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Junín virus (JUNV) is a mammarenavirus that causes Argentine hemorrhagic fever (AHF). Mammarenaviruses are RNA viruses with an ambisense, bi-segmented genome containing four genes encoding the glycoproteins (GPC), the nucleoprotein (NP), the RNA polymerase (L) and the matrix protein (Z). Several JUNV strains with different pathogenicity have already been fully sequenced. We performed a comprehensive and comparative analysis of their genetic differences and phylogeny, focusing on the synonymous codon usage patterns of the JUNV proteins. We found a nucleotide identity of > 95% between strains, with significant differences between all genes for GC% and Z and L genes for GC3%. Analysis of relative synonymous codon usage showed that codons AGA and AGG of the amino acid arginine were overrepresented, while CGC, CGA and CGG of arginine, GCG of alanine, ACG of threonine, CCG of proline and TCG of serine were underrepresented in the GPC, NP and L genes. A weak codon usage bias was observed, with GPC having a significantly higher effective number of codons. Moreover, selection could explain at least 83% of the observed bias. Analysis of the codon adaptation index revealed a better adaptation for B cells and kidney and a lower one for endothelial cells. We also observed a possible reassortment event between the MC2 and Romero strains. This work provides a new perspective on the genetic diversity of JUNV strains, which may contribute to the development of new approaches for future research into the evolutionary model, origin and host adaptation of JUNV causing AHF.

In most Eukaryota, telomeres are protected by the CST complex, composed of CTC1, STN1 and TEN1. In Drosophila, instead, another complex is present, composed of Modigliani, Tea and Verrocchio. We performed a search for STN1 orthologs in Arthropoda, in order to verify if Verrocchio can be considered as such. We found that STN1 in Arthropoda is shorter than in other Metazoa and shares the same architecture with Verrocchio. Despite high sequence divergence between human and Drosophila, we have discovered that Verrocchio is an ortholog of STN1.

The presence of Azotobacter bacteria in the soil plays an important role in increasing its fertility and enhancing plant health. Azotobacter diversity depends on several environmental factors, particularly soil texture, pH, and nutrient content. The current study investigated the diversity of Azotobacter in various soil samples collected from 10 different governorates along the river Nile valley and its delta, Northern Mediterranean shore, Sinai, and Upper Egypt regions. The sampling sites spanned different environmental and ecological conditions of the Egyptian land either cultivated (agricultural land) or uncultivated (desert land). Fifty Azotobacter isolates were isolated and characterized based on cell morphology, culture properties, physiological, biochemical, and molecular characteristics. In addition, the alginate production capacity of the isolates was investigated. The results indicated that Egyptian soils are rich in Azotobacter diversity. The isolates were Gram-negative short rods, appearing either as single cells or in diploid structures. The isolates showed high variability in alginate production where two isolates (BH3 and AST4) were the highest alginate producers (3.12 and 4.22 g alginate L^- 1), respectively. 16S-rDNA sequencing and 16S-rDNA RFLP analyses indicated that despite the presence of Azotobacter salinestris and Azotobacter vinelandii in the Egyptian soil, Azotobacter chroococcum was the predominant species. In addition, sequence analysis of the gene coding for the transcription factor AlgU confirmed the results of 16S-rRNA gene sequence analysis. RAPD-REP and BOX-PCR were used to study the polymorphism among the isolates. High levels of microbial diversity were found using these DNA primers as 6-9 fingerprinting profiles were retrieved.

Abies guatemalensis Rehder, an endangered conifer endemic to Central American highlands, is ecologically vital in upper montane forests. It faces threats from habitat fragmentation, unsustainable logging, and illegal Christmas tree harvesting. While previous genetic studies on mature trees from eighteen populations showed high within-population diversity and limited among-population differentiation, the genetic impact of recent anthropogenic pressures on younger generations has yet to be discovered. Understanding these effects is crucial for developing effective conservation strategies for this vulnerable species. We sampled 170 young trees (< 15 years old) from seven populations across Guatemala. Seven microsatellite markers were used to analyse genetic diversity, population structure, and recent demographic history. Moderate levels of genetic diversity were observed within populations (mean Shannon diversity index = 4.97, mean Simpson's index = 0.51, mean allelic richness = 11.59, mean observed heterozygosity = 0.59). Although genetic structure broadly aligned with mountain corridors, substantial admixture patterns suggest historical connectivity across all populations. Most populations showed evidence of recent bottlenecks (p < 0.05) and inbreeding. The results suggest a potential decline in genetic diversity and increased population structuring (Φ_ST = 0.274, p < 0.01) over the past decades compared to the previous study on old trees. The observed genetic patterns indicate ongoing impacts of habitat fragmentation and anthropogenic pressures on A. guatemalensis. Conservation efforts should prioritise expanding effective population sizes and facilitating gene flow, particularly for isolated populations. While restoration efforts may be logistically easier within mountain ranges, genetic evidence suggests that increasing overall population connectivity could benefit this species. Management strategies should implement systematic seed collection protocols to maintain genetic diversity in future populations. These findings highlight the urgent need for conservation measures to preserve remaining genetic diversity and promote connectivity among A. guatemalensis populations.

Due to the increase in demand for food production worldwide, the cultivation of improved varieties is used as a strategy in order to maximize production. The improved Maradol papaya variety was introduced to the Yucatan Peninsula (YP), Mexico, the Mesoamerican diversity area of papaya, in the 1990s. The domesticated and wild papaya belong to the same species (Carica papaya L.), which promotes gene flow from crops to their wild relatives, threatening the genetic diversity of wild papaya populations in the region. In this study, we used a population genomic approach to evaluate the impact of domesticated-to-wild gene flow on the genetic structure and diversity of wild papaya in the YP. We used 2054 SNP markers for 227 wild individuals from 15 collection sites and 127 domesticated individuals from 13 Maradol papaya plantations. We found, (a) the presence of individuals that may be the result of a hybridization process between wild and domesticated papaya; (b) a higher genetic diversity in the wild group (H_E = 0.18) in comparison to the domesticated group (H_E = 0.09); and (c) low migration rates from domesticated to wild plants (m = 0.005). The domesticated-to-wild gene flow in C. papaya can have a negative effect on the genetic diversity and adaptive potential of wild populations from this region. The conservation of crop wild relatives should be a priority since they are part of various ecological processes and are considered natural reservoirs of genetic diversity for crops.

The taxonomic concepts and phylogenetic relations among genera of the family Mniaceae have given rise to much controversy in recent years, including Mnium, Plagiomnium, and Pohlia. Chloroplast genome study of these genera will be helpful to reflect the fact of this relationship. In this study, we sequenced three species in the Plagiomnium genus using an Illumina HiSeq 4000 platform. The complete chloroplast genomes of P. rostratum, P. succulentum and P. vesicatum were 125,196 bp, 124,689 bp, and 124,663 bp in length, which all contained a quadripartite structure including two copies of the invert repeats (IR, 10,120 bp, 9,818 bp, and 9,665 bp), one large single copy region (LSC, 86,395 bp, 86,299 bp, and 86,532 bp), and one single copy region (SSC, 18,561 bp, 18,754 bp, and 18,801 bp). The overall GC contents were 29.8%, 30.5%, and 30.5% respectively. The simple sequence repeats (SSRs) were detected in conjunction with Plagiomnium acutum, with variable sites genes observed: rpoC2, ycf1, and ycf2. Combined with the other three sequences published in Mniaceae, analyses of codon usage, repeats sequences, GC contents, and gene features revealed similarities among the seven species in Mniaceae. The trend of nucleotide diversity (Pi) in the seven complete chloroplast genomes showed Pi > 0.056: trnI-rpl23, petG-petL-psbE, trnK-chlB, trnG-trnR-atpA, rpoB-trnC-ycf66, ndhB, trnN-ndhF, and rps15-ycf1. We confirmed the phylogenetic relationships that Plagiomnium genus is a sister group with Mnium, while the Pohlia genus is not a monophyletic group. Phylogenetic analyses corroborated the monophyly of Mniaceae and supported the transfer of the Pohlia genus into Mniaceae.

The auxin response factor (ARF) is a plant-specific transcription factor that regulates the expression of auxin response genes by binding directly to their promoters. They play an important role in the regulation of plant growth and development, as well as in the response to biotic and abiotic stresses. However, the identification and functional analysis of ARFs in Fagopyrum dibotrys are still unclear. In this study, a total of 26 FdARF genes were identified using bioinformatic methods. Their chromosomal location, gene structure, physical and chemical properties of their encoded protein, subcellular location, phylogenetic tree, conserved motifs and cis-acting elements in FdARF promoters were analyzed. The results showed that 26 FdARF genes were unevenly distributed on 8 chromosomes, with the largest distribution on chromosome 4 and the least distribution on chromosome 3. Most FdARF proteins are located in the nucleus, except for the proteins FdARF7 and FdARF21 located to the cytoplasm and nucleus, while FdARF14, FdARF16, and FdARF25 proteins are located outside the chloroplast and nucleus. According to phylogenetic analysis, 26 FdARF genes were divided into 6 subgroups. Duplication analysis indicates that the expansion of the FdARF gene family was derived from segmental duplication rather than tandem duplication. The prediction based on cis-elements of the promoter showed that 26 FdARF genes were rich in multiple stress response elements, suggesting that FdARFs may be involved in the response to abiotic stress. Expression profiling analysis showed that most of the FdARF genes were expressed in the roots, stems, leaves, and tubers of F. dibotrys, but their expression exhibits a certain degree of tissue specificity. qRT-PCR analysis revealed that most members of the FdARF gene were up- or down-regulated in response to abiotic stress. The results of this study expand our understanding of the functional role of FdARFs in response to abiotic stress and lay a theoretical foundation for further exploration of other functions of FdARF genes.

Here we intend to shift the "DNA- and information-centric" conception of biological inheritance, with the accompanying exclusion of any non-DNA matter, to a "poly-matter network" framework which, in addition to DNA, considers the action of other cellular membranous constituents. These cellular structures, in particular organelles and plasma membranes, express "landscapes" of specific topologies at their surfaces, which may become altered in response to certain environmental factors. These so-called "membranous environmental landscapes" (MELs), which replicate by self-organization / autopoiesis rather than self-assembly, are transferred from donor to acceptor cells by various - vesicular and non-vesicular - mechanisms and exert novel features in the acceptor cells. The "DNA-centric" conception may be certainly explanatorily sufficient for the transfer of heritable phenotype variation to acceptor cells following the copying of DNA in donor cells and thereby for the phenomenon of biological inheritance of traits. However, it is not causally sufficient. With the observation of phenotype variation, as initially manifested during bacterial transformation, the impact of environmental factors, such as nutrition and stress, in the differential regulation of gene expression has been widely accepted and resulted in intense efforts to resolve the underlying epigenetic mechanisms. However, these are explained under a conceptual frame where the DNA (and associated proteins) are the only matter of inheritance. In contrast, it is our argumentation that inheritance can only be adequately understood as the transfer of DNA in concert with non-DNA matter in a "poly-matter network" conception. The adequate inclusion of the transfer of non-DNA matter is still a desideratum of future genetic research, which may pave the way for the experimental elucidation not only of how DNA and membrane matter act in concert to enable the inheritance of innate traits, but also whether they interact for that of acquired biological traits. Moreover, the "poly-matter network" conception may open new perspectives for an understanding of the pathogenesis of "common complex" diseases.

Biologists currently have an assortment of high-throughput sequencing techniques allowing the study of population dynamics in increasing detail. The utility of genetic estimates depends on their ability to recover meaningful approximations while filtering out noise produced by artifacts. In this study, we empirically compared the congruence of two reduced representation approaches (genotyping-by-sequencing, GBS, and whole-exome sequencing, WES) in estimating genetic diversity and population structure using SNP markers typed in a small number of wild jaguar (Panthera onca) samples from South America. Due to its targeted nature, WES allowed for a more straightforward reconstruction of loci compared to GBS, facilitating the identification of true polymorphisms across individuals. We therefore used WES-derived metrics as a benchmark against which GBS-derived indicators were compared, adjusting parameters for locus assembly and SNP filtering in the latter. We observed significant variation in SNP call rates across samples in GBS datasets, leading to a recurrent miscalling of heterozygous sites. This issue was further amplified by small sample sizes, ultimately impacting the consistency of summary statistics between genotyping methods. Recognizing that the genetic markers obtained from GBS and WES are intrinsically different due to varying evolutionary pressures, particularly selection, we consider that our empirical comparison offers valuable insights and highlights critical considerations for estimating population genetic attributes using reduced representation datasets. Our results emphasize the critical need for careful evaluation of missing data and stringent filtering to achieve reliable estimates of genetic diversity and differentiation in elusive wildlife species.

Despite being identified in previous articles, the pathogenesis-related 10 (PR-10) protein remains relatively overlooked and has yet to be fully characterized in numerous plant species. This research employs a comprehensive data mining approach to in silico characterize PR-10 proteins in cassava, a vital crop plant globally. In this study, the focus was on in silico identified 53 cassava PR-10 proteins, which can be categorized into two main subgroups: 34 major latex proteins (MLPs) and 13 major allergen proteins, Pru ar 1, based on their phylogenetic relationship. The genome collinearity analysis with the rubber tree showed a possible evolutionary relationship of the PR-10 gene between these two Euphorbiaceae species, specifically on their chromosome 15. Notably, MLP423 and other MLP proteins were identified in various previously published cassava transcriptome datasets in response to biotic treatments from diverse phytopathogens, including anthracnose fungus, viruses, and bacterial blight. Ligand prediction and molecular docking of three MLP423 proteins have revealed potential interaction with cytokinin and abscisic acid hormones. Their expressions and predicted binding affinities are discussed here, highlighting their role as contributors to cassava's defense network against key diseases.