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解冻永久冻土中的微生物组组装及其对气候的反馈。

Microbiome assembly in thawing permafrost and its feedbacks to climate.

机构信息

Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire, USA.

Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, New Hampshire, USA.

出版信息

Glob Chang Biol. 2022 Sep;28(17):5007-5026. doi: 10.1111/gcb.16231. Epub 2022 Jun 20.

Abstract

The physical and chemical changes that accompany permafrost thaw directly influence the microbial communities that mediate the decomposition of formerly frozen organic matter, leading to uncertainty in permafrost-climate feedbacks. Although changes to microbial metabolism and community structure are documented following thaw, the generality of post-thaw assembly patterns across permafrost soils of the world remains uncertain, limiting our ability to predict biogeochemistry and microbial community responses to climate change. Based on our review of the Arctic microbiome, permafrost microbiology, and community ecology, we propose that Assembly Theory provides a framework to better understand thaw-mediated microbiome changes and the implications for community function and climate feedbacks. This framework posits that the prevalence of deterministic or stochastic processes indicates whether the community is well-suited to thrive in changing environmental conditions. We predict that on a short timescale and following high-disturbance thaw (e.g., thermokarst), stochasticity dominates post-thaw microbiome assembly, suggesting that functional predictions will be aided by detailed information about the microbiome. At a longer timescale and lower-intensity disturbance (e.g., active layer deepening), deterministic processes likely dominate, making environmental parameters sufficient for predicting function. We propose that the contribution of stochastic and deterministic processes to post-thaw microbiome assembly depends on the characteristics of the thaw disturbance, as well as characteristics of the microbial community, such as the ecological and phylogenetic breadth of functional guilds, their functional redundancy, and biotic interactions. These propagate across space and time, potentially providing a means for predicting the microbial forcing of greenhouse gas feedbacks to global climate change.

摘要

伴随多年冻土解冻而发生的物理和化学变化会直接影响到介导先前冻结有机物质分解的微生物群落,从而导致对多年冻土-气候反馈的不确定性。尽管在解冻后微生物代谢和群落结构的变化已有记录,但全世界多年冻土土壤中解冻后的组装模式的普遍性仍然不确定,这限制了我们预测生物地球化学和微生物群落对气候变化的反应的能力。基于我们对北极微生物组、多年冻土微生物学和群落生态学的综述,我们提出组装理论为更好地理解解冻介导的微生物组变化以及对群落功能和气候反馈的影响提供了一个框架。该框架假设确定性或随机性过程的盛行程度表明群落是否适合在不断变化的环境条件下茁壮成长。我们预测,在短时间尺度上且在高干扰解冻(例如,热喀斯特)之后,随机性主导解冻后微生物组的组装,这表明关于微生物组的详细信息将有助于功能预测。在更长的时间尺度和较低的干扰强度(例如,活动层加深)下,确定性过程可能占主导地位,使得环境参数足以预测功能。我们提出,随机性和确定性过程对解冻后微生物组组装的贡献取决于解冻干扰的特征,以及微生物群落的特征,例如功能类群的生态和系统发育广度、它们的功能冗余和生物相互作用。这些特征在空间和时间上传播,可能为预测微生物对温室气体反馈对全球气候变化的影响提供了一种手段。

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