Evidence map›Paper›PMID 27358887›Full record

ArticleStem cell investigation2015

Alternative splicing acting as a bridge in evolution.

Kemin Zhou, Asaf Salamov, Alan Kuo, Andrea L Aerts, Xiangyang Kong, Igor V Grigoriev

Abstract read
In one paragraph

Article in Stem cell investigation, 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
0.5field-weighted citation impact, top 35% 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, 12 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Kemin Zhou1 US Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA ; 2 Roche Molecular Diagnostics, 4300 Hacienda Drive, Pleasanton, CA 94588, USA ; 3 Department of Clinical Medicine, Kunming University of Science and Technology, Kunming 650031, China.
Asaf Salamov1 US Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA ; 2 Roche Molecular Diagnostics, 4300 Hacienda Drive, Pleasanton, CA 94588, USA ; 3 Department of Clinical Medicine, Kunming University of Science and Technology, Kunming 650031, China.
Alan Kuo1 US Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA ; 2 Roche Molecular Diagnostics, 4300 Hacienda Drive, Pleasanton, CA 94588, USA ; 3 Department of Clinical Medicine, Kunming University of Science and Technology, Kunming 650031, China.
Andrea L Aerts1 US Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA ; 2 Roche Molecular Diagnostics, 4300 Hacienda Drive, Pleasanton, CA 94588, USA ; 3 Department of Clinical Medicine, Kunming University of Science and Technology, Kunming 650031, China.
Xiangyang Kong1 US Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA ; 2 Roche Molecular Diagnostics, 4300 Hacienda Drive, Pleasanton, CA 94588, USA ; 3 Department of Clinical Medicine, Kunming University of Science and Technology, Kunming 650031, China.
Igor V Grigoriev1 US Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA ; 2 Roche Molecular Diagnostics, 4300 Hacienda Drive, Pleasanton, CA 94588, USA ; 3 Department of Clinical Medicine, Kunming University of Science and Technology, Kunming 650031, China.
Joint Genome Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlternative splicing (AS) regulates diverse cellular and developmental functions through alternative protein structures of different isoforms. Alternative exons dominate AS in vertebrates; however, very little is known about the extent and function of AS in lower eukaryotes. To understand the role of introns in gene evolution, we examined AS from a green algal and five fungal genomes using a novel EST-based gene-modeling algorithm (COMBEST).

methodsAS from each genome was classified with COMBEST that maps EST sequences to genomes to build gene models. Various aspects of AS were analyzed through statistical methods. The interplay of intron 3n length, phase, coding property, and intron retention (RI) were examined with Chi-square testing.

resultsWith 3 to 834 times EST coverage, we identified up to 73% of AS in intron-containing genes and found preponderance of RI among 11 types of AS. The number of exons, expression level, and maximum intron length correlated with number of AS per gene (NAG), and intron-rich genes suppressed AS. Genes with AS were more ancient, and AS was conserved among fungal genomes. Among stopless introns, non-retained introns (NRI) avoided, but major RI preferred 3n length. In contrast, stop-containing introns showed uniform distribution among 3n, 3n+1, and 3n+2 lengths. We found a clue to the intron phase enigma: it was the coding function of introns involved in AS that dictates the intron phase bias.

conclusionsMajority of AS is non-functional, and the extent of AS is suppressed for intron-rich genes. RI through 3n length, stop codon, and phase bias bridges the transition from functionless to functional alternative isoforms.

Indexed as

Alternative splicing (AS)fungal genomeintron retention (RI)

Identifiers

PMID27358887
PMCPMC4923640
OpenAlexW1903920697

What OpenQuestion holds

Textmetadata
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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.