scholarly journals Lacticaseibacillus paracasei: Occurrence in the Human Gut Microbiota and K-Mer-Based Assessment of Intraspecies Diversity

Life ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1246
Author(s):  
Maria Frolova ◽  
Sergey Yudin ◽  
Valentin Makarov ◽  
Olga Glazunova ◽  
Olga Alikina ◽  
...  

Alignment-free approaches employing short k-mers as barcodes for individual genomes have created a new strategy for taxonomic analysis and paved a way for high-resolution phylogeny. Here, we introduce this strategy for the Lacticaseibacillus paracasei species as a taxon requiring barcoding support for precise systematics. Using this approach for phylotyping of L. paracasei VKM B-1144 at the genus level, we identified four L. paracasei phylogroups and found that L. casei 12A belongs to one of them, rather than to the L. casei clade. Therefore, we propose to change the specification of this strain. At the genus level we found only one relative of L. paracasei VKM B-1144 among 221 genomes, complete or available in contigs, and showed that the coding potential of the genome of this “rare” strain allows its consideration as a potential probiotic component. Four sets of published metagenomes were used to assess the dependence of L. paracasei presence in the human gut microbiome on chronic diseases, dietary changes and antibiotic treatment. Only antibiotics significantly affected their presence, and strain-specific barcoding allowed the identification of the main scenarios of the adaptive response. Thus, suggesting bacteria of this species for compensatory therapy, we also propose strain-specific barcoding for selecting optimal strains for target microbiomes.

BMC Biology ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Congyu Lu ◽  
Zheng Zhang ◽  
Zena Cai ◽  
Zhaozhong Zhu ◽  
Ye Qiu ◽  
...  

Abstract Background Viruses are ubiquitous biological entities, estimated to be the largest reservoirs of unexplored genetic diversity on Earth. Full functional characterization and annotation of newly discovered viruses requires tools to enable taxonomic assignment, the range of hosts, and biological properties of the virus. Here we focus on prokaryotic viruses, which include phages and archaeal viruses, and for which identifying the viral host is an essential step in characterizing the virus, as the virus relies on the host for survival. Currently, the method for determining the viral host is either to culture the virus, which is low-throughput, time-consuming, and expensive, or to computationally predict the viral hosts, which needs improvements at both accuracy and usability. Here we develop a Gaussian model to predict hosts for prokaryotic viruses with better performances than previous computational methods. Results We present here Prokaryotic virus Host Predictor (PHP), a software tool using a Gaussian model, to predict hosts for prokaryotic viruses using the differences of k-mer frequencies between viral and host genomic sequences as features. PHP gave a host prediction accuracy of 34% (genus level) on the VirHostMatcher benchmark dataset and a host prediction accuracy of 35% (genus level) on a new dataset containing 671 viruses and 60,105 prokaryotic genomes. The prediction accuracy exceeded that of two alignment-free methods (VirHostMatcher and WIsH, 28–34%, genus level). PHP also outperformed these two alignment-free methods much (24–38% vs 18–20%, genus level) when predicting hosts for prokaryotic viruses which cannot be predicted by the BLAST-based or the CRISPR-spacer-based methods alone. Requiring a minimal score for making predictions (thresholding) and taking the consensus of the top 30 predictions further improved the host prediction accuracy of PHP. Conclusions The Prokaryotic virus Host Predictor software tool provides an intuitive and user-friendly API for the Gaussian model described herein. This work will facilitate the rapid identification of hosts for newly identified prokaryotic viruses in metagenomic studies.


2019 ◽  
Vol 9 (7) ◽  
pp. 1355
Author(s):  
Koji Ishiya ◽  
Sachiyo Aburatani

To understand the activities of complex microbial communities in various natural environments and living organisms, we need to capture the compositional changes in their taxonomic abundance. Here, we propose a new computational framework to detect compositional changes in microorganisms, including minor bacteria. This framework is designed to statistically assess relative variations in taxonomic abundance. By using this approach, we detected compositional changes in the human gut microbiome that might be associated with short-term human dietary changes. Our approach can shed light on the compositional changes of minor microorganisms that are easily overlooked.


2019 ◽  
Vol 62 (7) ◽  
pp. 985-987
Author(s):  
Qizheng Wu ◽  
Fang Liu ◽  
Yu Song ◽  
Qingyun Meng ◽  
Xunlian Zhang ◽  
...  

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 2306-2306 ◽  
Author(s):  
Maria S Albano ◽  
William Rothman ◽  
Chiseko Watanabe ◽  
Anna Gora ◽  
Andromachi Scaradavou ◽  
...  

Abstract Background: Umbilical Cord Blood (CB) is an increasingly accepted graft source for patients lacking related donors. Graft characteristics currently used as determinants of quality and engraftment potential of CB units include the enumeration of Total Nucleated Cell (TNC), CD34+ and Colony Forming Units (CFU). Among those, the 14 day-CFU assay is the only one that determines the functional state as well as the number of hematopoietic progenitor cells. Thus, CFU in pre and post cryopreservation/thawing specimens are strong independent predictors of CB graft engraftment. Traditionally, evaluation of CFU growth is performed by light microscopy (traditional classification), is time consuming, subjective and difficult to standardize. Aims: A) To evaluate whether the incorporation of high-resolution digital imaging and colony staining could make reading the traditional CFU assay objective and readily standardizable. B) To validate the new strategy vs traditional classification. C) To develop a computer based laboratory information management system (LIMS) to support high-throughput CFU assay. Methods and Results: After 14 days of CB culture (CFU assay-Stem Cell Technologies), an image of the 35 mm culture dishes was captured using a high-resolution photographic camera based digital imaging system, which achieves a resolution of 7.6 μM per pixel and thus, allows a clear view of all colonies in the dish with their barcoded IDs. A short one-step staining with MTT (3-[4,5-dimethylthiazol-2yl]-2,5-diphenyltetrazolium bromide) allows an even better definition of CFU-GM/E; CFU-GM and CFU-E by bestowing a specific color on each type (dark purple, purple and red respectively) against a uniformly clear background. A good correlation was observed after comparison of the new strategy against traditional enumeration (R2 linear= 0.95; n= 122 culture dishes evaluated). Low variation was observed after 151 cultures were independently classified and enumerated by three different operators (CV%= 8.9; range 1–27%). Sample plating introduced variation of the CFU assay, in an experiment where nine CB samples were evaluated by multiple plating (Intra-assay CV%= 21.9 %; range 3.4–34.5% and Inter-assay CV%= 23.3%; range 12.6–35%). A computer based laboratory information (LIMS) was developed to store all culture dishes, linked by unique barcoded ID labels to a specific CB unit, and including CB image, incubator location, plating and counting dates, as well as detailed colony enumeration. This system has been used for 5 months in our laboratory and more than 3,000 CB units have been tested in duplicate (average: 30 CB/day). Images of an average of 60 culture dishes and MTT staining can be performed in less than two hours. The specific coloration of CFU colonies allows faster classification and enumeration and thus, permits a more precise analysis of CFU colonies and its relation with CD34+ cell content and post-transplant engraftment. Summary: With this new strategy, CFU can be objectively visualized, differentiated and counted; the digital images can be stored for future review and refined classification. The described system provides computerized information on optical assay parameters and has become an invaluable tool supporting high-throughput implementation. Thus, the combination of high resolution imaging, one-step staining and the traditional CFU assay overcome most technical challenges of the conventional method, supporting standardization and yielding high reproducibility to the assay which can be easily implemented in CB banks where large numbers of samples need to be tested daily.


2013 ◽  
Vol 41 (6) ◽  
pp. e74-e74 ◽  
Author(s):  
Liguo Wang ◽  
Hyun Jung Park ◽  
Surendra Dasari ◽  
Shengqin Wang ◽  
Jean-Pierre Kocher ◽  
...  

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