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树木、真菌和细菌:响应土壤污染的根微生物组的三分体宏转录组学。

Trees, fungi and bacteria: tripartite metatranscriptomics of a root microbiome responding to soil contamination.

机构信息

Canadian Center for Computational Genomics, McGill University and Genome Quebec Innovation Center, Montréal, H3A 1A4, Canada.

Department of Human Genetics, McGill University, Montreal, H3A 1B1, Canada.

出版信息

Microbiome. 2018 Mar 21;6(1):53. doi: 10.1186/s40168-018-0432-5.

Abstract

BACKGROUND

One method for rejuvenating land polluted with anthropogenic contaminants is through phytoremediation, the reclamation of land through the cultivation of specific crops. The capacity for phytoremediation crops, such as Salix spp., to tolerate and even flourish in contaminated soils relies on a highly complex and predominantly cryptic interacting community of microbial life.

METHODS

Here, Illumina HiSeq 2500 sequencing and de novo transcriptome assembly were used to observe gene expression in washed Salix purpurea cv. 'Fish Creek' roots from trees pot grown in petroleum hydrocarbon-contaminated or non-contaminated soil. All 189,849 assembled contigs were annotated without a priori assumption as to sequence origin and differential expression was assessed.

RESULTS

The 839 contigs differentially expressed (DE) and annotated from S. purpurea revealed substantial increases in transcripts encoding abiotic stress response equipment, such as glutathione S-transferases, in roots of contaminated trees as well as the hallmarks of fungal interaction, such as SWEET2 (Sugars Will Eventually Be Exported Transporter). A total of 8252 DE transcripts were fungal in origin, with contamination conditions resulting in a community shift from Ascomycota to Basidiomycota genera. In response to contamination, 1745 Basidiomycota transcripts increased in abundance (the majority uniquely expressed in contaminated soil) including major monosaccharide transporter MST1, primary cell wall and lamella CAZy enzymes, and an ectomycorrhiza-upregulated exo-β-1,3-glucanase (GH5). Additionally, 639 DE polycistronic transcripts from an uncharacterised Enterobacteriaceae species were uniformly in higher abundance in contamination conditions and comprised a wide spectrum of genes cryptic under laboratory conditions but considered putatively involved in eukaryotic interaction, biofilm formation and dioxygenase hydrocarbon degradation.

CONCLUSIONS

Fungal gene expression, representing the majority of contigs assembled, suggests out-competition of white rot Ascomycota genera (dominated by Pyronema), a sometimes ectomycorrhizal (ECM) Ascomycota (Tuber) and ECM Basidiomycota (Hebeloma) by a poorly characterised putative ECM Basidiomycota due to contamination. Root and fungal expression involved transcripts encoding carbohydrate/amino acid (C/N) dialogue whereas bacterial gene expression included the apparatus necessary for biofilm interaction and direct reduction of contamination stress, a potential bacterial currency for a role in tripartite mutualism. Unmistakable within the metatranscriptome is the degree to which the landscape of rhizospheric biology, particularly the important but predominantly uncharacterised fungal genetics, is yet to be discovered.

摘要

背景

通过植物修复来治理受人为污染物污染的土地是一种方法,即通过种植特定作物来开垦土地。柳树等植物修复作物能够耐受甚至在污染土壤中茁壮成长,这依赖于高度复杂且主要是隐藏的微生物群落的相互作用。

方法

在这里,我们使用 Illumina HiSeq 2500 测序和从头转录组组装来观察在石油烃污染或非污染土壤中盆栽生长的柳树 purpurea cv.'Fish Creek'根中的基因表达。所有组装的 189849 个连续体都没有先验假设序列来源进行注释,并评估了差异表达。

结果

柳树 purpurea cv. 'Fish Creek' 中差异表达(DE)和注释的 839 个连续体揭示了根中生物胁迫反应设备(如谷胱甘肽 S-转移酶)转录本的大量增加,以及真菌相互作用的特征,如 SWEET2(糖最终将被运出转运蛋白)。总共 8252 个 DE 转录本来自真菌,污染条件导致从子囊菌门到担子菌门属的群落转移。为了应对污染,1745 个担子菌门转录本的丰度增加(大多数在污染土壤中唯一表达),包括主要的单糖转运蛋白 MST1、初生细胞壁和叶层 CAZy 酶以及外切-β-1,3-葡聚糖酶(GH5)。此外,639 个来自未鉴定肠杆菌科物种的差异多顺反子转录本在污染条件下的丰度更高,并且包含了广泛的基因,这些基因在实验室条件下是隐藏的,但被认为与真核生物相互作用、生物膜形成和双加氧酶烃降解有关。

结论

真菌基因表达代表了组装的大多数连续体,表明由于污染,白腐菌门的子囊菌属(主要由 Pyronema 组成)、有时是外生菌根(ECM)的子囊菌(Tuber)和 ECM 的担子菌(Hebeloma)被一种尚未确定的假定 ECM 担子菌属所取代。根和真菌的表达涉及碳水化合物/氨基酸(C/N)对话的转录本,而细菌的表达则包括生物膜相互作用和直接降低污染应激所需的装置,这可能是细菌在三方共生中发挥作用的一种货币。在宏转录组中,根际生物学的范围,特别是重要但主要尚未确定的真菌遗传学,是多么需要被发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10cc/5863371/1f10f213c35d/40168_2018_432_Fig1_HTML.jpg

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