Establishing an open-source platform for unravelling the genetics of macadamia: integration of linkage and genome maps.
Dataset
Computational data for: Chromosome-scale assembly and annotation of the macadamia genome
Southern Cross University
2020
DOI:
https://doi.org/10.25918/5e320fd1e5f06
DataCC BY V4.0, Open Access
DataCC BY V4.0, Open Access
DataCC BY V4.0, Open Access
DataCC BY V4.0, Open Access
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Abstract
Details
- Title
- Computational data for: Chromosome-scale assembly and annotation of the macadamia genome
- Creators
- Catherine J Nock (Chief Investigator) - Southern Cross University, AustraliaAbdul Baten (Data Collector) - Southern Cross University, AustraliaKirsty S Langdon (Data Collector) - Southern Cross University, AustraliaRamil P Mauleon (Data Collector) - Southern Cross University, AustraliaBruce L Topp (Data Collector) - University of Queensland, AustraliaCraig Hardner (Data Collector) - University of Queensland, AustraliaAgnelo Furtado (Data Collector) - University of Queensland, AustraliaRobert J Henry (Data Collector) - University of Queensland, AustraliaGraham J King (Data Collector) - Southern Cross University, Australia
- Comment
We have generated an anchored, chromosome-scale genome assembly for M. integrifolia cultivar HAES 741 (4,094 scaffolds, 745 Mb, N50 413 kb) using a combination of high coverage Illumina short and PacBio long read sequences. Scaffolds were anchored to pseudo-chromosomes using seven genetic linkage maps derived from progeny with HAES 741 parentage. This assembly has improved contiguity and coverage, with >120 Gb of new sequence in comparison to the first draft (Nock et al. 2016). Following annotation, a repeat content of 55% and 34,274 protein-coding genes were predicted.
A full description of the process for generating the data is provided in the manuscript “Chromosome-scale assembly and annotation of the macadamia genome”
- Publisher
- Southern Cross University
- Grants
- Horticulture Innovation Australia Limited, MC15008, Hort Innovation
- Identifiers
- 1049; 991012821204402368
- Academic Unit
- Faculty of Science and Engineering; Science; Southern Cross Plant Science; Southern Cross University
- Language
- English
- Resource Type
- Dataset