Evidence map›Paper›PMID 17951464›Full record

ArticlePlant physiology2007

Identification and characterization of lineage-specific genes within the Poaceae.

Matthew A Campbell, Wei Zhu, Ning Jiang, Haining Lin, Shu Ouyang, Kevin L Childs, Brian J Haas, John P Hamilton, C Robin Buell

Abstract read
In one paragraph

Article in Plant physiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Role of Brassica orphan gene BrLFM on leafy head formation in Chinese cabbage (Brassica rapa).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
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  7. Review
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  12. Article
  13. Mining ofInternational journal of molecular sciences · 2018
    Article
  14. A database for orphan genes in Poaceae.Experimental and therapeutic medicine · 2017
    Article
  15. Article
  16. Article
  17. Article
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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

9 authors.

Matthew A CampbellThe Institute for Genomic Research and J. Craig Venter Institute, Rockville, Maryland 20850, USA.
Wei Zhu
Ning Jiang
Haining Lin
Shu Ouyang
Kevin L Childs
Brian J Haas
John P Hamilton
C Robin Buell

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using the rice (Oryza sativa) sp. japonica genome annotation, along with genomic sequence and clustered transcript assemblies from 184 species in the plant kingdom, we have identified a set of 861 rice genes that are evolutionarily conserved among six diverse species within the Poaceae yet lack significant sequence similarity with plant species outside the Poaceae. This set of evolutionarily conserved and lineage-specific rice genes is termed conserved Poaceae-specific genes (CPSGs) to reflect the presence of significant sequence similarity across three separate Poaceae subfamilies. The vast majority of rice CPSGs (86.6%) encode proteins with no putative function or functionally characterized protein domain. For the remaining CPSGs, 8.8% encode an F-box domain-containing protein and 4.5% encode a protein with a putative function. On average, the CPSGs have fewer exons, shorter total gene length, and elevated GC content when compared with genes annotated as either transposable elements (TEs) or those genes having significant sequence similarity in a species outside the Poaceae. Multiple sequence alignments of the CPSGs with sequences from other Poaceae species show conservation across a putative domain, a novel domain, or the entire coding length of the protein. At the genome level, syntenic alignments between sorghum (Sorghum bicolor) and 103 of the 861 rice CPSGs (12.0%) could be made, demonstrating an additional level of conservation for this set of genes within the Poaceae. The extensive sequence similarity in evolutionarily distinct species within the Poaceae family and an additional screen for TE-related structural characteristics and sequence discounts these CPSGs as being misannotated TEs. Collectively, these data confirm that we have identified a specific set of genes that are highly conserved within, as well as specific to, the Poaceae.

Indexed as

Conserved SequenceGenes, PlantSyntenyAmino Acid SequenceBase SequenceMolecular Sequence DataOryzaPoaceaeSorghum

Identifiers

PMID17951464
PMCPMC2151710

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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.