The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Microbial hauberks: composition and function of surface layer proteins in gammaproteobacterial methanotrophs
Open accessPublished version of a preprint
Abstract
Many species of proteobacterial methane-consuming bacteria (methanotrophs) form a hauberk-like envelope represented by a surface (S-) layer protein (SLP) matrix. While several proteins were predicted to be associated with the cell surface, the composition and function of the hauberk matrix remained elusive. Here, we report the identification of the genes encoding the hauberk-forming proteins in two gamma-proteobacterial (Type I) methanotrophs, Methylotuvimicrobium buryatense 5GB1 (EQU24_15540) and Methylotuvimicrobium alcaliphilum 20Z R (MEALZ_0971 and MEALZ_0972). The proteins share 40% amino acid (AA) sequence identity with each other and are distantly related to the RsaA proteins from Caulobacter crescentus (20% AA sequence identity). Deletion of these genes resulted in loss of the characteristic hauberk pattern on the cell surface. A set of transcriptional fusions between the MEALZ_0971 and a superfolder green fluorescent protein (sfGFP) further confirmed its surface localization. The functional roles of the hauberk and cell-surface-associated proteins, including MEALZ_0971, MEALZ_0972, EQU24_15540, and a copper-induced CorA protein, were further investigated via gene expression studies and phenotypic tests. The hauberk core protein of M. alcaliphilum 20Z R showed constitutive expression across 18 growth conditions with reduced growth at high salinity, high methanol, and metal-limited conditions, suggesting a role in cell-envelope stability and metal scavenging. Overall, understanding the genetics, composition, and cellular functions of S-layers contributes to our knowledge of methanotroph adaptation to environmental perturbations and opens a promising prospect for (nano)biotechnology applications. IMPORTANCE: Understanding the genetics, composition, and cellular functions of the cell envelope proteins, such as S-layers, contributes to our knowledge of microbial cell biology and stress responses and molecular adaptations to environmental perturbations. In addition, this study opens a promising prospect for (nano)biotechnology applications of methane-derived self-assembling protein materials.
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Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
Katoh, K., & Standley, D. M. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst010 · Cited by 46,209
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
fastp: an ultra-fast all-in-one FASTQ preprocessor
Chen, S., Zhou, Y., Chen, Y., & Gu, J. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty560 · Cited by 29,721
Kearse, M., Moir, R., Wilson, A., Stones-Havas, S., Cheung, M., Sturrock, S., Buxton, S., Cooper, A., Markowitz, S., Duran, C., et al. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts199 · Cited by 20,027
IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era
Minh, B. Q., Schmidt, H. A., Chernomor, O., Schrempf, D., Woodhams, M. D., von Haeseler, A., & Lanfear, R. (2020) · Molecular Biology and Evolution · doi:10.1093/molbev/msaa015 · Cited by 16,873
trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses
Capella-Gutiérrez, S., Silla-Martínez, J. M., & Gabaldón, T. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp348 · Cited by 12,751
Salmon provides fast and bias-aware quantification of transcript expression
Patro, R., Duggal, G., Love, M. I., Irizarry, R. A., & Kingsford, C. (2017) · Nature Methods · doi:10.1038/nmeth.4197 · Cited by 12,700
ColabFold - Making protein folding accessible to all
Mirdita, M., Schütze, K., Moriwaki, Y., Heo, L., Ovchinnikov, S., & Steinegger, M. (2021) · doi:10.1101/2021.08.15.456425 · Cited by 9,391
MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization
Katoh, K., Rozewicki, J., & Yamada, K. D. (2019) · Briefings in Bioinformatics · doi:10.1093/bib/bbx108 · Cited by 8,909
Research works printed but not linked: 6
- Tyurin V, Gorskaya L, Kaftanova A, Logi nova TM, Mikhailov AM. 1985. Some features of the ultrastructure of Methylococcus capsulatus grown under different conditions. Prikl Biokhim Mikrobiol 21:770–775.
- 10.1111/j.1574-6968.1997.tb10284.x · DOI
- 10.1038/s41592-022-01488-1 · DOI · Paper page
- Vital AV. 2023. Surface (S)-layers from methanotrophic bacteria: composition and function. San Diego State University.
- Ismail SS. 2019. Fundamentals of protein biosynthesis in Methylomicrobium alcaliphilum 20Z R, a model methanotroph. San Diego State University.
- Collins DAI. 2021. Dissecting the cellular biology of the model methanotroph Methylotuvimicrobium alcaliphilum 20Z R through multi-omics, mutagenesis, and microscopy. University of California, San Diego.
Metadata
- Authors
- Hamilton, R., Gebbie, W., Bowman, C., Mantanona, A., & Kalyuzhnaya, M. G.
- Affiliations
- San Diego State University (US)
- Corresponding author
- Kalyuzhnaya, Marina G.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2025-01-31
- Volume
- 91
- Issue
- 1
- Pages
- e0136424-e0136424
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- PMC
- PMC11784148
- OpenAlex
- W4405944986
- Cited by
- 1
- References
- 68
- Citations by year
- 2026: 1
- FWCI
- 0.14
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- creativecommons.org/licenses/by/4.0/ (vor)
- journals.asm.org/non-commercial-tdm-license (tdm)
- Locations
- Applied and Environmental Microbiology (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- DOD | ARPA | Defense Sciences Office, DARPA (DE-AR000350)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial metabolism and enzyme function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Physical Sciences › Environmental Science › Environmental Chemistry › Methane Hydrates and Related Phenomena
- Keywords
- surface layer protein, methanotrophic bacteria, Gammaproteobacteria, cell envelope, gene deletion, gene expression, metal scavenging, salt tolerance, methanol tolerance
- MeSH terms
- Bacterial Proteins, Membrane Glycoproteins, Methane, Methylococcaceae, Gammaproteobacteria
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- Hamilton, R., Gebbie, W., Bowman, C., Mantanona, A., & Kalyuzhnaya, M. G. (2025). Microbial hauberks: composition and function of surface layer proteins in gammaproteobacterial methanotrophs. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.01364-24
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