Describing macroecological patterns in microbes: Approaches for comparative analyses of operational taxonomic unit read number distribution with a case study of global oceanic bacteria
Describing macroecological patterns in microbes: Approaches for comparative analyses of operational taxonomic unit read number distribution with a case study of global oceanic bacteria
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描述微生物的宏观生态模式：通过全球海洋细菌的案例研究对操作分类单元读取数分布进行比较分析的方法
DOI：
10.1002/edn3.78
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发表时间：
2020
影响因子：
--
通讯作者：
Matsuoka Shunsuke
中科院分区：
文献类型：
--
作者：
Nakadai Ryosuke;Okazaki Yusuke;Matsuoka Shunsuke
描述群落中常见性和稀有性的变异是评价生物多样性的基本方法。这种模式已被研究的物种丰度分布（SAD）在宏观生物在许多社区的背景下。最近，已经构建了用于分析局部SAD形状沿着环境梯度的变化的模型。高通量测序的最新发展使得能够使用操作分类单位（OTU）读段数分布（ORD）来评估局部微生物群落中的常见性和稀有性，其在概念上类似于SAD。然而，很少有研究探讨了当地微生物的ORD形状的变化沿着环境梯度。因此，SAD和ORD之间的相似性和差异性尚不清楚，这给全球生物多样性模式的任何普遍规则蒙上了阴影。我们调查的相似性和差异，在ORD形状与SAD，以及环境变量如何解释变化的ORDs沿着纬度和深度梯度。在这里，我们集成到最近的比较分析方法的SAD形状使用数据集上产生的塔拉海洋探险的ORD。用该方法解释了全球海洋细菌群落中ORDs偏度变异的56%。此外，我们证实了Weibull分布的参数组合约束由细菌群落的ORD和树木群落的SAD共享，这表明共同的长期限制过程，如适应和群落持续性作用于当前丰度变化。另一方面，偏度是显着更大的细菌群落比树木社区，许多生态预测并不适用于细菌群落，这表明微生物和宏观生物的社区组装规则的差异。基于ORD的方法提供了在与宏观生物相同的框架下量化微生物宏观生态模式的机会。
Describing the variation in commonness and rarity in a community is a fundamental method of evaluating biodiversity. Such patterns have been studied in the context of species abundance distributions (SADs) among macroscopic organisms in numerous communities. Recently, models for analyzing variation in local SAD shapes along environmental gradients have been constructed. The recent development of high‐throughput sequencing enables evaluation of commonness and rarity in local communities of microbes using operational taxonomic unit (OTU) read number distributions (ORDs), which are conceptually similar to SADs. However, few studies have explored the variation in local microbial ORD shapes along environmental gradients. Therefore, the similarities and differences between SADs and ORDs are unclear, clouding any universal rules of global biodiversity patterns. We investigated the similarities and differences in ORD shapes versus SADs, and how well environmental variables explain the variation in ORDs along latitudinal and depth gradients. Herein, we integrate ORDs into recent comparative analysis methods for SAD shape using datasets generated on the Tara Oceans expedition. About 56% of the variance in skewness of ORDs among global oceanic bacterial communities was explained with this method. Moreover, we confirmed that the parameter combination constraints of Weibull distributions were shared by ORDs of bacterial communities and SADs of tree communities, suggesting common long‐term limitation processes such as adaptation and community persistence acting on current abundance variation. On the other hand, skewness was significantly greater for bacterial communities than tree communities, and many ecological predictions did not apply to bacterial communities, suggesting differences in the community assembly rules for microbes and macroscopic organisms. Approaches based on ORDs provide opportunities to quantify macroecological patterns of microbes under the same framework as macroscopic organisms.