Evidence map›Paper›PMID 31852940›Full record

ArticleScientific reports2019

Flow cytometric characterisation of the complex polyploid genome of Saccharum officinarum and modern sugarcane cultivars.

Cushla J Metcalfe, Jingchuan Li, Debora Giorgi, Jaroslav Doležel, Nathalie Piperidis, Karen S Aitken

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Flow Cytometric Analysis and Sorting of Plant Chromosomes.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  5. Article
  6. Chromosome analysis and sorting.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2021
    Review
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.

Cushla J MetcalfeCSIRO Agriculture and Food, Queensland Biosciences Precinct, 306 Carmody Rd, St Lucia, QLD 4067, Australia. cushla.metcalfe@csiro.au.
Jingchuan LiCSIRO Agriculture and Food, Queensland Biosciences Precinct, 306 Carmody Rd, St Lucia, QLD 4067, Australia.
Debora GiorgiENEA, CASACCIA Research Center, Biotech Laboratory, Via Anguillarese 301, 00123, Rome, Italy.
Jaroslav DoleželInstitute of Experimental Botany, Czech Academy of Sciences, Centre of the Region Hana for Biotechnological and Agricultural Research, Šlechtitelů 31, 779 00, Olomouc, Czech Republic.
Nathalie PiperidisSRA Limited, Mackay, QLD, Australia.
Karen S AitkenCSIRO Agriculture and Food, Queensland Biosciences Precinct, 306 Carmody Rd, St Lucia, QLD 4067, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugarcane (Saccharum spp.) is a globally important crop for sugar and bioenergy production. Its highly polyploid, complex genome has hindered progress in understanding its molecular structure. Flow cytometric sorting and analysis has been used in other important crops with large genomes to dissect the genome into component chromosomes. Here we present for the first time a method to prepare suspensions of intact sugarcane chromosomes for flow cytometric analysis and sorting. Flow karyotypes were generated for two S. officinarum and three hybrid cultivars. Five main peaks were identified and each genotype had a distinct flow karyotype profile. The flow karyotypes of S. officinarum were sharper and with more discrete peaks than the hybrids, this difference is probably due to the double genome structure of the hybrids. Simple Sequence Repeat (SSR) markers were used to determine that at least one allelic copy of each of the 10 basic chromosomes could be found in each peak for every genotype, except R570, suggesting that the peaks may represent ancestral Saccharum sub genomes. The ability to flow sort Saccharum chromosomes will allow us to isolate and analyse chromosomes of interest and further examine the structure and evolution of the sugarcane genome.

Indexed as

Genome, PlantPolyploidyAllelesCell CycleChromosomes, PlantDNA, PlantFlow CytometryFluorescenceHydroxyureaKaryotypeKineticsPlant RootsSaccharumDNA, PlantHydroxyurea

Identifiers

PMID31852940
PMCPMC6920420

What OpenQuestion holds

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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.