Growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits.
Growth rate determines prokaryote-provirus network modulated by temperature and host genetic traits.
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生长速率决定受温度和宿主遗传特征调节的原核生物-原病毒网络
DOI：
10.1186/s40168-022-01288-x
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发表时间：
2022-06-14
期刊：
影响因子：
15.5
通讯作者：
中科院分区：
文献类型：
--
作者：
原核生物-病毒相互作用在驱动地球化学循环中起着关键作用。然而，很少有人知道的驱动程序塑造他们的互动网络结构，特别是从主机功能。在这里，我们编译了7656个物种水平的基因组在39个原核生物门在全球范围内的环境，并探讨了它们的相互作用专业化是如何受到主机的生活史特征，如增长率。我们首次报道了在不同生态系统和分类学群体中，宿主-前病毒网络中宿主的相互作用特化与宿主的最小倍增时间的倒数所表示的宿主生长速率呈负相关。这种负的线性生长速率-专化性关系（GrSR）依赖于宿主最适生长温度（OGT），并朝着OGT的两个梯度端更强。例如，OGT ≥ 40 °C的原核物种显示出更强的GrSR（Pearson's r =-0.525，P < 0.001）。在吸附、建立和病毒释放阶段，在宿主基因的存在下观察到显著的GrSR，但在免疫系统的存在下，如限制修饰系统和CRISPR-Cas系统，GrSR不显著。此外，GrSR强度增加与温度依赖性裂解开关的存在下，这也证实了数学建模。总之，我们的研究结果推进了我们对原核生物和前病毒之间相互作用的理解，并强调了宿主生长速率在溶原化过程中相互作用专业化的重要性。视频摘要在线版本包含补充材料，可通过10. 1186/s40168-022-01288-x获取。
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. 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. 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. Video Abstract The online version contains supplementary material available at 10.1186/s40168-022-01288-x.
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影响因子：
4.6
作者：
Egilmez HI;Morozov AY;Clokie MRJ;Shan J;Letarov A;Galyov EE
通讯作者：
Galyov EE
影响因子：
2
作者：
Jover, Luis F.;Cortez, Michael H.;Weitz, Joshua S.
通讯作者：
Weitz, Joshua S.
影响因子：
8.8
作者：
Cohen, Jeremy M.;Venesky, Matthew D.;Rohr, Jason R.
通讯作者：
Rohr, Jason R.
DOI：
10.1073/pnas.1420347112
发表时间：
2015-04-28
影响因子：
11.1
作者：
Avrani, Sarit;Lindell, Debbie
通讯作者：
Lindell, Debbie
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y