Dataset: Gene expression profiles for Neocalanus flemingeri pre adults (CV) exposed to four different experimental food conditions collected from the M/V Dora in the Gulf of Alaska at station GAK1 from April 2019

Final no updates expectedDOI: 10.26008/1912/bco-dmo.914459.1Version 1 (2024-05-30)Dataset Type:experimentalDataset Type:Other Field Results

Principal Investigator, Contact: Petra H. Lenz (University of Hawaiʻi at Mānoa)

Scientist: Daniel K. Hartline (University of Hawaiʻi at Mānoa)

Scientist: Jeanette L. Niestroy (University of Hawaiʻi at Mānoa)

Scientist: Vittoria Roncalli (University of Hawaiʻi at Mānoa)

Student: Lauren N Block (University of Hawaiʻi at Mānoa)

Technician, Data Manager: Matthew C. Cieslak (University of Hawaiʻi at Mānoa)

BCO-DMO Data Manager: Lynne M. Merchant (Woods Hole Oceanographic Institution)


Project: Collaborative Research: Molecular profiling of the ecophysiology of dormancy induction in calanid copepods of the Northern Gulf of Alaska LTER site (Diapause preparation)


Abstract

This experimental dataset includes relative expression of individual Neocalanus flemingeri stage CV individuals incubated for different lengths of time and four different food treatments. The experimental protocol and results are described in detail in Roncalli et al., 2023. Briefly, field-collected N. flemingeri were allowed to molt into stage CV and then sorted into four different treatments: no food, low carbon, high carbon and high carbon with diatoms. After a one-week incubation, individual...

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Citations

These data are further described in the following publications:

Roncalli, V., Block, L. N., Niestroy, J. L., Cieslak, M. C., Castelfranco, A. M., Hartline, D. K., & Lenz, P. H. (2023). Experimental analysis of development, lipid accumulation and gene expression in a high-latitude marine copepod. Journal of Plankton Research, 45(6), 885–898. https://doi.org/10.1093/plankt/fbad045

Roncalli, V., Cieslak, M. C., Germano, M., Hopcroft, R. R., & Lenz, P. H. (2019). Regional heterogeneity impacts gene expression in the subarctic zooplankter Neocalanus flemingeri in the northern Gulf of Alaska. Commun Biology, 2(1). https://doi.org/10.1038/s42003-019-0565-5


Related Datasets

IsRelatedTo

Dataset: Gulf of Alaska copepods: annotated transcriptomes
Hartline, D. K., Lenz, P. H., Cieslak, M. C. (2024) Annotated de novo transcriptomes generated from six co-occurring species of calanoid copepods from the R/V Tiglax TXF18, TXS19, TXF15, TXF17 in the Gulf of Alaska from 2015-2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-07-02 doi:10.26008/1912/bco-dmo.908689.1
IsRelatedTo

Dataset: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA496596
University of Hawaii at Manoa (2018). Neocalanus flemingeri, Neocalanus flemingeri pre adult (CV). 2018/10. NCBI:BioProject: PRJNA496596 [Internet]. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; Available from: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA496596.
IsRelatedTo

Dataset: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA807352
University of Hawaii at Manoa (2022). Neocalanus flemingeri, Response to food availability in pre-adult Neocalanus flemingeri. 2022/02. NCBI:BioProject: PRJNA807352.[Internet]. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; Available from: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA807352.

Related Publications

Results

Roncalli, V., Cieslak, M. C., Germano, M., Hopcroft, R. R., & Lenz, P. H. (2019). Regional heterogeneity impacts gene expression in the subarctic zooplankter Neocalanus flemingeri in the northern Gulf of Alaska. Communications Biology, 2(1). https://doi.org/10.1038/s42003-019-0565-5
Methods

Bray, N. L., Pimentel, H., Melsted, P., & Pachter, L. (2016). Near-optimal probabilistic RNA-seq quantification. Nature Biotechnology, 34(5), 525–527. https://doi.org/10.1038/nbt.3519
Methods

Kopylova, E., Noé, L., & Touzet, H. (2012). SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data. Bioinformatics, 28(24), 3211–3217. https://doi.org/10.1093/bioinformatics/bts611
Methods

Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009). Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biology, 10(3), R25. https://doi.org/10.1186/gb-2009-10-3-r25
Methods

Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008). Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nature Methods, 5(7), 621–628. https://doi.org/10.1038/nmeth.1226