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Genome Size and the Evolution of New Genes

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

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Related Experiment Video

Updated: Jun 3, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

Analysis of Genomic-Transcriptomic Dynamics Delineates Key Molecular Signatures Modulating Seed Size and Weight in

Asish Kumar Padhy¹, Sangeeta Singh¹, Kuldeep Tripathi²

¹BRIC- National Institute of Plant Genome Research, New Delhi, India.

Plant, Cell & Environment

|June 10, 2025

Summary

Identifying lentil seed size genes is key for crop yield. This study combined QTL mapping, GWAS, and transcriptomics to pinpoint LcWDL1, a promising gene for enhancing lentil seed traits through breeding.

Keywords:

integrated analysis lentil seed size seed weight

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Last Updated: Jun 3, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Published on: August 5, 2020

Area of Science:

Plant genetics
Agricultural science
Molecular biology

Background:

Seed size and weight are critical for lentil productivity.
Identifying genetic factors controlling these traits is essential for crop improvement.

Purpose of the Study:

To identify robust genetic determinants of seed size and weight in lentil.
To validate candidate genes using an integrated approach.

Main Methods:

Quantitative Trait Loci (QTL) mapping
Genome-Wide Association Study (GWAS)
Comparative transcriptome analysis
Candidate gene-based association analysis

Main Results:

Three stable QTLs and 42 marker-trait associations (MTAs) were identified.
Integrated analysis revealed nine SNPs within robust QTLs, narrowing down to 32 candidate genes.
LcWDL1 was identified as the most promising candidate gene, significantly associated with seed size and weight.

Conclusions:

The study successfully identified LcWDL1 as a key regulator of lentil seed size.
The identified genomic loci and LcWDL1 provide valuable targets for molecular breeding and gene editing to enhance lentil productivity.