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Characterization of three plant biomass-degrading microbial consortia by metagenomics- and metasecretomics-based approaches

机译:通过基于宏基因组学和超隐秘学的方法表征三种降解植物生物质的微生物群落

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摘要

The selection of microbes by enrichment on plant biomass has been proposed as an efficient way to develop new strategies for lignocellulose saccharification. Here, we report an in-depth analysis of soil-derived microbial consortia that were trained to degrade once-used wheat straw (WS1-M), switchgrass (SG-M) and corn stover (CS-M) under aerobic and mesophilic conditions. Molecular fingerprintings, bacterial 16S ribosomal RNA (rRNA) gene amplicon sequencing and metagenomic analyses showed that the three microbial consortia were taxonomically distinct. Based on the taxonomic affiliation of protein-encoding sequences, members of the Bacteroidetes (e.g. Chryseobacterium, Weeksella, Flavobacterium and Sphingobacterium) were preferentially selected on WS1-M, whereas SG-M and CS-M favoured members of the Proteobacteria (e.g. Caulobacter, Brevundimonas, Stenotrophomonas and Xanthomonas). The highest degradation rates of lignin (~59 %) were observed with SG-M, whereas CS-M showed a high consumption of cellulose and hemicellulose. Analyses of the carbohydrate-active enzymes in the three microbial consortia showed the dominance of glycosyl hydrolases (e.g. of families GH3, GH43, GH13, GH10, GH29, GH28, GH16, GH4 and GH92). In addition, proteins of families AA6, AA10 and AA2 were detected. Analysis of secreted protein fractions (metasecretome) for each selected microbial consortium mainly showed the presence of enzymes able to degrade arabinan, arabinoxylan, xylan, β-glucan, galactomannan and rhamnogalacturonan. Notably, these metasecretomes contain enzymes that enable us to produce oligosaccharides directly from wheat straw, sugarcane bagasse and willow. Thus, the underlying microbial consortia constitute valuable resources for the production of enzyme cocktails for the efficient saccharification of plant biomass.Electronic supplementary materialThe online version of this article (doi:10.1007/s00253-016-7713-3) contains supplementary material, which is available to authorized users.
机译:已经提出了通过富集植物生物量来选择微生物的方法,作为开发木质纤维素糖化新策略的有效方法。在这里,我们报告了对土壤微生物联盟的深入分析,这些联盟经过培训可以在有氧和中温条件下降解曾经使用过的麦秸(WS1-M),柳枝((SG-M)和玉米秸秆(CS-M) 。分子指纹图谱,细菌16S核糖体RNA(rRNA)基因扩增子测序和宏基因组学分析表明,三个微生物聚类在分类学上是不同的。根据蛋白质编码序列的分类学隶属关系,拟杆菌属的成员(例如,嗜细菌,周氏杆菌,黄杆菌和鞘氨醇杆菌)在WS1-M上优先选择,而SG-M和CS-M则更喜欢变形杆菌的成员(例如,Caulobacter, Brevundimonas,Stenotrophomonas和Xanthomonas)。 SG-M观察到木质素的最高降解率(〜59%),而CS-M显示出纤维素和半纤维素的高消耗量。对三个微生物联盟中的碳水化合物活性酶的分析显示了糖基水解酶(例如GH3,GH43,GH13,GH10,GH29,GH28,GH16,GH4和GH92家族)的优势。另外,检测到了AA6,AA10和AA2家族的蛋白质。对每个选定的微生物聚生体的分泌蛋白级分(metasecretome)的分析主要显示能够降解阿拉伯聚糖,阿拉伯木聚糖,木聚糖,β-葡聚糖,半乳甘露聚糖和鼠李糖半乳糖醛酸聚糖的酶的存在。值得注意的是,这些metasecretomes包含的酶使我们能够直接从麦草,甘蔗渣和柳树中生产寡糖。因此,潜在的微生物联盟构成了用于有效地植物糖化糖化酶混合物的有价值资源。电子补充材料本文的在线版本(doi:10.1007 / s00253-016-7713-3)包含补充材料,该材料为可供授权用户使用。

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