Evidence map›Paper›PMID 27855648›Full record

ArticleBMC genomics2016

Genome and transcriptome sequencing characterises the gene space of Macadamia integrifolia (Proteaceae).

Catherine J Nock, Abdul Baten, Bronwyn J Barkla, Agnelo Furtado, Robert J Henry, Graham J King

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.5field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Genome evolution of the ancient hexaploidProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. The Chromosome-Scale Reference Genome ofFrontiers in genetics · 2022
    Article
  9. Article
  10. The genome of the endangeredPlant direct · 2021
    Article
  11. Article
  12. Genome skimming-based simple sequence repeat (SSR) marker discovery and characterization inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 3 institutions in 1 country.

Catherine J NockSouthern Cross Plant Science, Southern Cross University, Military Road, NSW, Lismore, 2480, Australia. cathy.nock@scu.edu.au.
Abdul BatenSouthern Cross Plant Science, Southern Cross University, Military Road, NSW, Lismore, 2480, Australia.
Bronwyn J BarklaSouthern Cross Plant Science, Southern Cross University, Military Road, NSW, Lismore, 2480, Australia.
Agnelo FurtadoQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, Qld, 4072, Australia.
Robert J HenryQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, Qld, 4072, Australia.
Graham J KingSouthern Cross Plant Science, Southern Cross University, Military Road, NSW, Lismore, 2480, Australia.
Southern Cross University · AUAgriculture and Food · AUUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe large Gondwanan plant family Proteaceae is an early-diverging eudicot lineage renowned for its morphological, taxonomic and ecological diversity. Macadamia is the most economically important Proteaceae crop and represents an ancient rainforest-restricted lineage. The family is a focus for studies of adaptive radiation due to remarkable species diversification in Mediterranean-climate biodiversity hotspots, and numerous evolutionary transitions between biomes. Despite a long history of research, comparative analyses in the Proteaceae and macadamia breeding programs are restricted by a paucity of genetic information. To address this, we sequenced the genome and transcriptome of the widely grown Macadamia integrifolia cultivar 741.

resultsOver 95 gigabases of DNA and RNA-seq sequence data were de novo assembled and annotated. The draft assembly has a total length of 518 Mb and spans approximately 79% of the estimated genome size. Following annotation, 35,337 protein-coding genes were predicted of which over 90% were expressed in at least one of the leaf, shoot or flower tissues examined. Gene family comparisons with five other eudicot species revealed 13,689 clusters containing macadamia genes and 1005 macadamia-specific clusters, and provides evidence for linage-specific expansion of gene families involved in pathogen recognition, plant defense and monoterpene synthesis. Cyanogenesis is an important defense strategy in the Proteaceae, and a detailed analysis of macadamia gene homologues potentially involved in cyanogenic glycoside biosynthesis revealed several highly expressed candidate genes.

conclusionsThe gene space of macadamia provides a foundation for comparative genomics, gene discovery and the acceleration of molecular-assisted breeding. This study presents the first available genomic resources for the large basal eudicot family Proteaceae, access to most macadamia genes and opportunities to uncover the genetic basis of traits of importance for adaptation and crop improvement.

Indexed as

Genome, PlantGenomicsTranscriptomeComputational BiologyGene OntologyGlycosidesHigh-Throughput Nucleotide SequencingMacadamiaMolecular Sequence AnnotationMultigene FamilyGlycosidesCropGene spaceGenomeMacadamiaProteaceaeRainforestTranscriptome

Identifiers

PMID27855648
PMCPMC5114810
OpenAlexW2551820791

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.