Identification, Molecular Detection and Antibiogram Profile of Bacteria Isolated from California Mastitis Test Positive Milk Samples of Crossbred Cows of Satkhira District in Bangladesh

Present study was conducted for the isolation, identification, molecular detection and antibiotic sensitivity patterns of the bacteria present in the California Mastitis Test (CMT) positive milk samples of clinical and sub-clinical mastitic crossbred (Friesian cross and Sahiwal cross) cows of Satkhira district. A total number of 598 quarters milk samples from 150 cows were tested by CMT kit, among them 82 quarters from 52 cows were positive for CMT. The bacteria isolated from 52 CMT positive milk samples were coagulase positive Staphylococcus aureus 27 (49.09%) followed by Escherichia coli 15 (27.27%), coagulase negative Staphylococcus (CNS) spp. 10 (18.18%) and Bacillus spp. 3 (5.45%) respectively. In this present study only 13 (48.15%) positive Staphylococcus aureus were positive against nuc gene by PCR. All the isolates of E.coli were further confirmed by PCR with species specific 16srRNA PCR. None of the isolates of E.coli revealed positivity in PCR by stx1 and stx2 genes. All the coagulase positive Staphylococcus aureus isolates were found sensitive to 6 antibiotics and resistant to 5 antibiotics. The Coagulase negative Staphylococcus spp. was also sensitive to 7 antibiotics and acquired resistant properties against 3 antibiotics. Most E.coli isolates were found resistant against 9 antibiotics already possessed multidrug resistant properties and sensitive to only 3 antibiotics. Bacillus spp. isolated from milk samples was highly sensitive against 5 antibiotics compare to other antibiotics of the panel. Antibiogram profile of this study revealed that, all the isolated bacteria were sensitive to Ciprofloxacin only

A Cotton-Fiber-Associated Cyclin-Dependent Kinase A Gene: Characterization and Chromosomal Location

A cotton fiber cDNA and its genomic sequences encoding an A-type cyclin-dependent kinase (GhCDKA) were cloned and characterized. The encoded GhCDKA protein contains the conserved cyclin-binding, ATP binding, and catalytic domains. Northern blot and RT-PCR analysis revealed that the GhCDKA transcript was high in 5–10 DPA fibers, moderate in 15 and 20 DPA fibers and roots, and low in flowers and leaves. GhCDKA protein levels in fibers increased from 5–15 DPA, peaked at 15 DPA, and decreased from 15 t0 20 DPA. The differential expression of GhCDKA suggested that the gene might play an important role in fiber development. The GhCDKA sequence data was used to develop single nucleotide polymorphism (SNP) markers specific for the CDKA gene in cotton. A primer specific to one of the SNPs was used to locate the CDKA gene to chromosome 16 by deletion analysis using a series of hypoaneuploid interspecific hybrids

The Utilization of Translocation Lines and Microsatellite Markers for the Identification of Unknown Cotton Monosomic Lines

Simple sequence repeats (SSR) have been applied as useful markers for understanding cotton genetics. In the last decade, chromosome-deficient stocks of Gossypium hirsutum L. were used in the development of chromosome substitution lines for G. barbadense L., G. tomentosum Nuttall et Seemann, and G. mustelinum Watt chromosomes or chromosome segments. Several DNA markers have already been assigned to the individual chromosomes of G. hirsutum. We created new cotton monosomic lines in Uzbekistan after irradiation of seeds by thermal neutrons or pollen gamma‐irradiation to complement other global efforts in the development of cotton chromosome substitution lines. The primary objective of this chapter is to report the use of chromosome-specific SSR markers and a well-defined tester set of cotton translocation lines from the Cotton Cytogenetic Collection at Texas A&M AgriLife Research to confirm chromosome specificity of monosomic lines in Uzbekistan cytogenetic collection of cotton. Our results have assigned several different monosomic lines to the chromosomes 2, 4, 6, and telosome 11 At‐subgenome and chromosomes 18 and 20 or 22 Dt‐subgenome. These lines will be very useful in molecular mapping, the creation of substitution lines, and cotton breeding

Isolation, identification, and antibiogram studies of Salmonella species and Escherichia coli from boiler meat in some selected areas of Bangladesh

Background: The present study was carried out for the isolation, identification of Salmonella and Escherichia coli from broiler meat samples (leg muscle, breast muscle and drumstick) which were collected from different upazilla markets of Mymensingh, Gazipur, and Sherpur districts during the period of January 2015 to May 2015.Methods: A total of 60 samples were subjected to bacterial isolation and identification by using cultural, biochemical, and polymerase chain reaction assays.Results: Using standard bacteriological techniques E. coli was isolated from 50 (83.33%) samples and Salmonella spp. from 18 (31.66%) samples. Furthermore, the isolates were subjected to antibiogram studies by disk diffusion method using eight commonly used antibiotics. Antibiogram studies revealed that gentamicin, ciprofloxacin, and norfloxacin were highly sensitive against all the isolated bacteria, whereas most of the isolates were resistant to amoxicillin, erythromycin, and tetracycline. Out of all the isolates, 5 isolates of E. coli and 3 isolates of Salmonella were found multidrug resistant.Conclusions: The study revealed the presence of multidrug resistant Salmonella and E. coli in broiler meat sold in live bird market of different upazilla

Development, genetic mapping and QTL association of cotton PHYA, PHYB, and HY5-specific CAPS and dCAPS markers

BACKGROUND: Among SNP markers that become increasingly valuable in molecular breeding of crop plants are the CAPS and dCAPS markers derived from the genes of interest. To date, the number of such gene-based markers is small in polyploid crop plants such as allotetraploid cotton that has A- and D-sub-genomes. The objective of this study was to develop and map new CAPS and dCAPS markers for cotton developmental-regulatory genes that are important in plant breeding programs. RESULTS: Gossypium hirsutum and G. barbadense, are the two cultivated allotetraploid cotton species. These have distinct fiber quality and other agronomic traits. Using comparative sequence analysis of characterized GSTs of the PHYA1, PHYB, and HY5 genes of G. hirsutum and G. barbadense one PHYA1-specific Mbo I/Dpn II CAPS, one PHYB-specific Alu I dCAPS, and one HY5-specific Hinf I dCAPS cotton markers were developed. These markers have successfully differentiated the two allotetraploid genomes (AD(1) and AD(2)) when tested in parental genotypes of ‘Texas Marker-1’ (‘TM-1’), ‘Pima 3–79’ and their F(1) hybrids. The genetic mapping and chromosome substitution line-based deletion analyses revealed that PHYA1 gene is located in A-sub-genome chromosome 11, PHYB gene is in A-sub-genome chromosome 10, and HY5 gene is in D-sub-genome chromosome 24, on the reference ‘TM-1’ x ‘Pima 3–79’ RIL genetic map. Further, it was found that genetic linkage map regions containing phytochrome and HY5-specific markers were associated with major fiber quality and flowering time traits in previously published QTL mapping studies. CONCLUSION: This study detailed the genome mapping of three cotton phytochrome genes with newly developed CAPS and dCAPS markers. The proximity of these loci to fiber quality and other cotton QTL was demonstrated in two A-subgenome and one D-subgenome chromosomes. These candidate gene markers will be valuable for marker-assisted selection (MAS) programs to rapidly introgress G. barbadense phytochromes and/or HY5 gene (s) into G. hirsutum cotton genotypes or vice versa. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12863-016-0448-4) contains supplementary material, which is available to authorized users

Comparative Study between Conventional PID and Fuzzy Logic Controller for a Current Controlled D.C. Drive Using MATLAB/Simulink

ABSTRACT: This paper describes a closed loop model of a current controlled PMDC motor drive with two controller FUZZY & PID separately, then comparison of the effect on output parameters for this two different controller is established. The differences between the output speed of PMDC motor & a preset reference speed is fed as an error signal to the controller of the system. The output of the speed controller (actuating signal) controls the duty cycle of converter and hence controls the converter output. Through this controlled converter output, required voltage gets injected into the motor. A small change in the injected voltage can cause a large change in the motor current and hence leading to a particular drive control feature. In the past few years Fuzzy Logic became a very much popular choice of controller for feedback control of various industrial systems. Fuzzy logic control is much closer in spirit to human thinking and logical reasoning than conventional controller like PID or PI. Recent study shows that this type of controller (FUZZY) provides better settling time, low peak overshoot and less percent of steady state error in overall system output which leads to better stability of overall system. In this Paper, a performance analysis of the conventional PID controller and fuzzy logic controller has been done by the use of MATLAB. . Depending on the armature voltage control method simulink model of a current mode buck-type dc chopper-fed permanent-magnet (PM) dc motor drive with proportional controller in its feedback loop is realized [3][4] . But the importance of PID controllers in process industry cannot be overemphasized because although some modern controllers like FUZZY got popularity, the majority of the industrial controllers use PID or modified PID control schemes KEYWORDS