Literature DB >> 30203620

A Prunus persica genome-wide RNA-seq approach uncovers major differences in the transcriptome among chilling injury sensitive and non-sensitive varieties.

Ricardo Nilo-Poyanco1, Paula Vizoso2, Dayan Sanhueza3, Iván Balic3,4, Claudio Meneses3,5, Ariel Orellana3,5, Reinaldo Campos-Vargas3.   

Abstract

Chilling injury represents a major constrain for crops productivity. Prunus persica, one of the most relevant rosacea crops, have early season varieties that are resistant to chilling injury, in contrast to late season varieties, which display chilling symptoms such as mealiness (dry, sandy fruit mesocarp) after prolonged storage at chilling temperatures. To uncover the molecular processes related to the ability of early varieties to withstand mealiness, postharvest and genome-wide RNA-seq assessments were performed in two early and two late varieties. Differences in juice content and ethylene biosynthesis were detected among early and late season fruits that became mealy after exposed to prolonged chilling. Principal component and data distribution analysis revealed that cold-stored late variety fruit displayed an exacerbated and unique transcriptome profile when compared to any other postharvest condition. A differential expression analysis performed using an empirical Bayes mixture modeling approach followed by co-expression and functional enrichment analysis uncover processes related to ethylene, lipids, cell wall, carotenoids and DNA metabolism, light response, and plastid homeostasis associated to the susceptibility or resistance of P. persica varieties to chilling stress. Several of the genes related to these processes are in quantitative trait loci (QTL) associated to mealiness in P. persica. Together, these analyses exemplify how P. persica can be used as a model for studying chilling stress in plants.
© 2018 Scandinavian Plant Physiology Society.

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Year:  2018        PMID: 30203620     DOI: 10.1111/ppl.12831

Source DB:  PubMed          Journal:  Physiol Plant        ISSN: 0031-9317            Impact factor:   4.500


  6 in total

1.  Generation of fruit postharvest gene datasets and a novel motif analysis tool for functional studies: uncovering links between peach fruit heat treatment and cold storage responses.

Authors:  Mauro Gismondi; Lucas D Daurelio; Claudia Maiorano; Laura L Monti; Maria V Lara; Maria F Drincovich; Claudia A Bustamante
Journal:  Planta       Date:  2020-01-16       Impact factor: 4.116

2.  Genome-Wide Identification and Characterization of Glycosyltransferase Family 47 in Cotton.

Authors:  Aimin Wu; Pengbo Hao; Hengling Wei; Huiru Sun; Shuaishuai Cheng; Pengyun Chen; Qiang Ma; Lijiao Gu; Meng Zhang; Hantao Wang; Shuxun Yu
Journal:  Front Genet       Date:  2019-09-11       Impact factor: 4.599

3.  Shotgun proteomics of peach fruit reveals major metabolic pathways associated to ripening.

Authors:  Ricardo Nilo-Poyanco; Carol Moraga; Gianfranco Benedetto; Ariel Orellana; Andrea Miyasaka Almeida
Journal:  BMC Genomics       Date:  2021-01-06       Impact factor: 3.969

4.  Comparative transcriptomic analyses of citrus cold-resistant vs. sensitive rootstocks might suggest a relevant role of ABA signaling in triggering cold scion adaption.

Authors:  Amparo Primo-Capella; María Ángeles Forner-Giner; Mary-Rus Martínez-Cuenca; Javier Terol
Journal:  BMC Plant Biol       Date:  2022-04-22       Impact factor: 5.260

5.  Identification of DNA Methylation and Transcriptomic Profiles Associated With Fruit Mealiness in Prunus persica (L.) Batsch.

Authors:  Karin Rothkegel; Alonso Espinoza; Dayan Sanhueza; Victoria Lillo-Carmona; Aníbal Riveros; Reinaldo Campos-Vargas; Claudio Meneses
Journal:  Front Plant Sci       Date:  2021-06-10       Impact factor: 5.753

Review 6.  Primary Metabolism in Fresh Fruits During Storage.

Authors:  Stefano Brizzolara; George A Manganaris; Vasileios Fotopoulos; Christopher B Watkins; Pietro Tonutti
Journal:  Front Plant Sci       Date:  2020-02-19       Impact factor: 5.753

  6 in total

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