Literature DB >> 33828924

Combining transcriptome analysis and GWAS for identification and validation of marker genes in the Physalis peruviana-Fusarium oxysporum pathosystem.

Gina A Garzón-Martínez1, Francy L García-Arias1, Felix E Enciso-Rodríguez1, Mauricio Soto-Suárez1, Carolina González1, Aureliano Bombarely2, Luz Stella Barrero1, Jaime A Osorio Guarín1.   

Abstract

Vascular wilt, caused by the pathogen Fusarium oxysporum f. sp. physali (Foph), is a major disease of cape gooseberry (Physalis peruviana L.) in Andean countries. Despite the economic losses caused by this disease, there are few studies related to molecular mechanisms in the P. peruviana-Foph pathosystem as a useful tool for crop improvement. This study evaluates eight candidate genes associated with this pathosystem, using real-time quantitative PCR (RT-qPCR). The genes were identified and selected from 1,653 differentially expressed genes (DEGs) derived from RNA-Seq analysis and from a previous genome-wide association study (GWAS) of this plant-pathogen interaction. Based on the RT-qPCR analysis, the tubuline (TUB) reference gene was selected for its highly stable expression in cape gooseberry. The RT-qPCR validation of the candidate genes revealed the biological variation in their expression according to their known biological function. Three genes related to the first line of resistance/defense responses were highly expressed earlier during infection in a susceptible genotype, while three others were overexpressed later, mostly in the tolerant genotype. These genes are mainly involved in signaling pathways after pathogen recognition, mediated by hormones such as ethylene and salicylic acid. This study provided the first insight to uncover the molecular mechanism from the P. peruviana-Foph pathosystem. The genes validated here have important implications in the disease progress and allow a better understanding of the defense response in cape gooseberry at the molecular level. Derived molecular markers from these genes could facilitate the identification of tolerant/susceptible genotypes for use in breeding schemes.
© 2021 Garzón-Martínez et al.

Entities:  

Keywords:  Cape gooseberry; Fusarium; GWAS; RNAseq; qPCR

Year:  2021        PMID: 33828924      PMCID: PMC7993016          DOI: 10.7717/peerj.11135

Source DB:  PubMed          Journal:  PeerJ        ISSN: 2167-8359            Impact factor:   2.984


  74 in total

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Authors:  P S Yuen; K M Brooks; Y Li
Journal:  Nucleic Acids Res       Date:  2001-03-15       Impact factor: 16.971

Review 2.  The plant immune system.

Authors:  Jonathan D G Jones; Jeffery L Dangl
Journal:  Nature       Date:  2006-11-16       Impact factor: 49.962

3.  Ten new withanolides from Physalis peruviana.

Authors:  Sheng-Tao Fang; Ji-Kai Liu; Bo Li
Journal:  Steroids       Date:  2011-10-10       Impact factor: 2.668

4.  Heterotrimeric G proteins facilitate Arabidopsis resistance to necrotrophic pathogens and are involved in jasmonate signaling.

Authors:  Yuri Trusov; James Edward Rookes; David Chakravorty; David Armour; Peer Martin Schenk; José Ramón Botella
Journal:  Plant Physiol       Date:  2005-12-09       Impact factor: 8.340

5.  Identification and validation of superior housekeeping gene(s) for qRT-PCR data normalization in Agave sisalana (a CAM-plant) under abiotic stresses.

Authors:  Muhammad Bilal Sarwar; Zarnab Ahmad; Batcho Agossa Anicet; Moon Sajid; Bushra Rashid; Sameera Hassan; Mukhtar Ahmed; Tayyab Husnain
Journal:  Physiol Mol Biol Plants       Date:  2020-02-04

6.  Selection of suitable reference genes for qPCR normalization under abiotic stresses and hormone stimuli in carrot leaves.

Authors:  Chang Tian; Qian Jiang; Feng Wang; Guang-Long Wang; Zhi-Sheng Xu; Ai-Sheng Xiong
Journal:  PLoS One       Date:  2015-02-06       Impact factor: 3.240

7.  RNA-seq analysis of the response of the halophyte, Mesembryanthemum crystallinum (ice plant) to high salinity.

Authors:  Hironaka Tsukagoshi; Takamasa Suzuki; Kouki Nishikawa; Sakae Agarie; Sumie Ishiguro; Tetsuya Higashiyama
Journal:  PLoS One       Date:  2015-02-23       Impact factor: 3.240

8.  Transcriptome Analysis by RNA-Seq Reveals Genes Related to Plant Height in Two Sets of Parent-hybrid Combinations in Easter lily (Lilium longiflorum).

Authors:  Jewel Howlader; Arif Hasan Khan Robin; Sathishkumar Natarajan; Manosh Kumar Biswas; Kanij Rukshana Sumi; Cheon Young Song; Jong-In Park; Ill-Sup Nou
Journal:  Sci Rep       Date:  2020-06-03       Impact factor: 4.379

9.  Transcriptomic analysis of Petunia hybrida in response to salt stress using high throughput RNA sequencing.

Authors:  Gonzalo H Villarino; Aureliano Bombarely; James J Giovannoni; Michael J Scanlon; Neil S Mattson
Journal:  PLoS One       Date:  2014-04-10       Impact factor: 3.240

10.  RNA-Seq reveals novel genes and pathways associated with hypoxia duration and tolerance in tomato root.

Authors:  Vajiheh Safavi-Rizi; Marco Herde; Christine Stöhr
Journal:  Sci Rep       Date:  2020-02-03       Impact factor: 4.379

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