Outstanding impact of soil tillage on the abundance of soil hydrolases revealed by a metagenomic approach

ABSTRACT The soil represents the main source of novel biocatalysts and biomolecules of industrial relevance. We searched for hydrolases in silico in four shotgun metagenomes (4,079,223 sequences) obtained in a 13-year field trial carried out in southern Brazil, under the no-tillage (NT), or conventional tillage (CT) managements, with crop succession (CS, soybean/wheat), or crop rotation (CR, soybean/maize/wheat/lupine/oat). We identified 42,631 hydrolases belonging to five classes by comparing with the KEGG database, and 44,928 sequences by comparing with the NCBI-NR database. The abundance followed the order: lipases > laccases > cellulases > proteases > amylases > pectinases. Statistically significant differences were attributed to the tillage system, with the NT showing about five times more hydrolases than the CT system. The outstanding differences can be attributed to the management of crop residues, left on the soil surface in the NT, and mechanically broken and incorporated into the soil in the CT. Differences between the CS and the CR were slighter, 10% higher for the CS, but not statistically different. Most of the sequences belonged to fungi (Verticillium, and Colletotrichum for lipases and laccases, and Aspergillus for proteases), and to the archaea Sulfolobus acidocaldarius for amylases. Our results indicate that agricultural soils under conservative managements may represent a hotspot for bioprospection of hydrolases.

Expression and purification of a novel thermophilic bacterial single-stranded DNA-binding protein and enhancement the synthesis of DNA and cDNA / 中华实验和临床病毒学杂志

<p><b>OBJECTIVE</b>Express a novel species of single-stranded DNA-binding protein (SSB) derived from Thermococcus kodakarensis KOD1, abbreviated kod-ssb. And evaluate the effect of kod-ssb on PCR-based DNA amplification and reverse transcription.</p><p><b>METHODS</b>We express kod-ssb with the Transrtta (DE3), and kod-ssb was purified by affinity chromatography on a Ni2+ Sepharose column, detected by SDS-PAGE. To evaluate the effect of kod-ssb on PCR-based DNA amplification, the human beta globin gene was used as template to amplify a 5-kb, 9-kb and 13-kb. And to detect the effect of kod-ssb on reverse transcription, we used RNA from flu cell culture supernatant extraction as templates to implement qRT-PCR reaction.</p><p><b>RESULTS</b>The plasmid pET11a-kod was transformed into Transetta (DE3) and the recombinant strain Transetta (pET11 a-kod) was obtained. The kod-ssb was highly expressed when the recombinant strain Transetta(pET11a-kod) was induced by IPTG. The specific protein was detected by SDS-PAGE. To confirm that kod-ssb can enhance target DNA synthesis and reduce PCR by-products, 5-, 9-, and 13-kb human beta globin gene fragments were used as templates for PCR. When PCR reactions did not include SSB proteins, the specific PCR product was contaminated with non-specific products. When kod -ssb was added, kod-ssb significantly enhanced amplification of the 5-, 9-and 13-kb target product and minimised the non-specific PCR products. To confirm that kod-ssb can enhance target cDNA synthesis, RNA from flu cell culture supernatant extraction was used as templates for qRT-PCR reaction. The results was that when kod-ssb was added, kod-ssb significantly enhanced the synthesis of cDNA, average Ct value is 19.42, and the average Ct value without kod-ssb is 22.15.</p><p><b>CONCLUSIONS</b>kod-ssb may in future be used to enhance DNA and cDNA amplification.</p>

Switch of substrate specificity of hyperthermophilic acylaminoacyl peptidase by combination of protein and solvent engineering

The inherent evolvability of promiscuous enzymes endows them with great potential to be artificially evolved for novel functions. Previously, we succeeded in transforming a promiscuous acylaminoacyl peptidase (apAAP) from the hyperthermophilic archaeon Aeropyrum pernix K1 into a specific carboxylesterase by making a single mutation. In order to fulfill the urgent requirement of thermostable lipolytic enzymes, in this paper we describe how the substrate preference of apAAP can be further changed from p-nitrophenyl caprylate (pNP-C8) to p-nitrophenyl laurate (pNP-C12) by protein and solvent engineering. After one round of directed evolution and subsequent saturation mutagenesis at selected residues in the active site, three variants with enhanced activity towards pNP-C12 were identified. Additionally, a combined mutant W474V/F488G/R526V/T560W was generated, which had the highest catalytic efficiency (k (cat)/K (m)) for pNP-C12, about 71-fold higher than the wild type. Its activity was further increased by solvent engineering, resulting in an activity enhancement of 280-fold compared with the wild type in the presence of 30% DMSO. The structural basis for the improved activity was studied by substrate docking and molecular dynamics simulation. It was revealed that W474V and F488G mutations caused a significant change in the geometry of the active center, which may facilitate binding and subsequent hydrolysis of bulky substrates. In conclusion, the combination of protein and solvent engineering may be an effective approach to improve the activities of promiscuous enzymes and could be used to create naturally rare hyperthermophilic enzymes.

Heat shock proteins of the hyperthermophilic archaea / 生物工程学报

As thermostable enzymes and organisms are much more needed, researches on heat shock proteins(HSPs) of hyperthermophilic archaea have drawn more concerns. HSPs from hyperthermophilic archaea are concise only with HSP60, sHSP, prefoldin and AAA+proteins, but without HSP100s, HSP90s, HSP70 (DnaK), HSP40 (DnaJ) and GrpE which are common in mesophilic or thermophilic archaea. Accordingly, studies on the structure, function and operation mechanism of these four groups are much more important and meaningful. This review focuses on the recent progress in the researchs on the structure, function, operation mechanism and cooperation of the HSPs from hyperthermophilic archaea. The problems and obfuscations in these HSPs are analyzed, and farther research direction and key points are put out.

ARC: automated resource classifier for agglomerative functional classification of prokaryotic proteins using annotation texts.

Functional classification of proteins is central to comparative genomics. The need for algorithms tuned to enable integrative interpretation of analytical data is felt globally. The availability of a general,automated software with built-in flexibility will significantly aid this activity. We have prepared ARC (Automated Resource Classifier), which is an open source software meeting the user requirements of flexibility. The default classification scheme based on keyword match is agglomerative and directs entries into any of the 7 basic non-overlapping functional classes: Cell wall, Cell membrane and Transporters (C), Cell division (D), Information (I), Translocation (L), Metabolism (M), Stress(R), Signal and communication (S) and 2 ancillary classes: Others (O) and Hypothetical (H).The keyword library of ARC was built serially by first drawing keywords from Bacillus subtilis and Escherichia coli K12. In subsequent steps,this library was further enriched by collecting terms from archaeal representative Archaeoglobus fulgidus, Gene Ontology, and Gene Symbols. ARC is 94.04% successful on 6,75,663 annotated proteins from 348 prokaryotes. Three examples are provided to illuminate the current perspectives on mycobacterial physiology and costs of proteins in 333 prokaryotes. ARC is available at http://arc.igib.res.in.

The product specificity evolution of cyclodextrin glucanotransferase: problems and challenges / 生物工程学报

Cyclodextrin glucanotransferase, the essential enzyme for the production of cyclodextrins, has become the focus of scientific research nowadays. Although many related enzyme properties are well known, the crucial factors in product specificity determination remain to be answered. Here, the recent research progresses of cyclodextrin glucanotransferase, especially those about the evolution of product specificity, were reviewed, and the scientific problems were discussed.

Protein thermostability in Archaea and Eubacteria

In order to survive at high temperatures, thermophilic prokaryotes (Archaea and Eubacteria) adopt different strategies. Among several important contributing factors for stability of proteins are CG-rich codons, the ratio of charged amino acids compared to uncharged amino acids, ionic interactions, amino acid preferences and their distribution, post-translational modifications, and solute accumulation. However, these factors may differ from taxon to taxon, both within and between species depending upon the composition of proteins found in these organisms. This is exemplified in the case of differences in strategies adopted by soluble proteins and membrane proteins. Therefore, it appears that no single factor or combination of factors together can be universally attributed to the provision of thermal stability in proteins.

Comparative genomics using data mining tools.

We have analysed the genomes of representatives of three kingdoms of life, namely, archaea, eubacteria and eukaryota using data mining tools based on compositional analyses of the protein sequences. The representatives chosen in this analysis were Methanococcus jannaschii, Haemophilus influenzae and Saccharomyces cerevisiae. We have identified the common and different features between the three genomes in the protein evolution patterns. M. jannaschii has been seen to have a greater number of proteins with more charged amino acids whereas S. cerevisiae has been observed to have a greater number of hydrophilic proteins. Despite the differences in intrinsic compositional characteristics between the proteins from the different genomes we have also identified certain common characteristics. We have carried out exploratory Principal Component Analysis of the multivariate data on the proteins of each organism in an effort to classify the proteins into clusters. Interestingly, we found that most of the proteins in each organism cluster closely together, but there are a few 'outliers'. We focus on the outliers for the functional investigations, which may aid in revealing any unique features of the biology of the respective organisms