 英文原版摘要
Background Tegumentary leishmaniasis (TL) caused by Leishmania infantum has re-emerged in northern Italy, raising questions about the genetic diversity and population structure of circulating parasites and their potential role in shaping different clinical outcomes. Methodology/Principal findings Multilocus microsatellite typing (MLMT) based on 15 polymorphic loci was applied to 44 L. infantum strains obtained from TL cases diagnosed between 2013 and 2024 in the Emilia-Romagna region. These strains were compared with sympatric isolates from VL cases, dogs and sand flies. MLMT revealed a considerable genetic variation among TL-associated strains, with 43 distinct multilocus genotypes identified. Population structure analyses using Bayesian clustering, multivariate approaches and phylogenetic reconstruction consistently identified three highly differentiated genetic populations (Fst >0.25). TL strains were divided into two main populations: one shared with VL-associated strains (PopB; 9/44) and a second population found exclusively among TL cases (PopC; 28/44). In contrast, the canine-associated population (PopA) showed no overlap with TL cases in this region. Populations also displayed divergent heterozygosity patterns, as indicated by positive and negative Fis values. Conclusions/Significance These findings revealed previously unknown diversity within L. infantum in the study area and demonstrated that inclusion of tegumentary strains is essential to uncover hidden components of parasite population structure. The identification of a TL-associated population supports the existence of multiple evolutionary pathways and emphasises the importance of integrated One Health surveillance, which combines data from humans, animal hosts and vectors to improve understanding of the
epidemiology of leishmaniasis in Italy.
- 作者:NotionNext
- 链接:https://tangly1024.com/article/31348bd6-1f96-8153-ab7f-cbb97b3dc381
- 声明:本文采用 CC BY-NC-SA 4.0 许可协议,转载请注明出处。
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