Evidence map›Paper›PMID 17110490›Full record

ArticleGenetics2007

Nearly identical paralogs: implications for maize (Zea mays L.) genome evolution.

Scott J Emrich, Li Li, Tsui-Jung Wen, Marna D Yandeau-Nelson, Yan Fu, Ling Guo, Hui-Hsien Chou, Srinivas Aluru, Daniel A Ashlock, Patrick S Schnable

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
11.2field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 63 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

10 authors at 5 institutions in 3 countries.

Scott J EmrichInterdepartmental Bioinformatics and Computational Biology Graduate Program, Iowa State University, Ames, Iowa 50011, USA.
Li Li
Tsui-Jung Wen
Marna D Yandeau-Nelson
Yan Fu
Ling Guo
Hui-Hsien Chou
Srinivas Aluru
Daniel A Ashlock
Patrick S Schnable
Institut thématique Génétique, génomique et bioinformatique · FRComputational Physics (United States) · USGenomics (United Kingdom) · GBInstitut des Sciences des Plantes de Montpellier · FRIowa State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an ancient segmental tetraploid, the maize (Zea mays L.) genome contains large numbers of paralogs that are expected to have diverged by a minimum of 10% over time. Nearly identical paralogs (NIPs) are defined as paralogous genes that exhibit > or = 98% identity. Sequence analyses of the "gene space" of the maize inbred line B73 genome, coupled with wet lab validation, have revealed that, conservatively, at least approximately 1% of maize genes have a NIP, a rate substantially higher than that in Arabidopsis. In most instances, both members of maize NIP pairs are expressed and are therefore at least potentially functional. Of evolutionary significance, members of many NIP families also exhibit differential expression. The finding that some families of maize NIPs are closely linked genetically while others are genetically unlinked is consistent with multiple modes of origin. NIPs provide a mechanism for the maize genome to circumvent the inherent limitation that diploid genomes can carry at most two "alleles" per "locus." As such, NIPs may have played important roles during the evolution and domestication of maize and may contribute to the success of long-term selection experiments in this important crop species.

Indexed as

Evolution, MolecularGenome, PlantArabidopsisBase SequenceDNA, PlantMolecular Sequence DataPlant ProteinsSelection, GeneticSequence Homology, Nucleic AcidZea maysDNA, PlantPlant Proteins

Identifiers

PMID17110490
PMCPMC1774996
OpenAlexW2137148157

What OpenQuestion holds

Textmetadata
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.