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

Liu, Zhenghua1,2; Yan, Qingyun3; Jiang, Chengying4; Li, Juan5; Jian, Huahua6; Fan, Lu7; Zhang, Rui8; Xiao, Xiang6; Meng, Delong1; Liu, Xueduan1; Wang, Jianjun2; Yin, Huaqun1

2022-06-14

10.1186/s40168-022-01288-x

Microbiome   Impact Factor & Quartile

2049-2618

2049-2618

["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 degrees 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."]

Host-virus interaction Growth rate Specialization Temperature Infection cycle Genetic traits

SCI

English

Others

Major Research Plan of National Natural Science Foundation of China[91851206,91851117] ; National Nature Science Foundation of China[41877345] ; National Key Research and Development Program by the Ministry of Science and Technology of China[2018YFE0110200] ; Key Research and Development Program of Hunan Province[S2020GCZDYF1057]

Microbiology

Microbiology

WOS:000811219100001

BMC

2-s2.0-85132050207

Web of Science

1.Cent South Univ, Sch Minerals Proc & Bioengn, Minist Educ, Key Lab Biometallurgy, Changsha 410006, Peoples R China
2.Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing 210008, Peoples R China
3.Sun Yat Sen Univ, Sch Environm Sci & Engn, Environm Microbiom Res Ctr, Guangzhou 510006, Peoples R China
4.Chinese Acad Sci, Inst Microbiol, State Key Lab Microbial Resources, Beijing 100101, Peoples R China
5.Hunan Agr Univ, Coll Agron, Changsha 410125, Peoples R China
6.Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, State Key Lab Microbial Metab, Shanghai 200240, Peoples R China
7.Southern Univ Sci & Technol, Dept Ocean Sci & Engn, Shenzhen 518055, Peoples R China
8.Xiamen Univ, Inst Marine Microbes & Ecospheres, State Key Lab Marine Environm Sci, Xiamen 361102, Peoples R China

Liu, Zhenghua,Yan, Qingyun,Jiang, Chengying,et al. Growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits[J]. Microbiome,2022,10(1).

Liu, Zhenghua.,Yan, Qingyun.,Jiang, Chengying.,Li, Juan.,Jian, Huahua.,...&Yin, Huaqun.(2022).Growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits.Microbiome,10(1).

Liu, Zhenghua,et al."Growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits".Microbiome 10.1(2022).