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Status |
Public on Mar 06, 2020 |
Title |
DS10:A4a transgenic seeds |
Sample type |
SRA |
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Source name |
Seeds
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Organism |
Nicotiana tabacum |
Characteristics |
tissue: Seeds time: 1 dpi genotype/variation: DS10:A4a
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Treatment protocol |
For sequencing, which was performed twice for each RNA sample, we used in each case equimolecular mixtures of 4, replicate RNA samples were prepared from corresponding pairs of transgenic (T: 35S:A9, DS10:A9 or DS10:A4a), and sibling non-transgenic (NT) lines
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Growth protocol |
Tobacco (Nicotiana tabacum L. var. Xanthi) was used for all experiments. Seed sterilization, germination and seedling growth under controlled photoperiodic illumination conditions of 16 h light/8h dark, and 100 µmol m-2 s-1 fluence intensity for white-light, were as previously described (Prieto-Dapena et al., 2017 and references therein).
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Extracted molecule |
total RNA |
Extraction protocol |
Total RNA samples were prepared by the LiCl method from 3-week old seedlings (in the 35:A9 experiment), or from seeds (in the DSA10:A9 and DS10:A4a experiments) Library preparation and sequencing on an Illumina HiSeq 4000 sequencer using 100-bp paired-end reads protocol were performed by BGI Co., Ltd (https://en.genomics.cn/). Agilent 2100 Bioanaylzer and ABI StepOnePlus Real-Time PCR were used in quantification and in qualification of the sample libraries.
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Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina HiSeq 4000 |
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Data processing |
Sequenced reads were trimmed to remove adaptor sequences, and masked to remove low-complexity or low-quality sequence (reads in which N bases were more than 5% abundant, or base quality was lower than 15 for more than 20% of the bases were removed) The sequenced "clean reads" from each sample (at least 4.44 Gb bases) were mapped to a Nicotiana tabacum reference genome using HISAT (v0.1.6-beta) with default parameters except for: --phred64 --sensitive --no-discordant --no-mixed -I 1 -X 1000 Novel transcripts prediction was performed using StringTie (v1.04) with default parameters except for: -f 0.3 -j 3 -c 5 -g 100 -s 10000 -p 8 CuffCompare (v2.2.1) with default parameters except for -p 12 was used to compare reconstructed transcripts to reference annotation, and coding potential of novel transcripts ('u','i','o','j' CuffCompare class code types) was predicted using CPC (v0.9-r2) with default parameters The coding novel transcripts were merged with the reference Nicotiana tabacum transcriptome to get a complete reference to be used in gene expression analyses Clean reads were mapped to the complete reference using Bowtie2 (v2.2.5) with default parameters except for -q --phred64 --sensitive --dpad 0 --gbar 99999999 --mp 1,1 --np 1 --score-min L,0,-0.1 -I 1 -X 1000 --no-mixed --no-discordant -p 1 -k 200 Gene expression levels for each sample were calculated with RSEM (v1.2.12) with default parameters Using PoissonDis (Poisson Distribution), the expression results were analyzed to detect Differentially Expressed Genes (DEG) between the corresponding pairs of non-transgenic and transgenic samples. We considered genes with a Fold Change (Log2) > 1.5 as DEG Genome_build: Nicotiana tabacum (Ntab-BX_AWOK-SS.fa.gz/Ntab-BX_AWOK-SS_Basma.mrna.annot.fna) Supplementary_files_format_and_content: Processed tables showing the functional annotation of genes, the gene expression levels per condition and the output of the differential gene expression analyses bvetween each pair of conditions
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Submission date |
Nov 22, 2019 |
Last update date |
Mar 06, 2020 |
Contact name |
Jose Luis Ruiz Rodriguez |
Organization name |
IPBLN-CSIC
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Street address |
Avda. del Conocimiento 17. P. T. Ciencias de la Salud
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City |
Granada |
State/province |
Granada |
ZIP/Postal code |
18016 |
Country |
Spain |
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Platform ID |
GPL25653 |
Series (1) |
GSE140837 |
Next Generation Sequencing analysis of the effects of seed HSF (HaHSFA9 or HSFA4a) overexpression in transgenic tobacco |
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Relations |
BioSample |
SAMN13352625 |
SRA |
SRX7201999 |
Supplementary data files not provided |
SRA Run Selector |
Raw data are available in SRA |
Processed data are available on Series record |
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