Evidence map›Paper›PMID 31388348›Full record

ArticleAlgorithms for molecular biology : AMB2019

A branching process for homology distribution-based inference of polyploidy, speciation and loss.

Yue Zhang, Chunfang Zheng, David Sankoff

Abstract read
In one paragraph

Article in Algorithms for molecular biology : AMB, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Yue ZhangDepartment of Mathematics and Statistics, University of Ottawa, 150 Louis Pasteur Pvt, Ottawa, K1N 6N5 Canada.
Chunfang ZhengDepartment of Mathematics and Statistics, University of Ottawa, 150 Louis Pasteur Pvt, Ottawa, K1N 6N5 Canada.
David SankoffDepartment of Mathematics and Statistics, University of Ottawa, 150 Louis Pasteur Pvt, Ottawa, K1N 6N5 Canada.ORCID 0000-0001-8415-5189

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe statistical distribution of the similarity or difference between pairs of paralogous genes, created by whole genome doubling, or between pairs of orthologous genes in two related species is an important source of information about genomic evolution, especially in plants.

methodsWe derive the mixture of distributions of sequence similarity for duplicate gene pairs generated by repeated episodes of whole gene doubling. This involves integrating sequence divergence and gene pair loss through fractionation, using a branching process and a mutational model. We account not only for the timing of these events in terms of local modes, but also the amplitude and variance of the component distributions. This model is then extended to orthologous gene pairs.

resultsWe apply the model and inference procedures to the evolution of the Solanaceae, focusing on the genomes of economically important crops. We assess how consistent or variable fractionation rates are from species to species and over time.

Indexed as

Branching processFractionationSolanaceaeWhole genome doubling

Identifiers

PMID31388348
PMCPMC6676528

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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.