Evidence map›Paper›PMID 26330142›Full record

ArticleBMC genomics2015

De novo sequencing and analysis of Lophophora williamsii transcriptome, and searching for putative genes involved in mescaline biosynthesis.

Enrique Ibarra-Laclette, Flor Zamudio-Hernández, Claudia Anahí Pérez-Torres, Victor A Albert, Enrique Ramírez-Chávez, Jorge Molina-Torres, Araceli Fernández-Cortes, Carlos Calderón-Vázquez, José Luis Olivares-Romero, Alfredo Herrera-Estrella and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. De Novo Transcriptome ofPlants (Basel, Switzerland) · 2022
    Article
  5. Article
  6. Review
  7. Transcriptome Analysis ofFrontiers in plant science · 2021
    Article
  8. Article
  9. Expression of theFrontiers in plant science · 2017
    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

11 authors at 3 institutions in 2 countries.

Enrique Ibarra-LacletteLaboratorio Nacional de Genómica para la Biodiversidad (LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN, 36500, Irapuato, Guanajuato, México. enrique.ibarra@inecol.mx.
Flor Zamudio-HernándezLaboratorio Nacional de Genómica para la Biodiversidad (LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN, 36500, Irapuato, Guanajuato, México. fzamudio@langebio.cinvestav.mx.
Claudia Anahí Pérez-TorresLaboratorio Nacional de Genómica para la Biodiversidad (LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN, 36500, Irapuato, Guanajuato, México. claudia.perez@inecol.mx.
Victor A AlbertDepartment of Biological Sciences, University at Buffalo, Buffalo, New York, 14260, USA. vaalbert@buffalo.edu.
Enrique Ramírez-ChávezDepartamento de Biotecnología y Bioquímica, Unidad Irapuato, Centro de Investigación y de Estudios Avanzados del IPN, 36821, Irapuato, Guanajuato, México. eramirez@ira.cinvestav.mx.
Jorge Molina-TorresDepartamento de Biotecnología y Bioquímica, Unidad Irapuato, Centro de Investigación y de Estudios Avanzados del IPN, 36821, Irapuato, Guanajuato, México. jmolina@ira.cinvestav.mx.
Araceli Fernández-CortesLaboratorio Nacional de Genómica para la Biodiversidad (LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN, 36500, Irapuato, Guanajuato, México. araceli@langebio.cinvestav.mx.
Carlos Calderón-VázquezCentro Interdisciplinario de Investigación para el Desarrollo Integral Regional (CIIDIR), Instituto Politécnico Nacional, 81000, Guasave, Sinaloa, México. ccalderon@ipn.mx.
José Luis Olivares-RomeroRed de Estudios Moleculares Avanzados, Instituto de Ecología A.C., 91070, Xalapa, Veracruz, México. jose.olivares@inecol.mx.
Alfredo Herrera-EstrellaLaboratorio Nacional de Genómica para la Biodiversidad (LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN, 36500, Irapuato, Guanajuato, México. aherrera@langebio.cinvestav.mx.
Luis Herrera-EstrellaLaboratorio Nacional de Genómica para la Biodiversidad (LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN, 36500, Irapuato, Guanajuato, México. lherrera@langebio.cinvestav.mx.
Instituto Politécnico Nacional · MXInstituto de Ecología · MXUniversity at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLophophora williamsii (commonly named peyote) is a small, spineless cactus with psychoactive alkaloids, particularly mescaline. Peyote utilizes crassulacean acid metabolism (CAM), an alternative form of photosynthesis that exists in succulents such as cacti and other desert plants. Therefore, its transcriptome can be considered an important resource for future research focused on understanding how these plants make more efficient use of water in marginal environments and also for research focused on better understanding of the overall mechanisms leading to production of plant natural products and secondary metabolites.

resultsIn this study, two cDNA libraries were generated from L. williamsii. These libraries, representing buttons (tops of stems) and roots were sequenced using different sequencing platforms (GS-FLX, GS-Junior and PGM, respectively). A total of 5,541,550 raw reads were generated, which were assembled into 63,704 unigenes with an average length of 564.04 bp. A total of 25,149 unigenes (62.19 %) was annotated using public databases. 681 unigenes were found to be differentially expressed when comparing the two libraries, where 400 were preferentially expressed in buttons and 281 in roots. Some of the major alkaloids, including mescaline, were identified by GC-MS and relevant metabolic pathways were reconstructed using the Kyoto encyclopedia of genes and genomes database (KEGG). Subsequently, the expression patterns of preferentially expressed genes putatively involved in mescaline production were examined and validated by qRT-PCR.

conclusionsHigh throughput transcriptome sequencing (RNA-seq) analysis allowed us to efficiently identify candidate genes involved in mescaline biosynthetic pathway in L. williamsii; these included tyrosine/DOPA decarboxylase, hydroxylases, and O-methyltransferases. This study sets the theoretical foundation for bioassay design directed at confirming the participation of these genes in mescaline production.

Indexed as

Genes, PlantBiosynthetic PathwaysDecarboxylationDihydroxyphenylalanineHigh-Throughput Nucleotide SequencingHydroxylationLikelihood FunctionsMescalineMethyltransferasesMolecular Sequence AnnotationPhylogenyReal-Time Polymerase Chain ReactionReproducibility of ResultsSophoraTranscriptomeTyrosineDihydroxyphenylalanineMescalineMethyltransferasesTyrosine

Identifiers

PMID26330142
PMCPMC4557841
OpenAlexW1714715366

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.