Evidence map›Paper›PMID 30169500›Full record

ArticlePloS one2018

Ultra-high-throughput DArTseq-based silicoDArT and SNP markers for genomic studies in macadamia.

Mobashwer Alam, Jodi Neal, Katie O'Connor, Andrzej Kilian, Bruce Topp

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
16.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 108 citations in OpenAlex.

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  19. Analysis of phylogenetic relationships inFrontiers in plant science · 2024
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  20. Genomic prediction for rust resistance in pea.Frontiers in plant science · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Mobashwer AlamCentre for Horticultural Science, Queensland Alliance for Agriculture and Food Innovation, the University of Queensland, Nambour, Queensland, Australia.ORCID 0000-0003-1502-5617
Jodi NealDepartment of Agriculture and Forestry, Maroochy Research Facility, Nambour, Queensland, Australia.
Katie O'ConnorCentre for Horticultural Science, Queensland Alliance for Agriculture and Food Innovation, the University of Queensland, Nambour, Queensland, Australia.
Andrzej KilianDiversity Arrays Technology Pty Ltd, University of Canberra, Monana St., Canberra ACT, Australia.
Bruce ToppCentre for Horticultural Science, Queensland Alliance for Agriculture and Food Innovation, the University of Queensland, Nambour, Queensland, Australia.
The University of Queensland · AUUniversity of Canberra · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macadamia (Macadamia integrifolia, M. tetraphylla and hybrids) is an Australian native nut crop and has a significant economic value in the food industries worldwide. Long juvenility along with traditional breeding strategies impede quick genetic improvement of this crop. The existing cultivars constitute only second to fourth generation of the wild germplasm in the rainforest. The utilisation of molecular markers for genomic selection and genome-wide association studies may accelerate genetic gains. Identification of a robust, reproducible, and cost-effective marker system is instrumental in increasing the efficiency of genomic studies. This study is the first to report the potential of two ultra-high-throughput diversity array technology (DArT) markers (silicoDArT and SNP) in macadamia. Both markers were used to identify the genetic diversity and population structure in 80 macadamia cultivars. Parentage analysis of 25 scions in a rootstock trial was conducted to confirm plant identity where recorded identities did not corroborate with phenotypic field observations. A total of 22,280 silicoDArT and 7,332 SNP markers were reported, of which 11,526 silicoDArT and 3,956 SNP markers were used for analyses after screening with quality control parameters including >95% call rate, >95% reproducibility, and >0.05 one ratio. The average polymorphic information content (PIC) values of silicoDArT and SNP markers were 0.29 and 0.21, respectively. Genetic variance among the cultivars ranged from 0.003 to 0.738 in silicoDArT and 0.004 to 0.412 in SNP markers. Four distinct population groups were identified from SNP data analysis. Most of the accessions used in this study were descended from two or more populations. Cluster analysis clearly separated genotypes of distinct origins, such as the Hawaii Agricultural Experiment Station and Hidden Valley Plantation accessions. Two wild accessions of Macadamia jansenii and M. ternifolia were found to be distantly related to the cultivars. Wild germplasm individuals and their hybrids with cv. '660' formed separate clusters, suggesting that crossing between wild and cultivated genepools can extend genetic diversity. DArTseq-based SNP markers were successfully utilized to confirm the genetic identity of 25 scions in a rootstock trial. Our study suggests that DArT platforms are a robust system for the facilitation of genomic studies with regard to macadamia.

Indexed as

AustraliaCluster AnalysisGenetic MarkersGenetic VariationGenome, PlantGenome-Wide Association StudyGenomicsGenotypeMacadamiaOligonucleotide Array Sequence AnalysisPhylogenyPlant BreedingPolymorphism, Single NucleotideGenetic Markers

Identifiers

PMID30169500
PMCPMC6118395
OpenAlexW2888887765

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.