Comparative analysis of predicted gene expression among deep-sea genomes

Abundance and Temperature Dependency of Protein-Protein Interaction Revealed by Interface Structure Analysis and Stability Evolution

Protein complexes are major forms of protein-protein interactions and implement essential biological functions. The subunit interface in a protein complex is related to its thermostability. Though the roles of interface properties in thermal adaptation have been investigated for protein complexes, the relationship between the interface size and the expression level of the subunits remains unknown. In the present work, we studied this relationship and found a positive correlation in thermophiles rather than mesophiles. Moreover, we found that the protein interaction strength in complexes is not only temperature-dependent but also abundance-dependent. The underlying mechanism for the observed correlation was explored by simulating the evolution of protein interface stability, which highlights the avoidance of misinteraction. Our findings make more complete the picture of the mechanisms for protein complex thermal adaptation and provide new insights into the principles of protein-protein interactions.

Sequence determinants of prokaryotic gene expression level under heat stress

Prokaryotic gene expression is environment-dependent and temperature plays an important role in shaping the gene expression profile. Revealing the regulation mechanisms of gene expression pertaining to temperature has attracted tremendous efforts in recent years particularly owning to the yielding of transcriptome and proteome data by high-throughput techniques. However, most of the previous works concentrated on the characterization of the gene expression profile of individual organism and little effort has been made to disclose the commonality among organisms, especially for the gene sequence features. In this report, we collected the transcriptome and proteome data measured under heat stress condition from recently published literature and studied the sequence determinants for the expression level of heat-responsive genes on multiple layers. Our results showed that there indeed exist commonness and consistent patterns of the sequence features among organisms for the differentially expressed genes under heat stress condition. Some features are attributed to the requirement of thermostability while some are dominated by gene function. The revealed sequence determinants of bacterial gene expression level under heat stress complement the knowledge about the regulation factors of prokaryotic gene expression responding to the change of environmental conditions. Furthermore, comparisons to thermophilic adaption have been performed to reveal the similarity and dissimilarity of the sequence determinants for the response to heat stress and for the adaption to high habitat temperature, which elucidates the complex landscape of gene expression related to the same physical factor of temperature.

Comparative analysis of deep-sea bacterioplankton OMICS revealed the occurrence of habitat-specific genomic attributes

Bathyal aphotic ocean represents the largest biotope on our planet, which sustains highly diverse but low-density microbial communities, with yet untapped genomic attributes, potentially useful for discovery of new biomolecules, industrial enzymes and pathways. In the last two decades, culture-independent approaches of high-throughput sequencing have provided new insights into structure and function of marine bacterioplankton, leading to unprecedented opportunities to accurately characterize microbial communities and their interactions with the environments. In the present review we focused on the analysis of relatively few deep-sea OMICS studies, completed thus far, to find the specific genomic patterns determining the lifeway and adaptation mechanisms of prokaryotes thriving in the dark deep ocean below the depth of 1000m. Phylogenomic and omic studies provided clear evidence that the bathyal microbial communities are distinct from the epipelagic counterparts and, along with generally larger genomes, possess their own habitat-specific genomic attributes. The high abundance in the deep ocean OMICS of the systems for environmental sensing, signal transduction and metabolic versatility as compared to the epipelagic counterparts is thought to enable the deep-sea bacterioplankton to rapidly adapt to changing environmental conditions associated with resource scarcity and high diversity of energy and carbon substrates in the bathyal biotopes. Together with a versatile heterotrophy, mixotrophy and anaplerosis are thought to enable the deep-sea bacterioplankton to cope with these environmental conditions.

Metagenomic analysis of hadopelagic microbial assemblages thriving at the deepest part of Mediterranean Sea, Matapan-Vavilov Deep

The marine pelagic zone situated > 200 m below the sea level (bls) is the largest marine subsystem, comprising more than two-thirds of the oceanic volume. At the same time, it is one of the least explored ecosystems on Earth. Few large-scale environmental genomics studies have been undertaken to examine the phylogenetic diversity and functional gene repertoire of planktonic microbes present in mesopelagic and bathypelagic environments. Here, we present the description of the deep-sea microbial community thriving at > 4900 m depth in Matapan-Vavilov Deep (MVD). This canyon is the deepest site of Mediterranean Sea, with a deepest point located at approximately 5270 m, 56 km SW of city Pylos (Greece) in the Ionian Sea (36°34.00N, 21°07.44E). Comparative analysis of whole-metagenomic data revealed that unlike other deep-sea metagenomes, the prokaryotic diversity in MVD was extremely poor. The decline in the dark primary production rates, measured at 4908 m depth, was coincident with overwhelming dominance of copiotrophic Alteromonas macleodii'deep-ecotype' AltDE at the expense of other prokaryotes including those potentially involved in both autotrophic and anaplerotic CO(2) fixation. We also demonstrate the occurrence in deep-sea metagenomes of several clustered regularly interspaced short palindromic repeats systems.

Comparative genomics reveals adaptation by Alteromonas sp. SN2 to marine tidal-flat conditions: cold tolerance and aromatic hydrocarbon metabolism

Alteromonas species are globally distributed copiotrophic bacteria in marine habitats. Among these, sea-tidal flats are distinctive: undergoing seasonal temperature and oxygen-tension changes, plus periodic exposure to petroleum hydrocarbons. Strain SN2 of the genus Alteromonas was isolated from hydrocarbon-contaminated sea-tidal flat sediment and has been shown to metabolize aromatic hydrocarbons there. Strain SN2's genomic features were analyzed bioinformatically and compared to those of Alteromonas macleodii ecotypes: AltDE and ATCC 27126. Strain SN2's genome differs from that of the other two strains in: size, average nucleotide identity value, tRNA genes, noncoding RNAs, dioxygenase gene content, signal transduction genes, and the degree to which genes collected during the Global Ocean Sampling project are represented. Patterns in genetic characteristics (e.g., GC content, GC skew, Karlin signature, CRISPR gene homology) indicate that strain SN2's genome architecture has been altered via horizontal gene transfer (HGT). Experiments proved that strain SN2 was far more cold tolerant, especially at 5°C, than the other two strains. Consistent with the HGT hypothesis, a total of 15 genomic islands in strain SN2 likely confer ecological fitness traits (especially membrane transport, aromatic hydrocarbon metabolism, and fatty acid biosynthesis) specific to the adaptation of strain SN2 to its seasonally cold sea-tidal flat habitat.

A complete genome assembly of Glaciecola mesophila sp. nov. sequenced by using BIGIS-4 sequencer system

Using a pyrosequencing-based custom-made sequencer BIGIS-4, we sequenced a Gram-negative bacterium Glaciecola mesophila sp. nov. (Gmn) isolated from marine invertebrate specimens. We generated 152043 sequencing reads with a mean high-quality length of 406 bp, and assembled them using the BIGIS-4 post-processing module. No systematic low-quality data was detected beyond expected homopolymer-derived errors. The assembled Gmn genome is 5144318 bp in length and harbors 4303 annotated genes. A large number of metabolic genes correspond to various nutrients from surface marine invertebrates. Its abundant cold-tolerant and cellular signaling and related genes reveal a fundamental adaptation to low-temperature marine environment.

Theoretical methods for identifying important functional genes in bacterial genomes

Some functional genes, such as essential genes, highly expressed genes and horizontally transferred genes, play important roles in the survival and pathogenicity of bacteria. This review attempts to summarize current computational methods in identifying the above functional genes from bacterial genomes, which is of significant importance in exploring the bacterial genomes.

Comparative metagenomic analysis of a microbial community residing at a depth of 4,000 meters at station ALOHA in the North Pacific subtropical gyre

The deep sea (water depth of >2,000 m) represents the largest biome on Earth. Yet relatively little is known about its microbial community's structure, function, and adaptation to the cold and deep biosphere. To provide further genomic insights into deep-sea planktonic microbes, we sequenced a total of approximately 200 Mbp of a random whole-genome shotgun (WGS) library from a microbial community residing at a depth of 4,000 m at Station ALOHA in the Pacific Ocean and compared it to other available WGS sequence data from surface and deep waters. Our analyses indicated that the deep-sea lifestyle is likely facilitated by a collection of very subtle adaptations, as opposed to dramatic alterations of gene content or structure. These adaptations appear to include higher metabolic versatility and genomic plasticity to cope with the sparse and sporadic energy resources available, a preference for hydrophobic and smaller-volume amino acids in protein sequences, unique proteins not found in surface-dwelling species, and adaptations at the gene expression level. The deep-sea community is also characterized by a larger average genome size and a higher content of "selfish" genetic elements, such as transposases and prophages, whose propagation is apparently favored by more relaxed purifying (negative) selection in deeper waters.

How does gene expression level contribute to thermophilic adaptation of prokaryotes? An exploration based on predictors

By analyzing the predicted gene expression levels of 33 prokaryotes with living temperature span from <10 degrees C to >100 degrees C, a universal positive correlation was found between the percentage of predicted highly expressed genes and the organisms' optimal growth temperature. A physical interpretation of the correlation revealed that highly expressed genes are statistically more thermostable than lowly expressed genes. These findings show the possibility of the significant contribution of gene expression level to the prokaryotic thermal adaptation and provide evidence for the translational selection pressure on the thermostability of natural proteins during evolution.