Reconstruction of a Soil Microbial Network Induced by Stress Temperature

ABSTRACT The microbial community is viewed as a network of diverse microorganisms connected by various interspecific interactions. While the stress gradient hypothesis (SGH) predicts that positive interactions are favored in more stressful environments, the prediction has been less explored in compl...
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Autor*in:	Dailin Yang [verfasserIn] Hiromi Kato [verfasserIn] Kazutaka Kawatsu [verfasserIn] Yutaka Osada [verfasserIn] Toyohiro Azuma [verfasserIn] Yuji Nagata [verfasserIn] Michio Kondoh [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	metabolic theory of ecology stress gradient hypothesis empirical dynamic modeling interaction network soil microbiota stability

Übergeordnetes Werk:	In: Microbiology Spectrum - American Society for Microbiology, 2022, 10(2022), 5
Übergeordnetes Werk:	volume:10 ; year:2022 ; number:5

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1128/spectrum.02748-22

Katalog-ID:	DOAJ083937587

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topic_facet	metabolic theory of ecology stress gradient hypothesis empirical dynamic modeling interaction network soil microbiota stability Microbiology
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authorswithroles_txt_mv	Dailin Yang @@aut@@ Hiromi Kato @@aut@@ Kazutaka Kawatsu @@aut@@ Yutaka Osada @@aut@@ Toyohiro Azuma @@aut@@ Yuji Nagata @@aut@@ Michio Kondoh @@aut@@
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callnumber-first	Q - Science
author	Dailin Yang
spellingShingle	Dailin Yang misc QR1-502 misc metabolic theory of ecology misc stress gradient hypothesis misc empirical dynamic modeling misc interaction network misc soil microbiota misc stability misc Microbiology Reconstruction of a Soil Microbial Network Induced by Stress Temperature
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topic_title	QR1-502 Reconstruction of a Soil Microbial Network Induced by Stress Temperature metabolic theory of ecology stress gradient hypothesis empirical dynamic modeling interaction network soil microbiota stability
topic	misc QR1-502 misc metabolic theory of ecology misc stress gradient hypothesis misc empirical dynamic modeling misc interaction network misc soil microbiota misc stability misc Microbiology
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title	Reconstruction of a Soil Microbial Network Induced by Stress Temperature
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title_full	Reconstruction of a Soil Microbial Network Induced by Stress Temperature
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author_browse	Dailin Yang Hiromi Kato Kazutaka Kawatsu Yutaka Osada Toyohiro Azuma Yuji Nagata Michio Kondoh
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title_sort	reconstruction of a soil microbial network induced by stress temperature
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title_auth	Reconstruction of a Soil Microbial Network Induced by Stress Temperature
abstract	ABSTRACT The microbial community is viewed as a network of diverse microorganisms connected by various interspecific interactions. While the stress gradient hypothesis (SGH) predicts that positive interactions are favored in more stressful environments, the prediction has been less explored in complex microbial communities due to the challenges of identifying interactions. Here, by applying a nonlinear time series analysis to the amplicon-based diversity time series data of the soil microbiota cultured under less stressful (30°C) or more stressful (37°C) temperature conditions, we show how the microbial network responds to temperature stress. While the genera that persisted only under the less stressful condition showed fewer positive effects, the genera that appeared only under the more stressful condition received more positive effects, in agreement with SGH. However, temperature difference also induced reconstruction of the community network, leading to an increased proportion of negative interactions at the whole-community level. The anti-SGH pattern can be explained by the stronger competition caused by increased metabolic rate and population densities. IMPORTANCE By combining amplicon-based diversity survey with recently developed nonlinear analytical tools, we successfully determined the interaction networks of more than 150 natural soil microbial genera under less or more temperature stress and explored the applicability of the stress gradient hypothesis to soil microbiota, shedding new light on the well-known hypothesis.
abstractGer	ABSTRACT The microbial community is viewed as a network of diverse microorganisms connected by various interspecific interactions. While the stress gradient hypothesis (SGH) predicts that positive interactions are favored in more stressful environments, the prediction has been less explored in complex microbial communities due to the challenges of identifying interactions. Here, by applying a nonlinear time series analysis to the amplicon-based diversity time series data of the soil microbiota cultured under less stressful (30°C) or more stressful (37°C) temperature conditions, we show how the microbial network responds to temperature stress. While the genera that persisted only under the less stressful condition showed fewer positive effects, the genera that appeared only under the more stressful condition received more positive effects, in agreement with SGH. However, temperature difference also induced reconstruction of the community network, leading to an increased proportion of negative interactions at the whole-community level. The anti-SGH pattern can be explained by the stronger competition caused by increased metabolic rate and population densities. IMPORTANCE By combining amplicon-based diversity survey with recently developed nonlinear analytical tools, we successfully determined the interaction networks of more than 150 natural soil microbial genera under less or more temperature stress and explored the applicability of the stress gradient hypothesis to soil microbiota, shedding new light on the well-known hypothesis.
abstract_unstemmed	ABSTRACT The microbial community is viewed as a network of diverse microorganisms connected by various interspecific interactions. While the stress gradient hypothesis (SGH) predicts that positive interactions are favored in more stressful environments, the prediction has been less explored in complex microbial communities due to the challenges of identifying interactions. Here, by applying a nonlinear time series analysis to the amplicon-based diversity time series data of the soil microbiota cultured under less stressful (30°C) or more stressful (37°C) temperature conditions, we show how the microbial network responds to temperature stress. While the genera that persisted only under the less stressful condition showed fewer positive effects, the genera that appeared only under the more stressful condition received more positive effects, in agreement with SGH. However, temperature difference also induced reconstruction of the community network, leading to an increased proportion of negative interactions at the whole-community level. The anti-SGH pattern can be explained by the stronger competition caused by increased metabolic rate and population densities. IMPORTANCE By combining amplicon-based diversity survey with recently developed nonlinear analytical tools, we successfully determined the interaction networks of more than 150 natural soil microbial genera under less or more temperature stress and explored the applicability of the stress gradient hypothesis to soil microbiota, shedding new light on the well-known hypothesis.
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title_short	Reconstruction of a Soil Microbial Network Induced by Stress Temperature
url	https://doi.org/10.1128/spectrum.02748-22 https://doaj.org/article/44707b0ab1a7496caa7e39b8b730d1f0 https://journals.asm.org/doi/10.1128/spectrum.02748-22 https://doaj.org/toc/2165-0497
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