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991.
Nurlisa Yusuf Ammar Zakaria Mohammad Iqbal Omar Ali Yeon Md Shakaff Maz Jamilah Masnan Latifah Munirah Kamarudin Norasmadi Abdul Rahim Nur Zawatil Isqi Zakaria Azian Azamimi Abdullah Amizah Othman Mohd Sadek Yasin 《BMC bioinformatics》2015,16(1)
Background
Effective management of patients with diabetic foot infection is a crucial concern. A delay in prescribing appropriate antimicrobial agent can lead to amputation or life threatening complications. Thus, this electronic nose (e-nose) technique will provide a diagnostic tool that will allow for rapid and accurate identification of a pathogen.Results
This study investigates the performance of e-nose technique performing direct measurement of static headspace with algorithm and data interpretations which was validated by Headspace SPME-GC-MS, to determine the causative bacteria responsible for diabetic foot infection. The study was proposed to complement the wound swabbing method for bacterial culture and to serve as a rapid screening tool for bacteria species identification. The investigation focused on both single and poly microbial subjected to different agar media cultures. A multi-class technique was applied including statistical approaches such as Support Vector Machine (SVM), K Nearest Neighbor (KNN), Linear Discriminant Analysis (LDA) as well as neural networks called Probability Neural Network (PNN). Most of classifiers successfully identified poly and single microbial species with up to 90% accuracy.Conclusions
The results obtained from this study showed that the e-nose was able to identify and differentiate between poly and single microbial species comparable to the conventional clinical technique. It also indicates that even though poly and single bacterial species in different agar solution emit different headspace volatiles, they can still be discriminated and identified using multivariate techniques. 相似文献992.
Nahla V Bassil Thomas M Davis Hailong Zhang Stephen Ficklin Mike Mittmann Teresa Webster Lise Mahoney David Wood Elisabeth S Alperin Umesh R Rosyara Herma Koehorst-vanc Putten Amparo Monfort Daniel J Sargent Iraida Amaya Beatrice Denoyes Luca Bianco Thijs van Dijk Ali Pirani Amy Iezzoni Dorrie Main Cameron Peace Yilong Yang Vance Whitaker Sujeet Verma Laurent Bellon Fiona Brew Raul Herrera Eric van de Weg 《BMC genomics》2015,16(1)
Background
A high-throughput genotyping platform is needed to enable marker-assisted breeding in the allo-octoploid cultivated strawberry Fragaria × ananassa. Short-read sequences from one diploid and 19 octoploid accessions were aligned to the diploid Fragaria vesca ‘Hawaii 4’ reference genome to identify single nucleotide polymorphisms (SNPs) and indels for incorporation into a 90 K Affymetrix® Axiom® array. We report the development and preliminary evaluation of this array.Results
About 36 million sequence variants were identified in a 19 member, octoploid germplasm panel. Strategies and filtering pipelines were developed to identify and incorporate markers of several types: di-allelic SNPs (66.6%), multi-allelic SNPs (1.8%), indels (10.1%), and ploidy-reducing “haploSNPs” (11.7%). The remaining SNPs included those discovered in the diploid progenitor F. iinumae (3.9%), and speculative “codon-based” SNPs (5.9%). In genotyping 306 octoploid accessions, SNPs were assigned to six classes with Affymetrix’s “SNPolisher” R package. The highest quality classes, PolyHigh Resolution (PHR), No Minor Homozygote (NMH), and Off-Target Variant (OTV) comprised 25%, 38%, and 1% of array markers, respectively. These markers were suitable for genetic studies as demonstrated in the full-sib family ‘Holiday’ × ‘Korona’ with the generation of a genetic linkage map consisting of 6,594 PHR SNPs evenly distributed across 28 chromosomes with an average density of approximately one marker per 0.5 cM, thus exceeding our goal of one marker per cM.Conclusions
The Affymetrix IStraw90 Axiom array is the first high-throughput genotyping platform for cultivated strawberry and is commercially available to the worldwide scientific community. The array’s high success rate is likely driven by the presence of naturally occurring variation in ploidy level within the nominally octoploid genome, and by effectiveness of the employed array design and ploidy-reducing strategies. This array enables genetic analyses including generation of high-density linkage maps, identification of quantitative trait loci for economically important traits, and genome-wide association studies, thus providing a basis for marker-assisted breeding in this high value crop.Electronic supplementary material
The online version of this article (doi:10.1186/s12864-015-1310-1) contains supplementary material, which is available to authorized users. 相似文献993.
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996.
Ergul Belge Kurutas Yakup Gumusalan Ali Cetinkaya Ekrem Dogan 《Biological procedures online》2015,17(1)
Background
Oxidative stress biomarkers such as superoxide dismutase (CuZnSOD), catalase (CAT) and malondialdehyde (MDA) play an important role in the pathogenesis or progression of numerous diseases. Data regarding the biological variation and analytical quality specifications (imprecision, bias and total error) for judging the acceptability of method performance for oxidative stress biomarkers in urine are conspicuously lacking in the literature. Such data are important in setting analytical quality specifications, assessing the utility of population reference intervals (index of individuality) and assessing the significance of changes in serial results from an individual (reference change value; RCV).Materials and methods
20 patients with type 2 diabetes mellitus (T2DM), 20 patients with diabetic nephropathy (DN) and 14 healthy individuals as control were involved in this study. Timed first morning urine samples were taken from patients and healthy groups on the zero, 1st, 3rd, 5th, 7th, 15th and 30th days. Index of individuality and reference change value were calculated from within-subject and between-subject variations. Methods of oxidative stress biomarkers in human blood were adopted in human urine and markers were measured as spectrophotometrically. Also, analytical quality specifications for evaluation of the method performance were established for oxidative stress biomarkers in urine.Results
Within-subject variations of oxidative stress biomarkers were significantly higher in patients with DN and T2DM compared to healthy subjects. MDA showed low individuality, and within-subject variances of MDA were larger than between-subject variances in all groups. However, CAT and CuZnSOD showed strong individuality, but within-subject variances of them were smaller than between-subject variances in all groups. RCVs of all analytes in diabetic patients were relatively higher, because of high within-subject variation, resulting in a higher RCV. Also, the described methodology achieves these goals, with analytical CVs of < 3.5% for all analytes. Goals for bias and total error were 6.0-7.9% and 12.5-23.3%, respectively.Conclusions
RCVs concept for predicting the clinical status in diabetic patients represents an optimization of laboratory reporting and could be a valuable tool for clinical decision. Furthermore, for oxidative stress biomarkers’ measurements in urine, the desirable imprecision goals based on biological variation are obtainable by current methodologies. 相似文献997.
Although proteomics has been exploited in a wide range of diseases for identification of biomarkers and pathophysiological mechanisms, there are still biomedical disciplines such as otology where proteomics platforms are underused due to technical challenges and/or complex features of the disease. Thus, in the past few years, healthcare and scientific agencies have advocated the development and adoption of proteomic technologies in otological research. However, few studies have been conducted and limited literature is available in this area. Here, we present the state of the art of proteomics in otology, discussing the substantial evidence from recent experimental models and clinical studies in inner-ear conditions. We also delineate a series of critical issues including minute size of the inner ear, delicacy and poor accessibility of tissue that researchers face while undertaking otology proteomics research. Furthermore, we provide perspective to enhance the impact and lead to the clinical implementation of these proteomics-based strategies. 相似文献
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999.
Seyed Ali Safavi 《Biocontrol Science and Technology》2011,21(8):883-891
One of the hurdles in the development of entomopathogenic fungi such as Beauveria bassiana is loss of virulence when successively maintained in vitro. This may result in products of inferior quality in mass production programs. Also, there are many contradicting data and unclear points in this case. Three isolates of B. bassiana were subcultured successively 15 times. Spore-bound Pr1 activity, germination rate, and virulence of conidia against mealworm (Tenebrio molitor L.) larvae were studied. Results showed that isolates normally retained their virulence during 10 subculturings. However, they clearly offered decreased virulence (elevated LT50 values and lower percent mortality). The activity of Pr1 bound to conidia declined as subculturing continued; the lowest spore-bound activity and germination potential of conidia was recorded for the 15th subculture. Virulence data were in agreement with Pr1 activity and germination rate as there was a positive correlation between germination rate and spore-bound Pr1 activity with fungal virulence. This explains that at least a part of attenuation in fungal virulence can be explored in enzymatic activity, especially in the important cuticle-degrading protease, Pr1. 相似文献
1000.
In 2009, the Royal Botanic Gardens, Kew (UK) launched its Breathing Planet Programme. This 10 year programme seeks to re-align
Kew’s work to develop plant-based solutions to the challenges of climate change. Further to the development of the Programme,
Kew has undertaken a review of its science projects with relevance to mitigating the impacts of climate change on plant diversity
and people. The review has allowed Kew to better understand its current strengths and weaknesses in this area in order to
plan for the future. The findings of the review could be relevant for science programmes in other botanic gardens. Botanic
gardens play a fundamental role in the conservation of biodiversity to mitigate climate change impacts. Knowledge and data
on plant systematics, distribution and physiology is vital for modelling and monitoring the impacts of climate change, to
help to identify plant species and habitats most at risk of losing their wild diversity. Kew’s Millennium Seed Bank Project
will safeguard 25% of plant species by 2020, while in situ projects are improving the conservation of threatened habitats.
One challenge is to make such activities relevant and useful to other scientists, conservation groups and policy makers working
to address climate change. However, botanic gardens must also develop working practices and projects that specifically address
the challenges of climate change. Kew and a global network of partners are doing this in a variety of ways, and examples will
be presented in this paper. 相似文献