Evidence map›Paper›PMID 37646948›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2023

South American Plant Chromosome Numbers Databases: The Information We Have and the Information We Lack on the Most Plant-Diverse Continent.

Mariela A Sader, Lucas A Costa, Gustavo Souza, Juan D Urdampilleta, Joan Simon, Magdalena Vaio

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Mariela A SaderInstituto Multidisciplinario de Biología Vegetal (IMBIV), Universidad de Córdoba - CONICET, Córdoba, Argentina.
Lucas A CostaLaboratorio de Citogenética Vegetal, Departamento de Botânica, Universidade Federal de Pernambuco, Recife, Brazil.
Gustavo SouzaLaboratorio de Citogenética Vegetal, Departamento de Botânica, Universidade Federal de Pernambuco, Recife, Brazil.
Juan D UrdampilletaInstituto Multidisciplinario de Biología Vegetal (IMBIV), Universidad de Córdoba - CONICET, Córdoba, Argentina.
Joan SimonBioC (GReB, IRBio) - Laboratori de Botànica, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Magdalena VaioLaboratorio de Evolución y Domesticación de las Plantas, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay. mvaio@fagro.edu.uy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosome numbers have been used in plant taxonomy, and they are still fundamental for taxon delimitation and genome evolution studies. South America is one of the most diverse continents in terms of plant species and there is a considerable number of species not yet analyzed. Accumulated knowledge about plant chromosome numbers has been compiled from online databases, and here we present an overview. The CCDB is one of the largest plant cytological databases and includes data for around 18% of known vascular plants in the world. In this work, we review the information contained in CCDB and in three databases with exclusive information for South America. At present, the three existing databases comprise information on around 1800 plant taxa related to specific regions, countries, or biomes. Efforts are necessary to expand cytological knowledge and to collect all the available information in a plant chromosome database for this continent.

Indexed as

Chromosomes, PlantTracheophytaDatabases, FactualEcosystemSouth AmericaBrazilChileChromosome numbersDiversityKaryotypeOnline databaseParaguaySouth America

Identifiers

What OpenQuestion holds

Textmetadata
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.