Genetic Mapping in the Triticeae

Lehmensiek, A.; Bovill, William D.; Wenzl, Peter; Langridge, Peter; Appels, R.

doi:10.1007/978-0-387-77489-3_7

Cited by 10 publications

(8 citation statements)

References 157 publications

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“…Double Haploids -DHs, Recombinant Inbreed lines -RILs) or using Nearly Isogenic Lines (NILs) developed using several backcrosses [58]. Nevertheless, the estimated effects are specific to the same or genetically related populations and are often not transferable to other genetic backgrounds, thus limiting their practical application for breeding purposes [58]. In the last decade, the availability of high resolution and cost effective genotyping platforms have opened the way to GWAS.…”

Section: Marker-trait Associations In Large Germplasm Collectionsmentioning

confidence: 99%

Next generation breeding

Barabaschi¹,

Tondelli²,

Desiderio³

et al. 2016

Plant Science

143

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Section: Marker-trait Associations In Large Germplasm Collectionsmentioning

confidence: 99%

Next generation breeding

Barabaschi¹,

Tondelli²,

Desiderio³

et al. 2016

Plant Science

143

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“…Each population type has advantages and disadvantages. The most commonly used population type for genetic mapping in the Triticeae is RIL and DH populations (Lehmensiek, Bovill, Wenzl, Langridge, & Appels, ). The precision and efficiency of QTL detection will be enhanced by combining more than two related populations (Buckler et al., ; Kumar, Kulwal, Balyan, & Gupta, ; Ma et al., ).…”

Section: Introductionmentioning

confidence: 99%

Analysis of contributors to grain yield in wheat at the individual quantitative trait locus level

Mao

Chen

et al. 2018

Plant Breeding

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In wheat, strong genetic correlations have been found between grain yield (GY) and tiller number per plant (TN), fertile spikelet number per spike (FSN), kernel number per spike (KN) and thousand‐kernel weight (TKW). To investigate their genetic relationships at the individual quantitative trait locus (QTL) level, we performed both normal and multivariate conditional QTL analysis based on two recombinant inbred lines (RILs) populations. A total of 79 and 48 normal QTLs were identified in the International Triticeae Mapping Initiative (ITMI)/SHW‐L1 × Chuanmai 32 (SC) populations, respectively, as well as 55 and 35 conditional QTLs. Thirty‐two QTL clusters in the ITMI population and 18 QTL clusters in the SC population explained 0.9%–46.2% of phenotypic variance for two to eight traits. A comparison between the normal and conditional QTL mapping analyses indicated that FSN made the smallest contribution to GY among the four GY components that were considered at the QTL level. The effects of TN, KN and TKW on GY were stronger at the QTL level.

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“…None of the markers used in this study were mapped within this interval. his result was expected for gene-based markers were used (ESTs and RJMs bearing ESTs), which have a low density in the centromeric region (Lehmensiek et al, 2009). Four markers (RJH15851/9, RJH608/5, k03410, and RJH747/1) were integrated into the initial RH map in a region around the centromere within the interval of k03504 on the short arm and k03692 on the long arm.…”

Section: Developing a Comprehensive Chromosome 3h Radiation Hybrid Mapmentioning

confidence: 83%

Radiation Hybrid Map of Barley Chromosome 3H

et al. 2015

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Assembly of the barley (Hordeum vulgare L.) genome is complicated by its large size (5.1 Gb) and proportion of repetitive elements (84%). This process is facilitated by high resolution maps for aligning bacterial artificial chromosome (BAC) contigs along chromosomes. Available genetic maps, however, do not provide accurate information on the physical position of a large portion of the genome located in recombination-poor regions. Radiation hybrid (RH) mapping is an alternative approach, which is based on radiation-induced deletions along the length of chromosomes. In this study, the first RH map for barley chromosome 3H was developed. In total, 373 in vivo RH lines were generated by irradiating wheat (Triticum aestivum L.)-barley chromosome 3H addition lines and crossing them to a normal wheat cultivar. Each RH informative line (containing deletions) had, on average, three deletions. The induced deletion size varied from 36.58 Kb to 576.00 Mb, with an average length of 52.42 Mb. This initial chromosome 3H radiation hybrid (3H-RH) map had a 9.53´ higher resolution than an analogous genetic map, reaching a maximum of >262.40´ resolution in regions around the centromere. The final RH map was 3066.1 cR in length, with a 0.76 Mb resolution. It was estimated that the map resolution can be improved to an average of 30.34 Kb by saturating the 3H-RH map with molecular markers. The generated RH panel enabled alignment of BAC and sequenced contigs as small as 1.50 Kb in size. The high resolution and the coverage of poor-recombination regions make RH maps an ideal resource for barley genome assembly, as well as other genetic studies. Barley (2n = 2x = 28) is ranked fourth in production among cereals and is cultivated on about 50 million hectares worldwide (FAO, 2013). Compared to other cereals, barley is more tolerant to drought and salinity stress. Therefore, it is a main food source in countries with harsh environmental conditions (Nevo et al., 2012). Due to the diploid genome and being selfpollinated, barley is a model plant for genetic studies of other Triticeae crops with complex genomes such as wheat (Triticum aestivum L. and T. turgidum L.) and rye (Secale cereale L.) (Gaut, 2002). A complete sequence of the barley genome would reveal genetic networks underlying important traits and enable exploitation of the full potential of barley and related Triticeae crops in breeding programs. Despite concerted international efforts, complexity of the genome (5.1 Gb size with ~84% consisting of repetitive sequences [Mayer et al., 2012]), preclude the complete genome assembly based on existing resources.

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Genetic Mapping in the Triticeae

Cited by 10 publications

References 157 publications

Next generation breeding

Next generation breeding

Analysis of contributors to grain yield in wheat at the individual quantitative trait locus level

Radiation Hybrid Map of Barley Chromosome 3H

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