Abstract
Background
The genus Microbacterium belongs to the family Microbacteriaceae and phylum Actinobacteria. A detailed study on the complete genome and systematic comparative analysis of carbohydrate-active enzyme (CAZyme) among the Microbacterium species would add knowledge on metabolic and environmental adaptation. Here we present the comparative genomic analysis of CAZyme using the complete genome of Antarctic Microbacterium sp. PAMC28756 with other complete genomes of 31 Microbacterium species available.
Objective
The genomic and CAZyme comparison of Microbacterium species and to rule out the specific features of CAZyme for the environmental and metabolic adaptation.
Methods
Bacterial source were collected from NCBI database, CAZyme annotation of Microbacterium species was analyzed using dbCAN2 Meta server. Cluster of orthologous groups (COGs) analysis was performed using the eggNOG4.5 database. Whereas, KEGG database was used to compare and obtained the functional genome annotation information in carbohydrate metabolism and glyoxylate cycle.
Results
Out of 32 complete genomes of Microbacterium species, strain No. 7 isolated from Activated Sludge showed the largest genomic size at 4.83 Mb. The genomic size of PAMC28756 isolated from Antarctic lichen species Stereocaulons was 3.54 Mb, the G + C content was 70.4% with 3,407 predicted genes, of which 3.36% were predicted CAZyme. In addition, while comparing the Glyoxylate cycle among 32 bacteria, except 10 strains, all other, including our strain have Glyoxylate pathway. PAMC28756 contained the genes that degrade cellulose, hemicellulose, amylase, pectinase, chitins and other exo-and endo glycosidases. Utilizing these polysaccharides can provides source of energy in an extreme environment. In addition, PAMC28756 assigned the (10.15%) genes in the carbohydrate transport and metabolism functional group closely related to the CAZyme for polysaccharides degradation.
Conclusions
The genomic content and CAZymes distribution was varied in Microbacterium species. There was the presence of more than 10% genes in the carbohydrate transport and metabolism functional group closely related to the CAZyme for polysaccharides degradation. In addition, occurrence of glyoxylate cycle for alternative utilization of carbon sources suggest the adaptation of PAMC28756 in the harsh microenvironment.
Similar content being viewed by others
References
Ahn S, Jung J, Jang IA, Madsen EL, Park W (2016) Role of glyoxylate shunt in oxidative stress response. J Biol Chem 291:11928–11938
Álvarez C, Reyes-Sosa FM, Díez B (2016) Enzymatic hydrolysis of biomass from wood. Microbiol Biotechnol 9:149–156
Barbeyron T, Thomas F, Barbe V, Teeling H, Schenowitz C, Dossat C, Goesmann A, Leblanc C, Glöckner FO, Czjzek M, Amann R, Michel G (2016) Habitat and taxon as driving forces of carbohydrate catabolism in marine heterotrophic bacteria: example of the model algae-associated bacterium Zobellia galactanivorans DsijT. Environ Microbiol 18:4610–4627
Battaglia E, Benoit I, van den Brink J, Wiebenga A, Coutinho PM, Henrissat B, de Vries RP (2011) Carbohydrate-active enzymes from the zygomycete fungus Rhizopus oryzae: a highly specialized approach to carbohydrate degradation depicted at genome level. BMC Genom 12:38
Biely P (2012) Microbial carbohydrate esterases deacetylating plant polysaccharides. Biotechnol Adv 30:1575–1588
Blackman LM, Cullerne DP, Hardham AR (2014) Bioinformatic characterisation of genes encoding cell wall degrading enzymes in the Phytophthora parasitica genome. BMC Genom 15:785
Boncan DA, David AME, Lluisma AO (2018) A CAZyme-rich genome of a taxonomically novel rhodophyte-associated carrageenolytic marine bacterium. Mar Biotechnol (NY) 20:685–705
Boyle NR, Morgan JA (2009) Flux balance analysis of primary metabolism in Chlamydomonas reinhardtii. BMC Syst Biol 3:4
Broeker J, Mechelke M, Baudrexl M, Mennerich D, Hornburg D, Mann M, Schwarz WH, Liebl W, Zverlov VV (2018) The hemicellulose-degrading enzyme system of the thermophilic bacterium Clostridium stercorarium: Comparative characterisation and addition of new hemicellulolytic glycoside hydrolases. Biotechnol Biofuels 11:229
Brumm PJ (2013) Bacterial genomes: What they teach us about cellulose degradation. Biofuels 4:669–681
Bruno S, Coppola D, di Prisco G, Giordano D, Verde C (2019) Enzymes from marine polar regions and their biotechnological applications. Mar Drugs 17:544
Cantarel BL, Coutinho PM, Rancurel C, Bernard T, Lombard V, Henrissat B (2009) The carbohydrate-active enzymes database (CAZy): an expert resource for glycogenomics. Nucleic Acids Res 37:D233–D238
Chernysheva N, Bystritskaya E, Stenkova A, Golovkin I, Nedashkovskaya O, Isaeva M (2019) Comparative genomics and CAZyme genome repertoires of marine Zobellia amurskyensis KMM 3526T and Zobellia laminariae KMM 3676T. Mar Drugs 17:661
Colston SM, Fullmer MS, Bekass L, Lamy B, Gogarten JP, Graf J (2014) Bioinformatic genome comparisons for taxonomic and phylogenetic assignments using aeromonas as a test case. Mbio 5:e02136
Corretto E, Antonielli L, Sessitsch A, Höfer C, Puschenreiter M, Widhalm S, Swarnalakshmi K, Brader G (2020) Comparative genomics of Microbacterium species to reveal diversity, potential for secondary metabolites and heavy metal resistance. Front Microbiol 11:1869
Dalmaso GZ, Ferreira D, Vermelho AB (2015) Marine extremophiles: a source of hydrolases for biotechnological applications. Mar Drugs 13:1925–1965
de Souza PM, de Oliveira MP (2010) Application of microbial α-amylase in industry-a review. Braz J Microbiol 41:850–861
El-Gebali S, Mistry J, Bateman A, Eddy SR, Luciani A, Potter SC, Qureshi M, Richardson LJ, Salazar GA, Smart A, Sonnhammer ELL, Hirsh L, Paladin L, Piovesan D, Tosatto SCE, Finn RD (2019) The Pfam protein families database in 2019. Nucleic Acids Res 47:D427–D432
Evtushenko LI, Takeuchi M (2006) The family microbacteriaceae. Prokaryotes 3:1020–1098
Galperin MY, Kristensen DM, Makarova KS, Wolf YI, Koonin EV (2019) Microbial genome analysis: the COG approach. Brief Bioinform 20:1063–1070
Gao M, Wang M, Zhang YC, Zou XL, Xie LQ, Hu HY, Xu J, Gao JL, Sun JG (2013) Microbacterium neimengense sp. nov., isolated from the rhizosphere of maize. Int J Syst Evol Microbiol 63:236–240
Gibbs M, Gfeller RP, Chen C (1986) Fermentative metabolism of Chlamydomonas reinhardii: III. Photoassimilation of acetate. Plant Physiol 82:160–166
Goris J, Konstantinidis KT, Klappenbach JA, Coenye T, Vandamme P, Tiedje JM (2007) DNA–DNA hybridization values and their relationship to whole-genome sequence similarities. Int J Syst Evol Microbiol 57:81–91
Goward CR, Nicholls DJ (1994) Malate dehydrogenase: a model for structure, evolution, and catalysis. Protein Sci 3:1883–1888
Grube M, Berg G (2009) Microbial consortia of bacteria and fungi with focus on the lichen symbiosis. Fungal Biol Rev 23:72–85
Gupta R, Gigras P, Mohapatra H, Goswami VK, Chauhan B (2003) Microbial α-amylases: a biotechnological perspectivem. Proc Biochem 38:1599–1616
Han SR, Kim KH, Ahn DH, Park H, Oh TJ (2016) Complete genome sequence of carotenoid-producing Microbacterium sp. strain PAMC28756 isolated from an Antarctic lichen. J Biotechnol 226:18–19
Han SR, Kim DW, Kim B, Chi YM, Kang SH, Park H, Jung SH, Lee JH, Oh TJ (2019) Complete genome sequencing of Shigella sp. PAMC 28760: Identification of CAZyme genes and analysis of their potential role in glycogen metabolism for cold survival adaptation. Microb Pathog 137:103759
Han SR, Jang SM, Chi YM, Kim B, Jung SH, Lee YM, Uetake J, Lee JH, Park H, Oh TJ (2020) Complete genome sequence of Sphingobium sp. strain PAMC 28499 reveals a potential for degrading pectin with comparative genomics approach. Genes Genom 42:1087–1096
Harvey AJ, Hrmova M, De Gori R, Varghese JN, Fincher GB (2000) Comparative modeling of the three-dimensional structures of family 3 glycoside hydrolases. Proteins 41:257–269
Henrissat B, Claeyssens M, Tomme P, Lemesle L, Mornon JP (1989) Cellulase families revealed by hydrophobic cluster analysis. Gene 81:83–95
Huerta-Cepas J, Szklarczyk D, Forslund K, Cook H, Heller D, Walter MC, Rattei T, Mende DR, Sunagawa S, Kuhn M, Jensen LJ, von Mering C, Bork P (2016) eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences. Nucleic Acids Res 44:D286–D293
Hwang SY, Nakashima K, Okai N, Okazaki F, Miyake M, Harazono K, Ogino C, Kondo A (2013) Thermal stability and starch degradation profile of α-amylase from Streptomyces avermitilis. Biosci Biotechnol Biochem 77:2449–2453
Johnson JS, Spakowicz DJ, Hong BY, Petersen LM, Demkowicz P, Chen L, Leopold SR, Hanson BM, Agresta HO, Gerstein M, Sodergren E, Weinstock GM (2019) Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis. Nat Commun 10:5029
Kanehisa M, Goto S, Kawashima S, Okuno Y, Hattori M (2004) The KEGG resource for deciphering the genome. Nucleic Acids Res 32:D277–D280
Kim SJ, Yim JH (2007) Cryoprotective properties of exopolysaccharide (P-21653) produced by the Antarctic bacterium, Pseudoalteromonas arctica KOPRI 21653. J Microbiol 45:510–514
Kim EJ, Fathoni A, Jeong GT, Jeong HD, Nam TJ, Kong IS, Kim JK (2013) Microbacterium oxydans, a novel alginate- and laminarin-degrading bacterium for the reutilization of brown-seaweed waste. J Environ Manage 130:153–159
Kornberg HL (1966) The role and control of the glyoxylate cycle in Escherichia coli. Biochem J 99:1–11
Lee RC, Hrmova M, Burton RA, Lahnstein J, Fincher GB (2003) Bifunctional family 3 glycoside hydrolases from barley with α-l-arabinofuranosidase and β-d-xylosidase activity characterization, primary structures, and cooh-terminal processing. J Biol Chem 278:5377–5387
Lee YM, Kim EH, Lee HK, Hong SG (2014) Biodiversity and physiological characteristics of Antarctic and Arctic lichens-associated bacteria. World J Microbiol Biotechnol 30:2711–2721
Liu G, Wu S, Jin W, Sun C (2016) Amy63, a novel type of marine bacterial multifunctional enzyme possessing amylase, agarase and carrageenase activities. Sci Rep 6:18726
Lombard V, Golaconda Ramulu H, Drula E, Coutinho PM, Henrissat B (2014) The carbohydrate-active enzymes database (CAZy) in 2013. Nucleic Acids Res 42:D490–D495
Loperena L, Soria V, Varela H, Lupo S, Bergalli A, Guigou M, Pellegrino A, Bernardo A, Calviño A, Rivas F, Batista S (2012) Extracellular enzymes produced by microorganisms isolated from maritime Antarctica. World J Microbiol Biotechnol 28:2249–2256
López-Mondéjar R, Zühlke D, Becher D, Riedel K, Baldrian P (2016) Cellulose and hemicellulose decomposition by forest soil bacteria proceeds by the action of structurally variable enzymatic systems. Sci Rep 6:25279
Maloy SR, Bohlander MA, Nunn WD (1980) Elevated levels of glyoxylate shunt enzymes in Escherichia coli strains constitutive for fatty acid degradation. J Bacteriol 143:720–725
Marchler-Bauer A, Bo Y, Han L, He J, Lanczycki CJ, Lu S, Chitsaz F, Derbyshire MK, Geer RC, Gonzales NR, Gwadz M, Hurwitz DI, Lu F, Marchler GH, Song JS, Thanki N, Wang Z, Yamashita RA, Zhang D, Zheng C, Geer LY, Bryant SH (2017) CDD/SPARCLE: functional classification of proteins via subfamily domain architectures. Nucleic Acids Res 45:D200–D203
Meng YC, Liu HC, Yang LL, Kang YQ, Zhou YG, Cai M (2016) Microbacterium sorbitolivorans sp. nov., a novel member of Microbacteriaceae isolated from fermentation bed in pigpen. Int J Syst Evol Microbiol 66:5556–5561
Mohite BV, Kamalja KK, Patil SV (2012) Statistical optimization of culture conditions for enhanced bacterial cellulose production by Gluconoacetobacter hansenii NCIM 2529. Cellulose 19:1655–1666
Molenaar D, van der Rest ME, Petrović S (1998) Biochemical and genetic characterization of the membrane-associated malate dehydrogenase (acceptor) from Corynebacterium glutamicum. Eur J Biochem 254:395–403
Montella S, Ventorino V, Lombard V, Henrissat B, Pepe O, Faraco V (2017) Discovery of genes coding for carbohydrate-active enzyme by metagenomic analysis of lignocellulosic biomasses. Sci Rep 7:42623
Munir RI, Schellenberg J, Henrissat B, Verbeke TJ, Sparling R, Levin DB (2014) Comparative analysis of carbohydrate active enzymes in Clostridium termitidis CT1112 reveals complex carbohydrate degradation ability. PLoS ONE 9:e104260
Park YJ, Jeong YU, Kong WS (2018) Genome sequencing and carbohydrate-active enzyme (CAZyme) repertoire of the white rot fungus Flammulina elastica. Int J Mol Sci 19:2379
Park C, Shin B, Park W (2019) Alternative fate of glyoxylate during acetate and hexadecane metabolism in Acinetobacter oleivorans DR1. Sci Rep 9:14402
Puckett S, Trujillo C, Wang Z, Eoh H, Loerger TR, Krieger I, Sacchettini J, Schnappinger D, Rhee KY, Ehrt S (2017) Glyoxylate detoxification is an essential function of malate synthase required for carbon assimilation in Mycobacterium tuberculosis. Proc Natl Acad Sci USA 114:E2225–E2232
Qian F, An L, Wang M, Li C, Li X (2007) Isolation and characterization of a xanthan-degrading Microbacterium sp. strain XT11 from garden soil. J Appl Microbiol 102:1362–1371
Rajput KN, Patel KC, Trivedi UB (2016) β-cyclodextrin production by cyclodextrin glucanotransferase from an alkaliphile Microbacterium terrae KNR 9 using different starch substrates. Biotechnol Res Int 2016:2034359
Raveendran S, Parameswaran B, Beevi Ummalyma SB, Abraham A, Mathew AK, Madhavan A, Rebello S, Pandey A (2018) Applications of microbial enzymes in food industry. Food Technol Biotechnol 56:16–30
Rodriguez-Sanoja R, Ruiz B, Guyot JP, Sanchez S (2005) Starch-binding domain affects catalysis in two Lactobacillus α-amylases. Appl Environ Microbiol 71:297–302
Russell NJ (1998) Molecular adaptations in psychrophilic bacteria: potential for biotechnological applications. Adv Biochem Eng Biotechnol 61:1–21
Rytioja J, Hildén K, Yuzon J, Hatakka A, de Vries RP, Mäkelä MR (2014) Plant-polysaccharide-degrading enzymes from Basidiomycetes. Microbiol Mol Biol Rev 78:614–649
Saha BC (2003) Hemicellulose bioconversion. J Ind Microbiol Biotechnol 30:279–291
Selbmann L, Onofri S, Fenice M, Federici F, Petruccioli M (2002) Production and structural characterization of the exopolysaccharide of the Antarctic fungus Phoma herbarum CCFEE 5080. Res Microbiol 153:585–592
Sharma A, Tewari R, Rana SS, Soni R, Soni SK (2016) Cellulases: classification, methods of determination and industrial applications. Appl Biochem Biotechnol 179:1346–1380
Shoseyov O, Shani Z, Levy I (2006) Carbohydrate binding modules: biochemical properties and novel applications. Microbiol Mol Biol Rev 70:283–295
Singh R, Lemire J, Mailloux RJ, Appanna VD (2008) A novel strategy involved anti-oxidative defense: the conversion of NADH into NADPH by a metabolic network. PLoS ONE 3:e2682
Sista Kameshwar AK, Qin W (2017) Comparative study of genome-wide plant biomass-degrading CAZymes in white rot, brown rot and soft rot fungi. Mycology 9:93–105
Spribille T, Tagirdzhanova G, Goyette S, Tuovinen V, Case R, Zandberg WF (2020) 3D biofilms: in search of the polysaccharides holding together lichen symbioses. FEMS Microbiol Lett 367:fnaa023
Stam MR, Danchin EG, Rancurel C, Coutinho PM, Henrissat B (2006) Dividing the large glycoside hydrolase family 13 into subfamilies: towards improved functional annotations of α-amylase-related proteins. Protein Eng Des Sel 19:555–562
Sun Z, Liu H, Wang X, Yang F, Li X (2019) Proteomic analysis of the xanthan-degrading pathway of Microbacterium sp. XT11. ACS Omega 4:19096–19105
Tsuzukibashi O, Uchibori S, Kobayashi T, Saito M, Umezawa K, Ohta M, Shinozaki-Kuwahara N (2015) A selective medium for the isolation of Microbacterium species in oral cavities. J Microbiol Methods 116:60–65
Valk V, Eeuwema W, Sarian FD, van der Kaaij RM, Dijkhuizen L (2015) Degradation of granular starch by the bacterium Microbacterium aurum strain B8.A involves a modular α-amylase enzyme system with FNIII and CBM25 domains. Appl Environ Microbiol 81:6610–6620
Walton JD (1994) Deconstructing the cell wall. Plant Physiol 104:1113–1118
Wang ZY, Wang RX, Zhou JS, Cheng JF, Li YH (2020) An assessment of the genomics, comparative genomics and cellulose degradation potential of Mucilaginibacter polytrichastri strain RG4-7. Bioresour Technol 297:122389
Wright RR, Hobbie JE (1966) Use of glucose and acetate by bacteria and algae in aquatic ecosystems. Ecology 47:447–464
Xie Z, Lin W, Luo J (2017) Comparative phenotype and genome analysis of Cellvibrio sp. PR1, a xylanolytic and agarolytic bacterium from the Pearl river. Biomed Res Int 2017:6304248
Xu T, Qi M, Liu H, Cao D, Xu C, Wang L, Qi B (2020) Chitin degradation potential and whole-genome sequence of Streptomyces diastaticus strain CS1801. AMB Express 10:29
Zeng X, Small DP, Wan W (2011) Statistical optimization of culture conditions for bacterial cellulose production by Acetobacter xylinum BPR 2001 from maple syrup. Carbohydr Polym 85:506–513
Zerillo MM, Adhikari BN, Hamilton JP, Buell CR, Lévesque CA, Tisserat N (2013) Carbohydrate-active enzymes in pythium and their role in plant cell wall and storage polysaccharide degradation. PLoS ONE 8:e72572
Zhang S, Bryant DA (2015) Biochemical validation of the glyoxylate cycle in the cyanobacterium Chlorogloeopsis fritschii strain PCC 9212. J Biol Chem 290:14019–14030
Acknowledgements
This research was a part of the project titled “Development of potential antibiotic compounds using polar organism resources (15250103, KOPRI Grant PM21030)”, funded by the Ministry of Oceans and Fisheries, Korea.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
13258_2022_1254_MOESM1_ESM.xlsx
Table S1: list of bacterial Gene Bank accession number and strains deposited in National Center for Biotechnology Information (NCBI). Table S2: Comparison of genomic characteristic between the complete genomes of Microbacterium species. Table S3: The functional classification of COG genes. Table S4: Prediction of carbohydrate metabolism genes and pathways in 32 complete genome of Microbacterium species by using Kyoto Encyclopedia of Genes and Genomes (KEGG) web service. Table S5: Predicated amount of carbohydrate-active enzymes in the complete genomes of Microbacterium species. Table S6: Predicated number of genes of the GH family involved in cellulose and starch degradation in 32 complete genome of Microbacterium species. Table S7: Predicated number of Glycoside hydrolase family (GHs). Table S8: Predicated number of Glycosyl transferase family (GTs). Table S9: Predicated number of Polysaccharide lyases family (PLs). Table S10: Predicated number of Carbohydrate esterase family (CEs). Table S11: Predicated number of Auxiliary activities family (AAs). Table S12: Predicated number of Carbohydrate-binding module family (CBMs). Table S13: Predicated GH families involved in hemicellulose degradation in 32 complete genomes of Microbacterium species. (Supplementary Materials). (XLSX 56 KB)
Rights and permissions
About this article
Cite this article
Gupta, S., Han, SR., Kim, B. et al. Comparative analysis of genome-based CAZyme cassette in Antarctic Microbacterium sp. PAMC28756 with 31 other Microbacterium species. Genes Genom 44, 733–746 (2022). https://doi.org/10.1007/s13258-022-01254-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13258-022-01254-9