Evidence map›Paper›PMID 24039805›Full record

ArticlePloS one2013

Revising the taxonomic distribution, origin and evolution of ribosome inactivating protein genes.

Walter J Lapadula, María Virginia Sánchez Puerta, Maximiliano Juri Ayub

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 46 citations in OpenAlex.

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  17. Ribosome Inactivating Proteins from Rosaceae.Molecules (Basel, Switzerland) · 2016
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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

3 authors at 2 institutions in 1 country.

Walter J LapadulaÁrea de Biología Molecular, Departamento de Bioquímica y Ciencias Biológicas, UNSL and Instituto Multidisciplinario de Investigaciones Biológicas de San Luis (IMIBIO-SL-CONICET), San Luis, Argentina.
María Virginia Sánchez Puerta
Maximiliano Juri Ayub
Consejo Nacional de Investigaciones Científicas y Técnicas · ARInstituto Superior de Investigaciones Biológicas · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ribosome inactivating proteins are enzymes that depurinate a specific adenine residue in the alpha-sarcin-ricin loop of the large ribosomal RNA, being ricin and Shiga toxins the most renowned examples. They are widely distributed in plants and their presence has also been confirmed in a few bacterial species. According to this taxonomic distribution, the current model about the origin and evolution of RIP genes postulates that an ancestral RIP domain was originated in flowering plants, and later acquired by some bacteria via horizontal gene transfer. Here, we unequivocally detected the presence of RIP genes in fungi and metazoa. These findings, along with sequence and phylogenetic analyses, led us to propose an alternative, more parsimonious, hypothesis about the origin and evolutionary history of the RIP domain, where several paralogous RIP genes were already present before the three domains of life evolved. This model is in agreement with the current idea of the Last Universal Common Ancestor (LUCA) as a complex, genetically redundant organism. Differential loss of paralogous genes in descendants of LUCA, rather than multiple horizontal gene transfer events, could account for the complex pattern of RIP genes across extant species, as it has been observed for other genes.

Indexed as

Evolution, MolecularAmino Acid SequenceAnimalsBacteriaDatabases, GeneticEukaryotaFungiGene OrderGenomeMolecular Sequence DataOpen Reading FramesPhylogenyRibosome Inactivating ProteinsSequence AlignmentRibosome Inactivating Proteins

Identifiers

PMID24039805
PMCPMC3764214
OpenAlexW1998616425

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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.