Patterns of Transcript Abundance of Eukaryotic Biogeochemically-Relevant Genes in the Amazon River Plume

The Amazon River has the largest discharge of all rivers on Earth, and its complex plume system fuels a wide array of biogeochemical processes, across a large area of the western tropical North Atlantic. The plume thus stimulates microbial processes affecting carbon sequestration and nutrient cycles...

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Main Authors: Zielinski, Brian L., Allen, Andrew E., Carpenter, Edward J., Coles, Victoria J., Crump, Byron C., Doherty, Mary, Foster, Rachel A., Goes, Joaquim I., Gomes, Helga R., Hood, Raleigh R., McCrow, John P., Montoya, Joseph P., Moustafa, Ahmed, Satinsky, Brandon M., Sharma, Shalabh, Smith, Christa B., Yager, Patricia L., Paul, John H.
Format: Article in Journal/Newspaper
Language:English
Published: 2016
Subjects:
Online Access:https://doi.org/10.7916/D8WW7HX1
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spelling ftcolumbiauniv:oai:academiccommons.columbia.edu:10.7916/D8WW7HX1 2023-05-15T17:37:02+02:00 Patterns of Transcript Abundance of Eukaryotic Biogeochemically-Relevant Genes in the Amazon River Plume Zielinski, Brian L. Allen, Andrew E. Carpenter, Edward J. Coles, Victoria J. Crump, Byron C. Doherty, Mary Foster, Rachel A. Goes, Joaquim I. Gomes, Helga R. Hood, Raleigh R. McCrow, John P. Montoya, Joseph P. Moustafa, Ahmed Satinsky, Brandon M. Sharma, Shalabh Smith, Christa B. Yager, Patricia L. Paul, John H. 2016 https://doi.org/10.7916/D8WW7HX1 English eng https://doi.org/10.7916/D8WW7HX1 Genetic transcription Gene expression--Research Eukaryotic cells--Genetics Genetics Articles 2016 ftcolumbiauniv https://doi.org/10.7916/D8WW7HX1 2019-04-04T08:15:05Z The Amazon River has the largest discharge of all rivers on Earth, and its complex plume system fuels a wide array of biogeochemical processes, across a large area of the western tropical North Atlantic. The plume thus stimulates microbial processes affecting carbon sequestration and nutrient cycles at a global scale. Chromosomal gene expression patterns of the 2.0 to 156 μm size-fraction eukaryotic microbial community were investigated in the Amazon River Plume, generating a robust dataset (more than 100 million mRNA sequences) that depicts the metabolic capabilities and interactions among the eukaryotic microbes. Combining classical oceanographic field measurements with metatranscriptomics yielded characterization of the hydrographic conditions simultaneous with a quantification of transcriptional activity and identity of the community. We highlight the patterns of eukaryotic gene expression for 31 biogeochemically significant gene targets hypothesized to be valuable within forecasting models. An advantage to this targeted approach is that the database of reference sequences used to identify the target genes was selectively constructed and highly curated optimizing taxonomic coverage, throughput, and the accuracy of annotations. A coastal diatom bloom highly expressed nitrate transporters and carbonic anhydrase presumably to support high growth rates and enhance uptake of low levels of dissolved nitrate and CO2. Diatom-diazotroph association (DDA: diatoms with nitrogen fixing symbionts) blooms were common when surface salinity was mesohaline and dissolved nitrate concentrations were below detection, and hence did not show evidence of nitrate utilization, suggesting they relied on ammonium transporters to aquire recently fixed nitrogen. These DDA blooms in the outer plume had rapid turnover of the photosystem D1 protein presumably caused by photodegradation under increased light penetration in clearer waters, and increased expression of silicon transporters as silicon became limiting. Expression of these genes, including carbonic anhydrase and transporters for nitrate and phosphate, were found to reflect the physiological status and biogeochemistry of river plume environments. These relatively stable patterns of eukaryotic transcript abundance occurred over modest spatiotemporal scales, with similarity observed in sample duplicates collected up to 2.45 km in space and 120 minutes in time. These results confirm the use of metatranscriptomics as a valuable tool to understand and predict microbial community function. Article in Journal/Newspaper North Atlantic Columbia University: Academic Commons
institution Open Polar
collection Columbia University: Academic Commons
op_collection_id ftcolumbiauniv
language English
topic Genetic transcription
Gene expression--Research
Eukaryotic cells--Genetics
Genetics
spellingShingle Genetic transcription
Gene expression--Research
Eukaryotic cells--Genetics
Genetics
Zielinski, Brian L.
Allen, Andrew E.
Carpenter, Edward J.
Coles, Victoria J.
Crump, Byron C.
Doherty, Mary
Foster, Rachel A.
Goes, Joaquim I.
Gomes, Helga R.
Hood, Raleigh R.
McCrow, John P.
Montoya, Joseph P.
Moustafa, Ahmed
Satinsky, Brandon M.
Sharma, Shalabh
Smith, Christa B.
Yager, Patricia L.
Paul, John H.
Patterns of Transcript Abundance of Eukaryotic Biogeochemically-Relevant Genes in the Amazon River Plume
topic_facet Genetic transcription
Gene expression--Research
Eukaryotic cells--Genetics
Genetics
description The Amazon River has the largest discharge of all rivers on Earth, and its complex plume system fuels a wide array of biogeochemical processes, across a large area of the western tropical North Atlantic. The plume thus stimulates microbial processes affecting carbon sequestration and nutrient cycles at a global scale. Chromosomal gene expression patterns of the 2.0 to 156 μm size-fraction eukaryotic microbial community were investigated in the Amazon River Plume, generating a robust dataset (more than 100 million mRNA sequences) that depicts the metabolic capabilities and interactions among the eukaryotic microbes. Combining classical oceanographic field measurements with metatranscriptomics yielded characterization of the hydrographic conditions simultaneous with a quantification of transcriptional activity and identity of the community. We highlight the patterns of eukaryotic gene expression for 31 biogeochemically significant gene targets hypothesized to be valuable within forecasting models. An advantage to this targeted approach is that the database of reference sequences used to identify the target genes was selectively constructed and highly curated optimizing taxonomic coverage, throughput, and the accuracy of annotations. A coastal diatom bloom highly expressed nitrate transporters and carbonic anhydrase presumably to support high growth rates and enhance uptake of low levels of dissolved nitrate and CO2. Diatom-diazotroph association (DDA: diatoms with nitrogen fixing symbionts) blooms were common when surface salinity was mesohaline and dissolved nitrate concentrations were below detection, and hence did not show evidence of nitrate utilization, suggesting they relied on ammonium transporters to aquire recently fixed nitrogen. These DDA blooms in the outer plume had rapid turnover of the photosystem D1 protein presumably caused by photodegradation under increased light penetration in clearer waters, and increased expression of silicon transporters as silicon became limiting. Expression of these genes, including carbonic anhydrase and transporters for nitrate and phosphate, were found to reflect the physiological status and biogeochemistry of river plume environments. These relatively stable patterns of eukaryotic transcript abundance occurred over modest spatiotemporal scales, with similarity observed in sample duplicates collected up to 2.45 km in space and 120 minutes in time. These results confirm the use of metatranscriptomics as a valuable tool to understand and predict microbial community function.
format Article in Journal/Newspaper
author Zielinski, Brian L.
Allen, Andrew E.
Carpenter, Edward J.
Coles, Victoria J.
Crump, Byron C.
Doherty, Mary
Foster, Rachel A.
Goes, Joaquim I.
Gomes, Helga R.
Hood, Raleigh R.
McCrow, John P.
Montoya, Joseph P.
Moustafa, Ahmed
Satinsky, Brandon M.
Sharma, Shalabh
Smith, Christa B.
Yager, Patricia L.
Paul, John H.
author_facet Zielinski, Brian L.
Allen, Andrew E.
Carpenter, Edward J.
Coles, Victoria J.
Crump, Byron C.
Doherty, Mary
Foster, Rachel A.
Goes, Joaquim I.
Gomes, Helga R.
Hood, Raleigh R.
McCrow, John P.
Montoya, Joseph P.
Moustafa, Ahmed
Satinsky, Brandon M.
Sharma, Shalabh
Smith, Christa B.
Yager, Patricia L.
Paul, John H.
author_sort Zielinski, Brian L.
title Patterns of Transcript Abundance of Eukaryotic Biogeochemically-Relevant Genes in the Amazon River Plume
title_short Patterns of Transcript Abundance of Eukaryotic Biogeochemically-Relevant Genes in the Amazon River Plume
title_full Patterns of Transcript Abundance of Eukaryotic Biogeochemically-Relevant Genes in the Amazon River Plume
title_fullStr Patterns of Transcript Abundance of Eukaryotic Biogeochemically-Relevant Genes in the Amazon River Plume
title_full_unstemmed Patterns of Transcript Abundance of Eukaryotic Biogeochemically-Relevant Genes in the Amazon River Plume
title_sort patterns of transcript abundance of eukaryotic biogeochemically-relevant genes in the amazon river plume
publishDate 2016
url https://doi.org/10.7916/D8WW7HX1
genre North Atlantic
genre_facet North Atlantic
op_relation https://doi.org/10.7916/D8WW7HX1
op_doi https://doi.org/10.7916/D8WW7HX1
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