Numerical ecology validates a biogeographical distribution and gender-based effect on mucosa-associated bacteria along the human colon

Numerical ecology validates a biogeographical distribution and gender-based effect on mucosa-associated bacteria along the human colon
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DOI:
10.1038/ismej.2010.177
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发表时间:
2011-05-01
期刊:
影响因子:
11
通讯作者:
Morrison, Mark
Morrison, Mark
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
de Carcer, Daniel Aguirre;Cuiv, Paraic O.;Morrison, Mark

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我们应用约束排序数值生态学方法与人类肠道特异性系统发育微阵列(Aus-HIT芯片)产生的数据,以检查与匹配的活检组织样本从盲肠,横结肠,乙状结肠和直肠的10名健康患者的微生物多样性。与以前的研究一致,配置文件显示了显着的受试者间的变异性,但是,数值生态学分析方法允许从数据中减去受试者的影响,并首次揭示了特定微生物沿沿着结直肠的纵向梯度的证据。特别地,靶向链球菌属和肠球菌属的探针。在盲肠和横结肠样本中产生最强的信号,并逐渐下降到直肠。相反,分析表明,肠杆菌科的几个成员在直肠中的相对丰度增加。定量PCR数据的多变量分析证实了这些集体差异。我们还能够根据性别确定微阵列图谱的差异,特别是链球菌和普氏粪杆菌。这些多变量分析得出的结果是生物直观的,并表明结肠粘膜的血管造影可以通过横断面和/或初始队列研究监测变化。The ISME Journal(2011)5,801-809; doi:10.1038/ismej.2010.177; 2010年12月2日在线发表
We applied constrained ordination numerical ecology methods to data produced with a human intestinal tract-specific phylogenetic microarray (the Aus-HIT Chip) to examine the microbial diversity associated with matched biopsy tissue samples taken from the caecum, transverse colon, sigmoid colon and rectum of 10 healthy patients. Consistent with previous studies, the profiles revealed a marked intersubject variability; however, the numerical ecology methods of analysis allowed the subtraction of the subject effect from the data and revealed, for the first time, evidence of a longitudinal gradient for specific microbes along the colorectum. In particular, probes targeting Streptococcus and Enterococcus spp. produced strongest signals with caecal and transverse colon samples, with a gradual decline through to the rectum. Conversely, the analyses suggest that several members of the Enterobacteriaceae increase in relative abundance towards the rectum. These collective differences were substantiated by the multivariate analysis of quantitative PCR data. We were also able to identify differences in the microarray profiles, especially for the streptococci and Faecalibacterium prausnitzii, on the basis of gender. The results derived by these multivariate analyses are biologically intuitive and suggest that the biogeography of the colonic mucosa can be monitored for changes through cross-sectional and/or inception cohort studies. The ISME Journal (2011) 5, 801-809; doi:10.1038/ismej.2010.177; published online 2 December 2010