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通过使用下一代测序检测到的多态性进行系统基因组分析。 (注:原文“Phylogenomic analysis in by using...”表述似乎不完整,缺少具体的分析对象等内容,但按照要求逐字翻译如上。)

Phylogenomic analysis in by using polymorphisms detected by next-generation sequencing.

作者信息

Nishiyama Chisato, Sekiguchi Suguru, Sugihara Yu, Nishikawa Minami, Makita Natsu, Segawa Tenta, Terasaki Momoka, Takagi Hiroki, Koyanagi Takashi

机构信息

Laboratory of Plant Breeding, Ishikawa Prefectural University, 1-308 Suematsu, Nonoichi-shi, Ishikawa 921-8836, Japan.

Laboratory of Food Microbiology, Ishikawa Prefectural University, 1-308 Suematsu, Nonoichi-shi, Ishikawa 921-8836, Japan.

出版信息

Biosci Microbiota Food Health. 2023;42(2):138-142. doi: 10.12938/bmfh.2022-017. Epub 2023 Jan 13.

DOI:10.12938/bmfh.2022-017
PMID:37016685
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10067329/
Abstract

is a lactic acid bacterium used to produce a wide range of fermented food products. To understand their characteristics and adaptability to various nutrient sources, we applied strain-specific, nucleotide-concatenated (SSC) sequences to the phylogenetic analysis of 32 . strains isolated from various locations and products. SSC sequences were developed by concatenating the polymorphisms detected by whole-genome sequencing. This enabled us to use sufficient polymorphisms and avoid the bias caused by selecting partial sequences, such as that in core genome and multi-locus sequence typing. SSC sequence-based analysis revealed that the phylogenetic relations for . are based on the different nutrition sources rather than geographical distance.

摘要

是一种用于生产多种发酵食品的乳酸菌。为了解它们的特性以及对各种营养源的适应性,我们将菌株特异性核苷酸串联(SSC)序列应用于对从不同地点和产品中分离出的32株菌株的系统发育分析。SSC序列是通过连接全基因组测序检测到的多态性而开发的。这使我们能够使用足够的多态性,并避免因选择部分序列(如核心基因组和多位点序列分型中的序列)而导致的偏差。基于SSC序列的分析表明,[具体菌株名称]的系统发育关系基于不同的营养源而非地理距离。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9843/10067329/062e67f620ab/bmfh-42-138-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9843/10067329/0e188bae26f4/bmfh-42-138-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9843/10067329/7091ff9229b4/bmfh-42-138-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9843/10067329/062e67f620ab/bmfh-42-138-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9843/10067329/0e188bae26f4/bmfh-42-138-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9843/10067329/7091ff9229b4/bmfh-42-138-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9843/10067329/062e67f620ab/bmfh-42-138-g003.jpg

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本文引用的文献

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IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era.IQ-TREE 2:基因组时代系统发育推断的新模型和有效方法。
Mol Biol Evol. 2020 May 1;37(5):1530-1534. doi: 10.1093/molbev/msaa015.
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Genomic and metabolic features of Lactobacillus sakei as revealed by its pan-genome and the metatranscriptome of kimchi fermentation.
泡菜发酵中乳杆菌 sakei 的泛基因组和宏转录组揭示的基因组和代谢特征。
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Robust Domination of Lactobacillus sakei in Microbiota During Traditional Japanese Sake Starter Yamahai-Moto Fermentation and the Accompanying Changes in Metabolites.在传统日本清酒酒母山废本酿造过程中,清酒乳杆菌在微生物群中的稳健主导地位以及伴随的代谢物变化
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