Insight in the transcriptome data of hairy root disease-causing bacterium-Agrobacterium rhizogenes

Agrobacterium rhizogenes induce the production of the hairy root through the transformation of plant genomes. In this article, we executed the transcriptome of A. rhizogenes through RNA-sequencing. RNA-sequencing of A. rhizogenes generated a total of 2.6 Gb raw data with a 75 bp paired-end sequence....

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Autores principales: Yadav, Akhilesh, Verma, Hariom, Ansari, Waquar Akhter, Singh, Asha Lata, Singh, Major
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Agricultural and Biological Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334392/
https://www.ncbi.nlm.nih.gov/pubmed/32642520
http://dx.doi.org/10.1016/j.dib.2020.105910
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author Yadav, Akhilesh
Verma, Hariom
Ansari, Waquar Akhter
Singh, Asha Lata
Singh, Major
author_facet Yadav, Akhilesh
Verma, Hariom
Ansari, Waquar Akhter
Singh, Asha Lata
Singh, Major
author_sort Yadav, Akhilesh
collection PubMed
description Agrobacterium rhizogenes induce the production of the hairy root through the transformation of plant genomes. In this article, we executed the transcriptome of A. rhizogenes through RNA-sequencing. RNA-sequencing of A. rhizogenes generated a total of 2.6 Gb raw data with a 75 bp paired-end sequence. The raw data has been submitted to the SRA database of NCBI with accession number SRR5641651. Reads were generated 2946 unigenes and all unigenes were annotated in the database. The length of transcripts ranged from 90 to 6369 bp, with a median transcript length of 968. The transcripts were annotated through the number of databases to obtain information about SSRs, SNPs, Gene Ontology, Transcription factors, and pathways analysis .
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spelling pubmed-73343922020-07-07 Insight in the transcriptome data of hairy root disease-causing bacterium-Agrobacterium rhizogenes Yadav, Akhilesh Verma, Hariom Ansari, Waquar Akhter Singh, Asha Lata Singh, Major Data Brief Agricultural and Biological Science Agrobacterium rhizogenes induce the production of the hairy root through the transformation of plant genomes. In this article, we executed the transcriptome of A. rhizogenes through RNA-sequencing. RNA-sequencing of A. rhizogenes generated a total of 2.6 Gb raw data with a 75 bp paired-end sequence. The raw data has been submitted to the SRA database of NCBI with accession number SRR5641651. Reads were generated 2946 unigenes and all unigenes were annotated in the database. The length of transcripts ranged from 90 to 6369 bp, with a median transcript length of 968. The transcripts were annotated through the number of databases to obtain information about SSRs, SNPs, Gene Ontology, Transcription factors, and pathways analysis . Elsevier 2020-06-21 /pmc/articles/PMC7334392/ /pubmed/32642520 http://dx.doi.org/10.1016/j.dib.2020.105910 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Agricultural and Biological Science
Yadav, Akhilesh
Verma, Hariom
Ansari, Waquar Akhter
Singh, Asha Lata
Singh, Major
Insight in the transcriptome data of hairy root disease-causing bacterium-Agrobacterium rhizogenes
title Insight in the transcriptome data of hairy root disease-causing bacterium-Agrobacterium rhizogenes
title_full Insight in the transcriptome data of hairy root disease-causing bacterium-Agrobacterium rhizogenes
title_fullStr Insight in the transcriptome data of hairy root disease-causing bacterium-Agrobacterium rhizogenes
title_full_unstemmed Insight in the transcriptome data of hairy root disease-causing bacterium-Agrobacterium rhizogenes
title_short Insight in the transcriptome data of hairy root disease-causing bacterium-Agrobacterium rhizogenes
title_sort insight in the transcriptome data of hairy root disease-causing bacterium-agrobacterium rhizogenes
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334392/
https://www.ncbi.nlm.nih.gov/pubmed/32642520
http://dx.doi.org/10.1016/j.dib.2020.105910
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