Evidence map›Paper›PMID 42919017›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2027

Exploring the Role of Single Nucleotide Polymorphisms in Modern Plant Genomic Research.

Ravimurugan Subashini, Tennyson Jebasingh

Abstract readReview
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In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ravimurugan SubashiniDepartment of Plant Sciences, School of Biological Sciences, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
Tennyson JebasinghDepartment of Plant Sciences, School of Biological Sciences, Madurai Kamaraj University, Madurai, Tamil Nadu, India. jebasingh.biological@mkuniversity.ac.in.ORCID http://orcid.org/0000-0001-5771-2189

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-nucleotide polymorphisms (SNPs) represent the most frequent type of genetic variation in plant genomes. Recently, SNPs have become essential markers for various studies conducted using plant genomes. With recent advances in high-throughput genomic sequencing techniques as well as advanced genotyping platforms, efficient strategies have emerged for discovering, validating, and using SNPs for genomic analysis and improvement of numerous plant species. This chapter aims to offer an overview of methods used for conducting studies using SNPs for plant species, particularly providing procedures for exploring SNPs from plant genomes via genomics sequencing techniques. Additionally, strategies for SNP genotyping, quality assessment, and analysis approaches, including population genomics, genome-wide association studies, and genomic prediction, are also discussed. This chapter will enable plant geneticists, molecular breeders, and genomics researchers to have a complete guide for using SNPs for various applications for different plant species.

Indexed as

Genome, PlantGenomicsPlantsPolymorphism, Single NucleotideGenome-Wide Association StudyGenotypeGenotyping TechniquesHigh-Throughput Nucleotide SequencingPlant BreedingCrop improvementMarker-assisted selectionNext-generation sequencingPlant genomicsSingle nucleotide polymorphisms

Identifiers

What OpenQuestion holds

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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.