Evidence map›Paper›PMID 31655544›Full record

ArticleBMC plant biology2019

Linkage mapping and quantitative trait loci analysis of sweetness and other fruit quality traits in papaya.

Usana Nantawan, Chutchamas Kanchana-Udomkan, Ido Bar, Rebecca Ford

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.5field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 36 citations in OpenAlex.

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  14. Papaya (Genes · 2021
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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

4 authors at 1 institution in 1 country.

Usana NantawanEnvironmental Futures Research Institute, School of Environment and Sciences, Griffith University, 170 Kessels Road Nathan, Nathan, QLD, 4111, Australia.
Chutchamas Kanchana-UdomkanEnvironmental Futures Research Institute, School of Environment and Sciences, Griffith University, 170 Kessels Road Nathan, Nathan, QLD, 4111, Australia. c.kanchana-udomkan@griffith.edu.au.ORCID http://orcid.org/0000-0001-6797-4158
Ido BarEnvironmental Futures Research Institute, School of Environment and Sciences, Griffith University, 170 Kessels Road Nathan, Nathan, QLD, 4111, Australia.
Rebecca FordEnvironmental Futures Research Institute, School of Environment and Sciences, Griffith University, 170 Kessels Road Nathan, Nathan, QLD, 4111, Australia.
Griffith University · AU

Funding

Horticulture Australia PP15000
6 · The paper itself

Abstract

backgroundThe identification and characterisation of quantitative trait loci (QTL) is an important step towards identifying functional sequences underpinning important crop traits and for developing accurate markers for selective breeding strategies. In this study, a genotyping-by-sequencing (GBS) approach detected QTL conditioning desirable fruit quality traits in papaya.

resultsFor this, a linkage map was constructed comprising 219 single nucleotide polymorphism (SNP) loci across 10 linkage groups and covering 509 centiMorgan (cM). In total, 21 QTLs were identified for seven key fruit quality traits, including flesh sweetness, fruit weight, fruit length, fruit width skin freckle, flesh thickness and fruit firmness. Several QTL for flesh sweetness, fruit weight, length, width and firmness were stable across harvest years and individually explained up to 19.8% of the phenotypic variance of a particular trait. Where possible, candidate genes were proposed and explored further for their application to marker-assisted breeding.

conclusionsThis study has extended knowledge on the inheritance and genetic control for key papaya physiological and fruit quality traits. Candidate genes together with associated SNP markers represent a valuable resource for the future of strategic selective breeding of elite Australian papaya cultivars.

Indexed as

Genetic LinkageAustraliaCaricaChromosome MappingFruitGenetic MarkersPhenotypePlant BreedingPolymorphism, Single NucleotideQuantitative Trait LociGenetic MarkersFruit quality traitGBSPapaya breedingQTL analysisSNP markers

Identifiers

PMID31655544
PMCPMC6815024
OpenAlexW2982129182

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.