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Imputation is a method that supplies missing information about genetic variants that could not be directly genotyped with DNA microarrays or low-coverage sequencing. Imputation plays a critical role in genome-wide association studies (GWAS). It leads to a significant increase in the number of studied variants, which improves the resolution of the method and enhances the comparability of data obtained in different cohorts and/or by using different technologies, which is important for conducting meta-analyses. When performing imputation, genotype information from the study sample, in which only part of the genetic variants are known, is complemented using the standard (reference) sample, which has more complete genotype data (most often the results of whole-genome sequencing). Imputation has become an integral part of human genomic research due to the benefits it provides and the increasing availability of imputation tools and reference sample data. This review focuses on imputation in human genomic research. The first section of the review provides a description of technologies for obtaining information about human genotypes and characteristics of these types of data. The second section describes the imputation methodology, lists the stages of its implementation and the corresponding programs, provides a description of the most popular reference panels and methods for assessing the quality of imputation. The review concludes with examples of the use of imputation in genomic studies of samples from Russia. This review shows the importance of imputation, provides information on how to carry it out, and systematizes the results of its application using Russian samples.

Staphylococcus aureus CC239-MRSA-III is an ancient pandemic strain of hospital-associated, methicillin-resistant S. aureus that spread globally for decades and that still can be found in some parts of the world. In Kuwait, microarray-based surveillance identified from 2019 to 2022 a series of isolates of a hitherto unknown variant of this strain that carried a second set of recombinase genes, ccrA/B-2. To elucidate the structure of its SCCmec element, two isolates were subjected to nanopore sequencing. This revealed, in addition to ccrA/B-2, several SCC-associated genes including speG (spermidine N acetyltransferase) and a gene encoding a large "E-domain containing protein" (dubbed as edcP-SCC). This gene contained three regions consisting of multiple repeating units. In terms of sequence and structure it was similar but not identical to the biofilm-related aap gene from S. epidermidis. A review of published sequences identified edcP-SCC in eighteen genome sequences of S. aureus, S. epidermidis and S. capitis, and frequently it appears in a similar cluster of genes as in the strains sequenced herein. Isolates also carried a prophage with the adhesion factor sasX/sesI and aminoglycoside resistance genes. This is consistent with an affiliation to the "South-East Asian" Clade of CC239. The emergence of edcP-SCC and sasX-positive CC239 strain shows that, against a global trend towards community-associated MRSA, the ancient pandemic CC239 hospital strain still continues to evolve and to cause outbreaks. [ABSTRACT FROM AUTHOR]

Objectives: The objective of the present study was to examine the diversity of Staphylococcus aureus from mastitis milk samples of cows in Rwanda. Methods: A total of 1080 quarter milk samples from 279 dairy cows were collected in 80 different farms from all five provinces of Rwanda. In total, 135 S. aureus isolates were obtained and subjected to genotyping (spa typing, DNA microarray, whole-genome sequencing (WGS)), antimicrobial susceptibility testing (AST) and phenotypic profiling by Fourier Transform Infrared (FTIR) spectroscopy (including capsular serotyping). Results: Resistance to penicillin and/or tetracycline was most frequently observed. Ten sequence types (STs) (ST1, ST151, ST152, ST5477, ST700, ST7110, ST7983, ST7984, ST8320, ST97) belonging to seven clonal complexes (CCs) (CC1, CC130, CC152, CC3591, CC3666, CC705, CC97) were detected. The Panton–Valentine leukocidin (PVL) genes (lukF-PV/lukS-PV), the bovine leukocidin genes (lukM/lukF-P83) and the human and bovine toxic shock syndrome toxin gene tst-1 variants were detected. FTIR-based capsular serotyping showed CC-specific differences. Most CC97 (cap5 allele) isolates were primarily nonencapsulated (82%), whereas isolates of CC3591 and CC3666 (cap8 allele) were mostly encapsulated (86.4% and 57.8%, respectively). Our results underline the widespread global distribution of cattle-adapted CC97. Conclusion: The presence of CC3591 and CC3666 in bovine mastitis suggests an important role in cattle health and dairy production in Rwanda. The results of the present study support the need for a rigorous One-Health Surveillance program of the bovine–human interface.

Background and Objectives: Immunocompromised patients are a high-risk group for developing mycobacterial infections with either pulmonary and/or extrapulmonary diseases. Low-cost/density DNA-microarray is considered an easy and efficient method for the detection of typical and atypical mycobacterial species.Materials and Methods: Thirty immunocompromised patients were recruited to provide their clinical specimens (sputum, serum, urine, and lymph node aspirates). Real-time polymerase chain reaction (PCR) and DNA-microarray techniques were performed and compared to the conventional methods of Ziehl-Neelsen staining and Lowenstein Jensen culturing.Results: Mycobacterium tuberculosis complex was detected in all 30 clinical specimens (100% sensitivity) by real-time PCR and DNA-microarray. Additionally, coinfection with 4 atypical species belonging to nontuberculous mycobacteria was identified in 7 sputum specimens. These atypical mycobacterial species were identified as M. kansasii 10% (n = 3), M. avium complex 6.6% (n = 2), M. gordanae 3.3% (n = 1), and M. peregrinum 3.3% (n = 1).Conclusion: This study documents the presence of certain species of atypical mycobacteria among immunocompromised patients in Egypt. [ABSTRACT FROM AUTHOR]

Epstein—Barr virus (EBV) is one of the etiological agents causing infectious mononucleosis. A severe form of the disease can result in developing serious complications, which risk might also depend on the state of patient’s immune system. To date, no specific tests for assessing a risk of developing severe disease form are available. Our study was aimed at identifying molecular genetic markers of severe EBV-infectious mononucleosis (EBV-IM) in immunocompetent peripheral blood cells. Expression of 483 genes and gene transcripts regulating apoptosis, proliferation and differentiation of immunocompetent cells was measured in the peripheral blood leukocytes from patients with severe and moderate EBV-IM as well as apparently healthy donors. A DNA-microarray designed by us and subsequent data processing were carried out by using custom-made “MiDA” software. To identify markers of a severe form of the pathology, expression of each gene and transcript was compared in EBV-IM patients and apparently healthy donors. For each gene and transcript, the level of expression fold change and significance for binary classification were determined. Genes and transcripts, characterized by the maximum values of two determined parameters while comparing patients with severe infection and healthy donors, as well as patients with severe and moderate EBV-IM forms, were selected as markers of severe EBV-IM. Genes and transcripts with differed expression in patients with moderate EBV-IM and healthy donors, were excluded from the list of markers. In addition, sex- and age-linked markers with differed expression were excluded as well. The markers for severe EBV-IM consisted of apoptosis regulators (BCL2L11, BIRC3 genes and XIAP.NM_001167 transcript) and splicing factors (CELF6 gene and SF1.NM_201995 transcript). Compared with donors and patients with a moderate form of the disease, a decreased expression of BCL2L11, BIRC3 genes, transcripts SF1.NM_201995 and XIAP.NM_001167, as well as increased expression of the CELF6 gene were detected in the blood of patients with severe EBV-IM. The functional role of identified molecular markers suggests that severe EBV-IM is characterized by suppressed mitochondrial and activated TRAF-dependent apoptosis pathways in immunocompetent cells. The expression pattern for select markers is specific for severe EBV-MI, not associated with patient sex and age. Thus, study data may be used to develop specific tools for assessing a risk of developing complications of EBV mononucleosis.

Objective of the study is to design the DNA-microarray for differentiation of Y. pestis strains of the main and non-main subspecies and biovars of the main subspecies. Materials and methods. Efficiency analysis for the devised means was conducted using 62 Y. pestis strains of various subspecies and biovars, isolated in the natural foci of Russia and neighboring countries. Results and conclusions. Selected have been the DNA-targets, probes and primers – calculated. Enhanced is the method of sub-specific and biovar differentiation of Y. pestis strains by means of DNA-microarray. DNA-chip with “Med24”, “glpD(-93)”, and “45” targets allows for prompt differentiation of the strains of the main and non-main subspecies and biovars of the main subspecies based on the presence and absence of fluorescent signal by the specific for the main subspecies and its biovars DNA-targets.

Aims: This study was conducted to determine the occurrence of staphylococci from cows with subclinical mastitis from independent herds in Algeria, and to characterize Staphylococcus aureus isolates. Methods and Results: Quarter milk samples were collected separately, somatic cells were counted and samples with more than 200 000 somatic cells per ml were cultured on blood agar. Staphylococci isolates were identified by routine diagnostics, and S. aureus isolates were tested for antibiotic susceptibility by disk diffusion and microdilution. Congo red agar was used to detect biofilm formation and capsule synthesis was detected on serum soft agar (SSA). The S. aureus isolates were characterized by spa typing. DNA microarray analysis was performed to detect resistance and virulence genes. Overall, 40·0% (167/418) of the cows suffered from mastitis. In 63·5% (106/167) of the cows staphylococci were identified. Nine of the 106 Staphylococcus isolates (8·5%) were S. aureus. The coagulase‐negative staphylococci belonged to 14 species. All S. aureus isolates were multiresistant and biofilm forming, with 66·67% of them showing diffuse colonies on SSA and belonged to CC97‐agrI‐cap5. Biofilm genes (icaA/C/D), 13 genes encoding for adhesion, six genes encoding proteases, 11 genes encoding superantigen like toxins were found. Genes conferring resistance to tetracycline (tet(K)), penicillin (blaZ/I/R) and macrolide–lincosamide–streptogramin B (erm(B), erm(A)) were also detected in the S. aureus from this study. Conclusions: The current investigation provides a detailed molecular and biofilm formation ability of S. aureus involved in subclinical mastitis in Algeria and shows the wide distribution of adhesion and enterotoxin(‐like) genes among S. aureus responsible for causing subclinical bovine mastitis. Significance and Impact of the Study: These findings are valuable in tracking the evolution and genomic variation of S. aureus from bovine origin. [ABSTRACT FROM AUTHOR]

Gene selection (GS) is an important research area in the analysis of DNA-microarray data, since it involves gene discovery meaningful for a particular target annotation or able to discriminate expression profiles of samples coming from different populations. In this context, a wide number of filter methods have been proposed in the literature to identify subsets of relevant genes in accordance with prefixed targets. Despite the fact that there is a wide number of proposals, the complexity imposed by this problem (GS) remains a challenge. Hence, this paper proposes a novel approach for gene selection by using cluster techniques and filter methods on the found groupings to achieve informative gene subsets. As a result of applying our methodology to Colon cancer data, we have identified the best informative gene subset between several one subsets. According to the above, the reached results have proven the reliability of the approach given in this paper.

Abstract To understand the prevalence and characteristics of Staphylococci causing goat mastitis in Algeria, mastitis milk samples were collected and cultured on both blood agar and mannitol salt agar medium. Staphylococci isolates were identified by API-Staph gallery and tested for antibiotic susceptibility by disk diffusion method. DNA microarrays analysis was performed on S. aureus strains in order to detect virulence factors, including toxins, and to assign the isolates to theirs MLST clonal complexes. Overall, 86/266 (32.3%) goats suffered from mastitis, whose 32.5% (28/86) infected with Staphylococci. Most of strains were susceptible to many antibiotics, except for penicillin, tetracycline and fusidic acid, and the resistance incidence of which were 21.4%, 25%, and 10.7% respectively. Only twelve (42.8%) isolates were resistant to utmost two antibiotics and bi-drug resistance was associated to four Coagulase negative Staphylococci (CNS) strains. Nine different species were identified in CNS isolates while S. aureus strains were clustered within CC130- agr 3-[ lukF-P 83, lukM +] (four isolates; 50%), CC6- agr 1 (three isolates; 37.5%) and one agr 4 non-typables cluster. Enterotoxins genes were found in 62.5% of the S. aureus strains. Of which sec, sel were the most prevalent (62.5%: n = 5) followed by sea (12.5%: n = 1). CC130 showed edinB , tst and tetK (2/4) genes and CC6 were positive to cna and fosB genes. The current investigation provide the data for prevalence of Staphylococci in goats in Tizi-Ouzou region and S. aureus characterization which will help in tracking evolution of epidemic strains and their control methods. [ABSTRACT FROM AUTHOR]

Non-steroidal anti-inflammatory drugs (NSAIDs) represent a growing concern for marine ecosystems due to their ubiquitous occurrence and documented adverse effects on non-target organisms. Despite the remarkable efforts to elucidate bioaccumulation and ecotoxicological potential under short-term conditions, limited and fragmentary information is available for chronic exposures. In this study bioavailability, molecular and cellular effects of diclofenac (DIC), ibuprofen (IBU) and ketoprofen (KET) were investigated in mussels Mytilus galloprovincialis exposed to the realistic environmental concentration of 2.5 μg/L for up to 60 days. Results indicated a significant accumulation of DIC and IBU but without a clear time-dependent trend; on the other hand, KET concentrations were always below the detection limit. Analyses of a large panel of molecular, biochemical and cellular biomarkers highlighted that all investigated NSAIDs caused alterations of immunological parameters, genotoxic effects, modulation of lipid metabolism and changes in cellular turn-over. This study provided the evidence of long-term ecotoxicological potential of NSAIDs, further unraveling the possible hazard for wild marine organisms. [ABSTRACT FROM AUTHOR]

Gene selection (or feature selection) from DNA-microarray data can be focused on different techniques, which generally involve statistical tests, data mining and machine learning. In recent years there has been an increasing interest in using hybrid-technique sets to face the problem of meaningful gene selection; nevertheless, this issue remains a challenge. In an effort to address the situation, this paper proposes a novel hybrid framework based on data mining techniques and tuned to select gene subsets, which are meaningfully related to the target disease conducted in DNA-microarray experiments. For this purpose, the framework above deals with approaches such as statistical significance tests, cluster analysis, evolutionary computation, visual analytics and boundary points. The latter is the core technique of our proposal, allowing the framework to define two methods of gene selection. Another novelty of this work is the inclusion of the age of patients as an additional factor in our analysis, which can leading to gaining more insight into the disease. In fact, the results reached in this research have been very promising and have shown their biological validity. Hence, our proposal has resulted in a methodology that can be followed in the gene selection process from DNA-microarray data. [ABSTRACT FROM AUTHOR]

In 2013, an adult red squirrel ( Sciurus vulgaris) was found dead showing, during necropsy, acute diffuse catarrhal enteritis. Using a virus screening pipeline based on a pan-viral DNA microarray with downstream next-generation sequencing a novel squirrel-associated virus was identified with mastadenovirus-typical sequence elements. Phylogenetic analysis of hexon protein amino acid sequences demonstrated the highest similarity to Equine adenovirus (AdV) 2, but a strong divergence to a squirrel AdV from Korea and other rodent AdVs. Shorter hexon gene segment investigations confirmed a close relationship with other squirrel-derived AdVs from Europe. The novel virus species was tentatively designated as Squirrel Adenovirus-1. [ABSTRACT FROM AUTHOR]

Gene selection is a major research area in microarray analysis, which seeks to discover differentially expressed genes for a particular target annotation. Such genes also often called informative genes are able to differentiate tissue samples belonging to different classes of the studied disease. Despite the fact that there is a wide number of proposals, the complexity imposed by this problem remains a challenge today. This research proposes a gene selection approach by means of a clustering-based multi-agent system. This proposal manages different filter methods and gene clustering through coordinated agents to discover informative gene subsets. To assess the reliability of our approach, we have used four important and public gene expression datasets, two Lung cancer datasets, Colon and Leukemia cancer dataset. The achieved results have been validated through cluster validity measures, visual analytics, a classifier and compared with other gene selection methods, proving the reliability of our proposal. [ABSTRACT FROM AUTHOR]

The aim of the present investigation was to provide new insights on accumulation and possible adverse effects of various non-steroidal anti-inflammatory drugs (NSAIDs) in mussels, Mytilus galloprovincialis , exposed to an environmentally realistic concentration (0.5 μg/L) of individual compounds, Acetaminophen (AMP), Diclofenac (DIC), Ibuprofen (IBU), Ketoprofen (KET) or Nimesulide (NIM). The measurement of drugs in mussel tissues was integrated with both functional alterations at cellular level and transcriptomic responses. Results indicated the capability of mussels to accumulate DIC and NIM, while AMP, IBU and KET were always below detection limit. A large panel of ecotoxicological biomarkers revealed the early onset of alterations induced by tested NSAIDs on immunological responses, lipid metabolism and DNA integrity. The gene transcription analysis through DNA microarrays, supported cellular biomarker results, with clear modulation of a large number of genes involved in the arachidonic acid and lipid metabolism, immune responses, cell cycle and DNA repair. The overall results indicated an ecotoxicological concern for pharmaceuticals in M. galloprovincialis , with transcriptional responses appearing as sensitive exposure biomarkers at low levels of exposure: such changes, however, are not always paralleled by corresponding functional effects, suggesting caution when interpreting observed effects in terms of perturbed cellular pathways. Fascinating similarities can also be proposed in the mode of action of NSAIDs between bivalves and vertebrate species. [ABSTRACT FROM AUTHOR]

In this paper, a hybrid algorithm is presented based on five data filtering methods to make a first selection of genes of DNA- microarray. A genetic algorithm combined with a simulated annealing and a SVM-classifier, then a second selection and classification is performed from a genes subset, with the combination of these techniques, we seek a better classification rate obtained with a small genes subset and the results are compared with other methods reported in the literature. [ABSTRACT FROM PUBLISHER]

The increasing incidence of invasive fungal diseases ( IFD), most of all invasive aspergillosis ( IA) in immunocompromised patients emphasises the need to improve the diagnostic tools for detection of fungal pathogens. We investigated the diagnostic performance of a multifungal DNA-microarray detecting 15 different fungi [ Aspergillus, Candida, Fusarium, Mucor, Rhizopus, Scedosporium and Trichosporon species (spp.)] in addition to an Aspergillus specific polymerase chain reaction ( PCR) assay. Biopsies, bronchoalveolar lavage and peripheral blood samples of 133 immunocompromised patients (pts) were investigated by a multifungal DNA-microarray as well as a nested Aspergillus specific PCR assay. Patients had proven ( n = 18), probable ( n = 29), possible ( n = 48) and no IFD ( n = 38) and were mostly under antifungal therapy at the time of sampling. The results were compared to culture, histopathology, imaging and serology, respectively. For the non- Aspergillus IFD the microarray analysis yielded in all samples a sensitivity of 64% and a specificity of 80%. Best results for the detection of all IFD were achieved by combining DNA-microarray and Aspergillus specific PCR in biopsy samples (sensitivity 79%; specificity 71%). The molecular assays in combination identify genomic DNA of fungal pathogens and may improve identification of causative pathogens of IFD and help overcoming the diagnostic uncertainty of culture and/or histopathology findings, even during antifungal therapy. [ABSTRACT FROM AUTHOR]

Background: Clostridium difficile can cause antibiotic-associated diarrhea and a possibility of outbreaks in hospital settings warrants molecular typing. A microarray was designed that included toxin genes (tcdA/B, cdtA/B), genes related to antimicrobial resistance, the slpA gene and additional variable genes. Results: DNA of six reference strains and 234 clinical isolates from South-Western and Eastern Germany was subjected to linear amplification and labeling with dUTP-linked biotin. Amplicons were hybridized to microarrays providing information on the presence of target genes and on their alleles. Tested isolates were assigned to 37 distinct profiles that clustered mainly according to MLST-defined clades. Three additional profiles were predicted from published genome sequences, although they were not found experimentally. Conclusions: The microarray based assay allows rapid and high-throughput genotyping of clinical C. difficile isolates including toxin gene detection and strain assignment. Overall hybridization profiles correlated with MLST-derived clades. [ABSTRACT FROM AUTHOR]

Voltage-dependent sodium channels are membrane proteins essential for cell excitability. They are composed by a pore-forming α-subunit, encoded in mammals by up to nine different genes, and four different ancillary β-subunits. The expression pattern of the α subunit isoforms confers the distinctive functional and pharmacological properties to different excitable tissues. β-Subunits are important modulators of channel function and expression. Mutation C121W of the β1-subunit causes an autosomal dominant epileptic syndrome without cardiac symptoms. In neuroectoderm GH3 and cardiac H9C2 cells, the over-expression of β1 subunit augments α subunit mRNA and protein levels as well as sodium current density. Interestingly, the introduction of the epileptogenic C121W-β1 subunit produces additional changes in the α-subunit expression pattern of H9C2 cells, leaving unaltered the sodium channel isoform composition of GH3 cells. The challenge of the present work was to identify those genes that were differentially expressed in response to WT- or C121W-β1 subunit over-expression in the two rat cell lines under analysis. Hence, we analyzed the total mRNA extracted from control-untransfected and from WT- and C121W-β1-transfected GH3 and H9C2 cells by DNA-microarray. We found that, in agreement with their different embryonal origin, the over-expression of WT- and C121W-β1 subunits modifies the expression of different gene sets in GH3 and H9C2 cells. Focusing on the effects of the C121W mutation, we found that it causes the modification of 214 genes, most of them were down-regulated (202) in GH3 cells; on the contrary, it determined the up-regulation of only five genes in H9C2 cells. Interestingly, most genes modified by the C121W β1 subunit are involved in pivotal processes of the cell such as cellular communication and protein expression. Our results confirm the important role of the sodium channel β1 subunit in the control of NaCh gene expression, and highlight once more the tissue-specific effect of the C121W mutation. [ABSTRACT FROM AUTHOR]

Death receptors (DRs) and the participants of DR-mediated signaling are characterized by a large number of mRNA isoforms generated by alternative splicing. Due to their high labor intensity and high cost, conventional methods (RT-PCR and RT-PCR in real time) are ineffective when the simultaneous detection of a plurality of mRNA isoforms is needed. In this regard, the use of DNA biochips is has prospective applications in analyzing the expression of many genes simultaneously. In this paper, we suggest an optimal strategy of probes selection aimed at detecting the maximum number of mRNA splice variants generated by major participants of DR-signaling. The objects of the study were 185 genes that form 1134 mRNA isoforms. As a result, a biochip design was developed that enables the detection of 499 mRNA isoforms (44% of total mRNA splice variants). The proposed strategy combines a high degree of modularity, the use of modern high-performance computers, and broad opportunities for setting up the selection criteria in accordance with the objectives of the study. [ABSTRACT FROM AUTHOR]

In the present work, an integrated analysis was performed on DNA-microarray data of bovine muscle samples belonging to controls, animals treated with various growth promoters (GPs) and unknown commercial samples. The aim was identify a robust gene expression signature of corticosteroid treatment for the classification of commercial samples, despite the effects of biological variation and other confounding factors. DNA-Microarray data from 5 different batches of bovine skeletal muscle samples were analyzed (146 samples). After preprocessing, expression data from animals treated with corticosteroids and controls from the different batches (89 samples) were used to train a Support Vector Machines (SVMs) classifier. The optimal number of gene probes chosen by our classification framework was 73. The SVMs with linear kernel built on these 73 biomarker genes was predicted to perform on novel samples with a high classification accuracy (Matthew's correlation coefficient equal to 0.77) and an average percentage of false positive and false negative equal to 5% and 6%, respectively. Concluding, a relatively small set of genes was able to discriminate between controls and corticosteroid-treated animals, despite different breeds, animal ages, and combination of GPs. The results are extremely promising, suggesting that integrated analysis provides robust transcriptomic signatures for GP abuse. [ABSTRACT FROM AUTHOR]

• Innovative miniaturized silicon microarray for t MC1R Single Nucleotide Polymorphisms identification. • Straightforward Discrimination Factor allowing detection of an SNP in an unknown genotype with a >99 % confidence level. • High sensitivity with discrimination factors above 0.4 for all variants investigated rs1805005, rs1805006 and rs885479. • Biosensing strategy suitable for genetic assay in portable format for molecular detection of MC1R gene. The melanocortin 1 receptor (MC1R) gene plays a key role in the control of melanin formation. Polymorphism in the MC1R gene have been associated with Cutaneous melanoma risk and therefore molecular investigation is essential to prevent the pathology and to reduce melanoma mortality. In the current study, we investigated single nucleotide polymorphism for the MC1R target gene using a miniaturized silicon-based microarray-chip. The microarray substrates were properly designed with a multilayer component (Si/Al/SiO 2) to enhance the hybridization optical signal by Al layer acting as a mirror while the SiO 2 thickness was optimized for light constructive interference. The microarray probe density was found to be 1.900 ± 200 molecules μm−2. The genotyping experiments performed at different wild type and mutated target amount have shown good sensitivity with discrimination factor >4 for all investigated variants namely rs1805005 V60 L (252 C→T), rs1805006 D84E (425 G→A) and rs885479 R163Q (451 C→T). The obtained Discrimination Factor (DF) values highlights that the assay would allow detection of SNP in an unknown genotype with a >99 % confidence level. Results pave the way for future development of genetic assay in portable format for molecular detection of MC1R gene. [ABSTRACT FROM AUTHOR]

• We described the resistance and virulence traits of S. aureus isolates from bovine mastitis samples. • A genotypic characterization was conducted using DNA-microarray and spa typing. • Six different clonal lineages including seven spa types were identified. • CC97-MSSA (t267) was observed for the first time in Egypt in cattle with mastitis. • The majority of S. aureus isolates presented a worrying antimicrobial resistance pattern. Methicillin resistant S. aureus from cows with mastitis has received a growing interest worldwide. The present study aimed to provide a detailed description of the resistance and virulence traits of isolates from bovine mastitis samples. A total of 550 quarter milk samples were collected from 140 mastitic household dairy cows and buffalo from five herds at Dakahlia Governorate, Egypt, during 2017 and 2018. Staphylococcus spp. were isolated and differentiated using MALDI-TOF MS. A genotypic characterization was performed for S. aureus isolates using DNA-microarray and staphylococcal protein A (spa) typing. Furthermore, antibiotic resistances were phenotypically confirmed using broth microdilution. Six different clonal lineages (CC1-MRSA, CC5-MRSA, CC45-MRSA, CC97-MSSA, CC50-MSSA and CC1153-MSSA), including seven spa types (t127, t688, t132, t267, t521, t224 and t903) were identified. Spa type t267 was the most dominant among the investigated herds. This is the first report of the occurrence of clonal lineages CC97, CC1, CC45, CC50 and CC1153 from bovine mastitis in Egypt. All MRSA isolates and 33.3 % of MSSA were multi-resistant (i.e. resistant to more than three classes of compounds). Various virulence determinants were also observed including leukocidins, hemolysins, and enterotoxins. The study demonstrates a low diversity of S. aureus isolates recovered from several dairy herds. The findings of the observed virulotypes can be useful for future studies on anti-virulence therapies, immunogenicity and vaccine development. [ABSTRACT FROM AUTHOR]