Evidence map›Paper›PMID 28403819›Full record

ArticleBMC genomics2017

QTL mapping for fruit quality in Citrus using DArTseq markers.

Maiara Curtolo, Mariângela Cristofani-Yaly, Rodrigo Gazaffi, Marco Aurélio Takita, Antonio Figueira, Marcos Antonio Machado

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
12.7field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 56 citations in OpenAlex.

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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 3 institutions in 1 country.

Maiara CurtoloCentro de Energia Nuclear na Agricultura - Universidade de São Paulo (USP), 13400-970, Piracicaba, SP, Brazil.
Mariângela Cristofani-YalyCentro APTA Citros Sylvio Moreira - Instituto Agronômico (IAC), CP 04, 13490-970, Cordeirópolis, SP, Brazil. mariangela@centrodecitricultura.br.
Rodrigo GazaffiUniversidade Federal de São Carlos (UFSCar) - Centro de Ciências Agrárias, Rodovia Anhanguera, km 174, 13600-970, Araras, SP, Brazil.
Marco Aurélio TakitaCentro APTA Citros Sylvio Moreira - Instituto Agronômico (IAC), CP 04, 13490-970, Cordeirópolis, SP, Brazil.
Antonio FigueiraCentro de Energia Nuclear na Agricultura - Universidade de São Paulo (USP), 13400-970, Piracicaba, SP, Brazil.
Marcos Antonio MachadoCentro APTA Citros Sylvio Moreira - Instituto Agronômico (IAC), CP 04, 13490-970, Cordeirópolis, SP, Brazil.
Agronomical Institute of Campinas · BRUniversidade de São Paulo · BRUniversidade Federal de São Carlos · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCitrus breeding programs have many limitations associated with the species biology and physiology, requiring the incorporation of new biotechnological tools to provide new breeding possibilities. Diversity Arrays Technology (DArT) markers, combined with next-generation sequencing, have wide applicability in the construction of high-resolution genetic maps and in quantitative trait locus (QTL) mapping. This study aimed to construct an integrated genetic map using full-sib progeny derived from Murcott tangor and Pera sweet orange and DArTseq™ molecular markers and to perform QTL mapping of twelve fruit quality traits. A controlled Murcott x Pera crossing was conducted at the Citrus Germplasm Repository at the Sylvio Moreira Citrus Centre of the Agronomic Institute (IAC) located in Cordeirópolis, SP, in 1997. In 2012, 278 F

resultsThe resulting integrated map contained 661 markers in 13 LGs, with a genomic coverage of 2,774 cM and a mean density of 0.23 markers/cM. The groups were assigned to the nine Citrus haploid chromosomes; however, some of the chromosomes were represented by two LGs due the lack of information for a single integration, as in cases where markers segregated in a 3:1 fashion. A total of 19 QTLs were identified through composite interval mapping (CIM) of the 12 analyzed fruit characteristics: fruit diameter (cm), height (cm), height/diameter ratio, weight (g), rind thickness (cm), segments per fruit, total soluble solids (TSS, %), total titratable acidity (TTA, %), juice content (%), number of seeds, TSS/TTA ratio and number of fruits per box. The genomic sequence (pseudochromosomes) of C. sinensis was compared to the genetic map, and synteny was clearly identified. Further analysis of the map regions with the highest LOD scores enabled the identification of putative genes that could be associated with the fruit quality characteristics.

conclusionAn integrated linkage map of Murcott tangor and Pera sweet orange using DArTseq™ molecular markers was established and it was useful to perform QTL mapping of twelve fruit quality traits. The next generation sequences data allowed the comparison between the linkage map and the genomic sequence (pseudochromosomes) of C. sinensis and the identification of genes that may be responsible for phenotypic traits in Citrus. The obtained linkage map was used to assign sequences that had not been previously assigned to a position in the reference genome.

Indexed as

Genetic MarkersQuantitative Trait LociChromosome MappingChromosomes, PlantCitrusFruitHigh-Throughput Nucleotide SequencingLod ScorePhenotypePlant BreedingSequence Analysis, DNASoftwareSyntenyGenetic MarkersHybridsIntegrated linkage mapMandarinsSweet orangeSynteny

Identifiers

PMID28403819
PMCPMC5389163
OpenAlexW2606128186

What OpenQuestion holds

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LicenceCC BY
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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.