Publications by authors named "Ella Sieradzki"

Soil microbial communities perform critical ecosystem services through the collective metabolic activities of numerous individual organisms. Most microbes use corrinoids, a structurally diverse family of cofactors related to vitamin B12. Corrinoid structure influences the growth of individual microbes, yet how these growth responses scale to the community level remains unknown.

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Soil microbial communities perform critical ecosystem services through the collective metabolic activities of numerous individual organisms. Most microbes use corrinoids, a structurally diverse family of cofactors related to vitamin B. Corrinoid structure influences the growth of individual microbes, yet how these growth responses scale to the community level remains unknown.

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Viruses contribute to food web dynamics and nutrient cycles in diverse ecosystems, yet the biogeographical patterns that underlie these viral dynamics are poorly understood, particularly in soil. Here, we identified trends in soil viral community composition in relation to habitat, moisture content, and physical distance. We generated 30 soil viromes from four distinct habitats (wetlands, grasslands, woodlands, and chaparral) by selectively capturing virus-sized particles prior to DNA extraction, and we recovered 3432 unique viral 'species' (dsDNA vOTUs).

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Plant roots modulate microbial nitrogen (N) cycling by regulating the supply of root-derived carbon and nitrogen uptake. These differences in resource availability cause distinct micro-habitats to develop: soil near living roots, decaying roots, near both, or outside the direct influence of roots. While many environmental factors and genes control the microbial processes involved in the nitrogen cycle, most research has focused on single genes and pathways, neglecting the interactive effects these pathways have on each other.

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Viruses are abundant, ubiquitous members of soil communities that kill microbial cells, but how they respond to perturbation of soil ecosystems is essentially unknown. Here, we investigate lineage-specific virus-host dynamics in grassland soil following "wet-up", when resident microbes are both resuscitated and lysed after a prolonged dry period. Quantitative isotope tracing, time-resolved metagenomics and viromic analyses indicate that dry soil holds a diverse but low biomass reservoir of virions, of which only a subset thrives following wet-up.

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Article Synopsis
  • Nitrogen is often a limiting factor for plant growth due to most of it being in forms that plants can't easily absorb, and microbes play a key role in breaking down these compounds to release usable nitrogen.
  • The study analyzed gene expression related to nitrogen depolymerization in different soil habitats over time, finding that certain microbes, particularly proteases, showed varying levels of activity based on environmental factors such as the presence of roots.
  • Results indicated that specific microbial taxa could enhance nitrogen availability for plants, suggesting that understanding these interactions can inform strategies for improving plant nitrogen absorption in agricultural practices.
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Ammonia-oxidising archaea (AOA) are a ubiquitous component of microbial communities and dominate the first stage of nitrification in some soils. While we are beginning to understand soil virus dynamics, we have no knowledge of the composition or activity of those infecting nitrifiers or their potential to influence processes. This study aimed to characterise viruses having infected autotrophic AOA in two nitrifying soils of contrasting pH by following transfer of assimilated CO-derived C from host to virus via DNA stable-isotope probing and metagenomic analysis.

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The growth and physiology of soil microorganisms, which play vital roles in biogeochemical cycling, are shaped by both current and historical soil environmental conditions. Here, we developed and applied a genome-resolved metagenomic implementation of quantitative stable isotope probing (qSIP) with an HO labeling experiment to identify actively growing soil microorganisms and their genomic capacities. qSIP enabled measurement of taxon-specific growth because isotopic incorporation into microbial DNA requires production of new genome copies.

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The concentration of atmospheric methane (CH) continues to increase with microbial communities controlling soil-atmosphere fluxes. While there is substantial knowledge of the diversity and function of prokaryotes regulating CH production and consumption, their active interactions with viruses in soil have not been identified. Metagenomic sequencing of soil microbial communities enables identification of linkages between viruses and hosts.

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Bacterial biodegradation is a significant contributor to remineralization of polycyclic aromatic hydrocarbons (PAHs)-toxic and recalcitrant components of crude oil as well as by-products of partial combustion chronically introduced into seawater via atmospheric deposition. The Deepwater Horizon oil spill demonstrated the speed at which a seed PAH-degrading community maintained by chronic inputs responds to acute pollution. We investigated the diversity and functional potential of a similar seed community in the chronically polluted Port of Los Angeles (POLA), using stable isotope probing with naphthalene, deep-sequenced metagenomes, and carbon incorporation rate measurements at the port and in two sites in the San Pedro Channel.

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Article Synopsis
  • Predation plays a crucial role in ecosystems, impacting food webs, energy flow, and nutrient cycling, though most research has focused on larger predators rather than microscopic ones like bacteria.
  • This study found that obligate predatory bacteria exhibited significantly higher growth and carbon uptake (36% and 211% more, respectively) compared to nonpredatory bacteria across various environments, while facultative predators showed only slightly enhanced rates.
  • The research indicates that increased energy flow in microbial communities boosts the role of predatory bacteria, suggesting that more productive environments lead to stronger predatory influence on lower trophic levels.
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  • Quantitative stable isotope probing (qSIP) measures how individual microbes absorb isotopes into their DNA, helping link microbial diversity to biogeochemical processes in complex environments like soil and seawater.
  • The study highlights the impact of organism abundance and the number of density fractions used in qSIP experiments on the variance of isotope incorporation estimates, with findings indicating that using about nine fractions balances cost and precision effectively.
  • The research also underscores the importance of internal standards for accurate data interpretation and suggests guidelines to enhance the reliability of future qSIP experiments, particularly in the context of resource constraints in metagenomics.
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Viruses provide top-down control on microbial communities, yet their direct study in natural environments was hindered by culture limitations. The advance of bioinformatics enables cultivation-independent study of viruses. Many studies assemble new viral genomes and study viral diversity using marker genes from free viruses.

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The most abundant and ubiquitous microbes in the surface ocean use light as an energy source, capturing it via complex chlorophyll-based photosystems or simple retinal-based rhodopsins. Studies in various ocean regimes compared the abundance of these mechanisms, but few investigated their expression. Here we present the first full seasonal study of abundance and expression of light-harvesting mechanisms (proteorhodopsin, PR; aerobic anoxygenic photosynthesis, AAnP; and oxygenic photosynthesis, PSI) from deep-sequenced metagenomes and metatranscriptomes of marine picoplankton (<1 µm) at three coastal stations of the San Pedro Channel in the Pacific Ocean.

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Mock communities have been used in microbiome method development to help estimate biases introduced in PCR amplification and sequencing and to optimize pipeline outputs. Nevertheless, the strong value of routine mock community analysis beyond initial method development is rarely, if ever, considered. Here we report that our routine use of mock communities as internal standards allowed us to discover highly aberrant and strong biases in the relative proportions of multiple taxa in a single Illumina HiSeqPE250 run.

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