Evidence map›Paper›PMID 42919016›Full record

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

Development and Validation of SNP Markers for Plant Genomic Studies.

Kannan Shrinithi, Tennyson Jebasingh

Abstract read
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In one paragraph

Article 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.

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0citing papers in PubMed
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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

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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.

Kannan ShrinithiDepartment 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

One of the most useful techniques for studying genetic variations in plants is single-nucleotide polymorphisms (SNPs), which are useful in developing molecular markers for genetic research. In this chapter, the development and validation of SNP markers using targeted resequencing and in silico analysis of genomic resources for plant genomic research and breeding are included. Key steps include genomic DNA isolation, whole-genome resequencing, raw read processing, reference-based alignment, SNP detection, and stringent filtering to identify high-confidence variants. The importance of cross-platform validation, experimental genotyping, and array evaluation is also discussed. Overall, standardized SNP development pipelines provide a robust framework for genetic diversity analysis, linkage mapping, association studies, and marker-assisted selection, thereby accelerating crop improvement programs.

Indexed as

Genome, PlantGenomicsPlantsPolymorphism, Single NucleotideChromosome MappingDNA, PlantGenetic MarkersGenotyping TechniquesSequence Analysis, DNADNA, PlantGenetic MarkersGenomic DNA isolationSingle-nucleotide polymorphismsSNP development pipelines

Identifiers

PMID42919016

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.