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      QTL analysis of soft scald in two apple populations

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          Abstract

          The apple ( Malus× domestica Borkh.) is one of the world’s most widely grown and valuable fruit crops. With demand for apples year round, storability has emerged as an important consideration for apple breeding programs. Soft scald is a cold storage-related disorder that results in sunken, darkened tissue on the fruit surface. Apple breeders are keen to generate new cultivars that do not suffer from soft scald and can thus be marketed year round. Traditional breeding approaches are protracted and labor intensive, and therefore marker-assisted selection (MAS) is a valuable tool for breeders. To advance MAS for storage disorders in apple, we used genotyping-by-sequencing (GBS) to generate high-density genetic maps in two F 1 apple populations, which were then used for quantitative trait locus (QTL) mapping of soft scald. In total, 900 million DNA sequence reads were generated, but after several data filtering steps, only 2% of reads were ultimately used to create two genetic maps that included 1918 and 2818 single-nucleotide polymorphisms. Two QTL associated with soft scald were identified in one of the bi-parental populations originating from parent 11W-12-11, an advanced breeding line. This study demonstrates the utility of next-generation DNA sequencing technologies for QTL mapping in F 1 populations, and provides a basis for the advancement of MAS to improve storability of apples.

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          An Improved Genotyping by Sequencing (GBS) Approach Offering Increased Versatility and Efficiency of SNP Discovery and Genotyping

          Highly parallel SNP genotyping platforms have been developed for some important crop species, but these platforms typically carry a high cost per sample for first-time or small-scale users. In contrast, recently developed genotyping by sequencing (GBS) approaches offer a highly cost effective alternative for simultaneous SNP discovery and genotyping. In the present investigation, we have explored the use of GBS in soybean. In addition to developing a novel analysis pipeline to call SNPs and indels from the resulting sequence reads, we have devised a modified library preparation protocol to alter the degree of complexity reduction. We used a set of eight diverse soybean genotypes to conduct a pilot scale test of the protocol and pipeline. Using ApeKI for GBS library preparation and sequencing on an Illumina GAIIx machine, we obtained 5.5 M reads and these were processed using our pipeline. A total of 10,120 high quality SNPs were obtained and the distribution of these SNPs mirrored closely the distribution of gene-rich regions in the soybean genome. A total of 39.5% of the SNPs were present in genic regions and 52.5% of these were located in the coding sequence. Validation of over 400 genotypes at a set of randomly selected SNPs using Sanger sequencing showed a 98% success rate. We then explored the use of selective primers to achieve a greater complexity reduction during GBS library preparation. The number of SNP calls could be increased by almost 40% and their depth of coverage was more than doubled, thus opening the door to an increase in the throughput and a significant decrease in the per sample cost. The approach to obtain high quality SNPs developed here will be helpful for marker assisted genomics as well as assessment of available genetic resources for effective utilisation in a wide number of species.
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            Characterization of miRNAs associated with Botrytis cinerea infection of tomato leaves

            Background Botrytis cinerea Pers. Fr. is an important pathogen causing stem rot in tomatoes grown indoors for extended periods. MicroRNAs (miRNAs) have been reported as gene expression regulators related to several stress responses and B. cinerea infection in tomato. However, the function of miRNAs in the resistance to B. cinerea remains unclear. Results The miRNA expression patterns in tomato in response to B. cinerea stress were investigated by high-throughput sequencing. In total, 143 known miRNAs and seven novel miRNAs were identified and their corresponding expression was detected in mock- and B. cinerea-inoculated leaves. Among those, one novel and 57 known miRNAs were differentially expressed in B. cinerea-infected leaves, and 8 of these were further confirmed by quantitative reverse-transcription PCR (qRT-PCR). Moreover, five of these eight differentially expressed miRNAs could hit 10 coding sequences (CDSs) via CleaveLand pipeline and psRNAtarget program. In addition, qRT-PCR revealed that four targets were negatively correlated with their corresponding miRNAs (miR319, miR394, and miRn1). Conclusion Results of sRNA high-throughput sequencing revealed that the upregulation of miRNAs may be implicated in the mechanism by which tomato respond to B. cinerea stress. Analysis of the expression profiles of B. cinerea-responsive miRNAs and their targets strongly suggested that miR319, miR394, and miRn1 may be involved in the tomato leaves’ response to B. cinerea infection. Electronic supplementary material The online version of this article (doi:10.1186/s12870-014-0410-4) contains supplementary material, which is available to authorized users.
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              Bayesian QTL analyses using pedigreed families of an outcrossing species, with application to fruit firmness in apple.

              Proof of concept of Bayesian integrated QTL analyses across pedigree-related families from breeding programs of an outbreeding species. Results include QTL confidence intervals, individuals' genotype probabilities and genomic breeding values. Bayesian QTL linkage mapping approaches offer the flexibility to study multiple full sib families with known pedigrees simultaneously. Such a joint analysis increases the probability of detecting these quantitative trait loci (QTL) and provide insight of the magnitude of QTL across different genetic backgrounds. Here, we present an improved Bayesian multi-QTL pedigree-based approach on an outcrossing species using progenies with different (complex) genetic relationships. Different modeling assumptions were studied in the QTL analyses, i.e., the a priori expected number of QTL varied and polygenic effects were considered. The inferences include number of QTL, additive QTL effect sizes and supporting credible intervals, posterior probabilities of QTL genotypes for all individuals in the dataset, and QTL-based as well as genome-wide breeding values. All these features have been implemented in the FlexQTL(™) software. We analyzed fruit firmness in a large apple dataset that comprised 1,347 individuals forming 27 full sib families and their known ancestral pedigrees, with genotypes for 87 SSR markers on 17 chromosomes. We report strong or positive evidence for 14 QTL for fruit firmness on eight chromosomes, validating our approach as several of these QTL were reported previously, though dispersed over a series of studies based on single mapping populations. Interpretation of linked QTL was possible via individuals' QTL genotypes. The correlation between the genomic breeding values and phenotypes was on average 90 %, but varied with the number of detected QTL in a family. The detailed posterior knowledge on QTL of potential parents is critical for the efficiency of marker-assisted breeding.
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                Author and article information

                Journal
                Hortic Res
                Hortic Res
                Horticulture Research
                Nature Publishing Group
                2052-7276
                14 September 2016
                2016
                : 3
                : 16043
                Affiliations
                [1 ]Department of Plant and Animal Sciences, Faculty of Agriculture, Dalhousie University , Truro, Nova Scotia B2N 5E3, Canada
                [2 ]Department of Plant Agriculture, Crop Science Building, University of Guelph , Guelph, Ontario N1G 2W1, Canada
                [3 ]Agriculture and Agri-Food Canada, Fredericton Research and Development Centre , Fredericton, New Brunswick E3B 4Z7, Canada
                [4 ]Agriculture and Agri-Food Canada, Summerland Research and Development Centre , Summerland, British Columbia V0H 1Z0, Canada
                [5 ]Agriculture and Agri-Food Canada, Kentville Research and Development Centre , Kentville, Nova Scotia, Canada B4N 1J5
                Author notes
                Article
                hortres201643
                10.1038/hortres.2016.43
                5022660
                27651916
                f7b8bc15-e0de-48c0-92c4-24cd128d58fd
                Copyright © 2016 The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 18 May 2016
                : 13 August 2016
                : 14 August 2016
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