Evidence map›Paper›PMID 28635630›Full record

ArticleInternational journal of molecular sciences2017

Development of a High-Density SNP-Based Linkage Map and Detection of QTL for β-Glucans, Protein Content, Grain Yield per Spike and Heading Time in Durum Wheat.

Ilaria Marcotuli, Agata Gadaleta, Giacomo Mangini, Antonio Massimo Signorile, Silvana Addolorata Zacheo, Antonio Blanco, Rosanna Simeone, Pasqualina Colasuonno

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
18.2field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 77 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

8 authors at 1 institution in 1 country.

Ilaria MarcotuliDepartment of Agricultural and Environmental Science, University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy. i.marcotuli@gmail.com.
Agata GadaletaDepartment of Agricultural and Environmental Science, University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy. agata.gadaleta@uniba.it.
Giacomo ManginiDepartment of Soil, Plant and Food Sciences, Section of Genetic and Plant Breeding, University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy. giacomo.mangini@uniba.it.
Antonio Massimo SignorileDepartment of Soil, Plant and Food Sciences, Section of Genetic and Plant Breeding, University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy. massimoantonio.signorile@uniba.it.
Silvana Addolorata ZacheoDepartment of Soil, Plant and Food Sciences, Section of Genetic and Plant Breeding, University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy. silvanaaddolorata.zacheo@uniba.it.
Antonio BlancoDepartment of Soil, Plant and Food Sciences, Section of Genetic and Plant Breeding, University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy. blanco17145@gmail.com.
Rosanna SimeoneDepartment of Soil, Plant and Food Sciences, Section of Genetic and Plant Breeding, University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy. rosanna.simeone@uniba.it.
Pasqualina ColasuonnoDepartment of Agricultural and Environmental Science, University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy. pattybiotec@yahoo.it.
University of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-density genetic linkage maps of crop species are particularly useful in detecting qualitative and quantitative trait loci for important agronomic traits and in improving the power of classical approaches to identify candidate genes. The aim of this study was to develop a high-density genetic linkage map in a durum wheat recombinant inbred lines population (RIL) derived from two elite wheat cultivars and to identify, characterize and correlate Quantitative Trait Loci (QTL) for β-glucan, protein content, grain yield per spike and heading time. A dense map constructed by genotyping the RIL population with the wheat 90K iSelect array included 5444 single nucleotide polymorphism (SNP) markers distributed in 36 linkage groups. Data for β-glucan and protein content, grain yield per spike and heading time were obtained from replicated trials conducted at two locations in southern Italy. A total of 19 QTL were detected in different chromosome regions. In particular, three QTL for β-glucan content were detected on chromosomes 2A and 2B (two loci); eight QTL controlling grain protein content were detected on chromosomes 1B, 2B, 3B (two loci), 4A, 5A, 7A and 7B; seven QTL for grain yield per spike were identified on chromosomes 1A, 2B, 3A (two loci), 3B (two loci) and 6B; and one marker-trait association was detected on chromosome 2A for heading time. The last was co-located with a β-glucan QTL, and the two QTL appeared to be negatively correlated. A genome scan for genomic regions controlling the traits and SNP annotated sequences identified five putative candidate genes involved in different biosynthesis pathways (

Indexed as

Genetic LinkagePolymorphism, Single NucleotideQuantitative Trait Locibeta-GlucansEdible GrainGenome, PlantGenotypePlant BreedingPlant ProteinsTriticumbeta-GlucansPlant Proteinsdurum wheatgrain protein contentgrain yield per spikeheading timeQTLsingle nucleotide polymorphism (SNP) mappingβ-glucans

Identifiers

PMID28635630
PMCPMC5486150
OpenAlexW2679821113

What OpenQuestion holds

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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.