Evidence map›Paper›PMID 17237941›Full record

ArticleMolecular genetics and genomics : MGG2007

Biased distribution of microsatellite motifs in the rice genome.

Atul Grover, Veenu Aishwarya, P C Sharma

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 76 citations in OpenAlex.

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  13. Analysis of Jatropha curcas transcriptome for oil enhancement and genic markers.Physiology and molecular biology of plants : an international journal of functional plant biology · 2014
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  20. Diversity array technology markers: genetic diversity analyses and linkage map construction in rapeseed (Brassica napus L.).DNA research : an international journal for rapid publication of reports on genes and genomes · 2012
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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 1 institution in 1 country.

Atul GroverUniversity School of Biotechnology, Guru Gobind Singh Indraprastha University, Kashmere Gate, Delhi, India.
Veenu Aishwarya
P C Sharma
Guru Gobind Singh Indraprastha University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microsatellites are useful tools to study the extent of divergence between two taxonomic groups that show high sequence similarity. We have compared microsatellite distribution to illustrate genetic variation between the two rice genomes, Oryza sativa L. ssp. indica and Oryza sativa L. ssp. japonica. Microsatellite distribution proved to be non random as certain regions of very high microsatellite density have been identified. Microsatellite density in the subspecies japonica was computed marginally higher than in the subspecies indica in the genomic regions compared between the two subspecies. Unexpectedly high microsatellite densities were observed in 5'-untranslated regions of genes. These regions also displayed a clear motif bias. Some of the longest microsatellite repeats were found in intron sequences. Frequency, as well as motif bias was also noted with respect to the association of microsatellites with transposable elements. Microsatellite mutability values were exemplarily estimated for 90 loci by aligning the microsatellite containing regions between the two genomes. Poor rates of finding an orthologue corresponded with high microsatellite mutability in rice. These insights are likely to play a significant role in selecting microsatellite loci to be used in molecular breeding and studying evolutionary dynamics of the two subspecies.

Indexed as

Genome, PlantMicrosatellite RepeatsBase SequenceMolecular Sequence DataMultigene FamilyOryzaRepetitive Sequences, Nucleic Acid

Identifiers

PMID17237941
OpenAlexW2142981613

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.