With a little help from my friends: importance of protist-protist interactions in structuring marine protistan communities in the San Pedro Channel.

IF 4.6 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2025-02-18 Epub Date: 2025-01-29 DOI:10.1128/msystems.01045-24
Samantha J Gleich, Lisa Y Mesrop, Jacob A Cram, J L Weissman, Sarah K Hu, Yi-Chun Yeh, Jed A Fuhrman, David A Caron
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Abstract

Marine protists form complex communities that are shaped by environmental and biological ecosystem properties, as well as ecological interactions between organisms. While all of these factors play a role in shaping protistan communities, the specific ways in which these properties and interactions influence protistan communities remain poorly understood. Fourteen years and 9 months of eukaryotic amplicon (18S-V4 rRNA gene) data collected monthly at the San Pedro Ocean Time-series (SPOT) station were used to evaluate the impacts that environmental and biological factors, and protist-protist interactions had on protistan community composition. Statistical analysis of the amplicon data revealed that seasonal patterns in protistan community composition were apparent, but that the environmental data collected through routine time-series sampling efforts could not explain most of the variability that was evident in the communities. To identify some of the protist-protist interactions that may have played a role in shaping protistan communities, ecological networks were constructed using the amplicon data and the network predictions were compared against a database of confirmed protist-protist interactions. The database comparisons revealed hundreds of established parasitic, predator-prey, photosymbiotic, and mutualistic relationships in the networks. Although many interactions were confirmed using the database, these confirmed interactions constituted only 2% of the interactions identified at the SPOT station, highlighting the need to better characterize protist-protist interactions in marine environments. Finally, the network-predicted interactions that were not found in the database were used to identify putative, novel protist-protist interactions that may have played a role in structuring the protistan communities at the SPOT station.

Importance: Network analyses are commonly used to identify some of the ecological interactions that may be occurring between protists in the ocean; however, evaluating predictions obtained from these analyses remains difficult due to the large number of interactions that may be recovered and the limited amount of information available on protist-protist interactions in nature. In this study, ecological network analyses were conducted using data collected at the San Pedro Ocean Time-series (SPOT) station and the network predictions were compared against a database of established protist-protist interactions. These database comparisons revealed hundreds of confirmed protist-protist interactions, and thousands of putative, novel interactions that may be occurring at the SPOT station. The database comparisons carried out in this study provide a new way of evaluating network predictions and highlight the complex, yet critical role that ecological interactions play in shaping protistan community composition in marine ecosystems.

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在我朋友的一点帮助下:原生生物与原生生物的互动在圣佩德罗海峡构建海洋原生生物群落中的重要性。
海洋原生生物形成复杂的群落,受环境和生物生态系统特性以及生物之间的生态相互作用的影响。虽然所有这些因素都在形成原生生物群落中发挥作用,但这些特性和相互作用影响原生生物群落的具体方式仍然知之甚少。利用圣佩德罗海洋时间序列(SPOT)观测站14年零9个月的真核扩增子(18S-V4 rRNA基因)数据,评价了环境和生物因素以及原生生物之间的相互作用对原生生物群落组成的影响。对扩增子数据的统计分析表明,原生生物群落组成具有明显的季节特征,但通过常规时间序列采样收集的环境数据不能解释群落中大部分明显的变异。为了确定一些可能在原生生物群落形成中发挥作用的原生生物-原生生物相互作用,利用扩增子数据构建了生态网络,并将网络预测与已确认的原生生物-原生生物相互作用数据库进行了比较。数据库的比较揭示了数百种已建立的寄生虫、捕食者-猎物、光共生和互惠关系。尽管使用数据库确认了许多相互作用,但这些确认的相互作用仅占SPOT站确定的相互作用的2%,这突出了更好地表征海洋环境中原生生物与原生生物相互作用的必要性。最后,在数据库中没有发现的网络预测的相互作用被用来识别可能在SPOT站点的原生生物群落结构中发挥作用的假定的、新的原生生物之间的相互作用。重要性:网络分析通常用于确定海洋中原生生物之间可能发生的一些生态相互作用;然而,评估从这些分析中获得的预测仍然很困难,因为可以恢复的相互作用数量很大,而且自然界中原生生物相互作用的可用信息数量有限。在这项研究中,利用在圣佩德罗海洋时间序列(SPOT)站收集的数据进行了生态网络分析,并将网络预测与已建立的原生生物-原生生物相互作用数据库进行了比较。这些数据库比较揭示了数百种已证实的原生生物之间的相互作用,以及数千种可能在SPOT站发生的假定的新型相互作用。本研究中进行的数据库比较提供了一种评估网络预测的新方法,并强调了生态相互作用在塑造海洋生态系统中原生生物群落组成方面所起的复杂而关键的作用。
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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
期刊最新文献
Pseudomonas aeruginosa dynamically prioritizes motility and resource recycling during prolonged starvation. Large-scale estimation of bacterial and archaeal DNA prevalence in metagenomes reveals biome-specific patterns. Empowering global disease surveillance with CURED: a tool for rapid identification of unique genomic biomarkers. Lactiplantibacillus plantarum 082 ameliorates heat stress-induced testicular injury by modulating the gut microbiota. Genome-wide analysis exploring mechanisms used by Shigella sonnei to survive long-term nutrient starvation.
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