High-Throughput Absolute Quantification Sequencing Advances Characterisation of Microbial Community Ecology.

IF 3.9 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Shengnan Li, Xuting Ye, Kaikun Luo, Li Yu, Zhongyuan Shen, Ting Yi, Min Wang, Qianhong Gu
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引用次数: 0

Abstract

High-throughput sequencing has been extensively used in microbial ecology research, but this technology typically generates semi-quantitative relative abundance data. The discrepancies of community dynamics delivered by relative and absolute abundances have long been recognised by microbial ecologists. However, few studies have considered the discrepancies and their potential effects on related ecological interpretations. Here, the absolute copy numbers (absolute abundances) of taxa were quantified using a 'spike-in' based 16S absolute quantification sequencing to investigate the dynamics, co-occurrence patterns, and ecological assembly processes of microbial community in the river-connected Lake Dongting, Hunan province, China. Routine sequencing data analysis based on relative abundance was also obtained for comparison. The results indicated that outcomes based on relative and absolute abundances were comparable at the community level but differed significantly at the population level when dynamics and interactions of specific taxa were of interest. Specifically, at the population level, the dynamics of individual taxa were usually masked by their relative abundances, particularly for abundant taxa. The correlation-based co-occurrence network constructed from relative abundance largely underestimated the importance of rare taxa, consisted of massive false negative connections, and was less stable than the one constructed using absolute abundance. At the community level, the diversity and composition of microbial communities in Lake Dongting exhibited significant temporal rather than spatial variations, and temperature was determined to be the most important factor shaping microbial community composition and assembly processes, regardless of which abundance data were used. Nonetheless, relative abundance data yielded stronger environmental and deterministic effects on microbial assembly than absolute abundance. In summary, our study highlights the importance of incorporating absolute quantification to unveil the underlying microbial ecological patterns masked by relative abundance.

高通量绝对定量测序促进微生物群落生态学的表征。
高通量测序已广泛应用于微生物生态学研究,但该技术通常产生半定量的相对丰度数据。微生物生态学家早就认识到相对丰度和绝对丰度所传递的群落动态差异。然而,很少有研究考虑到这些差异及其对相关生态学解释的潜在影响。本文利用16S绝对定量测序技术,对洞庭湖微生物群落的动态、共生模式和生态组装过程进行了定量分析。基于相对丰度的常规测序数据分析进行比较。结果表明,相对丰度和绝对丰度在群落水平上具有可比性,但在种群水平上存在显著差异。具体而言,在种群水平上,单个分类群的动态通常被它们的相对丰度所掩盖,特别是对于丰度较高的分类群。相对丰度构建的相关共现网络在很大程度上低估了稀有类群的重要性,存在大量假负连接,稳定性不如绝对丰度构建的网络。在群落水平上,洞庭湖微生物群落的多样性和组成呈现出明显的时间变化而非空间变化,无论采用何种丰度数据,温度都是影响微生物群落组成和聚集过程的最重要因素。尽管如此,相对丰度数据对微生物聚集的环境和确定性影响比绝对丰度更强。总之,我们的研究强调了结合绝对定量来揭示被相对丰度掩盖的潜在微生物生态模式的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular Ecology
Molecular Ecology 生物-进化生物学
CiteScore
8.40
自引率
10.20%
发文量
472
审稿时长
1 months
期刊介绍: Molecular Ecology publishes papers that utilize molecular genetic techniques to address consequential questions in ecology, evolution, behaviour and conservation. Studies may employ neutral markers for inference about ecological and evolutionary processes or examine ecologically important genes and their products directly. We discourage papers that are primarily descriptive and are relevant only to the taxon being studied. Papers reporting on molecular marker development, molecular diagnostics, barcoding, or DNA taxonomy, or technical methods should be re-directed to our sister journal, Molecular Ecology Resources. Likewise, papers with a strongly applied focus should be submitted to Evolutionary Applications. Research areas of interest to Molecular Ecology include: * population structure and phylogeography * reproductive strategies * relatedness and kin selection * sex allocation * population genetic theory * analytical methods development * conservation genetics * speciation genetics * microbial biodiversity * evolutionary dynamics of QTLs * ecological interactions * molecular adaptation and environmental genomics * impact of genetically modified organisms
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