Additional file 2 of Metagenomic insights into microbial adaptation to the salinity gradient of a typical short residence-time estuary

Additional file 2: Supplementary Table S1. Physicochemical parameters and metagenomic data sizes. Supplementary Table S2. Shotgun metagenomics sequencing statistics and COG annotation for metagenomes. Supplementary Table S3. Characteristics of the 127 MAGs reconstructed in this study. Supplementary Table S4. Raw relative abundances of 127 MAGs reconstructed in this study and their taxonomy and salinity categories. Supplementary Table S5. Proportion of sequences recruited by the MAGs from each metagenomic sample and the co-assembly. Supplementary Table S6. Taxonomic annotation results based on metagenomic contigs and Shannon-Wiener diversity indices. Supplementary Table S7. Statistics of ribosomal gene sequences identified and annotated from the metagenomes. Supplementary Table S8. COG functions that significantly segregated across MAGs of different salinity categories selected by the Boruta random forest algorithm based on 8000 permutations. Supplementary Table S9. Relative abundances of COGs (%) related to microbial adaptation to the estuarine environment in the metagenomes. Supplementary Table S10. Relative abundances of COGs (%) related to microbial adaptation to the estuarine environment in the MAGs.附加文件2：补充表S1，涵盖理化参数与宏基因组数据规模；补充表S2，涵盖鸟枪法宏基因组测序统计数据及宏基因组的直系同源基因簇（Cluster of Orthologous Groups，COG）注释结果；补充表S3，涵盖本研究重构的127个宏基因组组装基因组（Metagenome-Assembled Genomes，MAG）的基本特征；补充表S4，涵盖本研究重构的127个MAG的原始相对丰度、分类学信息及盐度类别；补充表S5，涵盖各宏基因组样本与共组装组中MAG招募得到的序列占比情况；补充表S6，涵盖基于宏基因组重叠群（metagenomic contig）的分类学注释结果与香农-威纳多样性指数；补充表S7，涵盖从宏基因组中鉴定并注释的核糖体基因序列统计数据；补充表S8，涵盖基于8000次置换的Boruta随机森林算法筛选出的、在不同盐度类别MAG间存在显著分化的COG功能类群；补充表S9，涵盖宏基因组中与微生物适应河口环境相关的COG相对丰度（%）；补充表S10，涵盖MAG中与微生物适应河口环境相关的COG相对丰度（%）