Analysis and comprehensive comparison of PacBio and nanopore-based RNA sequencing of the Arabidopsis transcriptome
Background: The number of studies using third-generation sequencing using Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT) is rapidly increasing in many different research areas. Among them, plant full-length single-molecule transcriptome studies have mostly used PacBio sequencing, whereas ONT is rarely used. Therefore, in this study, we examined ONT RNA sequencing methods in plants. We performed a detailed evaluation of reads from PacBio, Nanopore direct cDNA (ONT Dc), and Nanopore PCR cDNA (ONT Pc) sequencing including characteristics of raw data and identification of transcripts. In addition, matched Illumina data were generated for comparison.
Results: ONT Pc showed overall better raw data quality, whereas PacBio generated longer read lengths. In the transcriptome analysis, PacBio and ONT Pc performed similarly in transcript identification, simple sequence repeat analysis, and long non-coding RNA prediction. PacBio was superior in identifying alternative splicing events, whereas ONT Pc could estimate transcript expression levels.
Conclusions: This paper made a comprehensive comparison of PacBio and nanopore-based RNA sequencing of the Arabidopsis transcriptome, the results indicate that ONT Pc is more cost-effective for generating extremely long reads and can characterise the transcriptome as well as quantify transcript expression. Therefore,
ONT Pc is a new cost-effective and worthwhile method for full-length single-molecule transcriptome analysis in plants.
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Posted 28 May, 2020
Received 31 May, 2020
Received 31 May, 2020
On 19 May, 2020
Invitations sent on 19 May, 2020
On 19 May, 2020
On 19 May, 2020
On 19 May, 2020
Received 19 May, 2020
On 18 May, 2020
On 18 May, 2020
Received 31 Mar, 2020
On 31 Mar, 2020
Received 12 Mar, 2020
On 11 Mar, 2020
Received 07 Mar, 2020
On 28 Feb, 2020
On 24 Feb, 2020
Invitations sent on 30 Dec, 2019
On 18 Dec, 2019
On 17 Dec, 2019
On 17 Dec, 2019
On 16 Dec, 2019
Analysis and comprehensive comparison of PacBio and nanopore-based RNA sequencing of the Arabidopsis transcriptome
Posted 28 May, 2020
Received 31 May, 2020
Received 31 May, 2020
On 19 May, 2020
Invitations sent on 19 May, 2020
On 19 May, 2020
On 19 May, 2020
On 19 May, 2020
Received 19 May, 2020
On 18 May, 2020
On 18 May, 2020
Received 31 Mar, 2020
On 31 Mar, 2020
Received 12 Mar, 2020
On 11 Mar, 2020
Received 07 Mar, 2020
On 28 Feb, 2020
On 24 Feb, 2020
Invitations sent on 30 Dec, 2019
On 18 Dec, 2019
On 17 Dec, 2019
On 17 Dec, 2019
On 16 Dec, 2019
Background: The number of studies using third-generation sequencing using Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT) is rapidly increasing in many different research areas. Among them, plant full-length single-molecule transcriptome studies have mostly used PacBio sequencing, whereas ONT is rarely used. Therefore, in this study, we examined ONT RNA sequencing methods in plants. We performed a detailed evaluation of reads from PacBio, Nanopore direct cDNA (ONT Dc), and Nanopore PCR cDNA (ONT Pc) sequencing including characteristics of raw data and identification of transcripts. In addition, matched Illumina data were generated for comparison.
Results: ONT Pc showed overall better raw data quality, whereas PacBio generated longer read lengths. In the transcriptome analysis, PacBio and ONT Pc performed similarly in transcript identification, simple sequence repeat analysis, and long non-coding RNA prediction. PacBio was superior in identifying alternative splicing events, whereas ONT Pc could estimate transcript expression levels.
Conclusions: This paper made a comprehensive comparison of PacBio and nanopore-based RNA sequencing of the Arabidopsis transcriptome, the results indicate that ONT Pc is more cost-effective for generating extremely long reads and can characterise the transcriptome as well as quantify transcript expression. Therefore,
ONT Pc is a new cost-effective and worthwhile method for full-length single-molecule transcriptome analysis in plants.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7