Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/137396
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Type: | Journal article |
Title: | A chromosome-level genome assembly of Plantago ovata |
Author: | Herliana, L. Schwerdt, J.G. Neumann, T.R. Severn-Ellis, A. Phan, J.L. Cowley, J.M. Shirley, N.J. Tucker, M.R. Bianco-Miotto, T. Batley, J. Watson-Haigh, N.S. Burton, R.A. |
Citation: | Scientific Reports, 2023; 13(1):1528-1-1528-14 |
Publisher: | Nature Publishing Group |
Issue Date: | 2023 |
ISSN: | 2045-2322 2045-2322 |
Statement of Responsibility: | Lina Herliana, Julian G. Schwerdt, Tycho R. Neumann, Anita Severn-Ellis, Jana L. Phan, James M. Cowley, Neil J. Shirley, Matthew R.Tucker, Tina Bianco, Miotto, Jacqueline Batley, Nathan S. Watson, Haigh, Rachel A. Burton |
Abstract: | Plantago ovata is cultivated for production of its seed husk (psyllium). When wet, the husk transforms into a mucilage with properties suitable for pharmaceutical industries, utilised in supplements for controlling blood cholesterol levels, and food industries for making gluten-free products. There has been limited success in improving husk quantity and quality through breeding approaches, partly due to the lack of a reference genome. Here we constructed the frst chromosome-scale reference assembly of P. ovata using a combination of 5.98 million PacBio and 636.5 million Hi-C reads. We also used corrected PacBio reads to estimate genome size and transcripts to generate gene models. The fnal assembly covers ~ 500 Mb with 99.3% gene set completeness. A total of 97% of the sequences are anchored to four chromosomes with an N50 of~ 128.87 Mb. The P. ovata genome contains 61.90% repeats, where 40.04% are long terminal repeats. We identifed 41,820 protein-coding genes, 411 non-coding RNAs, 108 ribosomal RNAs, and 1295 transfer RNAs. This genome will provide a resource for plant breeding programs to, for example, reduce agronomic constraints such as seed shattering, increase psyllium yield and quality, and overcome crop disease susceptibility. |
Keywords: | Data mining; Data processing; Genome; Genomics; Plant molecular biology |
Rights: | © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
DOI: | 10.1038/s41598-022-25078-5 |
Grant ID: | http://purl.org/au-research/grants/arc/CE110001007 http://purl.org/au-research/grants/arc/CE140100008 http://purl.org/au-research/grants/arc/LP180100971 |
Published version: | http://dx.doi.org/10.1038/s41598-022-25078-5 |
Appears in Collections: | Agriculture, Food and Wine publications |
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hdl_137396.pdf | Published version | 2.03 MB | Adobe PDF | View/Open |
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