Keywords
Abiotic stress, Genome assembly, Halophyte, Nanopore, NGS, Salt stress, Wild Oryza, Whole genome sequencing
This article is included in the Nanopore Analysis gateway.
This article is included in the Agriculture, Food and Nutrition gateway.
This article is included in the Genomics and Genetics gateway.
Abiotic stress, Genome assembly, Halophyte, Nanopore, NGS, Salt stress, Wild Oryza, Whole genome sequencing
In this revision, we have addressed all the issues raised by the referee. In additions, we have made few grammatical corrections. We revised the manuscript as a result of reanalysis of the data. We have also improved clarity in the Methods regarding assembly of the genome. Further, as per the suggestions of the referee as well as requirement, we incorporated 6 more references.
To read any peer review reports and author responses for this article, follow the "read" links in the Open Peer Review table.
Soil salinity is a major abiotic stress of rice cultivation globally (Molla et al., 2015), and rice cultivation areas under soil salinity stress are increasing gradually. Genetic potential for salt tolerance of rice that exists among the natural population has been largely exploited, and alternative useful alleles may further enhance salinity tolerance. Wild species are a potential source of many useful genes and QTLs that may not be present in the primary gene pool of the domesticated species.
Oryza coarctata, known as Asian wild rice, grows naturally in the coastal region of South-East Asian countries. It flowers and set seeds under as high as 40 E.Ce dS m-1 saline soil (Bal & Dutt, 1986). It is the only species in the genus Oryza that is halophyte in nature. However, with the exception of one transcriptomic (Garg et al., 2014) and one miRNA (Mondal et al., 2015) experiment, no large scale generation of any other genomic resource is available for this important species, although several pinitol biosynthesis pathway genes have been cloned to study the functional genomics (Sengupta & Majumder, 2009).
The plant was collected from its native place, Sundarban delta of West Bengal, India (21°.36'N and 88°.15' E) and established at our institute Net house through clonal propagation. To determine the genome size, 20 mg of young leaf tissue from Net house grown plants was chopped into small pieces and stained with RNase containing propidium iodide (50 μg/ml) (BD Science, India) as per the protocol of Dolezel et al. (2007). The samples were filtered through a 40-μM mesh sieve (Corning, USA), before analysis in (CFM) BD FACS Calibur (BD Biosciences, San Jose, CA, USA). Pisium sativum leaf was used as standard for calculating the genome size. Further, high-quality genomic DNA from 100 mg young leaf of a single plant was extracted using CTAB method (Ganie et al., 2016) for the preparation of various genomic DNA libraries. We used standard Illumina HiSeq 4000 platform (San Diego, CA, USA) to construct 151-bp paired-end libraries and four mate-pair libraries of four different sizes (average of 2, 4, 6 and 8 kb size). In addition, we also used third generation sequencing (Oxford Nanopore) technology for better assembly. Sequencing was performed on MinION Mk1b (Oxford Nanopore Technologies, Oxford, UK) using SpotON flow cell (R9.4) in a 48h sequencing protocol on MinKNOW 1.4.32. Base calling was performed using Albacore. Base called reads were processed using poRe version 0.24 (Watson et al., 2015) and poretools version 0.6.0 (Loman & Quinlan, 2014). Assembly of the high quality reads was performed using PLATANUS v1.2.4 (Kajitani et al., 2014) and SSPACE v3.0 (Boetzer et al., 2011) with default parameter. The simple sequence repeats (SSRs) of each scaffold were identified by MISA perl script (Thiel et al., 2003). Gene model prediction was done by ab initio gene predictor AUGUSTUS 3.1 (Stanke & Waak, 2003) and sequence evidence based annotation pipeline, MAKER v2.31.8 (Campbell et al., 2014) with O. sativa ssp. japonica as reference gene model. The protein-coding genes were annotated by using BLAST based approach against a database containing functional plant genes downloaded from NCBI with Blast2GO (version 4.01) (Conesa & Gotz, 2008). Genes with significant hits were assigned with GO (Gene Ontology) terms and EC (Enzyme Commission) numbers. InterProScan search and pathway analyses with KEGG database were also performed by using Blast2GO. Non-coding RNAs, such as miRNA, tRNA, rRNA, snoRNA, snRNA, were identified by adopting Infernal v1.1.2 (Nawrocki & Eddy, 2013) using Rfam database (release 9.1) (Nawrocki et al., 2015) and snoscan distribution. Transfer RNA was predicted using tRNAscan-SE v 1.23 (Lowe & Eddy, 1997)
The O. coarctata genome (2n=4X=48; KKLL; Sanchez et al., 2013) is self-pollinated, (Sarkar et al., 1993) tetraploid plant with a genome size estimated by flow cytometry is found to be approximately 665Mb. The Illumina 4000 GA IIx sequencer pair-end generated 123.78 Gb data. Further four mate-pair libraries together generated 36.54 Gb and Nanopore generated 6.35 Gb sequence data. Hence, we achieved 250.66 X depth of the genome of O. coarctata. The final assembly generated 58362 numbers of scaffolds with a minimum length of 200 bp to maximum length of 7,855,609 bp and 1,858,627 bp N50 value, making a total scaffold length of 569994164 (around 570 Mb) assembled genome, resulting in 85.71% genome coverage. It has been calculated that data contain very small amount of non-ATGC character. Further, we also found that the 19.89% of the assembled genome is repetitive in nature. We also identified approximately 5512 different non-coding RNAs and around 230,968 SSRs. Gene ontology analysis identified several salt responsive genes.
Raw sequence data are available at NCBI SRA under the BioProject ID: PRJNA396417.
TKM is grateful to Mr Sukdev Nath, who provided the planting material. TRS is thankful to the DST, Govt. of India for JC Bose National Fellowship. The authors are thankful to M/S Genotypic Technology Private Limited, Bengaluru, India for sequencing work and M/S BD Biosciences, India for Flow Cytometer work.
Views | Downloads | |
---|---|---|
F1000Research | - | - |
PubMed Central
Data from PMC are received and updated monthly.
|
- | - |
Competing Interests: No competing interests were disclosed.
Is the rationale for creating the dataset(s) clearly described?
Yes
Are the protocols appropriate and is the work technically sound?
Yes
Are sufficient details of methods and materials provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Yes
Competing Interests: No competing interests were disclosed.
Is the rationale for creating the dataset(s) clearly described?
Yes
Are the protocols appropriate and is the work technically sound?
Yes
Are sufficient details of methods and materials provided to allow replication by others?
Partly
Are the datasets clearly presented in a useable and accessible format?
Yes
Competing Interests: No competing interests were disclosed.
Is the rationale for creating the dataset(s) clearly described?
Yes
Are the protocols appropriate and is the work technically sound?
Yes
Are sufficient details of methods and materials provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Comparative genomics, brassica, polyploidy, regulatory evolution
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | |||
---|---|---|---|
1 | 2 | 3 | |
Version 2 (revision) 15 Dec 17 |
read | ||
Version 1 25 Sep 17 |
read | read | read |
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Already registered? Sign in
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)