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The feature matching algorithm based on deep learning has achieved superior performance compared to traditional algorithms in terms of both matching quantity and accuracy, but there are still some high-error matching results in complex scenes, which adversely affects the subsequent work. Based on SuperGlue, we propose an accurate feature matching algorithm via outlier filtering. Firstly, DBSCAN real-time superpixel segmentation (RTSS-DBSCAN) is used to divide the image into regions, and then the outlier filtering module is designed according to the local similarity principle of feature matching. On the premise of not affecting the correct matching results, the matching results with high errors will be filtered to improve the matching accuracy. Meanwhile, due to the lag of traditional Exponential Moving Average algorithm (EMA), an adaptive EMA is designed and integrated into the SuperGlue training process to further improve the training speed and matching accuracy. We evaluate the overall performance of the matching method using the AUC of pose error at the thresholds (5°, 10°, 20°), a common evaluation metric, to provide a more detailed and intuitive evaluation of the matching effectiveness using precision and recall. The experimental results show that the method in this paper can effectively filter the matching results with large errors and has high accuracy and robustness. The AUC of pose error at thresholds (5°, 10°, 20°) reaches 36.53, 56.23, and 73.68, and the precision and recall reach 80.07 and 91.52, respectively, which have better matching results compared with other algorithms. [ABSTRACT FROM AUTHOR]

Background: Fungi exhibit astonishing diversity with multiple major phenotypic transitions over the kingdom's evolutionary history. As part of this process, fungi developed hyphae, adapted to land environments (terrestrialization), and innovated their sexual structures. These changes also helped fungi establish ecological relationships with other organisms (animals and plants), but the genomic basis of these changes remains largely unknown. Results: By systematically analyzing 304 genomes from all major fungal groups, together with a broad range of eukaryotic outgroups, we have identified 188 novel orthogroups associated with major changes during the evolution of fungi. Functional annotations suggest that many of these orthogroups were involved in the formation of key trait innovations in extant fungi and are functionally connected. These innovations include components for cell wall formation, functioning of the spindle pole body, polarisome formation, hyphal growth, and mating group signaling. Innovation of mitochondria-localized proteins occurred widely during fungal transitions, indicating their previously unrecognized importance. We also find that prokaryote-derived horizontal gene transfer provided a small source of evolutionary novelty with such genes involved in key metabolic pathways. Conclusions: The overall picture is one of a relatively small number of novel genes appearing at major evolutionary transitions in the phylogeny of fungi, with most arising de novo and horizontal gene transfer providing only a small additional source of evolutionary novelty. Our findings contribute to an increasingly detailed portrait of the gene families that define fungal phyla and underpin core features of extant fungi. [ABSTRACT FROM AUTHOR]

Summary: Mitochondrial recombination in yeast is well recognized, yet the underlying genetic mechanisms are not well understood. Recent progress has suggested that mobile introns in mitochondrial genomes (mitogenomes) can facilitate the recombination of their corresponding intron‐containing genes through a mechanism known as intron homing. As many mitochondrial genes lack introns, there is a critical need to determine the extent of recombination and underlying mechanism of intron‐lacking genes. This study leverages yeast mitogenomes to address these questions. In Saccharomyces cerevisiae, the 3′‐end sequences of at least three intron‐lacking mitochondrial genes exhibit elevated nucleotide diversity and recombination hotspots. Each of these 3′‐end sequences is immediately adjacent to or even fused as overlapping genes with a stand‐alone endonuclease. Our findings suggest that SAEs are responsible for recombination and elevated diversity of adjacent intron‐lacking genes. SAEs were also evident to drive recombination of intron‐lacking genes in Lachancea kluyveri, a yeast species that diverged from S. cerevisiae more than 100 million years ago. These results suggest SAEs as a common driver in recombination of intron‐lacking genes during mitogenome evolution. We postulate that the linkage between intron‐lacking gene and its adjacent endonuclease gene is the result of co‐evolution. [ABSTRACT FROM AUTHOR]

Abstract: Gene sequences can undergo accelerated nucleotide changes and rapid diversification. The rapid sequence changes can then potentially lead to phylogenetic incongruence. Recently, Bodilis et al. (2011) observed artificial phylogenetic incongruence using the Pseudomonas surface protein gene oprF, and hypothesized that it was the result of a long-branch attraction artifact ultimately caused by adaptive radiation. In this study, an alternative hypothesis, namely fine-scale recombination, was tested on the same dataset. The results reveal that regions in oprF are of different evolutionary origins, and the mosaic gene structure resulted in confounding phylogenetic signals. These findings demonstrate that unrecognized fine-scale recombination can confound the phylogenetic interpretation and emphasize the limitation of using whole genes as the unit of phylogenetic analysis. [Copyright &y& Elsevier]

Due to divergence, genetic variation is generally believed to be high among distantly related strains, low among closely related ones and little or none within the same classified clonal groups. Several recent genome-wide studies, however, revealed that significant genetic variation resides in a considerable number of genes among strains with identical MLST (Multilocus sequence typing) types and much of the variation was introduced by homologous recombination. Recognizing and understanding genomic variation within clonal bacterial groups could shed new light on the evolutionary path of infectious agents and the emergence of particularly pathogenic or virulent variants. This commentary presents our recent contributions to this line of work. [ABSTRACT FROM AUTHOR]

Abstract: The evolution of influenza viruses is remarkably dynamic. Influenza viruses evolve rapidly in sequence and undergo frequent reassortment of different gene segments. Homologous recombination, although commonly seen as an important component of dynamic genome evolution in many other organisms, is believed to be rare in influenza. In this study, 256 gene segments from 32 influenza A genomes were examined for homologous recombination, three recombinant H1N1 strains were detected and they most likely resulted from one recombination event between two closely rated parental sequences. These findings suggest that homologous recombination in influenza viruses tends to take place between strains sharing high sequence similarity. The three recombinant strains were isolated at different time periods and they form a clade, indicating that recombinant strains could circulate. In addition, the simulation results showed that many recombinant sequences might not be detectable by currently existing recombinant detection programs when the parental sequences are of high sequence similarity. Finally, possible ways were discussed to improve the accuracy of the detection for recombinant sequences in influenza. [Copyright &y& Elsevier]

Meningococcal disease is a widely distributed complex disease affecting all age categories. It can cause severe meningitis and septicemia, especially in unvaccinated infants and young children. The causative agent, Neisseria meningitidis (Nm), can be phenotypically and genetically differentiated into serogroups and sequence types (STs) and has a highly dynamic population structure. To obtain a deeper understanding of the epidemiology of Nm, we sequenced seven Nm genomes. Large-scale genomic analysis was conducted with these 7 Nm genomes, 27 additional Nm genomes from GenBank, and 4 other Neisseria genomes. We observed extensive homologous recombination in all gene functional categories among different Nm genomes. Homologous recombination is so frequent that it has resulted in numerous chimeric open reading frames, including genes in the capsule biosynthesis cluster and loci targeted by commercial vaccines. Our results reveal that, despite widespread use, evolutionary relationships inferred from the standard seven-gene multilocus sequence typing (MLST) method could not predict virulence gene content or strain phenotype. In fact, up to 28% of the virulence-associated genes could differ between strains of identical STs. Consistent with previous studies, we found that allelic recombination is also associated with alterations in antibiotic susceptibility. Overall, these findings emphasize the extensive genomic plasticity of Nm and the limitations of standard molecular methods to quantify this genotypic and phenotypic diversity. [ABSTRACT FROM AUTHOR]

Abstract: Methods for assessing gene presence and absence have been widely used to study bacterial genome evolution. A recent report by Zhaxybayeva et al. [Zhaxybayeva, O., Nesbo, C. L., and Doolittle, W. F., 2007. Systematic overestimation of gene gain through false diagnosis of gene absence. Genome. Biol. 8, 402] suggests that false diagnosis of gene absence or the presence of undetected truncated genes leads to a systematic overestimation of gene gain. Here (1) we argue that these annotation errors can cause more complicated effects and are not necessarily systematic, (2) we argue that current annotations (supplemented with BLAST searches) are the best way to consistently score gene presence/absence and (3) that genome wide estimates of gene gain/loss are not strongly affected by small differences in gene annotations but that the number of related gene families is strongly affected. We have estimated the rates of gene insertions/deletions using a variety of cutoff thresholds and match lengths as a way in which to alter the recognition of genes and gene fragments. The results reveal that different cutoffs for match length only cause a small variation of the estimated insertion/deletion rates. The rates of gene insertions/deletions on recent branches remain relatively high regardless of the thresholds for match length. Lastly (4), the dynamic process of gene truncation needs to be further considered in genome comparison studies. The data presented suggest that gene truncation tends to take place preferentially in recently transferred genes, which supports a fast turnover of recent laterally transferred genes. The presence of truncated genes or false diagnosis of gene absence therefore does not significantly affect the estimation of gene insertions/deletions rates, but there are several other factors that bias the results toward an under-estimation of the rate of gene insertion/deletion. All of these factors need to be considered. [Copyright &y& Elsevier]

Cloud detection is an important step in remote sensing image processing and a prerequisite for subsequent analysis and interpretation of remote sensing images. Traditional cloud detection methods are difficult to accurately detect clouds and snow with very similar features such as color and texture. In this paper, the features of cloud and snow in remote sensing images are deeply extracted, and an accurate cloud and snow detection method is proposed based on the advantages of Unet3+ network in feature fusion. Firstly, color space conversion is performed on remote sensing images, RGB images and HIS images are used as input of Unet3+ network. Resnet 50 is used to replace the Unet3+ feature extraction network to extract remote sensing image features at a deeper level, and add the Convolutional Block Attention Module in Resnet50 to improve the network's attention to cloud and snow. Finally, the weighted cross entropy loss is constructed to solve the problem of unbalanced sample number caused by high proportion of background area in the image. The results show that the proposed method has strong adaptability and moderate computation. The mPA value, mIoU value and mPrecision value can reach 92.76%, 81.74% and 86.49%, respectively. Compared with other algorithms, the proposed method can better eliminate all kinds of interference information in remote sensing images of different landforms and accurately detect cloud and snow in images. [ABSTRACT FROM AUTHOR]

We analyzed travel-associated clinical isolates of Escherichia coli O104:H4, including 1 from the 2011 German outbreak and 1 from a patient who returned from the Philippines in 2010, by genome sequencing and optical mapping. Despite extensive genomic similarity between these strains, key differences included the distribution of toxin and antimicrobial drug-resistance determinants. [ABSTRACT FROM AUTHOR]

Genome-wide nucleotide composition varies widely among species. Despite extensive research, the source of genome-wide nucleotide composition diversity remains elusive. Yeast mitochondrial genomes (mitogenomes) are highly A + T rich, and they provide a unique opportunity to study the evolution of AT-biased landscape. In this study, we sequenced ten complete mitogenomes of the Saccharomycodes ludwigii yeast with 8% G + C content, the lowest genome-wide %(G + C) in all published genomes to date. The S. ludwigii mitogenomes have high densities of short tandem repeats but severely underrepresented mononucleotide repeats. Comparative population genomics of these record-setting A + T-rich genomes shows dynamic indel mutations and strong mutation bias toward A/T. Indel mutations play a greater role in genomic variation among very closely related strains than nucleotide substitutions. Indels have resulted in presence–absence polymorphism of tRNAArg (ACG) among S. ludwigii mitogenomes. Interestingly, these mitogenomes have undergone recombination, a genetic process that can increase G + C content by GC-biased gene conversion. Finally, the expected equilibrium G + C content under mutation pressure alone is higher than observed G + C content, suggesting existence of mechanisms other than AT-biased mutation operating to increase A/T. Together, our findings shed new lights on mechanisms driving extremely AT-rich genomes. [ABSTRACT FROM AUTHOR]

Urban agricultural soils can be an important reservoir of antibiotic resistance, and have great food safety and public health indications. This study investigated antibiotic-resistant bacteria and antibiotic resistance genes in urban agricultural soils using phenotypic and metagenomic tools. In total, 207 soil bacteria were recovered from 41 soil samples collected from an urban agricultural garden in Detroit, MI, USA. The most prevalent antibiotic resistance phenotype demonstrated by Gram-negative bacteria was resistance to ampicillin (94.2%), followed by chloramphenicol (80.0%), cefoxitin (79.5%), gentamicin (78.4%) and ceftriaxone (71.1%). All Gram-positive bacteria were resistant to gentamicin, kanamycin and penicillin. Genes encoding resistance to quinolones, β-lactams and tetracyclines were the most prevalent and abundant in the soil. qepA and tetA , both encoding efflux pumps, predominated in the quinolone and tetracycline resistance genes tested, respectively. Positive correlation ( P <0.05) was identified among groups of antibiotic resistance genes, and between antibiotic resistance genes and metal resistance genes. The data demonstrated a diverse population of antibiotic resistance in urban agricultural soils. Phenotypic determination together with soil metagenomics proved to be a valuable tool to study the nature and extent of antibiotic resistance in the environment. [ABSTRACT FROM AUTHOR]

The study of genetic and phenotypic variation is fundamental for understanding the dynamics of bacterial genome evolution and untangling the evolution and epidemiology of bacterial pathogens. Neisseria meningitidis (Nm) is among the most intriguing bacterial pathogens in genomic studies due to its dynamic population structure and complex forms of pathogenicity. Extensive genomic variation within identical clonal complexes (CCs) in Nm has been recently reported and suggested to be the result of homologous recombination, but the extent to which recombination contributes to genomic variation within identical CCs has remained unclear. In this study, we sequenced two Nm strains of identical serogroup (C) and multi-locus sequence type (ST60), and conducted a systematic analysis with an additional 34 Nm genomes. Our results revealed that all gene content variation between the two ST60 genomes was introduced by homologous recombination at the conserved flanking genes, and 94.25% or more of sequence divergence was caused by homologous recombination. Recombination was found in genes associated with virulence factors, antigenic outer membrane proteins, and vaccine targets, suggesting an important role of homologous recombination in rapidly altering the pathogenicity and antigenicity of Nm. Recombination was also evident in genes of the restriction and modification systems, which may undermine barriers to DNA exchange. In conclusion, homologous recombination can drive both gene content variation and sequence divergence in Nm. These findings shed new light on the understanding of the rapid pathoadaptive evolution of Nm and other recombinogenic bacterial pathogens. [ABSTRACT FROM PUBLISHER]