ArticlePloS one2016
Deciphering Transcriptional Programming during Pod and Seed Development Using RNA-Seq in Pigeonpea (Cajanus cajan).
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Article
- Transcriptome Analysis Reveals Key Pathways and Candidate Genes Controlling Seed Development and Size in Ricebean (Frontiers in genetics · 2021Article
- Understanding the Role of the WRKY Gene Family under Stress Conditions in Pigeonpea (Plants (Basel, Switzerland) · 2019Article
- Gene expression atlas of pigeonpea and its application to gain insights into genes associated with pollen fertility implicated in seed formation.Journal of experimental botany · 2017Article
- A Combined Comparative Transcriptomic, Metabolomic, and Anatomical Analyses of Two Key Domestication Traits: Pod Dehiscence and Seed Dormancy in Pea (Frontiers in plant science · 2017Article
- Cutaneous transcriptome analysis in NIH hairless mice.PloS one · 2017Article
Corrections and comments
- Expression of concern
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Seed development is an important event in plant life cycle that has interested humankind since ages, especially in crops of economic importance. Pigeonpea is an important grain legume of the semi-arid tropics, used mainly for its protein rich seeds. In order to understand the transcriptional programming during the pod and seed development, RNA-seq data was generated from embryo sac from the day of anthesis (0 DAA), seed and pod wall (5, 10, 20 and 30 DAA) of pigeonpea variety "Asha" (ICPL 87119) using Illumina HiSeq 2500. About 684 million sequencing reads have been generated from nine samples, which resulted in the identification of 27,441 expressed genes after sequence analysis. These genes have been studied for their differentially expression, co-expression, temporal and spatial gene expression. We have also used the RNA-seq data to identify important seed-specific transcription factors, biological processes and associated pathways during seed development process in pigeonpea. The comprehensive gene expression study from flowering to mature pod development in pigeonpea would be crucial in identifying candidate genes involved in seed traits directly or indirectly related to yield and quality. The dataset will serve as an important resource for gene discovery and deciphering the molecular mechanisms underlying various seed related traits.
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