微生物组核心OTU鉴定usearch otutab_core

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otutab_core

http://www.drive5.com/usearch/manual/cmd_otutab_core.html

鉴定核心微生物组——大多数样品中出现的OTUs,这也是Usearch11新增的功能。

本质上是统计每个OTUs在大量样品中出现的频率。比如在所有样本中都出现,即100%。特别大量样本时,如几千个,可能很少有OTU存在于所有样本,可选择95%,或90%的样本中出现的OTUs作为核心OTUs。

Identifies a possible “core microbiome” of OTUs which are present in more samples than others.

输入文件为经典的QIIME格式OTU表

Input is an OTU table in QIIME classic format.

在一些样品或许多样本中出现的OTU可能是假的,原因可能是串道(cross-talk)或扩增、测序错误的假OTU。为方便检查,otutab_core命令产生分析报告,标明哪些OTU可能是串道、哪些可能是测序错误。

The presence of an OTU in some or many samples can be spurious because of cross-talk or because the OTU itself is spurious. To enable manual review, the otutab_core command generates a report indicating cases where the presence of an OTU may be spurious due to cross-talk, and where an OTU may be spurious due to sequence errors.

如果使用-sintaxin参数指定物种注释,报导中也会包括物种信息。

If a sintax tabbed file is provided using the -sintaxin option, then the taxonomy of the core OTUs is included in the report.

如果使用distmxin选项提供距离矩阵,可用于鉴定主导的OTUs,例如在报告中高丰度OTUs与低丰度OTUs相似,如果存在主导OTUs,那这些低丰主OTUs是假的。

If a distance matrix is provided using the distmxin option, this is used to identify possible dominant OTUs, i.e. high-abundance OTUs which are similar to a low-abundance OTUs in the report. If there is a dominant OTU, this may indicate that the low-abundance OTU is spurious.

-tabbedout参数指定输出文件。OTUs按样品中出现频率排序,包括如下12个字段。

The -tabbedout option specifies the output file. OTUs are sorted in order of decreasing number of samples where they are present. Fields are:

  1. OTU = name of the OTU.
  2. Samples = number of samples where the OTU has a non-zero count.
  3. Size = total number of reads assigned to this OTU.
  4. DomOTU = high-abundance “dominant” OTU which is very similar to this OTU, if any.
  5. DomSize = total number of reads assigned to the dominant OTU.
  6. DomId = identity of the dominant OTU with this OTU.
  7. Min = minimum count for this OTU.
  8. LoQ = low quartile count for this OTU.
  9. Med = median count for this OTU.
  10. HiQ = high quartile count for this OTU.
  11. Max = maximum count for this OTU.
  12. Taxonomy = condensed taxonomy prediction.

If the minimum or LoQ count is much smaller than the maximum count, this suggests that the smaller counts may be due to cross-talk.

If the size of an OTU is much smaller than a neighboring “dominant” OTU, then the OTU itself may be spurious due to sequence error.

使用实例

Example

  1. 基于OTU序列计算距离矩阵
usearch -calc_distmx otus.fa -tabbedout distmx.txt \
  -sparsemx_minid 0.9 -termid 0.8
  1. 物种注释(己完成可跳过)
usearch -sintax otus.fa -strand both -db ref16s.txt \
  -tabbedout sintax.txt
  1. 鉴定核心OTUs
usearch -otutab_core otutab.txt -distmxin distmx.txt \
  -sintaxin sintax.txt -tabbedout core.txt

在使用中,我碰到了报错。可以把-distmxin distmx.txt去掉。可以正常获得结果。

结果文件如下:

OTUID   Samples Size    Freq    DomOTU  DomSize DomId   Min     LoQ     Med     HiQ     Max     Taxonomy        Core
OTU_2   1000    5079019 0.131   .       .       .       162     1915    3270    5470    23217   d:Bacteria,p:"Proteobacteria",c:Betaproteobacteria,o:Burkholderiales,f:Burkholderiaceae,g:Ralstonia,s:Ralstonia_mannitolilytica 100
OTU_34  999    180434  0.00466 .       .       .       1       40      83      174     2484    d:Bacteria,p:"Proteobacteria",c:Gammaproteobacteria,o:Clostridiales,f:Chloroplast,g:Streptophyta,s:Porticoccus_litoralis        99.9154

具体每列的意义见上方帮助文档。最主要的结果是Samples列,即该OTU在多少个样本中检测到。我们还需要将此数值除以总样本量,才能获得Core OTU的比例,方便筛选核心OTUs。

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