Formation of prokaryote names from personal names: a review of current practice and a proposal to emend Appendix 9 of the International Code of Nomenclature of Prokaryotes.

The practice of naming elements from the natural world after notable individuals stretches back to ancient times. This practice of creating eponyms-terms derived from personal names-has been carried forward into prokaryotic nomenclature, where the International Code of Nomenclature of Prokaryotes (ICNP) sets guidelines for creating scientific names from personal names. However, these guidelines can be seen as culturally biased, disjointed and, on occasion, misguided. Here, with the goal of modernizing these recommendations to render them more user-friendly, coherent and inclusive, I review current practice in the light of precedents and key linguistic and cultural principles, while questioning the applicability of the first-name/last-name paradigm for many cultural traditions. Procedural challenges include romanization of the personal name (including handling of diacritics), creation of a short and agreeable latinized stem, assignment of the stem to a declension and addition of suffixes or compound word components to create genus names or species epithets, customizing the approach for names and stems that end in a vowel. I review the pros and cons of stem augmentation, which involves addition of an extra 'i' to the original stem. Next, I formulate a coherent workflow, which I incorporate into a Python script to enable computer-based automation of name creation. Rather than following the ICNP in limiting discussion to a few dozen mainly European names, I examine how these principles work out when applied to the tens of thousands of last names under which scientists publish in the PubMed database, focusing on edge cases where conventional approaches fail, particularly very short and very long names. Drawing on these explorations and analyses, I propose emendations to the advice currently presented in the ICNP to usher in a modern, consistent, pragmatic and globally inclusive approach to the creation of prokaryotic eponyms.

Valid publication of names for bacterial species from the chicken gut.

This article is a follow-up to Gilroy R, Ravi A, Getino M, Pursley I, Horton DL, et al. PeerJ 2021;9:e10941, detailing accession numbers from culture collections to ensure that names for 33 new species conform to the Rules of the International Code of Nomenclature of Prokaryotes required for valid publication of names for cultured species. The following species names are now proposed to be recognized as validly published: Acinetobacter pecorum sp. nov., Arthrobacter gallicola sp. nov., Arthrobacter pullicola sp. nov., Bacillus norwichensis sp. nov., Brevibacterium gallinarum sp. nov., Brevundimonas guildfordensis sp. nov., Cellulomonas avistercoris sp. nov., Clostridium gallinarum sp. nov., Comamonas avium sp. nov., Corynebacterium gallinarum sp. nov., Cytobacillus stercorigallinarum sp. nov., Escherichia whittamii sp. nov., Kaistella pullorum sp. nov., Luteimonas colneyensis sp. nov., Microbacterium commune sp. nov., Microbacterium gallinarum sp. nov., Microbacterium pullorum sp. nov., Oceanitalea stevensii sp. nov., Ochrobactrum gallinarum sp. nov., Oerskovia douganii sp. nov., Oerskovia gallyi sp. nov., Oerskovia merdavium sp. nov., Oerskovia rustica sp. nov., Paenibacillus gallinarum sp. nov., Phocaeicola gallinarum sp. nov., Planococcus wigleyi sp. nov., Psychrobacter communis sp. nov., Serpens gallinarum sp. nov., Solibacillus faecavium sp. nov., Sporosarcina gallistercoris sp. nov., Sporosarcina quadrami sp. nov., Stenotrophomonas pennii sp. nov. and Ureibacillus galli sp. nov.

Epidemiological Characterization and Genetic Variation of the SARS-CoV-2 Delta Variant in Palestine.

The emergence of new SARS-CoV-2 variants in Palestine highlights the need for continuous genetic surveillance and accurate screening strategies. This case series study aimed to investigate the geographic distribution and genetic variation of the SARS-CoV-2 Delta Variant in Palestine in August 2021. Samples were collected at random in August 2021 (n = 571) from eight districts in the West Bank, Palestine. All samples were confirmed as positive for COVID-19 by RT-PCR. The samples passed the quality control test and were successfully sequenced using the ARTIC protocol. The Delta Variant was revealed to have four dominant lineages: B.1.617 (19%), AY.122 (18%), AY.106 (17%), and AY.121 (13%). The study revealed eight significant purely spatial clusters (p < 0.005) distributed in the northern and southern parts of Palestine. Phylogenetic analysis of SARS-CoV-2 genomes (n = 552) showed no geographically specific clades. The haplotype network revealed three haplogroups without any geographic distribution. Chronologically, the Delta Variant peak in Palestine was shortly preceded by the one in the neighboring Israeli community and shortly followed by the peak in Jordan. In addition, the study revealed an extremely intense transmission network of the Delta Variant circulating between the Palestinian districts as hubs (SHR ≈ 0.5), with Al-Khalil, the district with the highest prevalence of COVID-19, witnessing the highest frequency of transitions. Genetic diversity analysis indicated closely related haplogroups, as haplotype diversity (Hd) is high but has low nucleotide diversity (π). However, nucleotide diversity (π) in Palestine is still higher than the global figures. Neutrality tests were significantly (p < 0.05) low, including Tajima's D, Fu-Li's F, and Fu-Li's D, suggesting one or more of the following: population expansion, selective sweep, and natural negative selection. Wright's F-statistic (Fst) showed genetic differentiation (Fst > 0.25) with low to medium gene flow (Nm). Recombination events were minimal between clusters (Rm) and between adjacent sites (Rs). The study confirms the utility of the whole genome sequence as a surveillance system to track the emergence of new SARS-CoV-2 variants for any possible geographical association and the use of genetic variation analysis and haplotype networking to delineate any minimal change or slight deviation in the viral genome from a reference strain.