Evidence map›Paper›PMID 37704968›Full record

ArticleBMC genomics2023

A scaffolded and annotated reference genome of giant kelp (Macrocystis pyrifera).

Jose Diesel, Gary Molano, Gabriel J Montecinos, Kelly DeWeese, Sara Calhoun, Alan Kuo, Anna Lipzen, Asaf Salamov, Igor V Grigoriev, Daniel C Reed and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 24 citations in OpenAlex.

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  12. Insights from farmingbioRxiv : the preprint server for biology · 2025
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  15. Metagenome-assembled genomes ofMicrobiology resource announcements · 2024
    Article
  16. Article
  17. The mutation atlas of giant kelp (Frontiers in plant science · 2024
    Article
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 1 country.

Jose Diesel *Department of Molecular and Computational Biology, University of Southern California, Los Angeles, CA, USA.
Gary Molano *Department of Molecular and Computational Biology, University of Southern California, Los Angeles, CA, USA.
Gabriel J MontecinosDepartment of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Kelly DeWeeseDepartment of Molecular and Computational Biology, University of Southern California, Los Angeles, CA, USA.
Sara CalhounU.S. Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Alan KuoU.S. Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Anna LipzenU.S. Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Asaf SalamovU.S. Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Igor V GrigorievU.S. Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Daniel C ReedMarine Science Institute, University of California at Santa Barbara, Santa Barbara, CA, 93106, USA.
Robert J MillerMarine Science Institute, University of California at Santa Barbara, Santa Barbara, CA, 93106, USA.
Sergey V NuzhdinDepartment of Molecular and Computational Biology, University of Southern California, Los Angeles, CA, USA.
Filipe AlbertoDepartment of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA. albertof@uwm.edu.
University of Southern California · USJoint Genome Institute · USLawrence Berkeley National Laboratory · USUniversity of California, Santa Barbara · USUniversity of Wisconsin–Milwaukee · US

Funding

Advanced Research Projects Agency - Energy DE-FOA-0001726-1513U.S. Department of Energy DE-AC02-05CH11231
6 · The paper itself

Abstract

Macrocystis pyrifera (giant kelp), is a brown macroalga of great ecological importance as a primary producer and structure-forming foundational species that provides habitat for hundreds of species. It has many commercial uses (e.g. source of alginate, fertilizer, cosmetics, feedstock). One of the limitations to exploiting giant kelp's economic potential and assisting in giant kelp conservation efforts is a lack of genomic tools like a high quality, contiguous reference genome with accurate gene annotations. Reference genomes attempt to capture the complete genomic sequence of an individual or species, and importantly provide a universal structure for comparison across a multitude of genetic experiments, both within and between species. We assembled the giant kelp genome of a haploid female gametophyte de novo using PacBio reads, then ordered contigs into chromosome level scaffolds using Hi-C. We found the giant kelp genome to be 537 MB, with a total of 35 scaffolds and 188 contigs. The assembly N50 is 13,669,674 with GC content of 50.37%. We assessed the genome completeness using BUSCO, and found giant kelp contained 94% of the BUSCO genes from the stramenopile clade. Annotation of the giant kelp genome revealed 25,919 genes. Additionally, we present genetic variation data based on 48 diploid giant kelp sporophytes from three different Southern California populations that confirms the population structure found in other studies of these populations. This work resulted in a high-quality giant kelp genome that greatly increases the genetic knowledge of this ecologically and economically vital species.

Indexed as

MacrocystisAlginatesDiploidyFertilizersGenomicsAlginatesFertilizersBrown macroalgaGenomeGiant kelpMacrocystis pyriferaPopulation genetics

Identifiers

PMID37704968
PMCPMC10498591
OpenAlexW4386712380

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.