产品目录
  • 细胞培养进口血清
    进口胎牛血清
    进口新生牛血清
    进口猪血清
    马血清
  • 支原体检测盒及标准品
    常规PCR检测试剂盒
    荧光定量PCR检测(qPCR法)
    支原体DNA提取
    灵敏度标准品(方法验证用)
    特异性标准品(方法验证用)
    PCR定量标准品(可用于方法验证)
  • 支原体祛除试剂
    细胞中支原体祛除
    环境支原体祛除
    水槽支原体祛除
  • 干细胞培养基
  • DNA/RNA污染祛除
    DNA/RNA污染祛除试剂
    DNA污染监测
  • RNA病毒研究试剂
    RNA病毒检测试剂盒
    病毒RNA提取
  • PCR仪器及配套产品
    DNA污染监测祛除
    PCR/qPCR仪性能检查
    PCR试剂
    PCR试剂盒
    PCR预混液(冻干粉)
    热启动聚合酶MB Taq DNA
  • 微生物PCR检测
    食品检测类产品
    食品微生物检测
    细菌PCR检测
欢迎来到 威正翔禹|缔一生物官方网站|咨询热线:400-166-8600
咨询热线
400-166-8600

产品目录
  • 细胞培养进口血清
    进口胎牛血清
    进口新生牛血清
    进口猪血清
    马血清
  • 支原体检测盒及标准品
    常规PCR检测试剂盒
    荧光定量PCR检测(qPCR法)
    支原体DNA提取
    灵敏度标准品(方法验证用)
    特异性标准品(方法验证用)
    PCR定量标准品(可用于方法验证)
  • 支原体祛除试剂
    细胞中支原体祛除
    环境支原体祛除
    水槽支原体祛除
  • 干细胞培养基
  • DNA/RNA污染祛除
    DNA/RNA污染祛除试剂
    DNA污染监测
  • RNA病毒研究试剂
    RNA病毒检测试剂盒
    病毒RNA提取
  • PCR仪器及配套产品
    DNA污染监测祛除
    PCR/qPCR仪性能检查
    PCR试剂
    PCR试剂盒
    PCR预混液(冻干粉)
    热启动聚合酶MB Taq DNA
  • 微生物PCR检测
    食品检测类产品
    食品微生物检测
    细菌PCR检测

利用微生物培养基的景观来预测新的有机体媒体配对

2016-09-27 14:39

The most frequently altered compounds in this way are the biologically common ions/salts, followed by trace metals and vitamins. This lends further evidence that these trace components play key roles in differentiating growth between close species, and thus should be considered in future media design.

Beyond these analyses, we examine broad trends in compound usage across phyla at different taxonomic levels. Heat maps of enrichment of different taxonomic groups for media components can be found in Supplementary Figs 4–8 and Supplementary Note 3.

Media usage follows phylogenetic and ecological trends

An implicit assumption that investigators make when trying to cultivate new microorganisms is that the best medium to start with is one from a phylogenetic or ecological neighbour. Despite its apparent logic, this assumption has not, to our knowledge, been rigorously tested and validated. To do this, we mapped organisms in DSMZ to operational taxonomic units in Greengenes ecological data as clustered into environments (see Methods for details; clustering in ref. 20), and also to taxonomic classifications from the Interactive Tree of Life project (Itol21). We find that, indeed, the likelihood that two organisms share at least one lab medium strongly correlates with both their ecological and phylogenetic similarity (see Fig. 3; ρ=0.76, P=2.3e?13, and ρ=0.92, P=1.3e?3, respectively, for ecological and phylogenetic similarities, as determined by cohabitation Jaccard index (ecological) or inverse subtree count in the iTOL taxonomic tree (phylogenetic); see Methods for details). This indicates that phylogenetic and ecological closeness are good heuristics for determining the likelihood that two organisms have successfully been grown in the same lab medium. Indeed, we show later that this is not just descriptive of what has been done in the past, but that it holds a signal that can be used predictively for deriving new successful organism–media pairings. Importantly, the fractions of organism pairs sharing lab media listed in Fig. 3 are likely underestimates, as the organism-by-media matrix in KOMODO is highly underpopulated (see previous section). This observation is indeed upheld when we perform new growth experiments, as most of our predictions (which were not listed previously in KOMODO) yield growth.

文章引自:nature.com;版权声明:版权归原作者所有,如有版权问题,请与我们联系。




上一页
...
7 8 9 下一页