Correction to “Xenobiotic estradiol-17ß alters gut microbiota of hatchling American alligators (Alligator mississippiensis)”

IF 4.3 2区 生物学 Q2 MICROBIOLOGY
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引用次数: 0

Abstract

Murphy, K.M., Watkins, M.M., Finger, J.W., Kelley, M.D., Elsey, R.M., Warner, D.A., Mendonça, M.T. (2022) Xenobiotic estradiol-17ß alters gut microbiota of hatchling American alligators (Alligator mississippiensis). Environmental Microbiology, 24(12), 63366347. https://doi.org/10.1111/1462-2920.16222

In Figure 2B, we report no statistical significance between treatment groups (P > 0.05) using a non-metric multidimensional scaling plot (NMDS) followed by an analysis of similarity (ANOSIM). We later state “Bray–Curtis NMDS showed different patterns of clustering of samples across treatment groups (Figure 2B). However, bacterial community structure did not differ between groups (R = 0.026, p = 0.28), suggesting that microbiomes of each treatment group were similar.”

In the following discussion, we expand on this by stating “One of the most interesting results from our study shows that exposure to a relatively low concentration of E2 increases microbiota absolute abundances but does not influence microbiota diversity. This dose-dependent effect suggests that varying concentrations of E2 may influence microbial community composition, in terms of alpha and beta diversity, in different ways.”

Upon revisiting these analyses, we discovered that the metadata file used to generate the NMDS plot was out of order; meaning, the samples displayed in the published beta diversity plot are not correctly associated to treatment groups. When this file is in the correct order, we found a different pattern in that the experimental groups do significantly differ from the control group.

We would like to issue a correction to Figure 2B and to correct our statement in the results section to read “Bray–Curtis NMDS showed different patterns of clustering of samples across treatment groups (Figure 2B). Indeed, bacterial community structure differs between groups (R = 0.208, p = 0.002), suggesting that microbiomes of each treatment group were distinct from one another.” We would also like to correct the statement in the discussion section to read “One of the most interesting results from our study shows that exposure to rising concentrations of E2 increases microbiota abundances but decreases alpha diversity. Additionally, community composition was distinct between treatment groups. This dose-dependent effect suggests that varying concentrations of E2 may influence microbial community composition in different ways.”

We apologize for this error and even though this result becomes statistically significant after our re-analysis, it has minimal effect on the scientific conclusions of our work.

Abstract Image

更正 "异生物雌二醇-17ß改变幼鳄肠道微生物群"
Murphy, K.M., Watkins, M.M., Finger, J.W., Kelley, M.D., Elsey, R.M., Warner, D.A., Mendonça, M.T. (2022) Xenobiotic estradiol-17ß alters gut microbiota of hatchling American alligators (Alligator mississippiensis)。环境微生物学》,24(12), 6336-6347。https://doi.org/10.1111/1462-2920.16222In 图 2B,我们报告了使用非度量多维标度图(NMDS)和相似性分析(ANOSIM)在处理组之间没有统计学意义(P >0.05)。我们随后指出:"布雷-柯蒂斯 NMDS 显示了不同处理组样本的不同聚类模式(图 2B)。然而,各组之间的细菌群落结构并无差异(R = 0.026,p = 0.28),这表明各处理组的微生物群落是相似的。"在接下来的讨论中,我们进一步指出:"我们研究中最有趣的结果之一表明,暴露于相对低浓度的 E2 会增加微生物群绝对丰度,但不会影响微生物群的多样性。这种剂量依赖性效应表明,不同浓度的 E2 可能会以不同的方式影响微生物群落的组成,即阿尔法和贝塔多样性。"在重新研究这些分析结果时,我们发现用于生成 NMDS 图的元数据文件顺序有误;也就是说,已公布的贝塔多样性图中显示的样本与处理组的关联不正确。我们希望对图 2B 进行更正,并将结果部分的表述更正为 "布雷-柯蒂斯 NMDS 显示不同处理组的样本聚类模式不同(图 2B)。事实上,各组之间的细菌群落结构不同(R = 0.208,p = 0.002),这表明各治疗组的微生物组彼此不同"。我们还希望将讨论部分的表述更正为 "我们研究中最有趣的结果之一表明,暴露于浓度不断升高的 E2 会增加微生物群的丰度,但会降低阿尔法多样性。此外,不同处理组的群落组成也不同。这种剂量依赖性效应表明,不同浓度的 E2 可能会以不同的方式影响微生物群落的组成。"我们对这一错误表示歉意,尽管这一结果在我们重新分析后具有统计学意义,但它对我们工作的科学结论影响甚微。原图 2B:更正后的图 2B:
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来源期刊
Environmental microbiology
Environmental microbiology 环境科学-微生物学
CiteScore
9.90
自引率
3.90%
发文量
427
审稿时长
2.3 months
期刊介绍: Environmental Microbiology provides a high profile vehicle for publication of the most innovative, original and rigorous research in the field. The scope of the Journal encompasses the diversity of current research on microbial processes in the environment, microbial communities, interactions and evolution and includes, but is not limited to, the following: the structure, activities and communal behaviour of microbial communities microbial community genetics and evolutionary processes microbial symbioses, microbial interactions and interactions with plants, animals and abiotic factors microbes in the tree of life, microbial diversification and evolution population biology and clonal structure microbial metabolic and structural diversity microbial physiology, growth and survival microbes and surfaces, adhesion and biofouling responses to environmental signals and stress factors modelling and theory development pollution microbiology extremophiles and life in extreme and unusual little-explored habitats element cycles and biogeochemical processes, primary and secondary production microbes in a changing world, microbially-influenced global changes evolution and diversity of archaeal and bacterial viruses new technological developments in microbial ecology and evolution, in particular for the study of activities of microbial communities, non-culturable microorganisms and emerging pathogens
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