Structure and Dynamics of the Breast Tissue Microbiomes Under Tumor Influences: An Approach With Neutral, Near-Neutral, and Niche-Neutral Hybrid Models.
Structure and Dynamics of the Breast Tissue Microbiomes Under Tumor Influences: An Approach With Neutral, Near-Neutral, and Niche-Neutral Hybrid Models.
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DOI：
10.3389/fmicb.2021.614967
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发表时间：
2021
影响因子：
5.2
通讯作者：
Ma Z
中科院分区：
文献类型：
--
作者：
Li L;Ning P;Ma Z
乳腺组织细菌的结构和动力学对女性的健康，特别是乳腺肿瘤的发展有着深远的影响。然而，人们对塑造乳腺组织细菌结构和动力学的生态过程知之甚少。本研究利用Sloan near neutral model、Harris et al. multisite neutral model和Tang & Zhou niche-neutral hybrid model等3种元生态性模型对23例健康、12例良性肿瘤和33例恶性肿瘤组织样本的16 S-rRNA测序数据进行了重新分析，填补了这一差距。首先，我们发现，在社区/metacrobility水平，细菌组装和乳腺组织细菌的多样性维护的机制适度影响随机漂移的细菌人口（分裂，死亡和细菌细胞的分散）。在物种水平上，平均约10%和5%的物种分别高于（正选择）和低于（负选择）中性。此外，恶性肿瘤可使阳性选择物种增加至17%。其次，恶性肿瘤似乎抑制微生物扩散，如与正常和良性肿瘤组织中的迁移相比，迁移率降低所证明的。这些理论研究结果可为进一步研究组织细菌与乳腺肿瘤进展/发展之间的关系提供启发。
The structure and dynamics of breast tissue bacteria can have far-reaching influences on women’s health, particularly on breast tumor development. However, there is little understanding on the ecological processes that shape the structure and dynamics of breast tissue bacteria. Here, we fill the gap by applying three metacommunity models for investigating the community assembly and diversity maintenance, including Sloan near neutral model, Harris et al. multisite neutral and Tang & Zhou niche-neutral hybrid models to reanalyze the 16S-rRNA sequencing datasets of 23 healthy, 12 benign tumor, and 33 malignant tumor tissue samples. First, we found that, at the community/metacommunity levels, the mechanisms of bacteria assembly and diversity maintenance of breast tissue bacteria were moderately influenced by stochastic drifts of bacteria demography (division, death, and dispersal of bacterial cells). At species level, on average, approximately 10 and 5% species were above (positively selected) and below (negatively selected) neutral, respectively. Furthermore, malignant tumor may raise the positively selected species up to 17%. Second, malignant tumor appears to inhibit microbial dispersal as evidenced by lowered migration rates, compared with the migration in normal and benign tumor tissues. These theoretic findings can be inspirational for further investigating the relationships between tissue bacteria and breast tumor progression/development.
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