Frost tolerance is a key trait with economic and agronomic importance in barley because it is a major component of winter hardiness, and therefore limits the geographical distribution of the crop and the effective transfer of quality traits between spring and winter crop types. Three main frost tolerance QTL (Fr-H1, Fr-H2 and Fr-H3) have been identified from bi-parental genetic mapping but it can be argued that those mapping populations only capture a portion of the genetic diversity of the species. A genetically broad dataset consisting of 184 genotypes, representative of the barley gene pool cultivated in the Mediterranean basin over an extended time period, was genotyped with 1536 SNP markers. Frost tolerance phenotype scores were collected from two trial sites, Foradada (Spain) and Fiorenzuola (Italy) and combined with the genotypic data in genome wide association analyses (GWAS) using Eigenstrat and kinship approaches to account for population structure. ; The above work was partially funded by the European Union-INCO-MED program (MABDE ICA3-CT2002-10026). The James Hutton Institute received grant in aid from the Scottish Government's Rural and Environment Science and Analytical Services Division. The Centre UdL-IRTA forms part of the Centre CONSOLIDER on Agrigenomics and acknowledges competitive grants and GEN2006-28560-E and AGL2011-30529-C02-02 from the Spanish Ministry of Science and Innovation.
The genome of potato, a major global food crop, was recently sequenced. The work presented here details the integration of the potato reference genome (DM) with a new sequence-tagged site marker-based linkage map and other physical and genetic maps of potato and the closely related species tomato. Primary anchoring of the DM genome assembly was accomplished by the use of a diploid segregating population, which was genotyped with several types of molecular genetic markers to construct a new similar to 936 cM linkage map comprising 2469 marker loci. In silico anchoring approaches used genetic and physical maps from the diploid potato genotype RH89-039-16 (RH) and tomato. This combined approach has allowed 951 superscaffolds to be ordered into pseudomolecules corresponding to the 12 potato chromosomes. These pseudomolecules represent 674 Mb (similar to 93%) of the 723 Mb genome assembly and 37,482 (similar to 96%) of the 39,031 predicted genes. The superscaffold order and orientation within the pseudomolecules are closely collinear with independently constructed high density linkage maps. Comparisons between marker distribution and physical location reveal regions of greater and lesser recombination, as well as regions exhibiting significant segregation distortion. The work presented here has led to a greatly improved ordering of the potato reference genome superscaffolds into chromosomal pseudomolecules. ; Potato Genome Sequencing grant, UK; Scottish Government Rural and Environmental Science and Analytical Services Division (RESAS); Department for Environment, Food and Rural Affairs (DEFRA)Department for Environment, Food & Rural Affairs (DEFRA); Agriculture and Horticulture Development Board (AHDB)-Potato Council; Biotechnology and Biological Sciences Research Council (BBSRC)Biotechnology and Biological Sciences Research Council (BBSRC) [BB/F012640]; New Zealand Institute for Crop & Food Research Ltd Strategic Science Initiative; New Zealand Institute for Plant & Food Research Ltd Capability Fund, New Zealand; NMEA (Netherlands Ministry of Economic Affairs); CBSG (Centre for BioSystems Genomics); STW (Netherlands Technology Foundation), The Netherlands [07796]; Teagasc Core Funding; DAFF-Research Stimulus Fund, Ireland; International Potato Center (CIP-CGIAR)/CRP RTB, Peru; CONICYTComision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) [Fondap 1509007, PBCT-PSD-03]; CONICYT (Basal CMM); CIRIC INRIA; INIA-Ministry of Agriculture of Chile, Chile; FEMCIDI OEA [PE/09/02 MINCyT-CONCyTEC]; Instituto Nacional de Tecnologia Agropecuaria (INTA-Core Funds); Ministerio de Ciencia y Tecnologia (MINCyT), Argentina; Proyecto FEMCIDI-OEA [SEDI/AE-305 /09]; Proyecto Bilateral Argentina, Per; FINCyT [099-FINCyT-EQUIP-2009) / (076-FINCyT-PIN-2008)]; Prestamo BID [1663/OC-PE]; Instituto Nacional de Innovacion Agraria, Ministry of Agriculture of Peru; Peruvian Ministry of Agriculture, Technical Secretariat of coordination; CGIAR; Consejo Nacional de Ciencia, Tecnologia e Innovacion Tecnologica, Peru (CONCYTEC); Special Multilateral Fund of the Inter-American Council for Integral Development (FEMCIDI-Peru); Biotechnology and Biological Sciences Research CouncilBiotechnology and Biological Sciences Research Council (BBSRC) [BB/F012640/1] ; We thank Andrzej Kilian (Diversity Arrays Technology, Australia) for DArT genotyping of the DMDD mapping population. We acknowledge Peter E. Hedley and Clare Booth (The James Hutton Institute, UK) for help with SNP genotyping. We thank S. B. Divito (Instituto Nacional de Tecnologia Agropecuaria, Balcarce, Argentina) for technical assistance. We are also grateful to Luke Ramsay and Peter E. Hedley (The James Hutton Institute, UK) for comments on the manuscript. AFLP and WGP are (registered) trademarks owned by KeyGene N.V. We acknowledge the funding made available by the Potato Genome Sequencing grant, UK [Scottish Government Rural and Environmental Science and Analytical Services Division (RESAS), Department for Environment, Food and Rural Affairs (DEFRA), Agriculture and Horticulture Development Board (AHDB)-Potato Council, Biotechnology and Biological Sciences Research Council (BBSRC, Grant BB/F012640)]; New Zealand Institute for Crop & Food Research Ltd Strategic Science Initiative and the New Zealand Institute for Plant & Food Research Ltd Capability Fund, New Zealand; NMEA (Netherlands Ministry of Economic Affairs), CBSG (Centre for BioSystems Genomics), STW (Netherlands Technology Foundation grant 07796), The Netherlands; Teagasc Core Funding, DAFF-Research Stimulus Fund, Ireland; International Potato Center (CIP-CGIAR)/CRP RTB, Peru; CONICYT (Fondap 1509007, Basal CMM, PBCT-PSD-03), CIRIC INRIA, INIA-Ministry of Agriculture of Chile, Chile; FEMCIDI OEA, PE/09/02 MINCyT-CONCyTEC, 2010-2011, Instituto Nacional de Tecnologia Agropecuaria (INTA-Core Funds) and Ministerio de Ciencia y Tecnologia (MINCyT), Argentina; Proyecto FEMCIDI-OEA SEDI/AE-305 /09 (2008-2012), Proyecto Bilateral Argentina, Per; FINCyT (099-FINCyT-EQUIP-2009) / (076-FINCyT-PIN-2008), Prestamo BID no. 1663/OC-PE, Instituto Nacional de Innovacion Agraria, Ministry of Agriculture of Peru, Peruvian Ministry of Agriculture, Technical Secretariat of coordination with the CGIAR, Consejo Nacional de Ciencia, Tecnologia e Innovacion Tecnologica, Peru (CONCYTEC), Special Multilateral Fund of the Inter-American Council for Integral Development (FEMCIDI-Peru).
