Taxonomic and evolutionary insights from comparative genomics of hydrocarbon degrading bacteria isolated from petroleum reservoirs

被引:2
作者
Calderon-Fajardo, Alejandra [1 ,2 ]
Hidalgo, Kelly J. [1 ,2 ]
Romao, Erika A. Valoni [3 ]
Gonzales, Camila Passos Silva [3 ]
Martins, Luiz Fernando [3 ]
Oliveira, Veria Maia [1 ,2 ]
机构
[1] Univ Estadual Campinas UNICAMP, Ctr Pluridisciplinar Pesquisas Quim Biol & Agr CPQ, Divisa Recursos Microbianos, Av Alexandre Cazellato 999, BR-13148218 Paulinia, SP, Brazil
[2] Univ Estadual Campinas UNICAMP, Programa Posgrad Genet & Biol Mol, Inst Biol, Rua Monteiro Lobato 255,Cidade Univ, BR-13083862 Campinas, SP, Brazil
[3] Petrobras SA, R&D Ctr CENPES, Av Horacio Macedo,950 Cidade Univ, BR-21941915 Rio De Janeiro, RJ, Brazil
来源
JOURNAL OF HAZARDOUS MATERIALS ADVANCES | 2024年 / 15卷
关键词
Comparative genomics; Bioremediation; Oil; Metabolic pathways; 16S RIBOSOMAL-RNA; ACHROMOBACTER-XYLOSOXIDANS; CRUDE-OIL; SP-NOV; MICROBIAL-DEGRADATION; ANAEROBIC DEGRADATION; BIODEGRADATION; BIOREMEDIATION; SEQUENCE; BIOAUGMENTATION;
D O I
10.1016/j.hazadv.2024.100439
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Petroleum hydrocarbons and their derivatives are compounds widely used in several industries worldwide. Inappropriate disposal or handling of hydrocarbon-derived products may generate environmental and/or health negative impacts. Understanding the genomic traits underlying hydrocarbon degradation by microorganisms may provide valuable information to improve the use of bioremediation-based strategies for the recovery of impacted areas. In this sense, this study aimed to characterize and compare hydrocarbon-degradation genes and pathways of four bacteria isolated from deep oil reservoirs: Micrococcus sp. CBMAI 636, Dietzia maris CBMAI 705, Bacillus subtilis CBMAI 707, Achromobacter xylosoxidans CBMAI 709, via complete genome sequencing and functional annotation. In addition, phylogenetic analyses were carried out seeking to unravel the evolutionary relatedness of such functional genes to those found in different taxa and environments. Genomic analyses confirmed a high genetic potential for hydrocarbon degradation in the studied strains. Comparative genomics indicated the presence of hydrocarbon degradation genes across all strains, suggesting adaptive evolutionary convergence to hydrocarbon-affected environments. Interestingly, Achromobacter xylosoxidans CBMAI 709 exhibited unique orthologous genes that play a crucial role in the capture, uptake and/or breakdown of petroleum compounds, enhancing its adaptability to hydrocarbon-contaminated environments. These are innovative results that provide novel evolutionary insights into the diversity of hydrocarbon-degrading genes and pathways, enriching our understanding of microbial adaptation to hydrocarbon-rich habitats. The findings gathered in this study underscore the potential of these organisms for bioremediation endeavors, paving the way for future applications in environmental polluting restoration.
引用
收藏
页数:15
相关论文
共 100 条
[51]   CANT-HYD: A Curated Database of Phylogeny-Derived Hidden Markov Models for Annotation of Marker Genes Involved in Hydrocarbon Degradation [J].
Khot, Varada ;
Zorz, Jackie ;
Gittins, Daniel A. ;
Chakraborty, Anirban ;
Bell, Emma ;
Bautista, Maria A. ;
Paquette, Alexandre J. ;
Hawley, Alyse K. ;
Novotnik, Breda ;
Hubert, Casey R. J. ;
Strous, Marc ;
Bhatnagar, Srijak .
FRONTIERS IN MICROBIOLOGY, 2022, 12
[52]   Anaerobic degradation of ethylbenzene by a new type of marine sulfate-reducing bacterium [J].
Kniemeyer, O ;
Fischer, T ;
Wilkes, H ;
Glöckner, FO ;
Widdel, F .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2003, 69 (02) :760-768
[53]   The genus Dietzia: a new home for some known and emerging opportunist pathogens [J].
Koerner, Roland J. ;
Goodfellow, Michael ;
Jones, Amanda L. .
FEMS IMMUNOLOGY AND MEDICAL MICROBIOLOGY, 2009, 55 (03) :296-305
[54]   Predicting transmembrane protein topology with a hidden Markov model: Application to complete genomes [J].
Krogh, A ;
Larsson, B ;
von Heijne, G ;
Sonnhammer, ELL .
JOURNAL OF MOLECULAR BIOLOGY, 2001, 305 (03) :567-580
[55]   MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms [J].
Kumar, Sudhir ;
Stecher, Glen ;
Li, Michael ;
Knyaz, Christina ;
Tamura, Koichiro .
MOLECULAR BIOLOGY AND EVOLUTION, 2018, 35 (06) :1547-1549
[56]   PathVisio 3: An Extendable Pathway Analysis Toolbox [J].
Kutmon, Martina ;
van Iersel, Martijn P. ;
Bohler, Anwesha ;
Kelder, Thomas ;
Nunes, Nuno ;
Pico, Alexander R. ;
Evelo, Chris T. .
PLOS COMPUTATIONAL BIOLOGY, 2015, 11 (02)
[57]  
LECAM L, 1990, INT STAT REV, V58, P153
[58]   FastME 2.0: A Comprehensive, Accurate, and Fast Distance-Based Phylogeny Inference Program [J].
Lefort, Vincent ;
Desper, Richard ;
Gascuel, Olivier .
MOLECULAR BIOLOGY AND EVOLUTION, 2015, 32 (10) :2798-2800
[59]   Chemotaxis Toward Crude Oil by an Oil-Degrading Pseudomonas aeruginosa 6-1B Strain [J].
Liang, Kaiqiang ;
Gao, Ruimin ;
Wang, Chengjun ;
Wang, Weibo ;
Yan, Wei .
POLISH JOURNAL OF MICROBIOLOGY, 2021, 70 (01) :69-78
[60]   Distribution of petroleum degrading genes and factor analysis of petroleum contaminated soil from the Dagang Oilfield, China [J].
Liu, Qinglong ;
Tang, Jingchun ;
Bai, Zhihui ;
Hecker, Markus ;
Giesy, John P. .
SCIENTIFIC REPORTS, 2015, 5