Kocharovskaya Yulia, Delegan Yanina, Sevostianov Sergei, Bogun Alexander, Demin Dmitry V
Institute of Biochemistry and Physiology of Microorganisms, Federal Research Center "Pushchino Scientific Center for Biological Research of Russian Academy of Sciences" (FRC PSCBR RAS), 142290, Pushchino, Moscow Region, Russia.
Academy of Biology and Biotechnology behalf D.I. Ivanovskyi, Southern Federal University, 344006, Rostov-on-Don, Russia.
Curr Microbiol. 2025 Jun 2;82(7):320. doi: 10.1007/s00284-025-04308-9.
Thousands of tons of waste accumulate, as a result of the activities of the pulp and paper industry, which is often stored in the form of dumps. However, intensifying the use of lignocellulose for more efficient bioremediation remains highly challenging. Therefore, the study of microbiomes with potentially desirable characteristics for the decomposition of pulp and paper wastes is currently an important task. In this study, a comprehensive assessment of the microbiota biodiversity of these dumps was carried out using high-throughput, high-resolution sequencing. In study 472 million high-quality clean reads assembled into 6,413,337 contigs with a total length of 4306 Mb, of which 3,633,174 open reading frames (ORFs) were identified. The core microbiome was composed of four phyla from Proteobacteria, Actinobacteria, Bacteroidetes, and Verrucomicrobia. Representatives of phylum Proteobacteria prevailed in samples. Annotation using the KEGG database in the Metabolism category resulted in 654,234 ORFs and 5138 ORFs encoding enzymes/proteins involved in degradation of lignocellulose which formed main pool of the wastes. By use of the created database, the search for lignocellulose degradation genes showed that genera Shewanella, Achromobacter, and Delftia covered significant part of the reads. The results indicate that the established microbiome of local landfills can be considered as an important source for improving lignocellulose bioremediation, provided that lignocellulosic fungi are sufficiently active. In whole, these new data can be used as a scientific basis to form an efficient eco-biotechnology for auto-remediation of pulp and paper industry waste.
由于制浆造纸工业的活动，数千吨废物堆积起来，这些废物通常以垃圾场的形式储存。然而，加强木质纤维素的利用以实现更高效的生物修复仍然极具挑战性。因此，研究具有分解制浆造纸废物潜在理想特性的微生物群落是当前的一项重要任务。在本研究中，利用高通量、高分辨率测序对这些垃圾场的微生物群落生物多样性进行了全面评估。在研究中，4.72亿条高质量的清洁 reads 组装成6413337个重叠群，总长度为4306 Mb，其中鉴定出3633174个开放阅读框（ORF）。核心微生物群落由变形菌门、放线菌门、拟杆菌门和疣微菌门的四个门组成。变形菌门的代表在样本中占主导地位。使用KEGG数据库在代谢类别中进行注释，结果有654234个ORF和5138个ORF编码参与木质纤维素降解的酶/蛋白质，木质纤维素构成了废物的主要成分。通过使用创建的数据库，对木质纤维素降解基因的搜索表明，希瓦氏菌属、无色杆菌属和代尔夫特菌属覆盖了很大一部分 reads。结果表明，只要木质纤维素真菌具有足够的活性，当地垃圾填埋场已建立的微生物群落可被视为改善木质纤维素生物修复的重要来源。总体而言，这些新数据可作为科学依据，形成一种高效的生态生物技术，用于制浆造纸工业废物的自动修复。
