Evidence map›Paper›PMID 26220670›Full record

ArticleBMC genomics2015

Sequence diversity and differential expression of major phenylpropanoid-flavonoid biosynthetic genes among three mango varieties.

Van L T Hoang, David J Innes, P Nicholas Shaw, Gregory R Monteith, Michael J Gidley, Ralf G Dietzgen

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

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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

7 citing papers in PubMed, 36 citations in OpenAlex.

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  7. Genetic Map of Mango: A Tool for Mango Breeding.Frontiers in plant science · 2017
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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

6 authors at 4 institutions in 1 country.

Van L T HoangSchool of Pharmacy, The University of Queensland, Brisbane, Queensland, Australia. v.hoang2@uq.edu.au.
David J InnesDepartment of Agriculture and Fisheries, Agri-Science Queensland, Brisbane, Queensland, Australia. David.Innes@daff.qld.gov.au.
P Nicholas ShawSchool of Pharmacy, The University of Queensland, Brisbane, Queensland, Australia. n.shaw@uq.edu.au.
Gregory R MonteithSchool of Pharmacy, The University of Queensland, Brisbane, Queensland, Australia. greg@pharmacy.uq.edu.au.
Michael J GidleyCentre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia. m.gidley@uq.edu.au.
Ralf G DietzgenSchool of Pharmacy, The University of Queensland, Brisbane, Queensland, Australia. r.dietzgen@uq.edu.au.
University of Queensland · AUAgriculture and Food · AUARC Centre of Excellence for Plant Success in Nature and Agriculture · AUQueensland Department of Agriculture and Fisheries · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMango fruits contain a broad spectrum of phenolic compounds which impart potential health benefits; their biosynthesis is catalysed by enzymes in the phenylpropanoid-flavonoid (PF) pathway. The aim of this study was to reveal the variability in genes involved in the PF pathway in three different mango varieties Mangifera indica L., a member of the family Anacardiaceae: Kensington Pride (KP), Irwin (IW) and Nam Doc Mai (NDM) and to determine associations with gene expression and mango flavonoid profiles.

resultsA close evolutionary relationship between mango genes and those from the woody species poplar of the Salicaceae family (Populus trichocarpa) and grape of the Vitaceae family (Vitis vinifera), was revealed through phylogenetic analysis of PF pathway genes. We discovered 145 SNPs in total within coding sequences with an average frequency of one SNP every 316 bp. Variety IW had the highest SNP frequency (one SNP every 258 bp) while KP and NDM had similar frequencies (one SNP every 369 bp and 360 bp, respectively). The position in the PF pathway appeared to influence the extent of genetic diversity of the encoded enzymes. The entry point enzymes phenylalanine lyase (PAL), cinnamate 4-mono-oxygenase (C4H) and chalcone synthase (CHS) had low levels of SNP diversity in their coding sequences, whereas anthocyanidin reductase (ANR) showed the highest SNP frequency followed by flavonoid 3'-hydroxylase (F3'H). Quantitative PCR revealed characteristic patterns of gene expression that differed between mango peel and flesh, and between varieties.

conclusionsThe combination of mango expressed sequence tags and availability of well-established reference PF biosynthetic genes from other plant species allowed the identification of coding sequences of genes that may lead to the formation of important flavonoid compounds in mango fruits and facilitated characterisation of single nucleotide polymorphisms between varieties. We discovered an association between the extent of sequence variation and position in the pathway for up-stream genes. The high expression of PAL, C4H and CHS genes in mango peel compared to flesh is associated with high amounts of total phenolic contents in peels, which suggest that these genes have an influence on total flavonoid levels in mango fruit peel and flesh. In addition, the particularly high expression levels of ANR in KP and NDM peels compared to IW peel and the significant accumulation of its product epicatechin gallate (ECG) in those extracts reflects the rate-limiting role of ANR on ECG biosynthesis in mango.

Indexed as

Gene Expression Regulation, PlantGenes, PlantGenetic VariationAcyltransferasesAnacardiaceaeCytochrome P-450 Enzyme SystemExpressed Sequence TagsFlavonoidsFruitMangiferaPhenylalanine Ammonia-LyasePhylogenyPolymorphism, Single NucleotideReal-Time Polymerase Chain ReactionTrans-Cinnamate 4-MonooxygenaseTranscriptomeAcyltransferasesCytochrome P-450 Enzyme Systemflavanone synthetaseflavonoid 3'-hydroxylaseFlavonoidsPhenylalanine Ammonia-LyaseTrans-Cinnamate 4-Monooxygenase

Identifiers

PMID26220670
PMCPMC4518526
OpenAlexW2122927602

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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.