Evidence map›Paper›PMID 36258163›Full record

ArticleBMC genomics2022

Genetic dissection of fruit maturity date in apricot (P. armeniaca L.) through a Single Primer Enrichment Technology (SPET) approach.

Irina Baccichet, Remo Chiozzotto, Davide Scaglione, Daniele Bassi, Laura Rossini, Marco Cirilli

Abstract read
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Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Irina BaccichetUniversità degli Studi di Milan - DiSAA, Milano, Italy.
Remo ChiozzottoUniversità degli Studi di Milan - DiSAA, Milano, Italy.
Davide ScaglioneIGA Technology Services Srl, Udine, Italy.
Daniele BassiUniversità degli Studi di Milan - DiSAA, Milano, Italy.
Laura RossiniUniversità degli Studi di Milan - DiSAA, Milano, Italy. laura.rossini@unimi.it.
Marco CirilliUniversità degli Studi di Milan - DiSAA, Milano, Italy. marco.cirilli@unimi.it.

Funding

PRIMA- FREECLIMB 1813-2
6 · The paper itself

Abstract

backgroundSingle primer enrichment technology (SPET) is an emerging and increasingly popular solution for high-throughput targeted genotyping in plants. Although SPET requires a priori identification of polymorphisms for probe design, this technology has potentially higher reproducibility and transferability compared to other reduced representation sequencing (RRS) approaches, also enabling the discovery of closely linked polymorphisms surrounding the target one.

resultsThe potential for SPET application in fruit trees was evaluated by developing a 25K target SNPs assay to genotype a panel of apricot accessions and progenies. A total of 32,492 polymorphic sites were genotyped in 128 accessions (including 8,188 accessory non-target SNPs) with extremely low levels of missing data and a significant correlation of allelic frequencies compared to whole-genome sequencing data used for array design. Assay performance was further validated by estimating genotyping errors in two biparental progenies, resulting in an overall 1.8% rate. SPET genotyping data were used to infer population structure and to dissect the architecture of fruit maturity date (MD), a quantitative reproductive phenological trait of great agronomical interest in apricot species. Depending on the year, GWAS revealed loci associated to MD on several chromosomes. The QTLs on chromosomes 1 and 4 (the latter explaining most of the phenotypic variability in the panel) were the most consistent over years and were further confirmed by linkage mapping in two segregating progenies.

conclusionsBesides the utility for marker assisted selection and for paving the way to in-depth studies to clarify the molecular bases of MD trait variation in apricot, the results provide an overview of the performance and reliability of SPET for fruit tree genetics.

Indexed as

Prunus armeniacaFruitPolymorphism, Single NucleotideQuantitative Trait LociReproducibility of ResultsTechnologyApricotFruitFruit crops genomicsGWASMaturity dateSPET

Identifiers

PMID36258163
PMCPMC9580121

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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.