2022
DOI: 10.1101/2022.10.01.510451
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Top-heavy trophic structure within benthic viral dark matter

Abstract: Viruses exert considerable influence on microbial population dynamics and community structure, with cascading effects on ecosystem-scale biogeochemical cycling and functional trajectories. Creating broadly generalizable theory on viral trophic ecology requires further inquiry into historically unexplored microbial systems that currently lack empirically demonstrated patterns in viral infectivity, such as structurally complex benthic communities. This becomes increasingly relevant considering recently proposed … Show more

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Cited by 4 publications
(13 citation statements)
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“…Samples were collected from a single macroscopically decaying cyanobacterial mat individual found on sediment at 12.6m depth for molecular inference of viral infection dynamics (micropredation) associated with visible mat decay (Appendix S1: Figure S3). Meta’omic sequencing-based approaches provide robust indirect quantification of trophic interaction direction and strength for viruses of cellular microorganisms (Coutinho et al 2017, Cissell and McCoy 2022a). Samples were collected on 04 June 2019 at 09:58 Atlantic Standard Time from 3 points across an imaginary transect spanning the senescing mat individual, including samples from the following mat areas: the visibly healthy portion of the mat (hereafter ‘ Living ’), the mat area at the immediate edge between healthy and senescent mat biomass (hereafter ‘ Border ’), and the visibly senescent portion of the mat (hereafter ‘ Decay ’).…”
Section: Methodsmentioning
confidence: 99%
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“…Samples were collected from a single macroscopically decaying cyanobacterial mat individual found on sediment at 12.6m depth for molecular inference of viral infection dynamics (micropredation) associated with visible mat decay (Appendix S1: Figure S3). Meta’omic sequencing-based approaches provide robust indirect quantification of trophic interaction direction and strength for viruses of cellular microorganisms (Coutinho et al 2017, Cissell and McCoy 2022a). Samples were collected on 04 June 2019 at 09:58 Atlantic Standard Time from 3 points across an imaginary transect spanning the senescing mat individual, including samples from the following mat areas: the visibly healthy portion of the mat (hereafter ‘ Living ’), the mat area at the immediate edge between healthy and senescent mat biomass (hereafter ‘ Border ’), and the visibly senescent portion of the mat (hereafter ‘ Decay ’).…”
Section: Methodsmentioning
confidence: 99%
“…TPM normalization utilized the summed length of predicted ORFs on each feature (from Prodigal ), rather than total genomic length for sequence length standardization. Virus-Microbe Activity Ratios (VMARs) were calculated like VMR as described above (Cissell and McCoy 2022a). Abundance-normalized TPM estimates were created by dividing TPM normalized expression data by CPM normalized abundance data obtained from metagenomes (normalization procedure described above).…”
Section: Methodsmentioning
confidence: 99%
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