Project description:To gain improved temporal, spatial and phylogenetic resolution of marine microbial communities, in this study we expanded the original prototype genome proxy array (an oligonucleotide microarray targeting marine microbial genome fragments and genomes), evaluated it against metagenomic sequencing, and applied it to time series samples from the Monterey Bay long term ecological research site. The expanded array targeted 268 microbial genotypes (vs. 14 in the original prototype) across much of the known diversity of cultured and uncultured marine microbes. The target abundances measured by the genome proxy array were highly correlated to pyrosequence-based abundances (linear regression R2 = 0.85-0.91, p<0.0001). Fifty-seven samples from ~4-years in Monterey Bay were examined with the array, spanning the photic zone (0m), the base of the surface mixed layer (30m), and the subphotic zone (200m). A significant portion of the expanded genome proxy array’s targets showed signal (95 out of 268 targets present in ≥ 1 sample). The multi-year community survey showed the consistent presence of a core group of common and abundant targeted taxa at each depth in Monterey Bay, higher variability among shallow than deep samples, and episodic occurrences of more transient marine genotypes. The abundance of the most dominant genotypes peaked after strong episodic upwelling events. The genome-proxy array’s ability to track populations of closely-related genotypes indicated population shifts within several abundant target taxa, with specific populations in some cases clustering by depth or oceanographic season. Although 51 cultivated organisms were targeted (representing 19% of the array) the majority of targets detected and of total target signal (85% and ~92%, respectively) were from uncultivated lineages, often those derived from Monterey Bay. The array provided cost-effective (~$15 per array, for construction and use) insights into the natural history of uncultivated lineages in the wild. To gain improved temporal, spatial and phylogenetic resolution of marine microbial communities, in this study we expanded the original prototype genome proxy array (an oligonucleotide microarray targeting marine microbial genome fragments and genomes), evaluated it against metagenomic sequencing, and applied it to time series samples from the Monterey Bay long term ecological research site. The expanded array targeted 268 microbial genotypes (vs. 14 in the original prototype) across much of the known diversity of cultured and uncultured marine microbes. The target abundances measured by the genome proxy array were highly correlated to pyrosequence-based abundances (linear regression R2 = 0.85-0.91, p<0.0001). Fifty-seven samples from ~4-years in Monterey Bay were examined with the array, spanning the photic zone (0m), the base of the surface mixed layer (30m), and the subphotic zone (200m). A significant portion of the expanded genome proxy array’s targets showed signal (95 out of 268 targets present in ≥ 1 sample). The multi-year community survey showed the consistent presence of a core group of common and abundant targeted taxa at each depth in Monterey Bay, higher variability among shallow than deep samples, and episodic occurrences of more transient marine genotypes. The abundance of the most dominant genotypes peaked after strong episodic upwelling events. The genome-proxy array’s ability to track populations of closely-related genotypes indicated population shifts within several abundant target taxa, with specific populations in some cases clustering by depth or oceanographic season. Although 51 cultivated organisms were targeted (representing 19% of the array) the majority of targets detected and of total target signal (85% and ~92%, respectively) were from uncultivated lineages, often those derived from Monterey Bay. The array provided cost-effective (~$15 per array, for construction and use) insights into the natural history of uncultivated lineages in the wild. The expanded genome proxy array was designed as in (Rich et al., 2008). Briefly, each genotype was targeted using suites of ~20 70-mer oligonucleotide probes designed using the program ArrayOligoSelector (Zhu et al., 2003). Probes had approximately the same %GC (40%) and were distributed across the target genome or genome fragment, with no more than one probe per gene and avoiding 16S and 23S rRNA genes. The array included positive and negative control probes designed using the same method, to Halobacterium salinarum NRC-1 and a random genome sequence, respectively. The expanded array had a broader scope than the prototype of Rich et al., 2008 (268 target genotypes, as opposed to the prototype’s 14) and included a co-spot oligo for spot alignment and gridding purposes (using the “alien” oligo sequence of (Urisman et al., 2005). The targets were selected from fully-sequenced marine microbial genomes, publicly-available marine-derived BAC and fosmid clone sequences, and fully-sequenced clones from the lab’s Monterey Bay and Hawaii environmental BAC- and fosmid-based genomic libraries. Targeted genotypes are detailed in Table S1, summarized in Table S2, and presented in a schematic phylogenetic overview in Fig. 1. Previously-unpublished sequences used for array design were submitted to Genbank under accession numbers GU474833-GU474949. This submission presents the analysis of 57 samples, each hybridized to >= 3 arrays. In addition to negative control probes, for each hyrbdization date and run a negative control array was hyrbdized for which the input DNA was TE, taken through the entire aplification, labeling, and hybridization process.

Project description:Microbes are responsible for cycling carbon (C) through soils, and predicted changes in soil C stocks under climate change are highly sensitive to shifts in the mechanisms assumed to control the microbial physiological response to warming. Two mecha-nisms have been suggested to explain the long-term warming impact on microbial physiology: microbial thermal acclimation and changes in the quantity and quality of substrates available for microbial metabolism. Yet studies disentangling these two mechanisms are lacking. To resolve the drivers of changes in microbial physiology in response to long-term warming, we sampled soils from 13- and 28-year- old soil warming experiments in different seasons. We performed short-term laboratory incubations across a range of temperatures to measure the relationships between temperature sensitivity of physiology (growth, respiration, carbon use efficiency, and extracellular enzyme activity) and the chemical composition of soil organic matter. We observed apparent thermal acclimation of microbial respiration, but only in sum-mer, when warming had exacerbated the seasonally-induced, already small dissolved organic matter pools. Irrespective of warming, greater quantity and quality of soil carbon increased the extracellular enzymatic pool and its temperature sensitivity. We propose that fresh litter input into the system seasonally cancels apparent thermal acclimation of C-cycling processes to decadal warming. Our findings reveal that long-term warming has indirectly affected microbial physiology via reduced C availability in this system, implying that earth system models including these negative feedbacks may be best suited to describe long-term warming effects on these soils. Citation: Domeignoz-Horta LA, Pold G, Erb H, Sebag D, Verrecchia E, Northen T, Louie K, Eloe-Fadrosh E, Pennacchio C, Knorr MA, Frey SD, Melillo JM, DeAngelis KM. Substrate availability and not thermal acclimation controls microbial temperature sensitivity response to long-term warming. Glob Chang Biol. 2023 Mar;29(6):1574-1590. doi: 10.1111/gcb.16544. The work (proposal:https://doi.org/10.46936/10.25585/60001340) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.

Project description:To gain improved temporal, spatial and phylogenetic resolution of marine microbial communities, in this study we expanded the original prototype genome proxy array (an oligonucleotide microarray targeting marine microbial genome fragments and genomes), evaluated it against metagenomic sequencing, and applied it to time series samples from the Monterey Bay long term ecological research site. The expanded array targeted 268 microbial genotypes (vs. 14 in the original prototype) across much of the known diversity of cultured and uncultured marine microbes. The target abundances measured by the genome proxy array were highly correlated to pyrosequence-based abundances (linear regression R2 = 0.85-0.91, p<0.0001). Fifty-seven samples from ~4-years in Monterey Bay were examined with the array, spanning the photic zone (0m), the base of the surface mixed layer (30m), and the subphotic zone (200m). A significant portion of the expanded genome proxy array’s targets showed signal (95 out of 268 targets present in ≥ 1 sample). The multi-year community survey showed the consistent presence of a core group of common and abundant targeted taxa at each depth in Monterey Bay, higher variability among shallow than deep samples, and episodic occurrences of more transient marine genotypes. The abundance of the most dominant genotypes peaked after strong episodic upwelling events. The genome-proxy array’s ability to track populations of closely-related genotypes indicated population shifts within several abundant target taxa, with specific populations in some cases clustering by depth or oceanographic season. Although 51 cultivated organisms were targeted (representing 19% of the array) the majority of targets detected and of total target signal (85% and ~92%, respectively) were from uncultivated lineages, often those derived from Monterey Bay. The array provided cost-effective (~$15 per array, for construction and use) insights into the natural history of uncultivated lineages in the wild. To gain improved temporal, spatial and phylogenetic resolution of marine microbial communities, in this study we expanded the original prototype genome proxy array (an oligonucleotide microarray targeting marine microbial genome fragments and genomes), evaluated it against metagenomic sequencing, and applied it to time series samples from the Monterey Bay long term ecological research site. The expanded array targeted 268 microbial genotypes (vs. 14 in the original prototype) across much of the known diversity of cultured and uncultured marine microbes. The target abundances measured by the genome proxy array were highly correlated to pyrosequence-based abundances (linear regression R2 = 0.85-0.91, p<0.0001). Fifty-seven samples from ~4-years in Monterey Bay were examined with the array, spanning the photic zone (0m), the base of the surface mixed layer (30m), and the subphotic zone (200m). A significant portion of the expanded genome proxy array’s targets showed signal (95 out of 268 targets present in ≥ 1 sample). The multi-year community survey showed the consistent presence of a core group of common and abundant targeted taxa at each depth in Monterey Bay, higher variability among shallow than deep samples, and episodic occurrences of more transient marine genotypes. The abundance of the most dominant genotypes peaked after strong episodic upwelling events. The genome-proxy array’s ability to track populations of closely-related genotypes indicated population shifts within several abundant target taxa, with specific populations in some cases clustering by depth or oceanographic season. Although 51 cultivated organisms were targeted (representing 19% of the array) the majority of targets detected and of total target signal (85% and ~92%, respectively) were from uncultivated lineages, often those derived from Monterey Bay. The array provided cost-effective (~$15 per array, for construction and use) insights into the natural history of uncultivated lineages in the wild.

			Action	DRS
	SRR24334100.fastq.gz	Fastqsanger.gz
	SRR24334200.fastq.gz	Fastqsanger.gz
	SRR24334300.fastq.gz	Fastqsanger.gz
	SRR24334400.fastq.gz	Fastqsanger.gz
	SRR24334500.fastq.gz	Fastqsanger.gz

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