Gene expression atlas of fruit ripening and transcriptome assembly from RNA-seq data in octoploid strawberry (Fragaria x ananassa)

被引:84
|
作者
Sanchez-Sevilla, Jose F. [1 ]
Vallarino, Jose G. [2 ]
Osorio, Sonia [2 ]
Bombarely, Aureliano [3 ]
Pose, David [2 ]
Merchante, Catharina [2 ]
Botella, Miguel A. [2 ]
Amaya, Iraida [1 ]
Valpuesta, Victoriano [2 ]
机构
[1] Ctr Churriana, Inst Andaluz Invest & Formac Agr & Pesquera IFAPA, Malaga, Spain
[2] Univ Malaga, CSIC, Dept Biol Mol & Bioquim, IHSM, Malaga, Spain
[3] Virginia Tech, Dept Hort, Blacksburg, VA 24060 USA
来源
SCIENTIFIC REPORTS | 2017年 / 7卷
关键词
MESSENGER-RNA; RECEPTACLE; GENOME; ETHYLENE; ARABIDOPSIS; INSIGHTS; ACHENE; FAMILY;
D O I
10.1038/s41598-017-14239-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
RNA-seq has been used to perform global expression analysis of the achene and the receptacle at four stages of fruit ripening, and of the roots and leaves of strawberry (Fragaria x ananassa). About 967 million reads and 191 Gb of sequence were produced, using Illumina sequencing. Mapping the reads in the related genome of the wild diploid Fragaria vesca revealed differences between the achene and receptacle development program, and reinforced the role played by ethylene in the ripening receptacle. For the strawberry transcriptome assembly, a de novo strategy was followed, generating separate assemblies for each of the ten tissues and stages sampled. The Trinity program was used for these assemblies, resulting in over 1.4 M isoforms. Filtering by a threshold of 0.3 FPKM, and doing Blastx (E-value < 1 e-30) against the UniProt database of plants reduced the number to 472,476 isoforms. Their assembly with the MIRA program (90% homology) resulted in 26,087 contigs. From these, 91.34 percent showed high homology to Fragaria vesca genes and 87.30 percent Fragaria iinumae (BlastN E-value < 1 e-100). Mapping back the reads on the MIRA contigs identified polymorphisms at nucleotide level, using FREEBAYES, as well as estimate their relative abundance in each sample.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Identifying suitable tools for variant detection and differential gene expression using RNA-seq data
    Dharshini, S. Akila Parvathy
    Taguchi, Y-H
    Gromiha, M. Michael
    GENOMICS, 2020, 112 (03) : 2166 - 2172
  • [32] Using RNA-seq data to select reference genes for normalizing gene expression in apple roots
    Zhou, Zhe
    Cong, Peihua
    Tian, Yi
    Zhu, Yanmin
    PLOS ONE, 2017, 12 (09):
  • [33] Variant calling from RNA-seq data of the brain transcriptome of pigs and its application for allele-specific expression and imprinting analysis
    Oczkowicz, Maria
    Szmatola, Tomasz
    Piorkowska, Katarzyna
    Ropka-Molik, Katarzyna
    GENE, 2018, 641 : 367 - 375
  • [34] RNA-Seq analysis and annotation of a draft blueberry genome assembly identifies candidate genes involved in fruit ripening, biosynthesis of bioactive compounds, and stage-specific alternative splicing
    Gupta, Vikas
    Estrada, April D.
    Blakley, Ivory
    Reid, Rob
    Patel, Ketan
    Meyer, Mason D.
    Andersen, Stig Uggerhoj
    Brown, Allan F.
    Lila, Mary Ann
    Loraine, Ann E.
    GIGASCIENCE, 2015, 4
  • [35] Re-analysis of RNA-seq transcriptome data reveals new aspects of gene activity in Arabidopsis root hairs
    Li, Wenfeng
    Lan, Ping
    FRONTIERS IN PLANT SCIENCE, 2015, 6
  • [36] De novo assembly of the Platycladus orientalis (L.) Franco transcriptome provides insight into the development and pollination mechanism of female cone based on RNA-Seq data
    Zhou, Wei
    Chen, Qi
    Wang, Xiao-Bing
    Hughes, Tyler
    Liu, Jian-Jun
    Zhang, Xin
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [37] Characterization of the transcriptome and gene expression of four different tissues in the ecologically relevant sea urchin Arbacia lixula using RNA-seq
    Perez-Portela, R.
    Turon, X.
    Riesgo, A.
    MOLECULAR ECOLOGY RESOURCES, 2016, 16 (03) : 794 - 808
  • [38] RNA-Seq of Borrelia burgdorferi in Multiple Phases of Growth Reveals Insights into the Dynamics of Gene Expression, Transcriptome Architecture, and Noncoding RNAs
    Arnold, William K.
    Savage, Christina R.
    Brissette, Catherine A.
    Seshu, Janakiram
    Livny, Jonathan
    Stevenson, Brian
    PLOS ONE, 2016, 11 (10):
  • [39] A dual transcript-discovery approach to improve the delimitation of gene features from RNA-seq data in the chicken model
    Orgeur, Mickael
    Martens, Marvin
    Boerno, Stefan T.
    Timmermann, Bernd
    Duprez, Delphine
    Stricker, Sigmar
    BIOLOGY OPEN, 2018, 7 (01):
  • [40] SpliceGrapher: detecting patterns of alternative splicing from RNA-Seq data in the context of gene models and EST data
    Rogers, Mark F.
    Thomas, Julie
    Reddy, Anireddy S. N.
    Ben-Hur, Asa
    GENOME BIOLOGY, 2012, 13 (01):