Description of two cultivated and two uncultivated new Salinibacter species,one named following the rules of the bacteriological code: Salinibacter grassmerensis sp. nov.; and three named following the rules of the SeqCode: Salinibacter pepae sp. nov., Salinibacter abyssi sp. nov., and Salinibacter pampae sp. nov.

Current -omics methods allow the collection of a large amount of information that helps in describing the microbial diversity in nature. Here, and as a result of a culturomic approach that rendered the collection of thousands of isolates from 5 different hypersaline sites (in Spain, USA and New Zealand), we obtained 21 strains that represent two new Salinibacter species. For these species we propose the names Salinibacter pepae sp. nov. and Salinibacter grassmerensis sp. nov. (showing average nucleotide identity (ANI) values < 95.09% and 87.08% with Sal. ruber M31^T, respectively). Metabolomics revealed species-specific discriminative profiles. Sal. ruber strains were distinguished by a higher percentage of polyunsaturated fatty acids and specific N-functionalized fatty acids; and Sal. altiplanensis was distinguished by an increased number of glycosylated molecules. Based on sequence characteristics and inferred phenotype of metagenome-assembled genomes (MAGs), we describe two new members of the genus Salinibacter. These species dominated in different sites and always coexisted with Sal. ruber and Sal. pepae. Based on the MAGs from three Argentinian lakes in the Pampa region of Argentina and the MAG of the Romanian lake Fără Fund, we describe the species Salinibacter pampae sp. nov. and Salinibacter abyssi sp. nov. respectively (showing ANI values 90.94% and 91.48% with Sal. ruber M31^T, respectively). Sal. grassmerensis sp. nov. name was formed according to the rules of the International Code for Nomenclature of Prokaryotes (ICNP), and Sal. pepae, Sal. pampae sp. nov. and Sal. abyssi sp. nov. are proposed following the rules of the newly published Code of Nomenclature of Prokaryotes Described from Sequence Data (SeqCode). This work constitutes an example on how classification under ICNP and SeqCode can coexist, and how the official naming a cultivated organism for which the deposit in public repositories is difficult finds an intermediate solution.     

ICNP与SeqCode：组学时代原核生物命名面临的机遇与挑战

自1936年细菌学家Buchanan负责起草专门的细菌命名法规以来,国际原核生物命名法规(International Code of Nomenclature of Prokaryotes, ICNP)在不断发展和完善过程中,积极促进了原核生物分类学及相关学科的发展。随着组学技术在原核生物多样性研究中的应用,越来越多未培养的细菌和古菌新类群被发现,却因为ICNP要求活的生物材料作为命名模式(nomenclatural type),而无法获得生效名称(validly published name)。2022年,原核生物命名法规从序列数据描述原核生物命名法(Code of Nomenclature of Prokaryotes Described from Sequence Data, SeqCode)正式发布,以补充ICNP在未培养微生物类群命名方面的不足。SeqCode不希望和ICNP产生较大分歧,并尽可能保留在将来和ICNP合并的可能性。然而,作为两种独立运行的命名法规,尚不明确SeqCode和ICNP并存会对学术界产生怎样的影响。本文系统介绍了ICNP和SeqCode各自的发展历程和主要内容,分析了二者的优势和局限性,并呼吁微生物学相关领域的学者共同关注原核生物命名法规并应用于实践,以期构建更加合理、有效的原核生物名称系统。     

Glutamine synthetase II inRhizobium: Reexamination of the proposed horizontal transfer of DNA from eukaryotes to prokaryotes

Summary We have determined the DNA sequence of aRhizobium meliloti gene that encodes glutamine synthetase II (GSII). The deduced amino acid sequence was compared to that ofBradyrhizobium japonicum GSII and those of various plant and mammalian glutamine synthetases (GS) in order to evaluate a proposal that the gene for this enzyme was recently transferred from plants to their symbiotic bacteria. There is 83.6% identity between theR. meliloti andB. japonicum proteins. The bacterial GSII proteins average 42.5% identity with the plant GS proteins and 41.8% identity with their mammalian counterparts. The plant proteins average 53.7% identity with the mammalian proteins. Thus, the GS proteins are highly conserved and the divergence of these proteins is proportional to the phylogenetic divergence of the organisms from which the sequences were determined. No transfer of genes across large taxonomic gaps is needed to explain the presence of GSII in these bacteria.     

Representational difference analysis: critical appraisal and method development for the identification of unique DNA sequences from prokaryotes

Representational difference analysis (RDA) has great potential for preferential amplification of unique but uncharacterised DNA sequences present in one source such as a whole genome, but absent from a related genome or other complex population of sequences. While a few examples of its successful exploitation have been published, the method has not been well dissected and robust, detailed published protocols are lacking. Here we examine the method in detail, suggest improvements and provide a protocol that has yielded key unique sequences from a pathogenic bacterial genome.     

A self-referential model for the formation of the genetic code

A model for the formation of the genetic code is presented where protein synthesis is directed initially by tRNA dimers. Proteins that are resistant to degradation and efficient RNA-binders protect the RNAs. Replication becomes elongational producing poly-tRNAs from which the mRNAs and ribosomes are derived. Attributions are successively fixed to tRNAs paired through the perfect palindromic anticodons, with the same bases at the extremities (5′ANA: UNU 3′; GNG: CNC; principal dinucleotides, pDiN). The 5′ degeneracy is then developed. The first pairs to be encoded correspond to the hydropathy correlation outliers (Gly-CC: Pro-GG and Ser-GA: Ser-CU) and to the sector of homogeneous pDiN, composed by two pyrimidines or two purines. These amino acids are preferred in the N-ends of proteins, stabilizers of proteins against catabolism and strong RNA-binders. The next pairs complete the sector of homogeneous pDiN (Asp, Glu-UC: Leu-AG and Asn, Lys-UU: Phe-AA). This set of nine amino acids forms the protein cores with the predominant aperiodic conformation. Next enter the pairs with mixed pDiN (one purine and one pyrimidine), the RY attributions composing the protein N-ends and the YR attributions the C-ends. The last pair contains the main punctuation signs (Ile, Met, iMet-AU: Tyr, Stop-UA). The model indicates that genetic information emerged during the process of formation of the coding/decoding system and that genes were defined by the proteins. Stable proteins constructed the nucleoprotein system by binding to the RNAs that produced them. In this circular rationale, genes are memories in a metabolic system for production of proteins that stabilize it. The simplicity and the highly deterministic character of the process suggest that the Last Universal Common Ancestor populations could be composed, in early stages, of lineages bearing similar genetic codes.     

X-ray structure of a two-domain type laccase: A missing link in the evolution of multi-copper proteins

A multi-copper protein with two cupredoxin-like domains was identified from our in-house metagenomic database. The recombinant protein, mgLAC, contained four copper ions/subunits, oxidized various phenolic and non-phenolic substrates, and had spectroscopic properties similar to common laccases. X-ray structure analysis revealed a homotrimeric architecture for this enzyme, which resembles nitrite reductase (NIR). However, a difference in copper coordination was found at the domain interface. mgLAC contains a T2/T3 tri-nuclear copper cluster at this site, whereas a mononuclear T2 copper occupies this position in NIR. The trimer is thus an essential part of the architecture of two-domain multi-copper proteins, and mgLAC may be an evolutionary precursor of NIR.     

The conservation of DNA sequences over very long periods of evolutionary time. Evidence against intergeneric chromosomal transfer as an explanation for the presence of Escherichia coli tuf gene sequences in taxonomically-unrelated prokaryotes

In the present study we tried to determine whether the presence of DNA sequences homologous to the Escherichia coli tuf gene (encodes peptide chain elongation factor Tu) in many taxonomically-unrelated prokaryotes is due to selective pressure for these sequences or due to the transfer of chromosomal material subsequent to the divergence of the genera from their progenitors. We found that the degree of sequence homology to the DNA immediately adjacent to the E. coli tuf A gene is either nonexistent or much less than that found for the tuf gene. Furthermore, the tuf-homologous sequences present in one prokaryote were found to be in large part the same as or a subset of those present in others. That is, various prokaryotes share a common subset of tuf-homologous sequences. These findings suggest that strong selective pressure and not recent intergeneric chromosomal transfer is responsible for the ubiquitous presence of certain tuf-homologous sequences. Because the genetic code is degenerate, DNA sequence need not be conserved to conserve protein sequence. Therefore, if the only function of these sequences is to encode protein, their persistence must mean that in some instances codon sequence is selected for.     

Development of the genetic code: Insights from a fungal codon reassignment

The high conservation of the genetic code and its fundamental role in genome decoding suggest that its evolution is highly restricted or even frozen. However, various prokaryotic and eukaryotic genetic code alterations, several alternative tRNA-dependent amino acid biosynthesis pathways, regulation of tRNA decoding by diverse nucleoside modifications and recent in vivo incorporation of non-natural amino acids into prokaryotic and eukaryotic proteins, show that the code evolves and is surprisingly flexible. The cellular mechanisms and the proteome buffering capacity that support such evolutionary processes remain unclear. Here we explore the hypothesis that codon misreading and reassignment played fundamental roles in the development of the genetic code and we show how a fungal codon reassignment is enlightening its evolution.     

锌转运蛋白8与1型和2型糖尿病的研究进展

ZnT8(zinc transporter,member8)是锌离子转运蛋白,主要定位于胰岛β细胞,能将胞浆锌离子转运至胰岛素储存/分泌性囊泡内,其转运功能降低会影响胰岛素合成、储存和分泌,能增加2型糖尿病(T2DM)的发病风险。ZnT8蛋白也可作为抗原引起β细胞自身免疫损伤,诱发1型糖尿病(T1DM)。ZnT8基因多态性是引起其锌离子转运功能和免疫原性变化的重要因素,与糖尿病的发生、发展密切相关。该文综述了ZnT8与T1DM和T2DM的研究进展,提示ZnT8可作为糖尿病防治的新药物靶点。     

SWORDS: A statistical tool for analysing large DNA sequences

In this article, we present some simple yet effective statistical techniques for analysing and comparing large DNA sequences. These techniques are based on frequency distributions of DNA words in a large sequence, and have been packaged into a software called SWORDS. Using sequences available in public domain databases housed in the Internet, we demonstrate how SWORDS can be conveniently used by molecular biologists and geneticists to unmask biologically important features hidden in large sequences and assess their statistical significance.     

A weighted measure for the similarity analysis of DNA sequences

Here we propose a weighted measure for the similarity analysis of DNA sequences. It is based on LZ complexity and (0,1) characteristic sequences of DNA sequences. This weighted measure enables biologists to extract similarity information from biological sequences according to their requirements. For example, by this weighted measure, one can obtain either the full similarity information or a similarity analysis from a given biological aspect. Moreover, the length of DNA sequence is not problematic. The application of the weighted measure to the similarity analysis of β-globin genes from nine species shows its flexibility.     

Bacteriophage MS2 RNA: A correlation between the stability of the codon: Anticodon interaction and the choice of code words

Summary The non-random distribution of degenerate code words in Bacteriophage MS2 RNA can be explained partially by considerations of the stability of the codon-anticodon complex in prokaryotic systems. Supporting this hypothesis we note that wobble codons are positively selected in codons having G and/or C in the first two positions. In contrast, wobble codons are statitically less likely in codons composed of A and U in the first two positions. Analyses of nucleotides adjacent to 5 and 3 ends of codons indicate a nonrandom distribution as well. It is thus likely that some elements of RNA evolution are independent of the structural needs of the RNA itself and of the translated protein product.This work was supported by grants from the Belgian Government Actions concertées - Gekon-certéerde Acties, N.F.W.O. and F.K.F.O. as well as from le Ministère de l'éducation du Québec. A preliminary report of this work was given at the EMBO ribosome workshop, Brussels 1976