Literature DB >> 35652650

Metatranscriptomic Sequencing of Winter and Spring Planktonic Communities from Lake Erie, a Laurentian Great Lake.

Brittany N Zepernick1, Elizabeth R Denison1, Justin D Chaffin2, George S Bullerjahn3, Christa P Pennacchio4, Thijs Frenken5, Daniel H Peck3, James T Anderson6, Derek Niles7, Arthur Zastepa8, R Michael L McKay5, Steven W Wilhelm1.   

Abstract

Previous reports suggest planktonic and under-ice winter microbial communities in Lake Erie are dominated by diatoms. Here, we report the assembled metatranscriptomes of 79 Lake Erie surface water microbial communities spanning both the winter (28 samples) and spring (51 samples) months over spatial, temporal, and climatic gradients in 2019 through 2020.

Entities:  

Year:  2022        PMID: 35652650      PMCID: PMC9302102          DOI: 10.1128/mra.00351-22

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

Lake Erie’s winter phytoplankton blooms have been documented for decades (1), and recent studies have revealed that these communities are dominated by centric, colonial diatoms, including Aulacoseira islandica and Stephanodiscus binderanus (2–4). However, the ecophysiology of these blooms and comprehensive analyses of the winter community have received limited attention (5). Here, we report 28 winter and 51 spring Lake Erie metatranscriptomes collected across spatial, temporal, and climatic gradients in an effort to address these knowledge gaps. Opportunistic samples were collected by U.S. Coast Guard Cutter Neah Bay between February and March in 2019 and 2020 (6). Additional spring samples were collected in May and June of these same years by Canadian Coast Guard Ship (CCGS) Limnos and M/V Orange Apex, respectively. Sampling occurred in both the western and central basins of Lake Erie. Water column parameters were recorded prior to each sampling, along with meteorological conditions and ice cover. The samples were additionally analyzed for nutrient concentrations and phytoplankton taxonomy (7). Water column samples and plankton net concentrated samples were immediately processed onboard ship. Briefly, the samples were filtered through 0.22-μm nominal pore-size filters, flash-frozen, and stored at −80°C until extraction. RNA was extracted using standard phenol-chloroform methods with ethanol precipitation (8). Remaining DNA in samples was digested via a modified version of the Turbo DNase protocol using the Turbo DNA-free kit (Ambion). The samples were determined to be DNA-free via the absence of a band in the agarose gel after PCR amplification (initial denaturation at 95°C for 5 min, denaturation at 95°C for 45 s, annealing at 50°C for 45 s, and elongation at 72°C for 30 s; then repeat steps 2 through 4 for 30 cycles; and final elongation at 72°C for 10 min) using 519F/785R 16S rRNA primers (519F-CAG-CMG-CCG-CGG-TAA and 785R-TAC-NVG-GGT-ATC-TAA-TCC) with Escherichia coli K-12 MG1655 DNA as the positive control. The samples were quantified using the Qubit RNA HS assay kit (Invitrogen) and sent to the Department of Energy Joint Genome Institute for rRNA reduction and sequencing using an Illumina NovaSeq S4 2 × 151-nucleotide indexed run protocol (~15 million, 150-bp paired-end reads/sample). The reads were filtered using BBDuk (v38.92) (9) to remove (i) contaminants, (ii) adapters, (iii) homopolymers of Gs of size 5 or more, (iv) right read segments where quality was 0, (v) reads with N bases, and (vi) reads with an average quality score less than 10, or minimum length of ≤51 bp or 33% of the full length. BBMap (v38.86) (9) removed contaminants (93% identity) and rRNA. Filtered reads were assembled using MEGAHIT (version 1.2.9) (–k-list 23, 43, 63, 83, 103, and 123) (10). The reads were then mapped to assembled contigs using BBMap (ambiguous = random). The assemblies were annotated using the IMG Annotation Pipeline (version 5.0.25) (11). Taxonomic annotation of protein coding sequences (CDS) by IMG confirmed diatoms were a transcriptionally active component of the winter microbiome in this Laurentian Great Lake. CDS genes annotated as classes Coscinodiscophyceae (centric) and Bacillariophyceae (raphid, pennate) were highly represented relative to other photosynthetic eukaryotes (Table 1). Considering that winters of 2019 (near-maximum ice) and 2020 (negligible ice) spanned extremes in ice cover for Lake Erie, these metatranscriptomes offer a unique opportunity to investigate the influence of climate change on freshwater winter communities.
TABLE 1

Assembly and annotation statistics for the 28 winter metatranscriptome samples

Sample IDDate sampledLatitudeLongitudeIce cover (%)No. of filtered readsNo. of filtered basesNo. of mapped readsN50 (bp)No. of contigsGC content (%)No. of CDS genesCDS genes (%)CDS genes with product name (%)Diatom CDS genes (%)IMG taxon no.
LE126 February 201941.839333−82.521510011,544,5481,665,668,1408,377,03216,75952,54043.856,89597.643.948.3 3300048991
LE226 February 201941.806−82.3838331007,083,1561,011,185,9834,982,8859,23527,66443.929,72497.746.730.8 3300048992
LE311 March 201941.7497−81.835210010,264,9081,470,363,2897,565,03016,50951,87343.757,11598.841.626.8 3300048940
LE611 March 201941.8658−82.6407906,128,706869,504,9573,646,3619,34628,09345.830,29397.147.740.6 3300048941
LE402 March 202041.6659−82.079106,888,818995,709,6954,064,13614,19945,11145.451,47597.754.833.7 3300048958
LE41 + 472 March 202041.6659−82.079109,116,4941,312,285,3295,687,92521,18565,08747.273,44797.957.131.6 3300048962
LE42 + 462 March 202041.6659−82.351607,883,7201,133,508,9516,467,1466,73122,60843.623,82397.235.549.1 3300048961
LE432 March 202041.7703−82.351609,286,7701,345,983,7245,897,71221,70568,99944.478,97598.653.926.0 3300048959
LE442 March 202041.7703−82.351607,421,0021,069,834,8546,538,4734,14613,79441.814,53498.834.44.4 3300048960
LE45 + 502 March 202041.7703−82.351606,743,964986,547,8614,087,43618,89558,40646.465,87498.656.520.6 3300048964
LE482 March 202041.7703−82.351608,920,7121,297,708,1318,159,4315,75221,04141.322,11899.036.75.6 3300048963
LE49 + 5714 February 202041.8285−82.501109,012,5221,324,397,7476,390,37819,31961,68448.169,32698.152.857.6 3300048969
LE5214 February 202041.8285−82.5011015,967,8062,351,814,42711,871,68532,332106,15748.1121,47598.651.260.0 3300048965
LE5314 February 202041.7385−82.274309,658,8121,417,270,6726,620,17222,23972,11145.881,71798.755.132.7 3300048966
LE5414 February 202041.6662−82.081607,508,2921,102,118,1245,023,50716,76553,96848.160,67198.353.226.7 3300048967
LE5614 February 202041.6662−82.0816010,823,2361,585,334,8657,226,40024,72881,86845.792,05998.651.521.7 3300048968
LE5814 February 202041.7385−82.274307,836,7581,148,311,8465,285,42918,62960,48245.068,22598.853.234.8 3300048970
LE5914 February 202041.6662−82.081609,799,8161,430,143,7498,060,4535,51123,39040.724,51598.438.314.0 3300048971
LE6014 February 202041.6662−82.081608,010,4481,172,858,0037,226,2975,26421,39741.022,52798.638.015.3 3300048972
LE61 + 6514 February 202041.8285−82.5011013,876,1782,045,695,60312,471,48712,04045,53542.848,80698.736.453.3 3300049106
LE6214 February 202041.6662−82.081609,406,1781,382,568,1838,449,0707,51933,46040.334,87398.937.321.8 3300048973
LE6314 February 202041.7385−82.274308,736,1181,285,818,7227,914,1887,33932,40939.833,14999.435.823.2 3300048974
LE6414 February 202041.6662−82.081608,906,0561,311,732,5787,926,6708,02334,28440.535,76299.036.826.8 3300049105
LE6614 February 202041.7385−82.274306,699,384985,455,8736,019,4946,11026,18640.127,36099.436.220.2 3300049107
LE67 + 7014 February 202041.8285−82.501107,502,1201,107,179,2496,648,4209,91535,13442.837,59498.835.955.2 3300049110
LE6814 February 202041.6662−82.081608,417,2461,235,833,8657,515,9137,36832,47040.433,69799.037.620.9 3300049108
LE6914 February 202041.7385−82.274309,025,9141,331,601,9738,118,3397,55334,12539.534,72899.334.624.1 3300049109
LE7114 February 202041.8285−82.5011011,197,7961,647,924,98310,027,99111,41041,26643.043,99698.735.956.1 3300049111

Phylogenetic distribution of genes determined by best BLAST hit of coding sequence (CDS) genes at ≥60% identity. The percentage of diatom CDS genes within the eukaryotic CDS genes is reported. Sample IDs consisting of two numbers are indicative of the pooling of the biological replicates.

Assembly and annotation statistics for the 28 winter metatranscriptome samples Phylogenetic distribution of genes determined by best BLAST hit of coding sequence (CDS) genes at ≥60% identity. The percentage of diatom CDS genes within the eukaryotic CDS genes is reported. Sample IDs consisting of two numbers are indicative of the pooling of the biological replicates.

Data availability.

Sequences are available through the JGI Genomes Online Database (GOLD) under GOLD Study ID Gs0142002. Assembly and annotation statistics are presented in Table 1. Environmental metadata are available at the Biological and Chemical Oceanography Data Management Office (BCO-DMO).
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