Optimizing parameter search for community detection in time-evolving networks of complex systems.

Network representations have been effectively employed to analyze complex systems across various areas and applications, leading to the development of network science as a core tool to study systems with multiple components and complex interactions. There is a growing interest in understanding the temporal dynamics of complex networks to decode the underlying dynamic processes through the temporal changes in network structures. Community detection algorithms, which are specialized clustering algorithms, have been instrumental in studying these temporal changes. They work by grouping nodes into communities based on the structure and intensity of network connections over time, aiming to maximize the modularity of the network partition. However, the performance of these algorithms is highly influenced by the selection of resolution parameters of the modularity function used, which dictate the scale of the represented network, in both size of communities and the temporal resolution of the dynamic structure. The selection of these parameters has often been subjective and reliant on the characteristics of the data used to create the network. Here, we introduce a method to objectively determine the values of the resolution parameters based on the elements of self-organization and scale-invariance. We propose two key approaches: (1) minimization of biases in spatial scale network characterization and (2) maximization of scale-freeness in temporal network reconfigurations. We demonstrate the effectiveness of these approaches using benchmark network structures as well as real-world datasets. To implement our method, we also provide an automated parameter selection software package that can be applied to a wide range of complex systems.

Taxonomic and Phylogenomic Assessment Identifies Phytopathogenicity Potential of Stenotrophomonas maltophilia Complex.

Stenotrophomonas maltophilia is a versatile bacterium found in plants, water, air, and even hospital settings. Deep taxono phylogenomics studies have revealed that S. maltophilia is a complex of several hidden species that are not differentiated using conventional approaches. In the last two decades, there have been increasing reports of S. maltophilia as a pathogen of diverse plants. Hence, proper taxonogenomic assessment of plant-pathogenic strains and species within the S. maltophilia complex (Smc) is required. In the present study, we formally propose a taxonomic amendment of Pseudomonas hibiscicola and P. beteli, reported as pathogens of Hibiscus rosa-sinensis and Betelvine (Piper betle) plants, respectively, as a misclassified member species of the Smc. Recently, a novel species of the genus, S. cyclobalanopsidis, was reported as a leaf spot pathogen of the oak tree genus Cyclobalanopsis. Interestingly, our investigation also revealed S. cyclobalanopsidis as another plant-pathogenic member species of the Smc lineage. In addition, we provide deep phylo-taxonogenomic evidence that S. maltophilia strain JZL8, reported as a plant pathogen, is a misclassified strain of S. geniculata, making it the fourth member species of the Smc harboring plant-pathogenic strains. Therefore, a proper taxonomic assessment of plant-pathogenic strains and species from the Smc is required for further systematic studies and management.

Insights into the Diversity of Transcription Activator-Like Effectors in Indian Pathotype Strains of Xanthomonas oryzae pv. oryzae.

Xanthomonas oryzae pv. oryzae (Xoo) is a major rice pathogen, and its genome harbors extensive inter-strain and inter-lineage variations. The emergence of highly virulent pathotypes of Xoo that can overcome major resistance (R) genes deployed in rice breeding programs is a grave threat to rice cultivation. The present study reports on a long-read Oxford nanopore-based complete genomic investigation of Xoo isolates from 11 pathotypes that are reported based on their reaction toward 10 R genes. The investigation revealed remarkable variation in the genome structure in the strains belonging to different pathotypes. Furthermore, transcription activator-like effector (TALE) proteins secreted by the type III secretion system display marked variation in content, genomic location, classes, and DNA-binding domain. We also found the association of tal genes in the vicinity of regions with genome structural variations. Furthermore, in silico analysis of the genome-wide rice targets of TALEs allowed us to understand the emergence of pathotypes compatible with major R genes. Long-read, cost-effective sequencing technologies such as nanopore can be a game changer in the surveillance of major and emerging pathotypes. The resource and findings will be invaluable in the management of Xoo and in appropriate deployment of R genes in rice breeding programs.

Deep Population Genomics Reveals Systematic and Parallel Evolution at a Lipopolysaccharide Biosynthetic Locus in Xanthomonas Pathogens That Infect Rice and Sugarcane.

The advent of high-throughput sequencing and population genomics has enabled researchers to investigate selection pressure at hypervariable genomic loci encoding pathogen-associated molecular pattern (PAMP) molecules like lipopolysaccharide (LPS). Xanthomonas is a model and a major group of phytopathogenic bacteria that infect hosts in tissue-specific manner. Our in-depth population-based genomic investigation revealed the emergence of major lineages in two Xanthomonas pathogens that infect xylem of rice and sugarcane is associated with the acquisition and later large-scale replacement by distinct type of LPS cassettes. In the population of the rice xylem pathogen, Xanthomonas oryzae pv. oryzae (Xoo) and sugarcane pathogens Xanthomonas sacchari (Xsac) and Xanthomonas vasicola (Xvv), the BXO8 type of LPS cassette is replaced by a BXO1 type of cassette in Xoo and by Xvv type LPS cassette in Xsac and Xvv. These findings suggest a wave of parallel evolution at an LPS locus mediated by horizontal gene transfer (HGT) events during its adaptation and emergence. Aside from xylem pathogens, two closely related lineages of Xoo that infect parenchyma of rice and Leersia hexandra grass have acquired an LPS cassette from Xanthomonas pathogens that infect parenchyma of citrus, walnut, and strawberries, indicating yet another instance of parallel evolution mediated by HGT at an LPS locus. Our targeted and megapopulation-based genome dynamic studies revealed the acquisition and dominance of specific types of LPS cassettes in adaptation and success of a major group of phytopathogenic bacteria. IMPORTANCE Lipopolysaccharide (LPS) is a major microbe associated molecular pattern and hence a major immunomodulator. As a major and outer member component, it is expected that LPS is a frontline defense mechanism to deal with different host responses. Limited studies have indicated that LPS loci are also highly variable at strain and species level in plant-pathogenic bacteria, suggesting strong selection pressure from plants and associated niches. The advent of high-throughput genomics has led to the availability of a large set of genomic resources at taxonomic and population levels. This provides an exciting and important opportunity to carryout megascale targeted and population-based comparative genomic/association studies at important loci like those encoding LPS biosynthesis to understand their role in the evolution of the host, tissue specificity, and also predominant lineages. Such studies will also fill major gap in understanding host and tissue specificity in pathogenic bacteria. Our pioneering study uses the Xanthomonas group of phytopathogens that are known for their characteristic host and tissue specificity. The present deep phylogenomics of diverse Xanthomonas species and its members revealed lineage association and dominance of distinct types of LPS in accordance with their origin, host, tissue specificity, and evolutionary success.

Reclassification of Streptococcus ilei as a later heterotypic synonym of Streptococcus koreensis based on whole-genome sequence analysis.

The genus Streptococcus, a member of family Streptococcaceae, is known for its wide range of industrial, clinical and human relevance. Among the species of genus Streptococcus two members, namely Streptococcus koreensis and Streptococcus ilei, were isolated from subgingival dental plaque and human small intestinal fluid, respectively. The 16S rRNA gene sequence similarity of the type strains of these members shows a similarity of 99.87%. In this study, we performed a systematic study to clarify the taxonomic assignment of these two species. Genome similarity assessment based on whole-genome sequence information such as average nucleotide identity using orthoANI and fastANI, digital DNA-DNA hybridization value between S. koreensis and S. ilei were 96.31, 96.60, 86.4 and 97.63, respectively. All these genome similarity values clearly exceeded the species delineation cutoffs. Phylogenetic assessment using 16S rRNA gene and whole-genome information using PhyloPhlAn, which uses around 400 conserved genes across bacterial phyla, provides additional evidence for these members forming a monophyletic clade in the phylogenetic tree. Pan genome analysis suggests a very large core genome (n = 1374) and the presence of no unique gene between the genomes of S. koreensis and S. ilei. Additionally, we found highly syntenic genomes of type strains of these two species. Based on these evidences, we propose S. ilei should be reclassified as a later heterotypic synonym of S. koreensis.

Phylo-Taxonogenomics Supports Revision of Taxonomic Status of 20 Xanthomonas Pathovars to Xanthomonas citri.

Based on phylo-taxonogenomics criteria, we present amended descriptions for 20 pathovars to Xanthomonas citri. Incidentally, 18 were first reported from India. Seven out of twenty are classified as X. axonopodis, 12 out of 20 as X. campestris, and one as X. cissicola. In this study, we have generated genome sequence data of four pathovars, and the genomes of the remaining 16 were used from the published data. Comprehensive genome-based phylogenomic and taxonogenomic analyses reveal that all these pathovars belong to X. citri and need to reconcile their taxonomic status. This proposal will aid in systematic studies of a major species and its constitutent members that infect economically important plants.

Xanthomonas indica sp. nov., a Novel Member of Non-Pathogenic Xanthomonas Community from Healthy Rice Seeds.

Xanthomonas is a major group of pathogenic bacteria infecting staple food crops like rice. Increasingly it is being recognized that non-pathogenic Xanthomonas (NPX) are also important members of a healthy plant microbiome. However, the vast majority of the species described in this genus are of pathogenic nature, and only a few NPX species have been reported till now. Genomic and taxonogenomic analysis of NPX is needed for the management of this important group of bacteria. In this study, two yellow-pigmented bacterial isolates were obtained from healthy rice seeds in Punjab, India. The isolates designated PPL560T and PPL568 were identified as members of the genus Xanthomonas based on biochemical tests and 16S rRNA gene sequence analysis retrieved from the whole-genome sequences. Isolates formed a distinct monophyletic lineage with Xanthomonas sontii and Xanthomonas sacchari as the closest relatives in the phylogenetic tree based on core gene content shared by the representative species of the genus Xanthomonas. Pairwise ortho Average Nucleotide Identity and digital DNA-DNA hybridization values calculated against other species of Xanthomonas were below their respective cut-offs. In planta studies revealed that PPL560T and PPL568 are non-pathogenic to rice plants upon leaf clip inoculation. The absence of type III secretion system-related genes and effectors further supported their non-pathogenic status. Herein, we propose Xanthomonas indica sp. nov. as novel species of the genus Xanthomonas with PPL560T = MTCC 13185 = CFBP 9039 = ICMP 24394 as its type strain and PPL568 as another constituent member.

Comparative genomics analysis of genus Leuconostoc resolves its taxonomy and elucidates its biotechnological importance.

Genus Leuconostoc consists of a diverse range of lactic acid bacteria (LAB) from dairy, food and environmental ecology. Even though the species of Leuconostoc are commercially significant, their taxonomy is largely based on old, low-resolution classical methods. Several taxonomic reclassifications in the past were inadequate for microbiologist and food industry professionals to demarcate any new strain of genus Leuconostoc. The current taxonomy of the genus is largely based on classical approaches, which are in utmost need of reinvestigation by whole genome-based approaches. In the present study, the taxono-phylogenomic analysis depicted sixteen species, including three novel genomospecies and several reshufflings across the species, namely, L. mesenteroides, L. pseudomesenteroides, L. gelidum and L. lactis. Genus-wide T3PKS, CAZymes, and vector plasmids supports its biotechnological potential. However, detection of the antibiotic resistance genes in such an important LAB genus raises concern over their utility in industry. Present, large-scale in-depth genome-based study can shed light on the genome dynamics of the member species, help to obtain a more robust taxonomy and elucidate its biotechnology importance.

Deep phylo-taxono genomics reveals Xylella as a variant lineage of plant associated Xanthomonas and supports their taxonomic reunification along with Stenotrophomonas and Pseudoxanthomonas.

Genus Xanthomonas is a group of phytopathogens that is phylogenetically related to Xylella, Stenotrophomonas, and Pseudoxanthomonas, having diverse lifestyles. Xylella is a lethal plant pathogen with a highly reduced genome, atypical GC content and is taxonomically related to these three genera. Deep phylo-taxono genomics reveals that Xylella is a variant Xanthomonas lineage that is sandwiched between Xanthomonas clades. Comparative studies suggest the role of unique pigment and exopolysaccharide gene clusters in the emergence of Xanthomonas and Xylella clades. Pan-genome analysis identified a set of unique genes associated with sub-lineages representing plant-associated Xanthomonas clade and nosocomial origin Stenotrophomonas clade. Overall, our study reveals the importance of reconciling classical phenotypic data and genomic findings in reconstituting the taxonomic status of these four genera. SIGNIFICANCE STATEMENT: Xylella fastidiosa is a devastating pathogen of perennial dicots such as grapes, citrus, coffee, and olives. An insect vector transmits the pathogen to its specific host wherein the infection leads to complete wilting of the plants. The genome of X. fastidiosa is significantly reduced both in terms of size (2 Mb) and GC content (50%) when compared with its relatives such as Xanthomonas, Stenotrophomonas, and Pseudoxanthomonas that have higher GC content (65%) and larger genomes (5 Mb). In this study, using systematic and in-depth genome-based taxonomic and phylogenetic criteria and comparative studies, we assert the need to unify Xanthomonas with its relatives (Xylella, Stenotrophomonas and Pseudoxanthomonas). Interestingly, Xylella revealed itself as a minor variant lineage embedded within two major Xanthomonas lineages comprising member species of different hosts.

Scale-specific dynamics of high-amplitude bursts in EEG capture behaviorally meaningful variability.

Cascading high-amplitude bursts in neural activity, termed avalanches, are thought to provide insight into the complex spatially distributed interactions in neural systems. In human neuroimaging, for example, avalanches occurring during resting-state show scale-invariant dynamics, supporting the hypothesis that the brain operates near a critical point that enables long range spatial communication. In fact, it has been suggested that such scale-invariant dynamics, characterized by a power-law distribution in these avalanches, are universal in neural systems and emerge through a common mechanism. While the analysis of avalanches and subsequent criticality is increasingly seen as a framework for using complex systems theory to understand brain function, it is unclear how the framework would account for the omnipresent cognitive variability, whether across individuals or tasks. To address this, we analyzed avalanches in the EEG activity of healthy humans during rest as well as two distinct task conditions that varied in cognitive demands and produced behavioral measures unique to each individual. In both rest and task conditions we observed that avalanche dynamics demonstrate scale-invariant characteristics, but differ in their specific features, demonstrating individual variability. Using a new metric we call normalized engagement, which estimates the likelihood for a brain region to produce high-amplitude bursts, we also investigated regional features of avalanche dynamics. Normalized engagement showed not only the expected individual and task dependent variability, but also scale-specificity that correlated with individual behavior. Our results suggest that the study of avalanches in human brain activity provides a tool to assess cognitive variability. Our findings expand our understanding of avalanche features and are supportive of the emerging theoretical idea that the dynamics of an active human brain operate close to a critical-like region and not a singular critical-state.

Genome of Bifidobacterium longum NCIM 5672 provides insights into its acid-tolerance mechanism and probiotic properties.

Bifidobacterium longum NCIM 5672 is a probiotic strain isolated from the Indian infant feces. The probiotic efficacy of Bifidobacteria is majorly affected by its acid tolerance. This study determined the probiotic properties and acid-tolerance mechanism of B. longum NCIM 5672 using whole-genome sequencing. The genome annotation is carried out using the RAST web server and NCBI PGAAP. The draft genome sequence of this strain, assembled in 63 contigs, consists of 22,46,978 base pairs, 1900 coding sequences and a GC content of 59.6%. The genome annotation revealed that seven candidate genes might be involved in regulating the acid tolerance of B. longum NCIM 5672. Furthermore, the presence of genes associated with immunomodulation and cell adhesion support the probiotic background of the strain. The analysis of candidate acid- tolerance-associated genes revealed three genes, argC, argH, and dapA, may play an essential role in high acid tolerance in B. longum NCIM 5672. The results of RT-qPCR supported this conclusion. Altogether, the results presented here supply an effective way to select acid-resistant strains for the food industry and provide new strategies to enhance this species' industrial applications and health-promoting properties.

Xanthomonas sontii sp. nov., a non-pathogenic bacterium isolated from healthy basmati rice (Oryza sativa) seeds from India.

We report three yellow-pigmented, Gram-negative, aerobic, rod-shaped, motile bacterial isolates designated as PPL1T, PPL2, and PPL3 from healthy basmati rice seeds. Phenotypic and 16S rRNA gene sequence analysis assigned these isolates to the genus Xanthomonas. The 16S rRNA showed a 99.59% similarity with X. sacchari CFBP 4641T, a sugarcane pathogen. Further, biochemical and fatty acid analysis revealed it to be closer to X. sacchari. Still, it differed from other species in general and known rice associated species such as X. oryzae (pathogenic) and X. maliensis (non-pathogenic) in particular. Interestingly, the isolatess in this study were isolated from healthy rice plants but are closely related to species that is pathogenic and isolated from diseased sugarcane. Accordingly, in planta studies revealed that PPL1T, PPL2, and PPL3 are non-pathogenic to rice plants upon leaf inoculation. Taxonogenomic studies based on orthologous average nucleotide identity (OrthoANI) and digital DNA-DNA hybridization (dDDH) values with type strains of Xanthomonas species were below the recommended threshold values for species delineation. Whole genome-based phylogenomic analysis revealed that these isolates formed a distinct monophyletic clade with X. sacchari CFBP 4641T as their closest neighbour. Further, pangenome analysis revealed PPL1T, PPL2, and PPL3 isolates to comprise NRPS cluster along with a large number of unique genes associated with the novel species. Based on polyphasic and genomic approaches, a novel lineage and species associated with healthy rice seeds for which the name Xanthomonas sontii sp. nov. is proposed. The type strain for the X. sontii sp. nov. is PPL1T (JCM 33631T = CFBP 8688T = ICMP 23426T = MTCC 12491T) and PPL2 (JCM 33632 = CFBP 8689 = ICMP 23427 = MTCC 12492) and PPL3 (JCM 33633 = CFBP 8690 = ICMP 23428 = MTCC 12493) as other strains of the species.

Genomic insights into evolution of extensive drug resistance in Stenotrophomonas maltophilia complex.

We report first complete genomic investigation of extensive drug resistance (XDR) in a nosocomial Stenotrophomonas maltophilia complex strain that is resistant to mainstream drugs (trimethoprim/sulfamethoxazole and levofloxacin). Comprehensive genomic investigation revealed its exclusive fourteen dynamic regions and highly enriched resistome comprising of two sulfonamide resistance genes on two diverse super-integrons of chromosomal origin. In addition, both these integrons harbour array of antibiotic resistance and commonly used disinfectant's resistance genes linked to ISCR elements. Isolation of a novel XDR strain from Indian tertiary care unit belonging to novel ST with diverse array of resistance genes on ISCR linked super-integrons indicates extent and nature of selection pressure in hospitals. Since, repetitive elements have major role in their spread and due to limitations of draft genomes, there is an urgent need to employ complete genome-based investigation for tracking the emergence of XDR at global level and designing strategies of antimicrobial stewardship and disinfection. IMPORTANCE: Hospital settings in India have one of the highest usages of antimicrobials and a heavy patient load. We hereby report a novel clinical isolate of S. maltophilia complex with two super-integrons that harbour array of antimicrobial resistance genes along with biocide and heavy metal resistance genes. Further, the presence of ISCR type of transposable elements on both the integrons indicates their propensity to transfer resistome while their chromosomal origin suggests possibilities for further genomic/phenotypic complexities according to selection pressure. Such complex mobile cassettes in a novel strain is a potential threat to global health care. Hence, to understand the evolution of opportunistic nosocomial pathogen, there is an urgent need to employ cost-effective long read technologies to keep vigilance on novel and XDR pathogens in populous countries. There is also need for surveillance of the usage of disinfectants and other antimicrobials for environmental hygiene and linked/rapid co-evolution of XDR in nosocomial pathogens. Repositories: Complete genome sequence of Stenotrophomonas maltophilia SM866: CP031058.

Bacteriocin isolated from the natural inhabitant of Allium cepa against Staphylococcus aureus.

Extensive usage of antibiotics has led to the emergence of drug-resistant strains of pathogens and hence, there is an urgent need for alternative antimicrobial agents. Antimicrobial Peptides (AMPs) of bacterial origin have shown the potential to replace some conventional antibiotics. In the present study, an AMP was isolated from Bacillus subtilis subsp. spizizenii strain Ba49 present on the Allium cepa, the common onion and named as peptide-Ba49. The isolated AMP was purified and characterized. The purified peptide-Ba49, having a molecular weight of ~ 3.3 kDa as determined using mass spectroscopy, was stable up to 121 °C and in the pH range of 5-10. Its interaction with protein degrading enzymes confirmed the peptide nature of the molecule. The peptide exhibited low minimum inhibitory concentration (MIC) against Staphylococcus aureus and its (Methicillin-resistant Staphylococcus aureus) MRSA strains (MIC, 2-16 µM/mL). Further, time kill kinetic assay was performed and analysis of the results of membrane depolarization and permeabilization assays (TEM, DiBAC4 (3) and PI) suggested peptide-Ba49 to be acting through the change in membrane potential leading to disruption of S. aureus membrane. Additionally, cytotoxicity studies of peptide-Ba49, carried out using three mammalian cell lines viz. HEK 293T, RAW 264.7, and L929, showed limited cytotoxicity on these cell lines at a concentration much higher than its MIC values. All these studies suggested that the AMP isolated from strain Ba49 (peptide-Ba49) has the potential to be an alternative to antibiotics in terms of eradicating the pathogenic as well as drug-resistant microorganisms.

Data-driven brain network models differentiate variability across language tasks.

The relationship between brain structure and function has been probed using a variety of approaches, but how the underlying structural connectivity of the human brain drives behavior is far from understood. To investigate the effect of anatomical brain organization on human task performance, we use a data-driven computational modeling approach and explore the functional effects of naturally occurring structural differences in brain networks. We construct personalized brain network models by combining anatomical connectivity estimated from diffusion spectrum imaging of individual subjects with a nonlinear model of brain dynamics. By performing computational experiments in which we measure the excitability of the global brain network and spread of synchronization following a targeted computational stimulation, we quantify how individual variation in the underlying connectivity impacts both local and global brain dynamics. We further relate the computational results to individual variability in the subjects' performance of three language-demanding tasks both before and after transcranial magnetic stimulation to the left-inferior frontal gyrus. Our results show that task performance correlates with either local or global measures of functional activity, depending on the complexity of the task. By emphasizing differences in the underlying structural connectivity, our model serves as a powerful tool to assess individual differences in task performances, to dissociate the effect of targeted stimulation in tasks that differ in cognitive demand, and to pave the way for the development of personalized therapeutics.

Ecological and Evolutionary Insights into Xanthomonas citri Pathovar Diversity.

Citrus canker, caused by Xanthomonas citri pv. citri, is a serious disease of citrus plants worldwide. Earlier phylogenetic studies using housekeeping genes revealed that X. citri pv. citri is related to many other pathovars, which can be collectively referred as Xanthomonas citri pathovars (XCPs). From the present study, we report the genome sequences of 18 XCPs and compared them with four XCPs available in the public domain. In a tree based on phylogenomic marker genes, all the XCPs form a monophyletic cluster, suggesting their origin from a common ancestor. Phylogenomic analysis using the type strain further established that all the XCPs belong to one species. Clonal analysis of the core genome revealed the presence of two major lineages within this monophyletic cluster consisting of some clonal variants. Incidentally, the majority of these XCPs were first noticed in India, corroborating their clonal relationship and their common origin. Comparative analysis revealed an open pan-genome and the role of interstrain genomic flux of these XCPs since their diversification from a common ancestor. Even though there are wide variations in type III gene effectomes, we identified three core effectors which can be valuable in resistance-breeding programs. Overall, genomic examination of ecological relatives allowed us to dissect the tremendous genomic potential of X. citri species to rapidly evolve into specialized strains infecting diverse crop plants.IMPORTANCE Host specialization is one of the characteristic features of highly evolved pathogens such as the Xanthomonas group of phytopathogenic bacteria. Since the hosts involve staple crops and economically important fruits such as citrus, detailed understanding of the diversity and evolution of such strains infecting diverse plants is important for quarantine purposes. In the present study, we carried out genomic investigation of members of a phylogenetically and ecologically defined group of Xanthomonas strains pathogenic to diverse plants, including citrus. This group includes the oldest Xanthomonas pathovars and also recently emerged pathovars in a particular country where they are endemic. Our high-throughput genomic study has provided novel insights into the evolution of a unique lineage consisting of serious pathogens and their ecological relatives, suggesting the nature, scope, and pattern of rapid and recent diversification. Further, from the level of species to that of clonal variants, the study revealed interesting genomic patterns in diversification of a Xanthomonas lineage and perhaps will inspire careful study of the host range of the included pathovars.

Experimental observation of chimera and cluster states in a minimal globally coupled network.

A "chimera state" is a dynamical pattern that occurs in a network of coupled identical oscillators when the symmetry of the oscillator population is broken into synchronous and asynchronous parts. We report the experimental observation of chimera and cluster states in a network of four globally coupled chaotic opto-electronic oscillators. This is the minimal network that can support chimera states, and our study provides new insight into the fundamental mechanisms underlying their formation. We use a unified approach to determine the stability of all the observed partially synchronous patterns, highlighting the close relationship between chimera and cluster states as belonging to the broader phenomenon of partial synchronization. Our approach is general in terms of network size and connectivity. We also find that chimera states often appear in regions of multistability between global, cluster, and desynchronized states.

Speed- and Endurance-Based Classifications of Community Ambulation Post-Stroke Revisited: The Importance of Location in Walking Performance Measurement.

BACKGROUND: Gait speed or 6-minute walk test are frequently used to project community ambulation abilities post-stroke by categorizing individuals as household ambulators, limited, or unlimited community ambulators. However, whether improved clinically-assessed gait outcomes truly translate into enhanced real-world community ambulation remains uncertain. OBJECTIVE: This cross-sectional study aimed to examine differences in home and community ambulation between established categories of speed- and endurance-based classification systems of community ambulation post-stroke and compare these with healthy controls. METHODS: Sixty stroke survivors and 18 healthy controls participated. Stroke survivors were categorized into low-speed, medium-speed, or high-speed groups based on speed-based classifications and into low-endurance, medium-endurance, or high-endurance groups based on the endurance-based classification. Home and community steps/day were quantified using Global Positioning System and accelerometer devices over 7 days. RESULTS: The low-speed groups exhibited fewer home and community steps/day than their medium- and high-speed counterparts (P < .05). The low-endurance group took fewer community steps/day than the high-endurance group (P < .05). Despite vast differences in clinical measures of gait speed and endurance, the medium-speed/endurance groups did not differ in their home and community steps/day from the high-speed/endurance groups, respectively. Stroke survivors took 48% fewer home steps/day and 77% fewer community steps/day than healthy controls. CONCLUSIONS: Clinical classification systems may only distinguish home ambulators from community ambulators, but not between levels of community ambulation, especially beyond certain thresholds of gait speed and endurance. Clinicians should use caution when predicting community ambulation status through clinical measures, due to the limited translation of these classification systems into the real world.

Evolutionary trends of carbapenem-resistant and susceptible Acinetobacter baumannii isolates in a major tertiary care setting from North India.

Emergence of carbapenem-resistant A. baumannii (CRAB) is a global, ongoing healthcare concern. CRAB is among the topmost priority pathogens, with various studies focusing on its global population structure and resistant allelic profiles. However, carbapenem-susceptible A. baumannii (CSAB) isolates are often overlooked due to their sensitivity to beta-lactams, which can provide important insights into origin of CRAB lineages and isolates. In the present study, we report genomic investigation of CRAB and CSAB coexisting in Indian hospital setting. MLST based population structure and phylogenomics suggest they mainly follow distinct evolutionary routes forming two phylogroups. PG-I exclusively for a successful clone (ST2) of CRAB and PG-II comprises diversified CSAB isolates except PG3373, which is CRAB. Additionally, there are few CRAB isolates not belonging to PG-I and sharing clonal relationship with CSAB isolates indicating role of genome plasticity towards extensive drug resistance in the nosocomial environment. Further, genealogical analysis depicts prominent role of recombination in emergence and evolution of a major CRAB lineage. Further, CRAB isolates are enriched in resistomes as compared to CSAB isolates, which were encoded on the genomic island. Such comparative genomic insights will aid in our understanding and localized management of rapidly evolving pandrug resistant nosocomial pathogens.