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香蕉巴拿马枯萎病的威胁:疾病热点、前沿和脆弱景观的制图。

The risk posed by Xanthomonas wilt disease of banana: Mapping of disease hotspots, fronts and vulnerable landscapes.

机构信息

Bioversity International, Kampala, Uganda.

Farming Systems Ecology, Wageningen University & Research, Wageningen, The Netherlands.

出版信息

PLoS One. 2019 Apr 2;14(4):e0213691. doi: 10.1371/journal.pone.0213691. eCollection 2019.

Abstract

Banana production landscapes in the African Great Lakes Region (AGLR) have been under immense pressure from Xanthomonas wilt (XW) disease over the past two decades. XW, first reported on banana in central Uganda and eastern DR Congo in 2001, has since spread to the entire AGLR. XW is currently spreading westwards from hot spots in eastern DR Congo highlands, putting the plantain (Musa AAB genome) belt of central and west Africa at risk. In-depth understanding of the key variables responsible for disease spread, current hotspots, and vulnerable landscapes is crucial for disease early warning and management. We mapped aggregated disease distribution and hotspots in the AGLR and identified vulnerable landscapes across African banana production zones. Available data on disease prevalence collected over 11 years was regressed against environmental and expert developed covariates to develop the AGLR XW hotspots map. For the Africa-wide risk map, precipitation, distance to hotspots, degree of trade in fresh banana products, production zone interconnectedness and banana genotype composition were used as covariates. In the AGLR, XW was mainly correlated to precipitation and disease/banana management. Altitude and temperature had unexpectedly low effects, possibly due to an overriding impact of tool-mediated spread which is part of the management covariate. In the AGLR, the eastern part of DR Congo was a large hotspot with highest vulnerability. Apart from endemic zones in the AGLR and Ethiopia, northern Mozambique was perceived as a moderate risk zone mainly due to the predominance of 'Bluggoe' (Musa ABB type) which is highly susceptible to insect-vectored transmission. Presence of XW hotspots (e.g. eastern DR Congo) and vulnerable areas with low (e.g. north-western Tanzania) or no disease (e.g. Congo basin, western DR Congo and northern Mozambique) pressure suggest key areas where proactive measures e.g. quarantines and information sharing on XW diagnosis, epidemiology, and control could be beneficial.

摘要

在过去的二十年中,非洲大湖区(AGLR)的香蕉生产景观一直受到黄单胞菌萎蔫病(XW)的巨大压力。XW 于 2001 年首次在乌干达中部和刚果民主共和国东部的香蕉上报道,此后已蔓延到整个 AGLR。XW 目前正从刚果民主共和国东部高地的热点向西蔓延,使中非和西非的大蕉(Musa AAB 基因组)带面临风险。深入了解导致疾病传播、当前热点和脆弱景观的关键变量对于疾病预警和管理至关重要。我们绘制了 AGLR 中聚集的疾病分布和热点,并确定了非洲香蕉生产区的脆弱景观。利用 11 年来收集的关于疾病流行率的现有数据,根据环境和专家开发的协变量进行回归,以开发 AGLR XW 热点图。对于非洲范围的风险图,使用降水、与热点的距离、新鲜香蕉产品的贸易程度、生产区的连通性和香蕉基因型组成作为协变量。在 AGLR 中,XW 主要与降水和疾病/香蕉管理相关。出乎意料的是,海拔和温度的影响较低,这可能是由于工具介导的传播的压倒性影响,这是管理协变量的一部分。在 AGLR 中,刚果民主共和国东部是一个大热点,脆弱性最高。除了 AGLR 和埃塞俄比亚的流行区外,莫桑比克北部被认为是一个中度风险区,主要是因为“Bluggoe”(Musa ABB 型)占主导地位,这种香蕉极易受到昆虫媒介传播。存在 XW 热点(例如刚果民主共和国东部)和脆弱地区(例如坦桑尼亚西北部)或没有疾病压力(例如刚果盆地、刚果民主共和国西部和莫桑比克北部)表明存在关键地区,可以采取主动措施,例如隔离和共享有关 XW 诊断、流行病学和控制的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3031/6445462/4931ee7e6cf8/pone.0213691.g001.jpg

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