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      A novel genetic map of wheat: utility for mapping QTL for yield under different nitrogen treatments

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          Abstract

          Background

          Common wheat ( Triticum aestivum L.) is one of the most important food crops worldwide. Wheat varieties that maintain yield (YD) under moderate or even intense nitrogen (N) deficiency can adapt to low input management systems. A detailed genetic map is necessary for both wheat molecular breeding and genomics research. In this study, an F 6:7 recombinant inbred line population comprising 188 lines was used to construct a novel genetic map and subsequently to detect quantitative trait loci (QTL) for YD and response to N stress.

          Results

          A genetic map consisting of 591 loci distributed across 21 wheat chromosomes was constructed. The map spanned 3930.7 cM, with one marker per 6.7 cM on average. Genomic simple sequence repeat (g-SSR), expressed sequence tag-derived microsatellite (e-SSR), diversity arrays technology (DArT), sequence-tagged sites (STS), sequence-related amplified polymorphism (SRAP), and inter-simple sequence repeat (ISSR) molecular markers were included in the map. The linear relationships between loci found in the present map and in previously compiled physical maps were presented, which were generally in accordance. Information on the genetic and physical positions and allele sizes (when possible) of 17 DArT, 50 e-SSR, 44 SRAP, five ISSR, and two morphological markers is reported here for the first time. Seven segregation distortion regions (SDR) were identified on chromosomes 1B, 3BL, 4AL, 6AS, 6AL, 6BL, and 7B. A total of 22 and 12 QTLs for YD and yield difference between the value (YDDV) under HN and the value under LN were identified, respectively. Of these, QYd-4B-2 and QYddv-4B, two major stable QTL, shared support interval with alleles from KN9204 increasing YD in LN and decreasing YDDV. We probe into the use of these QTLs in wheat breeding programs. Moreover, factors affecting the SDR and total map length are discussed in depth.

          Conclusions

          This novel map may facilitate the use of novel markers in wheat molecular breeding programs and genomics research. Moreover, QTLs for YD and YDDV provide useful markers for wheat molecular breeding programs designed to increase yield potential under N stress.

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          Most cited references44

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          Genome fingerprinting by simple sequence repeat (SSR)-anchored polymerase chain reaction amplification.

          Simple sequence repeats (SSR), or microsatellites, are ubiquitous in eukaryotic genomes. Here we demonstrate the utility of microsatellite-directed DNA fingerprinting by polymerase chain reaction (PCR) amplification of the interrepeat region. No sequencing is required to design the oligonucleotide primers. We tested primers anchored at 3' or 5' termini of the (CA)n repeats, extended into the flanking sequence by 2 to 4 nucleotide residues [3'-anchored primers: (CA)8RG, (CA)8RY, and (CA)7RTCY; and 5'-anchored primers: BDB(CA)7C, DBDA(CA)7, VHVG(TG)7 and HVH(TG)7T]. Radioactively labeled amplification products were analyzed by electrophoresis, revealing information on multiple genomic loci in a single gel lane. Complex, species-specific patterns were obtained from a variety of eukaryotic taxa. Intraspecies polymorphisms were also observed and shown to segregate as Mendelian markers. Inter-SSR PCR provides a novel fingerprinting approach applicable for taxonomic and phylogenetic comparisons and as a mapping tool in a wide range of organisms. This application of (CA)n repeats may be extended to different microsatellites and other common dispersed elements.
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            Data mining for simple sequence repeats in expressed sequence tags from barley, maize, rice, sorghum and wheat.

            Plant genomics projects involving model species and many agriculturally important crops are resulting in a rapidly increasing database of genomic and expressed DNA sequences. The publicly available collection of expressed sequence tags (ESTs) from several grass species can be used in the analysis of both structural and functional relationships in these genomes. We analyzed over 260000 EST sequences from five different cereals for their potential use in developing simple sequence repeat (SSR) markers. The frequency of SSR-containing ESTs (SSR-ESTs) in this collection varied from 1.5% for maize to 4.7% for rice. In addition, we identified several ESTs that are related to the SSR-ESTs by BLAST analysis. The SSR-ESTs and the related sequences were clustered within each species in order to reduce the redundancy and to produce a longer consensus sequence. The consensus and singleton sequences from each species were pooled and clustered to identify cross-species matches. Overall a reduction in the redundancy by 85% was observed when the resulting consensus and singleton sequences (3569) were compared to the total number of SSR-EST and related sequences analyzed (24 606). This information can be useful for the development of SSR markers that can amplify across the grass genera for comparative mapping and genetics. Functional analysis may reveal their role in plant metabolism and gene evolution.
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              Segregation distorters.

              T Lyttle (1991)
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                Author and article information

                Contributors
                Journal
                BMC Genet
                BMC Genet
                BMC Genetics
                BioMed Central
                1471-2156
                2014
                15 May 2014
                : 15
                : 57
                Affiliations
                [1 ]Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050022, China
                [2 ]State Key Laboratory of Plant Cell and Chromosome Engineering, Chinese Academy of Sciences, Beijing 100101, China
                [3 ]University of Chinese Academy of Sciences, Beijing 10049, China
                Article
                1471-2156-15-57
                10.1186/1471-2156-15-57
                4038385
                24387126
                27682207-d428-4042-9909-a2a59ab95447
                Copyright © 2014 Cui et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 1 April 2014
                : 9 May 2014
                Categories
                Research Article

                Genetics
                genetic map,molecular marker,quantitative trait loci,wheat,yield
                Genetics
                genetic map, molecular marker, quantitative trait loci, wheat, yield

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