Evidence map›Paper›PMID 30526481›Full record

ArticleBMC genomics2018

Yerba mate (Ilex paraguariensis, A. St.-Hil.) de novo transcriptome assembly based on tissue specific genomic expression profiles.

Jessica V Fay, Christopher J Watkins, Ram K Shrestha, Sergio L Litwiñiuk, Liliana N Talavera Stefani, Cristian A Rojas, Carina F Argüelles, Julian A Ferreras, Mario Caccamo, Marcos M Miretti

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Nutrients · 2026
    Review
  2. Yerba mate (eLife · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. 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

10 authors at 5 institutions in 3 countries.

Jessica V FayGrupo de Investigación en Genética Aplicada (GIGA), Facultad de Ciencias Exactas Químicas y Naturales, Instituto de Biología Subtropical (IBS UNaM-CONICET), Universidad Nacional de Misiones, Jujuy 1745, CP3300, Posadas, Misiones, Argentina.
Christopher J WatkinsThe Genome Analysis Centre, Norwich Research Park, Norwich, NR4 7UH, UK.
Ram K ShresthaThe Genome Analysis Centre, Norwich Research Park, Norwich, NR4 7UH, UK.
Sergio L LitwiñiukGrupo de Investigación en Genética Aplicada (GIGA), Facultad de Ciencias Exactas Químicas y Naturales, Instituto de Biología Subtropical (IBS UNaM-CONICET), Universidad Nacional de Misiones, Jujuy 1745, CP3300, Posadas, Misiones, Argentina.
Liliana N Talavera StefaniGrupo de Investigación en Genética Aplicada (GIGA), Facultad de Ciencias Exactas Químicas y Naturales, Instituto de Biología Subtropical (IBS UNaM-CONICET), Universidad Nacional de Misiones, Jujuy 1745, CP3300, Posadas, Misiones, Argentina.
Cristian A RojasUniversidad Federal de la Integración Latinoamericana, Foz de Iguazú, PR, Brazil.
Carina F ArgüellesGrupo de Investigación en Genética Aplicada (GIGA), Facultad de Ciencias Exactas Químicas y Naturales, Instituto de Biología Subtropical (IBS UNaM-CONICET), Universidad Nacional de Misiones, Jujuy 1745, CP3300, Posadas, Misiones, Argentina.
Julian A FerrerasGrupo de Investigación en Genética Aplicada (GIGA), Facultad de Ciencias Exactas Químicas y Naturales, Instituto de Biología Subtropical (IBS UNaM-CONICET), Universidad Nacional de Misiones, Jujuy 1745, CP3300, Posadas, Misiones, Argentina.
Mario CaccamoThe Genome Analysis Centre, Norwich Research Park, Norwich, NR4 7UH, UK.
Marcos M MirettiGrupo de Investigación en Genética Aplicada (GIGA), Facultad de Ciencias Exactas Químicas y Naturales, Instituto de Biología Subtropical (IBS UNaM-CONICET), Universidad Nacional de Misiones, Jujuy 1745, CP3300, Posadas, Misiones, Argentina. mmiretti@fceqyn.unam.edu.ar.
Instituto de Biología Subtropical · AREarlham Institute · GBConsejo Nacional de Investigaciones Científicas y Técnicas · ARNational University of Misiones · ARUniversidade Federal da Integração Latino-Americana · BR

Funding

Consejo Nacional de Investigaciones Científicas y Técnicas (AR) PIO - CONICET
6 · The paper itself

Abstract

backgroundThe most common infusion in southern Latin-American countries is prepared with dried leaves of Ilex paraguariensis A. St.-Hil., an aboriginal ancestral beverage known for its high polyphenols concentration currently consumed in > 90% of homes in Argentina, in Paraguay and Uruguay. The economy of entire provinces heavily relies on the production, collection and manufacture of Ilex paraguariensis, the fifth plant species with highest antioxidant activity. Polyphenols are associated to relevant health benefits including strong antioxidant properties. Despite its regional relevance and potential biotechnological applications, little is known about functional genomics and genetics underlying phenotypic variation of relevant traits. By generating tissue specific transcriptomic profiles, we aimed to comprehensively annotate genes in the Ilex paraguariensis phenylpropanoid pathway and to evaluate differential expression profiles.

resultsIn this study we generated a reliable transcriptome assembly based on a collection of 15 RNA-Seq libraries from different tissues of Ilex paraguariensis. A total of 554 million RNA-Seq reads were assembled into 193,897 transcripts, where 24,612 annotated full-length transcripts had complete ORF. We assessed the transcriptome assembly quality, completeness and accuracy using BUSCO and TransRate; consistency was also evaluated by experimentally validating 11 predicted genes by PCR and sequencing. Functional annotation against KEGG Pathway database identified 1395 unigenes involved in biosynthesis of secondary metabolites, 531 annotated transcripts corresponded to the phenylpropanoid pathway. The top 30 differentially expressed genes among tissue revealed genes involved in photosynthesis and stress response. These significant differences were then validated by qRT-PCR.

conclusionsOur study is the first to provide data from whole genome gene expression profiles in different Ilex paraguariensis tissues, experimentally validating in-silico predicted genes key to the phenylpropanoid (antioxidant) pathway. Our results provide essential genomic data of potential use in breeding programs for polyphenol content. Further studies are necessary to assess if the observed expression variation in the phenylpropanoid pathway annotated genes is related to variations in leaves' polyphenol content at the population scale. These results set the current reference for Ilex paraguariensis genomic studies and provide a substantial contribution to research and biotechnological applications of phenylpropanoid secondary metabolites.

Indexed as

Genome, PlantGene Expression Regulation, PlantGene OntologyGenes, PlantIlex paraguariensisMolecular Sequence AnnotationOrgan SpecificityPlant LeavesPlant RootsReproducibility of ResultsRNA, MessengerSecondary MetabolismSequence Analysis, RNATranscriptomeRNA, Messengerde-novo assemblyExpression profileFunctional annotationIlex paraguariensisPhenylpropanoidTranscriptomeYerba mate

Identifiers

PMID30526481
PMCPMC6286616
OpenAlexW2904714050

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.