Department of Biology, University of Maryland, College Park, MD, United States of America.
Center for Conservation Genomics, Smithsonian National Zoological Park & Conservation Biology Institute, Washington, DC, United States of America.
PLoS One. 2020 Apr 24;15(4):e0231875. doi: 10.1371/journal.pone.0231875. eCollection 2020.
Coffea arabica is a highly traded commodity worldwide, and its plantations are habitat to a wide range of organisms. Coffee farmers are shifting away from traditional shade coffee farms in favor of sun-intensive, higher yield farms, which can impact local biodiversity. Using plant-associated microorganisms in biofertilizers, particularly fungi collected from local forests, to increase crop yields has gained traction among coffee producers. However, the taxonomic and spatial distribution of many fungi in coffee soil, nearby forests and biofertilizers is unknown. We collected soil samples from a sun coffee system, shade coffee system, and nearby forest from Izalco, Sonsonate, El Salvador. At each coffee system, we collected soil from the surface (upper) and 10 cm below the surface (lower), and from the coffee plant drip line (drip line) and the walkway between two plants (walkway). Forest soils were collected from the surface only. We used ITS metabarcoding to characterize fungal communities in soil and in the biofertilizer (applied in both coffee systems), and assigned fungal taxa to functional guilds using FUNGuild. In the sun and shade coffee systems, we found that drip line soil had higher richness in pathotrophs, symbiotrophs, and saprotrophs than walkway soil, suggesting that fungi select for microhabitats closer to coffee plants. Upper and lower soil depths did not differ in fungal richness or composition, which may reflect the shallow root system of Coffea arabica. Soil from shade, sun, and forest had similar numbers of fungal taxa, but differed dramatically in community composition, indicating that local habitat differences drive fungal species sorting among systems. Yet, some fungal taxa were shared among systems, including seven fungal taxa present in the biofertilizer. Understanding the distribution of coffee soil mycobiomes can be used to inform sustainable, ecologically friendly farming practices and identify candidate plant-growth promoting fungi for future studies.
阿拉比卡咖啡是一种在全球范围内高度交易的商品,其种植园是多种生物的栖息地。咖啡种植者正在从传统的遮荫咖啡农场转向阳光充足、高产量的农场,这可能会影响当地的生物多样性。利用植物相关的微生物(特别是从当地森林中收集的真菌)作为生物肥料来提高作物产量,这种做法在咖啡生产者中越来越受欢迎。然而,咖啡土壤、附近森林和生物肥料中许多真菌的分类和空间分布尚不清楚。我们从萨尔瓦多的伊萨尔科的阳光咖啡系统、遮荫咖啡系统和附近的森林收集土壤样本。在每个咖啡系统中,我们从地表(上部)和地表以下 10 厘米(下部)以及咖啡植物滴水线(滴水线)和两株植物之间的步道(步道)收集土壤。森林土壤仅从地表收集。我们使用 ITS 宏条形码来描述土壤和生物肥料(两种咖啡系统均应用)中的真菌群落,并使用 FUNGuild 将真菌分类群分配到功能群。在阳光和遮荫咖啡系统中,我们发现滴水线土壤中的病原体、共生体和腐生菌的丰富度高于步道土壤,这表明真菌选择更靠近咖啡植物的微生境。上部和下部土壤深度在真菌丰富度或组成上没有差异,这可能反映出阿拉比卡咖啡的浅根系。遮荫、阳光和森林的土壤中真菌分类群的数量相似,但群落组成差异很大,表明当地生境差异导致系统间真菌物种的分类。然而,一些真菌分类群在系统间共享,包括生物肥料中存在的 7 种真菌分类群。了解咖啡土壤真菌组的分布情况,可以为可持续、生态友好型农业实践提供信息,并确定候选的植物生长促进真菌,用于未来的研究。