five

RB-TnSeq data for Bacteroides thetaiotaomicron VPI-5482

收藏
DataCite Commons2025-06-01 更新2024-07-28 收录
下载链接:
https://figshare.com/articles/dataset/RB-TnSeq_data_for_Bacteroides_thetaiotaomicron_VPI-5482/13171766/1
下载链接
链接失效反馈
官方服务:
资源简介:
This data set includes 523 successful fitness assays for Bacteroides thetaiotaomicron VPI-5482 based on a pool of randomly-barcoded transposon mutants (RB-TnSeq). The data is provided as a gzipped tarball. After unpacking, load index.html into a web browser to get some explanation of all the files.<br>Note added September 10, 2021: After publishing this data, Morgan Price and Adam Deutschbauer discovered that our stock solutions for sucrose and D-mannitol were problematic. In particular, Escherichia coli BW25113 is a K-12 strain (closely related to MG1655) and should not be able to grow on sucrose. In M9 media made with our original stock solution of sucrose, E. coli BW25113 grew, but in media made with a fresh stock solution, it did not. Similarly, growth of E. coli on mannitol should require the phosphotransferase uptake protein mtlA and the dehydrogenase mtlD. In our original fitness assays for E. coli, mtlA and mtlD were not important for growth on mannitol; instead, manX and manY, which encode the mannose phosphotransferase system, were important. When we repeated these experiments with a fresh stock solution for D-mannitol, we found that mtlA and mtlD were important for fitness, and manX and manY were not.<br>Please disregard the data regarding sucrose or D-mannitol. In the Fitness Browser (https://fit.genomics.lbl.gov), the problematic fitness experiments have been removed. As of September 2021, the data for these compounds in the Fitness Browser is from fresh stock solutions of sucrose and D-mannitol. We also checked that the data from these experiments is consistent with prior knowledge of the utilization of these compounds. Finally, we checked the gene re-annotations that were related to these sucrose or mannitol utilization.<br>
提供机构:
figshare
创建时间:
2020-10-30
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