five

How Lactobacillus plantarum Shapes its Transcriptome in Response to Contrasting Habitats

收藏
NIAID Data Ecosystem2026-04-25 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP149975
下载链接
链接失效反馈
官方服务:
资源简介:
Triplets of Lactobacullus plantarum strains were isolated from nine contrasting habitats. Without any passage through other culture media, isolation and cultivation were on model media that strictly reproduced the chemical and physical conditions and stressors of the habitats of origin. Here, we demonstrated how L. plantarum regulates and shapes its transcriptome in response to contrasting habitats. Firstly, multivariate clustering analysis of transcriptional data (RNA-Seq), complemented with metabolomics and phenomics, grouped the strains according to the habitats of origin. Subsequently, selected strains from each habitat switched to repeated cultivation on MRS medium and transcriptomes homogenized into a unique cluster. Adaptation to this common medium mainly relied on activation of genes for phage- and prophage-related proteins and transposases. Finally, the comparison of growth across model media and with respect to MRS medium showed that 44% of the overall 3,112 gene transcripts changed depending on the specific habitat. Regulation and shaping of transcriptomes mainly concerned carbohydrate acquisition, pyruvate catabolism, proteolytic system and amino acid, lipid and inorganic ion transport and metabolism, with contrasting responses for contrasting habitats. Pathways reconstruction demonstrated how the large genome size of L. plantarum imparts transcriptome and metabolic flexibility as the basic mechanism for a nomadic lifestyle. Overall design: We isolated presumptive autochthonous L. plantarum strains from nine different habitats: intestines from A. mellifera L. worker bees and Drosophila melanogaster, feces from omnivore and vegan healthy volunteers, table olives, tomatoes, pineapples, sourdoughs and cheeses. Isolation and cultivation was on nine model media
创建时间:
2020-08-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作