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Growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits

BACKGROUND: Prokaryote-virus interactions play key roles in driving biogeochemical cycles. However, little is known about the drivers shaping their interaction network structures, especially from the host features. Here, we compiled 7656 species-level genomes in 39 prokaryotic phyla across environme...

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Autores principales: Liu, Zhenghua, Yan, Qingyun, Jiang, Chengying, Li, Juan, Jian, Huahua, Fan, Lu, Zhang, Rui, Xiao, Xiang, Meng, Delong, Liu, Xueduan, Wang, Jianjun, Yin, Huaqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195381/
https://www.ncbi.nlm.nih.gov/pubmed/35701838
http://dx.doi.org/10.1186/s40168-022-01288-x
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author Liu, Zhenghua
Yan, Qingyun
Jiang, Chengying
Li, Juan
Jian, Huahua
Fan, Lu
Zhang, Rui
Xiao, Xiang
Meng, Delong
Liu, Xueduan
Wang, Jianjun
Yin, Huaqun
author_facet Liu, Zhenghua
Yan, Qingyun
Jiang, Chengying
Li, Juan
Jian, Huahua
Fan, Lu
Zhang, Rui
Xiao, Xiang
Meng, Delong
Liu, Xueduan
Wang, Jianjun
Yin, Huaqun
author_sort Liu, Zhenghua
collection PubMed
description BACKGROUND: Prokaryote-virus interactions play key roles in driving biogeochemical cycles. However, little is known about the drivers shaping their interaction network structures, especially from the host features. Here, we compiled 7656 species-level genomes in 39 prokaryotic phyla across environments globally and explored how their interaction specialization is constrained by host life history traits, such as growth rate. RESULTS: We first reported that host growth rate indicated by the reverse of minimal doubling time was negatively related to interaction specialization for host in host-provirus network across various ecosystems and taxonomy groups. Such a negative linear growth rate-specialization relationship (GrSR) was dependent on host optimal growth temperature (OGT), and stronger toward the two gradient ends of OGT. For instance, prokaryotic species with an OGT ≥ 40 °C showed a stronger GrSR (Pearson’s r = −0.525, P < 0.001). Significant GrSRs were observed with the presences of host genes in promoting the infection cycle at stages of adsorption, establishment, and viral release, but nonsignificant with the presence of immune systems, such as restriction-modification systems and CRISPR-Cas systems. Moreover, GrSR strength was increased with the presence of temperature-dependent lytic switches, which was also confirmed by mathematical modeling. CONCLUSIONS: Together, our results advance our understanding of the interactions between prokaryotes and proviruses and highlight the importance of host growth rate in interaction specialization during lysogenization. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-022-01288-x.
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spelling pubmed-91953812022-06-15 Growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits Liu, Zhenghua Yan, Qingyun Jiang, Chengying Li, Juan Jian, Huahua Fan, Lu Zhang, Rui Xiao, Xiang Meng, Delong Liu, Xueduan Wang, Jianjun Yin, Huaqun Microbiome Research BACKGROUND: Prokaryote-virus interactions play key roles in driving biogeochemical cycles. However, little is known about the drivers shaping their interaction network structures, especially from the host features. Here, we compiled 7656 species-level genomes in 39 prokaryotic phyla across environments globally and explored how their interaction specialization is constrained by host life history traits, such as growth rate. RESULTS: We first reported that host growth rate indicated by the reverse of minimal doubling time was negatively related to interaction specialization for host in host-provirus network across various ecosystems and taxonomy groups. Such a negative linear growth rate-specialization relationship (GrSR) was dependent on host optimal growth temperature (OGT), and stronger toward the two gradient ends of OGT. For instance, prokaryotic species with an OGT ≥ 40 °C showed a stronger GrSR (Pearson’s r = −0.525, P < 0.001). Significant GrSRs were observed with the presences of host genes in promoting the infection cycle at stages of adsorption, establishment, and viral release, but nonsignificant with the presence of immune systems, such as restriction-modification systems and CRISPR-Cas systems. Moreover, GrSR strength was increased with the presence of temperature-dependent lytic switches, which was also confirmed by mathematical modeling. CONCLUSIONS: Together, our results advance our understanding of the interactions between prokaryotes and proviruses and highlight the importance of host growth rate in interaction specialization during lysogenization. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-022-01288-x. BioMed Central 2022-06-14 /pmc/articles/PMC9195381/ /pubmed/35701838 http://dx.doi.org/10.1186/s40168-022-01288-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Zhenghua
Yan, Qingyun
Jiang, Chengying
Li, Juan
Jian, Huahua
Fan, Lu
Zhang, Rui
Xiao, Xiang
Meng, Delong
Liu, Xueduan
Wang, Jianjun
Yin, Huaqun
Growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits
title Growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits
title_full Growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits
title_fullStr Growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits
title_full_unstemmed Growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits
title_short Growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits
title_sort growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195381/
https://www.ncbi.nlm.nih.gov/pubmed/35701838
http://dx.doi.org/10.1186/s40168-022-01288-x
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