Microbial community analysis offers insight into the complex origins of plant disease in a smallholder farm context

Betsy A. Alford, Dagnachew Bekele, Sultan Yimer, Amna Fayyaz, N. Carrasquilla-Garcia, Peter L Chang, Calen Badger, Anandkumar Surendrarao, Eric J. B. von Wettberg, M. F. H. Munis, Kassahun Tesfaye, A. Fikre, Douglas R. Cook
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Abstract

Classical approaches to plant disease diagnosis assume a single pathogen/single disease paradigm. Here we revisit the presumed role of Fusarium oxysporum as the causal agent of wilting and yellowing of chickpea plants on small holder farms in Ethiopia. Contrary to expectations, detection of Fusarium DNA using conserved PCR primers failed to associate the pathogen with symptomatic plants. Instead, culture-independent sequencing of microbial communities nominated unexpected pathogens and revealed patchiness in the assembly of common microbial consortia. Surprisingly, tests of differential enrichment identified Phytophthora as the most common disease-associated taxon. More generally, across all field sites, multi-level pattern analysis identified indicator taxa whose patterns of co-occurrence demarcate discrete microbial communities and are consistent with a range of specific interactions, including mutualism and antagonism. Taken together, these data indicate that soil-borne chickpea disease in Ethiopia has heterogeneous origins, and that despite decades of emphasis and disease resistance breeding, the role of Fusarium as the frequent agent of chickpea disease in Ethiopia remains enigmatic.
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微生物群落分析有助于深入了解小农农场植物病害的复杂起源
植物病害诊断的传统方法假定病原体单一/病害单一。在此,我们重新审视了埃塞俄比亚小农场鹰嘴豆枯萎和黄化的病原镰刀菌的假定作用。与预期相反,使用保守的 PCR 引物检测镰刀菌 DNA 未能将病原体与有症状的植株联系起来。相反,对微生物群落进行的独立培养测序发现了意想不到的病原体,并揭示了常见微生物群落组装的零散性。令人惊讶的是,差异富集测试发现疫霉菌是最常见的病害相关类群。更广泛地说,在所有田间地点,多层次模式分析确定了指标类群,其共同出现的模式划分了离散的微生物群落,并与一系列特定的相互作用相一致,包括互作和拮抗。总之,这些数据表明,埃塞俄比亚的土传鹰嘴豆病有不同的起源,尽管几十年来一直在强调和培育抗病性,但镰刀菌作为埃塞俄比亚鹰嘴豆病的常见病原体,其作用仍然是个谜。
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