Evidence map›Paper›PMID 19484264›Full record

ArticleMolecular genetics and genomics : MGG2009

Genome-wide analysis of conservation and divergence of microsatellites in rice.

Manish Roorkiwal, Atul Grover, Prakash C Sharma

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2009. 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.

  1. ChloroMitoSSRDB: open source repository of perfect and imperfect repeats in organelle genomes for evolutionary genomics.DNA research : an international journal for rapid publication of reports on genes and genomes · 2013
    Article
  2. 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

3 authors.

Manish RoorkiwalUniversity School of Biotechnology, Guru Gobind Singh Indraprastha University, Delhi, India.
Atul Grover
Prakash C Sharma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies on microsatellite distribution and divergence in related genomes contribute towards understanding of genome evolution in eukaryotes. Despite the availability of whole genome sequences of four rice genomes, occurrence and significance of microsatellites in the rice genome has remained a relatively unexplored area of research. We have aligned genomes of two rice subspecies i.e. indica and japonica to understand the trends of microsatellite conservation and divergence in the rice genome. Nearly 62% of the indica microsatellites were also found in the japonica genome. Occurrence of microsatellites showed a negative association with that of retrotransposons. Microsatellites repeat unit length and sequence showed direct influence on the microsatellite locus length. Further, microsatellite allele length was also influenced by the sequence characteristics of the neighbouring regions. CCG repeats were most conserved microsatellite sequences across the different syntenic regions in the two rice genomes and often showed association with CpG islands. Our study suggested that microsatellite distribution is not only governed by a balance between replication slippage and point mutations as proposed earlier, but also by the microsatellite motif sequence and characteristics of microsatellite neighbouring regions in the genome. Thus, this study is likely to prove an important reference for understanding the process of microsatellite evolution and dynamics in the two rice subspecies.

Indexed as

Genetic VariationBase CompositionChromosomes, PlantConserved SequenceGenome, PlantMicrosatellite RepeatsOryzaRegulatory Sequences, Nucleic AcidRetroelementsSoftwareRetroelements

Identifiers

What OpenQuestion holds

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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.