Publications by authors named "Saule Daugaliyeva"

Extreme ecosystems are a rich source of specialized metabolites that can overcome multidrug resistance. However, the low efficiency of traditional exploratory research in discovering new antibiotics remains a major limitation. We hypothesized that actinomycetes may have the ability to produce antibiotics in the extremes of a changing natural environment.

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The environment significantly impacts the lives of bees and their feeding. This study aimed to investigate bee foraging using melissopalynological analysis and DNA metabarcoding in intensive farming, reserved, and urbanized areas. The highest alpha diversity was observed in the reserved and intensive farming areas.

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Brucellosis is an infectious disease of animals that can infect humans. The disease causes significant economic losses and threatens human health. A timely and accurate disease diagnosis plays a vital role in the identification of brucellosis.

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The microbial community of cattle rumen (archaea) are the key players in methane emissions. Methane pollutes the atmosphere and leads to the loss of feed energy. The aim of this study was to comparatively investigate the cattle microbiota, with a particular focus on archaea, in relation to the type of housing: pasture versus stall.

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Koumiss, a five-thousand-year-old fermented mare's milk beverage, is widely recognized for its beneficial nutrient and medicinal properties. The microbiota of Chinese and Mongolian koumiss have been largely characterized in recent years, but little is known concerning Kazakh koumiss despite this drink historically originates from the modern Kazakhstan territory. In addition, while koumiss is regarded as a drink with therapeutic potential, there are also no data on koumiss anti-Candida activity.

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The subject of the study was to identify the antagonism of the Lactobacillus plantarum strain 17 M against the causative agent of fire blight, the bacterium Erwinia amylovora, and to evaluate its protective capabilities on apple blossoms against this disease. For comparison 9 strains of lactic acid bacteria from the LLP "SPC of Microbiology and Virology" collection were included in the study. Strain 17 M appeared to be superior in limiting the growth of the pathogen on all 3 liquid media tested.

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In this study, we analyzed the microbial composition of the rumen contents of cattle from Kazakhstan. Specifically, samples of the liquid and solid fractions of the rumen were collected to determine the quantitative and qualitative composition of methanogenic archaea. Cattle were six steers receiving hay-concentrate feeding.

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Methane (CH) is an important greenhouse gas (GHG). Enteric methane emissions from farmed ruminant livestock account for approximately 15% of global GHG emissions, with approximately 44% of livestock emissions in the form of methane. The purpose of the research is to study the influence of feeding types and regional characteristics of Kazakhstan on the microbiota of feces and the number of methane-forming archaea of beef and meat-and-dairy cattle productivity.

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In Kazakhstan, barley ( L.) is the second most important cereal crop after wheat, with an annual production of approximately 1.9 million tons.

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The use of reference genes is commonly accepted as the most reliable approach to normalize qRT-PCR and to reduce possible errors in the quantification of gene expression. The aim of this study was to identify a set of reference genes suitable for gene expression analysis in the distal portion of small intestine and ileocecal valve in cattle. These sites of intestine are of interest in veterinary science as they are the main sites of inflammation caused by Mycobacterium avium subsp.

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Previous studies led to identify SNPs in putative regulatory regions of the SLC11A1 and CARD15 genes with association to paratuberculosis in cattle. Aim of this study was to investigate the role of these mutations at the regulatory level by DNA-protein interaction analyses and transcriptome comparison between wild-type and mutated animals. Gene regions carrying the SNPs of interest were analysed by bioinformatic tools to predict allele-dependent binding sites for transcription factors (TFBS).

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