Evidence map›Paper›PMID 39227788›Full record

ArticleBMC genomic data2024

The draft genomes of Crassostrea gasar and Crassostrea rhizophorae: key resources for leveraging oyster cultivation in the Southwest Atlantic.

Nicholas Costa Barroso Lima, Luiz Gonzaga Paula de Almeida, Afonso Celso Dias Bainy, Alexandra Lehmkuhl Gerber, Ana Paula de Campos Guimarães, Antonio Mateo Solé-Cava, Claudio Manoel Rodrigues de Melo, Cristiano Lazoski, Flávia Lucena Zacchi, Frederico Henning and 3 more

Abstract read
In one paragraph

Article in BMC genomic data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Nicholas Costa Barroso LimaDepartamento de Bioquímica e Biologia Molecular, Centro de Ciências, Universidade Federal do Ceará (UFC), Fortaleza, CE, 60020-181, Brasil.ORCID http://orcid.org/0000-0002-3011-010X
Luiz Gonzaga Paula de AlmeidaLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Av. Getúlio Vargas, 333 - Quitandinha, Petrópolis, RJ, 25651-076, Brasil.ORCID http://orcid.org/0000-0002-7124-2715
Afonso Celso Dias BainyLaboratório de Biomarcadores de Contaminação Aquática e Imunoquímica, Departamento de Bioquímica, Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, 88037-000, Brasil.ORCID http://orcid.org/0000-0002-3885-7718
Alexandra Lehmkuhl GerberLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Av. Getúlio Vargas, 333 - Quitandinha, Petrópolis, RJ, 25651-076, Brasil.ORCID http://orcid.org/0000-0001-5724-6106
Ana Paula de Campos GuimarãesLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Av. Getúlio Vargas, 333 - Quitandinha, Petrópolis, RJ, 25651-076, Brasil.ORCID http://orcid.org/0000-0001-9519-0545
Antonio Mateo Solé-CavaCentro Nacional para a Identificação Molecular do Pescado (CENIMP), Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, 21941-590, Brasil.ORCID http://orcid.org/0000-0003-0363-5821
Claudio Manoel Rodrigues de MeloLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Av. Getúlio Vargas, 333 - Quitandinha, Petrópolis, RJ, 25651-076, Brasil.ORCID http://orcid.org/0000-0002-0969-7022
Cristiano LazoskiLaboratório de Biodiversidade Genômica (LABIG), Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, 21941-902, Brasil.ORCID http://orcid.org/0000-0002-6322-4672
Flávia Lucena ZacchiLaboratório de Moluscos Marinhos (LMM), Departamento de Aquicultura, Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, 88061-600, Brasil.ORCID http://orcid.org/0000-0003-1808-1390
Frederico HenningCentro Nacional para a Identificação Molecular do Pescado (CENIMP), Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, 21941-590, Brasil.ORCID http://orcid.org/0000-0002-5359-504X
Leticia Maria Monteiro SoaresCentro Nacional para a Identificação Molecular do Pescado (CENIMP), Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, 21941-590, Brasil.ORCID http://orcid.org/0000-0001-9654-1829
Rafaela Guilherme SoaresCentro Nacional para a Identificação Molecular do Pescado (CENIMP), Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, 21941-590, Brasil.ORCID http://orcid.org/0009-0001-0323-4422
Ana Tereza Ribeiro VasconcelosLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Av. Getúlio Vargas, 333 - Quitandinha, Petrópolis, RJ, 25651-076, Brasil. atrv@lncc.br.ORCID http://orcid.org/0000-0002-4632-2086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe two oyster species studied hold considerable economic importance for artisanal harvest (Crassostrea rhizophorae) and aquaculture (Crassostrea gasar). Their draft genomes will play an important role in the application of genomic methods such as RNAseq, population-based genomic scans aiming at addressing expression responses to pollution stress, adaptation to salinity and temperature variation, and will also permit investigating the genetic bases and enable marker-assisted selection of economically important traits like shell and mantle coloration and resistance to temperature and disease. DATA DESCRIPTION: The draft assembly size of Crassostrea gasar is 506 Mbp, and of Crassostrea rhizophorae is 584 Mbp with scaffolds N50 of 11,3 Mbp and 4,9 Mbp, respectively. The general masked bases by RepeatMasker in both genomes were highly similar using different datasets. The masked bases varied from 9.41% in C. gasar to 10.05% in C. rhizophorae and 42.85% in C. gasar to 44.44% in C. rhizophorae using Dfam and RepeatModeler datasets, respectively. Functional annotation with eggNog resulted in 34,693 annotated proteins in C. rhizophorae and 26,328 in C. gasar. BUSCO analysis shows that almost 99% of genes (5,295) are complete in relation to the mollusk orthologous genes dataset (mollusca_odb10).

Indexed as

CrassostreaGenomeAnimalsAquacultureAtlantic OceanGenomicsMolecular Sequence AnnotationCrassostreaGasarGenomeMolluscaRhizophorae

Identifiers

PMID39227788
PMCPMC11373122

What OpenQuestion holds

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Registered trials

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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.