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PubMed2005

A new approach to exponential stability analysis of neural networks with time-varying delays.

This paper considers the problem of exponential stability analysis of neural networks with time-varying delays. The activation functions are assumed to be globally Lipschitz continuous. A linear matrix inequality (LMI) approach is developed to derive sufficient conditions ensuring the delayed neural network to have a unique equilibrium point, which is globally exponentially stable. The proposed LMI conditions can be checked easily by recently developed algorithms solving LMIs. Examples are provided to demonstrate the reduced conservativeness of the proposed results.

Algorithms↗

PubMedDate not supplied

The effects of postnatal lead exposure on Purkinje cell dendritic development in the rat.

Rat pups, suckled by mothers maintained after parturition on a diet containing 4% lead acetate, were killed at 30 days and their cerebella examined. The blood lead was greatly increased in these animals (258.20 +/- 6.72 micrograms/100 ml) as compared with controls (4.75 +/- 0.75 micrograms/100 ml) and their mean body weight was reduced by 28%. Cerebellar weight, however, remained unchanged. Histologically the vermis showed vacuolation of the white matter and an increase in the size of Purkinje cell bodies. The total number of Purkinje and granule cells and their densities were unchanged except in animals with encephalopathy when these parameters were reduced. Network analysis of the dendritic trees of Purkinje cells indicated a 34.8% reduction in total dendritic length, due to reduction in total segment number and in the length of distal segments. Dendritic density and the frequency of trichotomous branching were unchanged by the experimental treatment. The density of dendritic spines over the periphery of the network was normal. The topology of the dendritic trees of Purkinje cells was abnormal in that branching patterns deviated from the normal pattern generated by random terminal growth. These results suggest that lead causes changes in Purkinje cell metabolism which reduce the rate of dendritic growth and cause abnormal branching. It remains to be determined whether these are direct effects or secondary to the vascular changes known to occur in the cerebellum during lead intoxication.

Animals↗

PubMed2006

Modeling cellular machinery through biological network comparison.

Molecular networks represent the backbone of molecular activity within the cell. Recent studies have taken a comparative approach toward interpreting these networks, contrasting networks of different species and molecular types, and under varying conditions. In this review, we survey the field of comparative biological network analysis and describe its applications to elucidate cellular machinery and to predict protein function and interaction. We highlight the open problems in the field as well as propose some initial mathematical formulations for addressing them. Many of the methodological and conceptual advances that were important for sequence comparison will likely also be important at the network level, including improved search algorithms, techniques for multiple alignment, evolutionary models for similarity scoring and better integration with public databases.

Algorithms↗

PubMed2003

Physical and mechanical properties of cement-based products containing incineration bottom ash.

This paper presents the results of a wider experimental programme conducted in the framework of the NNAPICS ("Neural Network Analysis for Prediction of Interactions in Cement/Waste Systems") project funded by the European Commission and a number of industrial partners under Brite-EuRamIII. Based on the fact that bottom ashes from waste incineration are classified as non-hazardous wastes according to the European Waste Catalogue, the aim of the present work was to investigate the feasibility of addressing the potential use of such residues in cement-based mixtures. This issue was suggested by the analysis of the properties of different bottom ashes coming from Italian municipal and hospital solid waste incinerators, which showed a chemical composition potentially suitable for such applications. Different mixes were prepared by blending bottom ash with ordinary Portland cement in different proportions and at different water dosages. The solidified products were tested for setting time and bulk density, unconfined compressive strength and evaporable water content at different curing times. The results of the experimental campaign were analysed through a statistical procedure (analysis of variance), in order to investigate the effect of mixture composition (waste replacement level and water dosage) on the product properties.

Construction Materials↗

PubMed1976

A filamentous cytoskeleton in vertebrate smooth muscle fibers.

There are three classes of myofilaments in vertebrate smooth muscle fibers. The thin filaments correspond to actin and the thick filaments are identified with myosin. The third class of myofilaments (100 A diam) is distinguished from both the actin and the myosin on the basis of fine structure, solubility, and pattern of localization in the muscle fibers. Direct structural evidence is presented to show that the 100A filament constitute an integrated filamentous network with the dense bodies in the sarcoplasm, and that they are not connected to either the actin or myosin filaments. Examination of (a) isolated dense bodies, (b) series of consecutive sections through the dense bodies, and (c) redistributed dense bodies in stretched muscle fibers supports this conclusion. It follows that the 100-A filaments complexes constitute a structrally distinct filamentous network. Analysis of polyacrylamide gels after electrophoresis of cell fractions that are enriched with respect to the 100-A filaments shows the presence of a new muscle protein with a molecular weight of 55,000. This protein can form filamentous segments that closely resemble in structure the native, isolated 100-A filaments. The results indicate that the filamentous network has a structure and composition that distinguish it from the actin and myosin in vertebrate smooth muscle.

Actins↗

PubMed2006

Breastfeeding support for adolescent mothers: similarities and differences in the approach of midwives and qualified breastfeeding supporters.

BACKGROUND: The protection, promotion and support of breastfeeding are now major public health priorities. It is well established that skilled support, voluntary or professional, proactively offered to women who want to breastfeed, can increase the initiation and/or duration of breastfeeding. Low levels of breastfeeding uptake and continuation amongst adolescent mothers in industrialised countries suggest that this is a group that is in particular need of breastfeeding support. Using qualitative methods, the present study aimed to investigate the similarities and differences in the approaches of midwives and qualified breastfeeding supporters (the Breastfeeding Network (BfN)) in supporting breastfeeding adolescent mothers. METHODS: The study was conducted in the North West of England between September 2001 and October 2002. The supportive approaches of 12 midwives and 12 BfN supporters were evaluated using vignettes, short descriptions of an event designed to obtain specific information from participants about their knowledge, perceptions and attitudes to a particular situation. Responses to vignettes were analysed using thematic networks analysis, involving the extraction of basic themes by analysing each script line by line. The basic themes were then grouped to form organising themes and finally central global themes. Discussion and consensus was reached related to the systematic development of the three levels of theme. RESULTS: Five components of support were identified: emotional, esteem, instrumental, informational and network support. Whilst the supportive approaches of both groups incorporated elements of each of the five components of support, BfN supporters placed greater emphasis upon providing emotional and esteem support and highlighted the need to elicit the mothers' existing knowledge, checking understanding through use of open questions and utilising more tentative language. Midwives were more directive and gave more examples of closed questions. These differences could reflect the considerable emphasis upon person-centred approaches within the BfN curriculum and, in the case of midwives, the bureaucratic and institutional constraints upon them making it difficult, if not impossible, to take time and touch base with women. CONCLUSION: Follow up ethnographic work is required to assess the differences in the supportive approaches of BfN supporters and midwives in the practice areas. Such research, which specifically focuses upon how the different approaches are received and experienced by parents, is required before meaningful policy and practice recommendations can be made.

Journal Article↗

PubMed2026

Isoquinoline alkaloids enhance growth performance through multifaceted modulation of the bacterial-fungal microbiome, CAZyme profiles, gut health, and neuroendocrine function in broilers.

The bacterial-fungal microbiome and its carbohydrate-active enzyme (CAZyme) capacity play critical roles in regulating gut health and growth performance in broiler chickens. This study evaluated the effects of dietary isoquinoline alkaloids (IQ) on growth performance, gut microbiome composition, CAZyme profiles, and the microbiome-gut-neuroendocrine axis in broilers. A total of 400 Ross 308 (1-day-old) chicks were randomly assigned to either a Basal diet (CON) or IQ supplemented diet (IQ). Dietary IQ supplementation significantly increased final body weight and cumulative body weight gain (P < 0.0001) and improved feed conversion ratio (P < 0.05). Intestinal permeability was reduced (lower FITC-dextran; P < 0.05), accompanied by increased serotonin and serotonin-to-corticosterone ratio and decreased corticosterone (P < 0.05). Expression of inflammatory genes (TNF-α, NF-κB, IL-4, and TLR-1) was downregulated (P < 0.05). Microbiome analysis showed increased α-diversity (P < 0.05) and clear β-diversity separation (PERMANOVA, P < 0.001), with enrichment of beneficial bacteria (Akkermansia muciniphila, Lactobacillus salivarius, Turicibacter sanguinis, Bacillus subtilis) and suppression of fungal taxa (Aspergillus, Penicillium). CAZyme-related pathways involved in lignin and carbohydrate degradation were increased (P < 0.05). Microbial diversity was negatively correlated with inflammation and gut permeability, whereas network analysis identified 164 significant associations (|ρ| ≥ 0.50), revealing strong negative correlations between beneficial bacteria and inflammatory markers (ρ = -0.65 to -0.78) and positive associations for fungal taxa (ρ = 0.62-0.81). Serotonin was positively associated with microbial diversity (ρ = 0.63-0.70). In conclusion, IQ supplementation promotes a bacteria-dominant and metabolically active microbiome, reduces inflammation and intestinal permeability, and improves neuroendocrine balance, collectively enhancing gut health and growth performance in broiler chickens.

Bacteriome↗

PubMed2003

Prediction of traumatic wound infection with a neural network-derived decision model.

The objective of this study was to develop and validate a decision model, using an artificial neural network, that predicts infection in uncomplicated, traumatic, sutured wounds. The study was a prospective, cohort study of all patients presenting to the emergency department of a county teaching hospital with uncomplicated wounds that required suturing. In evaluating and treating wounds, emergency medicine (EM) faculty and residents, resident physicians in primary-care specialties, and supervised medical students on EM clerkships followed a standardized wound-management protocol. Clinicians estimated the likelihood of subsequent infection using a 5-point scale. Wound healing was followed until sutures were removed. Wound outcome data were collected by medical personnel blinded to the initial prediction. Student's t-tests and Pearson's chi-square statistic were used to identify independent predictors that served as input variables. Wound infection was the single output variable. Neural network analysis was used to assign weights to input variables and derive a decision equation. A total of 1,142 wounds were analyzed in the study. The overall infection rate was 7.2%. The most predictive factors for wound infection were wound location, wound age, depth, configuration, contamination, and patient age. To derive a decision equation for the model, the network was trained on data from half of the subjects and tested on the remainder. When used as a diagnostic test for wound infection, the decision model had a sensitivity of 70%, as compared to 54% for physicians, and a specificity of 76%, as compared to 78% for physicians. We conclude that through the use of combinations of 7 clinical variables available at the time of initial wound management, a neural network-derived decision model may be used to identify uncomplicated, traumatic wounds at higher risk for infection.

Adolescent↗

PubMed2026

The prognostic value and molecular mechanisms of Porphyromonas gingivalis infection-associated differentially expressed genes in oral squamous cell carcinoma.

BACKGROUND: Increasing evidence suggests that Porphyromonas gingivalis (Pg) is associated with oral squamous cell carcinoma (OSCC) development and progression. This study aimed to identify Pg-associated genes with prognostic relevance in OSCC through integrated bioinformatics analysis. METHODS: OSCC-related differentially expressed genes (DEGs) were identified from the The Cancer Genome Atlas (TCGA)-OSCC cohort and intersected with Pg supernatant-associated DEGs from GSE192887. Raw count data were analyzed with DESeq2, whereas transcripts per million (TPM)-transformed expression values were used for downstream visualization and model construction. Weighted gene co-expression network analysis (WGCNA), univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression, and multivariable Cox modeling were used to develop a seven-gene prognostic signature, which was externally evaluated in GSE41613. Additional analyses examined treatment-associated expression changes in the seven model genes, pairwise correlations among the model genes, and correlations between Pg supernatant-associated differentially expressed gene (PgSDEG)-derived module eigengenes and immune-cell fractions. Quantitative reverse-transcription polymerase chain reaction (qRT-PCR) was performed in eight paired OSCC and adjacent non-tumor tissues and in supplemented-brain heart infusion (BHI) vehicle-control and Pg culture-supernatant-treated HOK, HSC-3, and CAL-27 cells. RESULTS: A prognostic signature comprising CXCL8, GAST, HBQ1, PADI3, STC1, TEX19, and TMEM92 was established. The signature showed limited-to-moderate discrimination in the TCGA training cohort, with 1-, 3-, and 5-year areas under the curve (AUCs) of 0.68, 0.69, and 0.69, respectively, and limited discrimination in the GSE41613 external cohort (AUCs: 0.66, 0.67, and 0.61). Kaplan-Meier analysis showed poorer survival in the high-risk group in both cohorts. The GSE192887 analysis showed significant treatment-associated expression changes in all seven genes after Pg culture-supernatant exposure. In paired tissues, CXCL8 and TMEM92 were significantly higher in OSCC tissues, whereas STC1 was not significant after Holm correction. In CAL-27 cells, CXCL8, STC1, and TMEM92 increased significantly after culture-supernatant treatment, whereas the corresponding comparisons were not significant in HOK or HSC-3 cells after adjustment. CONCLUSIONS: This study developed a seven-gene Pg-associated prognostic signature for OSCC and provided complementary transcriptomic, immune-correlation, tissue, and cell-based evidence that placed the signature in biological context. The model showed limited-to-moderate discrimination and is not ready for clinical use. The enrichment, gene-correlation, and immune-correlation findings are hypothesis-generating rather than mechanistic evidence. Further independent validation and dedicated functional studies are required.

Oral squamous cell carcinoma (OSCC)↗

PubMed2026

Bioinformatics Analysis and Experimental Validation of Key Genes Associated With Hypoxia and Ischemia in Myocardial Infarction.

BACKGROUND: This study aimed to screen and identify core hypoxia-ischemia-related genes associated with myocardial infarction (MI). METHOD: Two transcriptomic datasets, GSE97320 and GSE48060, were retrieved from the Gene Expression Omnibus (GEO) database. After data integration and batch effect elimination, differential expression analysis was performed to screen differentially expressed genes (DEGs), and the corresponding visualization analysis was conducted. Hypoxia-ischemia-related genes were acquired from the GeneCards database; hypoxia-ischemia related genes (HIRGs) were subsequently identified by intersecting the retrieved genes with screened DEGs. Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were implemented to explore the biological functions and underlying signaling pathways of HIRGs. A combination of protein-protein interaction (PPI) network analysis and random forest (RF) algorithm was applied to screen hub genes from HIRGs. The external GEO dataset GSE66360 was utilized to validate the expression patterns of candidate hub genes. Furthermore, an acute myocardial infarction (AMI) mouse model was established, and quantitative real-time polymerase chain reaction (qPCR) was performed to detect the mRNA expression levels of hub genes in myocardial tissues for in vivo validation. RESULTS: A total of 633 DEGs and 308 hypoxia-ischemia-related genes were screened in the present study, among which 21 overlapping HIRGs were obtained. PLAUR and IL1B were finally identified as two hub genes from HIRGs based on PPI network and random forest algorithm. The qPCR results revealed that the expression levels of PLAUR and IL1B were significantly upregulated in the AMI group compared with the sham operation group (p < 0.05). CONCLUSION: The present findings demonstrated that PLAUR and IL1B serve as pivotal genes involved in the pathological hypoxia-ischemia process of AMI. These two genes may act as novel biomarkers and promising therapeutic targets for the recognition and clinical intervention of hypoxia-ischemia injury following AMI.

Myocardial Infarction↗

PubMedDate not supplied

Automated diagnosis of heart disease in patients with heart murmurs: application of a neural network technique.

This study was conducted to test a three-layered artificial neural network analysis of phonocardiogram recordings to diagnose, automatically and objectively, the condition of the heart in patients with heart murmurs. The data were recorded simultaneously in each of 49 patients with a heart murmur through eight microphones attached to the skin surface with adhesive tape, and were analysed by computer. The diagnosis was automated using a three-layered neural network technique. The neural network generated correct answers in over 70% of cases. Furthermore, about 80% of cases of two concurrent diseases were identified correctly. However, ventricular septal defects were incorrectly classified as aortic stenosis or aortic regurgitation, and patent ductus arteriosus was not diagnosed correctly. Accurate diagnoses can frequently be obtained using a neural network, but accuracy can be improved with further data accumulation.

Artificial Intelligence↗

PubMed1988

[The social network--on a sociologic concept in psychiatry].

For quite some time has been a boom of social network analysis in the field of social psychiatry in Western industrial countries. Their main hypothesis is that the scope and quality of a person's social relations have a specific connection with this person's psychic health. This article exemplifies some specialized studies on the subject. In spite of the fact that the way in which the concept of social networks was applied has been criticized for being empiristic and reductionist, the author stresses its potential for socio-psychiatric research and practice and pleads for its application in the G.D.R.

Adaptation, Psychological↗

PubMed2006

Network modulation in the treatment of Parkinson's disease.

It has been proposed that deep brain stimulation (DBS) of the subthalamic nucleus (STN DBS) and dopaminergic therapy ameliorate the symptoms of Parkinson's disease through similar functional mechanisms. We examined this notion using PET to compare the metabolic effects of these treatment approaches. Nine Parkinson's disease patients (age 61.7 +/- 11.1 years) were scanned ON and OFF STN stimulation and nine others (age 60.0 +/- 9.3 years) were scanned ON and OFF an individual titrated intravenous levodopa infusion. The two treatment groups were matched for baseline disease severity as well as clinical response to therapy. Similarities and differences in the effects of treatment on regional metabolism were assessed using statistical parametric mapping (SPM). In addition, we used network analysis to assess the effect of therapy on the expression of an abnormal Parkinson's disease-related spatial covariance pattern (PDRP). We found that both STN DBS and levodopa therapy were associated with significant (P < 0.001) metabolic reductions in the putamen/globus pallidus, sensorimotor cortex and cerebellar vermis, as well as increases in the precuneus (BA 7). The metabolic effects of the two interventions differed in the STN and medial prefrontal cortex, with relative increases with stimulation in the former structure and decreases in the latter. Network quantification disclosed reductions in PDRP activity with both interventions, which correlated with clinical improvement (P < 0.05). The degree of network modulation by therapy did not differ significantly for the two treatment approaches (P > 0.6). These findings support the results of previous imaging studies indicating that effective symptomatic therapies for Parkinson's disease involve a common mechanism. The modulation of pathological brain networks is a critical feature of the treatment response in parkinsonism.

Adult↗

PubMed2021

Genetic variants related to successful migraine prophylaxis with verapamil.

BACKGROUND: Currently, there is no biologically based rationale for drug selection in migraine prophylactic treatment. METHODS: To investigate the genetic variation underlying treatment response to verapamil prophylaxis, we selected 225 patients from a longitudinally established, deeply phenotyped migraine database (N = 5983), and collected uninterrupted quantitated verapamil treatment response data and DNA for these 225 cases. We recorded the number of headache days in the four weeks preceding treatment with verapamil and for four weeks, following completion of a treatment period with verapamil lasting at least five weeks. Whole-exome sequencing (WES) was applied to a discovery cohort consisting of 21 definitive responders and 14 definitive non-responders, and the identified single nucleotide polymorphisms (SNPs) showing significant association were genotyped in a separate confirmation cohort (185 verapamil treated patients). Statistical analysis of the WES data from the discovery cohort identified 524 SNPs associated with verapamil responsiveness (p < 0.01); among them, 39 SNPs were validated in the confirmatory cohort (n = 185) which included the full range of response to verapamil from highly responsive to not responsive. RESULTS: Fourteen SNPs were confirmed by both percentage and arithmetic statistical approaches. Pathway and protein network analysis implicated myo-inositol biosynthetic and phospholipase-C second messenger pathways in verapamil responsiveness, emphasizing the earlier pathogenic understanding of migraine. No association was found between genetic variation in verapamil metabolic enzymes and treatment response. CONCLUSION: Our findings demonstrate that genetic analysis in well-characterized subpopulations can yield important pharmacogenetic information pertaining to the mechanism of anti-migraine prophylactic medications.

Chemoprevention↗

PubMed2007

Factors and the sociosexual network associated with a syphilis outbreak in rural North Carolina.

OBJECTIVE: An investigation was conducted to determine factors associated with a syphilis outbreak in a rural North Carolina county. STUDY DESIGN: A retrospective chart review was performed on 61 primary (PS), secondary (SS), and early latent (ELS) syphilis case patients reported in Columbus County between January 2001 and February 2002. Sociosexual network analysis was conducted using electronic contact tracing information. RESULTS: We identified 20 PS, 25 SS, and 16 ELS case patients who were predominantly black. Seventy-two percent had reported >or=1 sexual partner with early syphilis, 51% used crack cocaine and/or had sex with a crack-using partner, and 31% exchanged sex for drugs or money. The sexual network exhibited predominantly linear connections between case patients and sexual partners. Adding social connections to the network further demonstrated dense cyclic interactions characteristic of core groups. CONCLUSIONS: The syphilis outbreak in this rural community was associated with crack cocaine and exchange of sex for drugs in a densely interconnected sociosexual network.

Adolescent↗

PubMed2005

Single nucleotide polymorphisms and haplotypes of CYP1A2 in a Japanese population.

In order to identify genetic polymorphisms and haplotype frequencies of CYP1A2 in a Japanese population, the enhancer and promoter regions, all the exons with their surrounding introns, and intron 1 were sequenced from genomic DNA from 250 Japanese subjects. Thirty-three polymorphisms were found, including 13 novel ones: 2 in the enhancer region, 5 in the exons, and 6 in the introns. The most common single nucleotide polymorphism (SNP) was -163C>A (CYP1A2*1F allele) with a 0.628 frequency. In addition to six previously reported non-synonymous SNPs, three novel ones, 125C>G (P42R, CYP1A2*15 allele, MPJ6_1A2032), 1130G>A (R377Q, *16 allele, MPJ6_1A2033), and 1367G>A (R456H, *8 allele, MPJ6_1A2019), were found with frequencies of 0.002, 0.002, and 0.004, respectively. No polymorphism was found in the known nuclear transcriptional factor-binding sites in the enhancer region. Based on linkage disequilibrium analysis, the CYP1A2 gene was analyzed as one haplotype block. Using the 33 detected polymorphisms, 14 haplotypes were unambiguously identified, and 17 haplotypes were inferred by aid of an expectation-maximization-based program. Among them, the second major haplotype CYP1A2*1L is composed of -3860G>A (*1C allele), -2467delT (*1D allele), and -163C>A (*1F allele). Network analysis suggested that relatively rare haplotypes were derived from three major haplotypes, *1A, *1M, and *1N in most cases. Our findings provide fundamental and useful information for genotyping CYP1A2 in the Japanese, and probably Asian populations.

Adrenergic beta-Antagonists↗

PubMed2000

Different brain networks mediate task performance in normal aging and AD: defining compensation.

OBJECTIVE: To determine whether the pathologic mechanisms of AD alter the brain networks subserving performance of a verbal recognition task. BACKGROUND: Functional imaging studies comparing task-related activation in AD patients and controls generally have not used network analysis and have not controlled for task difficulty. METHODS: H2 15O PET was used to measure regional cerebral blood flow in 14 patients and 11 healthy elders during the performance of a serial verbal recognition task under two conditions: low demand, with study list size (SLS) equal to one; and titrated demand, with SLS adjusted so that each subject recognized words at 75% accuracy. The Scaled Subprofile Model was used to identify networks of regionally covarying activity across these task conditions. RESULTS: In the elders, higher SLS was associated with the recruitment of a network of brain areas involving left anterior cingulate and anterior insula (R2 = 0.94; p < 0.0001). Three patients also expressed this network. In the remaining patients, higher SLS was associated with the recruitment of an alternate network consisting of left posterior temporal cortex, calcarine cortex, posterior cingulate, and the vermis (R2 = 0.81, p < 0.001). Expression of this network was unrelated to SLS in the elders and more intact AD patients. CONCLUSIONS: The patients' use of the alternate network may indicate compensation for processing deficits. The transition from the normal to the alternate network may indicate a point where brain disease has irreversibly altered brain function and thus may have important implications for therapeutic intervention.

Aged↗

PubMed2005

Genetic structure and history of populations of the deep-sea fish Helicolenus dactylopterus (Delaroche, 1809) inferred from mtDNA sequence analysis.

Helicolenus dactylopterus is an Atlantic benthopelagic fish species inhabiting high-energy habitats on continental slopes, seamounts and islands. Partial sequences of the mitochondrial control region (D-loop) and cytochrome b (cyt b) were used to test the hypothesis that H. dactylopterus disperses between continental margin, island and seamount habitats on intraregional, regional and oceanic scales in the North Atlantic. Individuals were collected from five different geographical areas: Azores, Madeira, Portugal (Peniche), Cape Verde and the northwest Atlantic. D-loop (415 bp) and cyt b (423 bp) regions were partially sequenced for 208 and 212 individuals, respectively. Analysis of variation among mitochondrial DNA sequences based on pairwise F-statistics and AMOVA demonstrated marked genetic differentiation between populations in different geographical regions specifically the Mid-Atlantic Ridge (Azores)/northeast Atlantic (Portugal, Madeira) compared to populations around the Cape Verde Islands and in the northwest Atlantic. Some evidence of intraregional genetic differentiation between populations was found. Minimum-spanning network analysis revealed star-shaped patterns suggesting that populations had undergone expansion following bottlenecks and/or they have been colonized by jump dispersal events across large geographical distances along pathways of major ocean currents. Mismatch distribution analysis indicated that Azores and northwest Atlantic populations fitted a model of historical population expansion following a bottleneck/founder event estimated to be between 0.64 and 1.2 million years ago (Ma).

Analysis of Variance↗