Evidence map›Paper›PMID 26278778›Full record

ArticleScientific reports2015

Genome-wide DNA polymorphisms in low Phosphate tolerant and sensitive rice genotypes.

Poonam Mehra, Bipin K Pandey, Jitender Giri

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.2field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 29 citations in OpenAlex.

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  9. Exploiting the Genomic Diversity of Rice (Frontiers in plant science · 2018
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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.

Poonam MehraNational Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi-110067, India.
Bipin K PandeyNational Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi-110067, India.
Jitender GiriNational Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi-110067, India.
National Institute of Plant Genome Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil Phosphorus (P) deficiency is one of the major challenges to rice crop world-wide. Modern rice genotypes are highly P-responsive and rely on high input of P fertilizers. However, low P tolerant traditional cultivars and landraces have genetic potential to sustain well under low P. Identification of high resolution DNA polymorphisms (SNPs and InDels) in such contrasting genotypes is largely missing for low P response at gene levels. Here, we report high quality DNA polymorphisms in low P sensitive genotype, PB1 and tolerant traditional genotype, Dular. We performed whole genome resequencing using Illumina NGS platform and identified a total of 5,157,939 sequence variants in PB1 and Dular with reference to Nipponbare genome. We have identified approximately 2.3 million and 2.9 million high quality polymorphisms in PB1 and Dular, respectively, with an average read depth of ≥24X. We further mapped several DNA polymorphisms (non-synonymous and regulatory variants) having potential functional significance to key Phosphate Starvation Responsive (PSR) and root architecture genes in Dular and Kasalath using a compiled list of low P responsive genes. These identified variants can serve as a useful source of genetic variability for improving low P tolerance and root architecture of high yielding modern genotypes.

Indexed as

Genome, PlantDNA, PlantGenotypeHigh-Throughput Nucleotide SequencingINDEL MutationOryzaPhenotypePhosphatesPlant RootsPolymorphism, Single NucleotideSequence Analysis, DNADNA, PlantPhosphates

Identifiers

PMID26278778
PMCPMC4538390
OpenAlexW1190214605

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LicenceCC BY
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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.