An integrated interspecific AFLP map of lettuce (Lactuca) based on two L. sativa × L. saligna F2 populations

Jeuken, Marieke; Wijk, R. van; Peleman, J.; Lindhout, P.

doi:10.1007/s001220100657

Cited by 86 publications

(99 citation statements)

References 24 publications

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“…This may be related to the fact that the markers originate from coding regions of the genome, which are mostly present in the euchromatin. Marker clustering within linkage maps is not restricted to gene-based markers, and not uncommon for random DNA-based markers as well (Qi et al 1998;Haanstra et al 1999;Vuylsteke et al 1999;Young et al 1999;Jeuken et al 2001). Brugmans et al (2002) suggested that the ideal distribution of markers to find functional or causal genes for a trait of interest is not necessarily regular spacing across the whole genome, but rather a concentration of markers in the coding regions of the genome, suggesting that the map presented here is well-suited for QTL analysis.…”

Section: Discussionmentioning

confidence: 82%

Genetic map construction and QTL analysis of nitrogen use efficiency in spinach (Spinacia oleracea L.)

et al. 2015

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Cultivation of spinach requires high amounts of nitrogen (N), which puts a strain on the environment. A sustainable solution to this problem is to breed for crops with higher N use efficiency (NUE). The aim of this study was to provide tools for molecular breeding and to elucidate the genetic variation of factors contributing to NUE in spinach. A cross was made between two F 1 hybrid cultivars contrasting in NUE. Several F1 progeny were selfpollinated and based on evaluation of the F2 generation, a mapping F 2 population (335 individuals) of a single F1 was selected. SNP markers for the genetic map were discovered by RNA sequencing of the two parent cultivars, and 283 SNP markers were used to produce a genetic map comprising of six linkage groups (P01-P06), ranging in size from 46 to 116 cM. NUE related traits were determined for a set of F 2:3 families grown under low and high N conditions in a hydroponics system under an Ingestad N-addition model. Interval mapping analysis detected 39 traitspecific QTLs, with several QTLs accumulating on P01 and P02 of the linkage map. The QTLs and in particular the P01 and P02 regions provide potential targets for the improvement of NUE in spinach.

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Section: Discussionmentioning

confidence: 82%

Genetic map construction and QTL analysis of nitrogen use efficiency in spinach (Spinacia oleracea L.)

et al. 2015

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“…Other potential sources of variation are genotyping errors, an excess of missing values and the mapping of distorted markers (Hackett and Broadfoot 2003). Given the probabilistic nature of genetic maps, the re-ordering of tightly linked markers will generally produce a version of the map only marginally less probable than the most probable one, so this practice is quite frequently followed to improve alignment quality (Cervera et al 2001;Jeuken et al 2001;Lespinasse et al 2000;Lombard and Delourme 2001;Sebastian et al 2000). The further alignment of the "Wild" and "Est" LGs with 15 of the Sonnante et al (2011) globe artichoke x wild cardoon LGs using 31 common markers evidenced the assignment of 14 SSR loci (ten CyEM, four CELMS) to a specific LG for the first time in a C. cardunculus map.…”

Section: Discussionmentioning

confidence: 99%

New genetic maps for globe artichoke and wild cardoon and their alignment with an SSR-based consensus map

et al. 2013

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An F 1 mapping population was bred by crossing an accession of wild cardoon with a single Argentinian globe artichoke plant of the variety "Estrella del Sur FCA" with a view to generate new C. cardunculus linkage maps. Genotyping was conducting using a set of 553 SRAP, SSR, AFLP and SNP markers.The 1,465.5 cM map based on the segregation of alleles present in the wild cardoon parent comprised 214 loci distributed across 16 linkage groups (LGs), while the 910.1 cM globe artichoke based map featured 141 loci falling into 12 LGs and the total length. Three of the morphological traits (inflorescence spininess, leaf spininess and head color) for which the parents contrasted were inherited monogenically, and the genes conditioning them were mapped. A set of 48 co-dominant loci was used to align the LGs with those derived from a reference SSRbased consensus map of the species.

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“…Although lettuce is not considered an ideal model crop species, most cultivars are highly inbred and reveal extensive genetic homozygosity, allowing for genetic tools to be developed ). There have been several iterations of lettuce linkage maps developed from intra-specific crosses in L. sativa (Landry et al 1987;Kesseli et al 1994;Waycott et al 1999;Hayashi et al 2008;Atkinson et al 2013b;Jenni et al 2013) and from inter-specific crosses between L. sativa and wild relatives L. serriola (Johnson et al 2000;Syed et al 2006;McHale et al 2009) and L. saligna (Jeuken et al 2001). More recently these have been developed into an ultra-high density consensus map Stoffel et al 2012) and an annotated genome sequence assembly of lettuce (Reyes-Chin-Wo et al 2017) is available at the Lettuce Genome Resource (https://lgr.genomecenter.…”

Section: Breeding Strategiesmentioning

confidence: 99%

Oxidative discolouration in whole-head and cut lettuce: biochemical and environmental influences on a complex phenotype and potential breeding strategies to improve shelf-life

et al. 2017

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Lettuce discolouration is a key post-harvest trait. The major enzyme controlling oxidative discolouration has long been considered to be polyphenol oxidase (PPO) however, levels of PPO and subsequent development of discolouration symptoms have not always correlated. The predominance of a latent state of the enzyme in plant tissues combined with substrate activation and contemporaneous suicide inactivation mechanisms are considered as potential explanations for this phenomenon. Leaf tissue physical properties have been associated with subsequent discolouration and these may be influenced by variation in nutrient availability, especially excess nitrogen and head maturity at harvest. Mild calcium and irrigation stress has also been associated with a reduction in subsequent discolouration, although excess irrigation has been linked to increased discolouration potentially through leaf physical properties. These environmental factors, including high temperature and UV light intensities, often have impacts on levels of phenolic compounds linking the environmental responses to the biochemistry of the PPO pathway. Breeding strategies targeting the PAL and PPO pathway biochemistry and environmental response genes are discussed as a more cost-effective method of mitigating oxidative discolouration then either modified atmosphere packaging or post-harvest treatments, although current understanding of the biochemistry means that such programs are likely to be limited in nature and it is likely that they will need to be deployed alongside other methods for the foreseeable future.Keywords Lettuce Á Discolouration Á Biochemistry Á Environment Á Polyphenols Á Phenylpropanoid pathway Á Review The value of lettuceThe UK processed salad sector was valued at approximately £848 million in

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An integrated interspecific AFLP map of lettuce (Lactuca) based on two L. sativa × L. saligna F2 populations

Cited by 86 publications

References 24 publications

Genetic map construction and QTL analysis of nitrogen use efficiency in spinach (Spinacia oleracea L.)

Genetic map construction and QTL analysis of nitrogen use efficiency in spinach (Spinacia oleracea L.)

New genetic maps for globe artichoke and wild cardoon and their alignment with an SSR-based consensus map

Oxidative discolouration in whole-head and cut lettuce: biochemical and environmental influences on a complex phenotype and potential breeding strategies to improve shelf-life

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