ArticleScientific reports2021
Transcriptome analysis of genes involved in starch biosynthesis in developing Chinese chestnut (Castanea mollissima Blume) seed kernels.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Regulatory responses to phosphorus deficiency in pecan (Carya illinoinensis): transcriptomic and microscopic approaches.Journal of plant research · 2026Article
- Proteomic Analysis of Lotus-DerivedPlants (Basel, Switzerland) · 2026Article
- Genomic insights into Castanopsis carlesii and Castanea henryi: flower and fruit development and evolution of NLR genes in the beech-oak family.Molecular horticulture · 2025Article
- Transcriptomic and Metabolic Profiling Reveal the Mechanism of Ovule Development inInternational journal of molecular sciences · 2024Article
- Whole genome sequencing ofFrontiers in plant science · 2024Article
- Genetic Relationships of 118Plants (Basel, Switzerland) · 2023Article
- Transcriptome analysis of differential sugar accumulation in the developing embryo of contrasting twoFrontiers in plant science · 2023Article
- Genome-wide identification and characterization of theFrontiers in plant science · 2023Article
- Understanding the Potential Gene Regulatory Network of Starch Biosynthesis in Tartary Buckwheat by RNA-Seq.International journal of molecular sciences · 2022Article
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7 authors.
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Abstract
Chinese chestnut (Castanea mollissima Blume) seed kernels (CCSK) with high quality and quantity of starch has emerged as a potential raw material for food industry, but the molecular regulatory mechanism of starch accumulation in developing CCSK is still unclear. In this study, we firstly analyzed the fruit development, starch accumulation, and microscopic observation of dynamic accumulation of starch granules of developing CCSK from 10 days after flowering (DAF) to 100 DAF, of which six representative CCSK samples (50-100 DAF) were selected for transcriptome sequencing analysis. Approximately 40 million valid reads were obtained, with an average length of 124.95 bp, which were searched against a reference genome, returning 38,146 unigenes (mean size = 1164.19 bp). Using the DESeq method, 1968, 1573, 1187, 1274, and 1494 differentially expressed unigenes were identified at 60:50, 70:60, 80:70, 90:80 and 100:90 DAF, respectively. The relationship between the unigene transcriptional profiles and starch dynamic patterns in developing CCSK was comparatively analyzed, and the specific unigenes encoding for metabolic enzymes (SUSY2, PGM, PGI, GPT, NTT, AGP3, AGP2, GBSS1, SS1, SBE1, SBE2.1, SBE2.2, ISA1, ISA2, ISA3, and PHO) were characterized to be involved potentially in the biosynthesis of G-1-P, ADPG, and starch. Finally, the temporal transcript profiles of genes encoding key enzymes (susy2, pgi2, gpt1, agp2, agp3, gbss1, ss1, sbe1, sbe2.1, sbe2.2, isa1, isa2, isa3, and pho) were validated by quantitative real-time PCR (qRT-PCR). Our findings could help to reveal the molecular regulatory mechanism of starch accumulation in developing CCSK and may also provide potential candidate genes for increasing starch content in Chinese chestnut or other starchy crops.
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