ArticleScientific reports2020
Maximising recombination across macadamia populations to generate linkage maps for genome anchoring.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Unravel the molecular basis underlying inflorescence color variation inFrontiers in plant science · 2025Article
- Combined analysis of multi-omics reveals the potential mechanism of flower color and aroma formation inFrontiers in plant science · 2022Article
- Macadamia germplasm and genomic database (MacadamiaGGD): A comprehensive platform for germplasm innovation and functional genomics inFrontiers in plant science · 2022Article
- An exploration of assembly strategies and quality metrics on the accuracy of the rewarewa (Knightia excelsa) genome.Molecular ecology resources · 2021Article
- Challenges for FAIR-compliant description and comparison of crop phenotype data with standardized controlled vocabularies.Database : the journal of biological databases and curation · 2021Article
- Discovery of Single Nucleotide Polymorphisms for Resistance to Abnormal Vertical Growth in Macadamia.Frontiers in plant science · 2021Article
- Chromosome-Scale Assembly and Annotation of the Macadamia Genome (G3 (Bethesda, Md.) · 2020Article
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Authors and funding
7 authors.
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Abstract
The Proteaceae genus Macadamia has a recent history of domestication as a commercial nut crop. We aimed to establish the first sequence-based haploid-correlated reference genetic linkage maps for this primarily outcrossing perennial tree crop, with marker density suitable for genome anchoring. Four first generation populations were used to maximise the segregation patterns available within full-sib, biparental and self-pollinated progeny. This allowed us to combine segregation data from overlapping subsets of >4,000 informative sequence-tagged markers to increase the effective coverage of the karyotype represented by the recombinant crossover events detected. All maps had 14 linkage groups, corresponding to the Macadamia haploid chromosome number, and enabled the anchoring and orientation of sequence scaffolds to construct a pseudo-chromosomal genome assembly for macadamia. Comparison of individual maps indicated a high level of congruence, with minor discrepancies satisfactorily resolved within the integrated maps. The combined set of maps significantly improved marker density and the proportion (70%) of the genome sequence assembly anchored. Overall, increasing our understanding of the genetic landscape and genome for this nut crop represents a substantial advance in macadamia genetics and genomics. The set of maps, large number of sequence-based markers and the reconstructed genome provide a toolkit to underpin future breeding that should help to extend the macadamia industry as well as provide resources for the long term conservation of natural populations in eastern Australia of this unique genus.
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