Lignin
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1327111 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This study aims to reveal genes related to lignin production in Cenchrus purpureus through RNA-Seq. This species is widely used as forrage for cattle, and for the last years, due to its high biomass yield, has been considered as source to lignocellulosic ethanol. Given those two importances, lignin is a molecule related to low digestibility in cattle and recalcitrance in biofuel production. Eight samples were chosen from previous lignin production and forage quality data; four samples had low lignin production, and four had high lignin production. The highest nodes were collected for RNA extraction using TRIzol reagent, following Jordon-Thaden et a;. (2015) protocol. The cDNA library preparation was generated according to Illumina TruSeq Stranded mRNA Sample Prep kit protocol, and RNA sequencing was performed using HiSeq 2500 sequencer. Quality control was measured by FastQC software v 0.11.8. The sequenced reads were aligned to Cenchrus purpureus genome through STAR software v. 2.5.2b (Dobin et al., 2012). After that, the transcriptome was assembled using Stringtie v 2.0.4 software (Pertea et al., 2015). Salmon v 0.7.2 software (Patro et al., 2017) was used to quantify the sequenced reads. The DEG was identified using DESeq2 package, and genes functions were annotated through Trinotate software (Bryant et al., 2017). In total, approximately 130 million reads were sequenced. The final assembled transcriptome was formed by 101,169 transcripts. The differential expressed genes analysis revealed 52 significatively genes. Here, we highlighted genes related to sterol, L-serine and terpene biosynthetic process.
2021-10-01 | GSE174718 | GEO
Project description:Morus alba L. Raw protein sequence reads and sequence
2024-02-08 | PXD049451 |
Project description:lignin-degrading bacterial communities enriched in laboratory Raw sequence reads
| PRJNA1164422 | ENA
Project description:lignin-degrading bacterial communities enriched in laboratory Raw sequence reads
| PRJNA1156935 | ENA
Project description:This study aims to reveal genes related to lignin production in Urochloa humidicola through RNA-Seq. This species is widely used as forrage for cattle, being some species of Urochloa responsible for 85% of pastures in Brazil. Given this importance, lignin is a molecule directly related to low digestibility in cattle. Eight samples were chosen from previous lignin production and forage quality data; four samples had low lignin production, and four had high lignin production. The second extended leaves were collected for RNA extraction using RNeasy® Plant Mini Kit. The cDNA library preparation was generated according to Illumina TruSeq Stranded mRNA Sample Prep kit protocol, and RNA sequencing was performed using HiSeq 2500 sequencer. Quality control was measured by FastQC software v 0.11.8. As Urochloa humidicola does not have a sequenced genome, a transcriptome assembly was built by two approaches: through Trinity v 2.8.4 (Grabherr et al., 2011), and Stringtie v 2.0.4 software (Pertea et al., 2015), using Urochloa ruziziensis as reference genome. Then, the final transcriptome was assembled using those two de novo assembles by PASA v 2.2 (Haas et al., 2003). Salmon v 0.7.2 software (Patro et al., 2017) was used to quantify the sequenced reads. The DEG was identified using DESeq2 package, and genes functions were annotated through Trinotate software (Bryant et al., 2017). In total, approximately 123 million reads were sequenced. The final assembled transcriptome was formed by 48,695 transcripts. The differential expressed genes analysis revealed 258 significatively genes. Here, we highlighted genes related to flavonoid biosynthetic process, regulation of phenylpropanoid metabolic process, and Myb-like DNA-binding domain.
2021-09-30 | GSE175577 | GEO
Project description:Purpose: To investigate the global impact of lignin perturbation on transcription in plants, we analyzed transcriptomes from rapidly lignifying stem tissue in wild-type Arabidopsis and 13 selected mutants. Methods: RNA-sequencing was conducted to profile the transcriptome in basal stem tissue of Arabidopsis plants. PolyA+ RNA libraries were constructed and paired-end sequencing was performed on Illumina NovaSeq 6000. The sequence reads that passed quality filters were aligned to the TAIR10 reference genome using HISAT2. Gene counts were analyzed using HTSeq-count program and differential gene expression using DESeq2. Results: The whole dataset contains 20974 expressed genes and 5581 differentially expressed genes in at least one mutant (ANOVA, FDR < 0.05, Fold change ≥ 2 fold).
2022-07-15 | GSE206323 | GEO
Project description:lignin degradation active genes studies in aquatic environment Raw sequence reads
| PRJNA511352 | ENA
Project description:lignin degradation genes and groups studies in aquatic environment Raw sequence reads
| PRJNA510688 | ENA
Project description:Lignin is a biopolymer found in plant cell walls that accounts for 30% of the organic carbon in the biosphere. White-rot fungi (WRF) are considered the most efficient organisms at degrading lignin in Nature. While lignin depolymerization by WRF has been exhaustively studied, the possibility that WRF are able to utilize lignin as a carbon source is still a matter of controversy. Here we employ 13C-labeling and systems biology approaches to demonstrate that two WRF, Trametes versicolor and Gelatoporia subvermispora, funnel lignin-derived aromatic compounds into central carbon metabolism via intracellular catabolic pathways. These results provide insights into global carbon cycling in soil ecosystems, and furthermore establishes a foundation for employing WRF in simultaneous lignin depolymerization and bioconversion to bioproducts – a key step towards enabling a sustainable bioeconomy.
2021-01-15 | GSE151629 | GEO
Project description:Transcriptomic analysis was performed on the main inflorescence stems of wild-type and lignin-modified lines growing under the same conditions.
2019-08-08 | GSE125721 | GEO