ArticleBMC genetics2012
A novel linkage map of sugarcane with evidence for clustering of retrotransposon-based markers.
Article in BMC genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- QTL mapping and identification of candidate genes linked to red rot resistance in sugarcane.3 Biotech · 2023Article
- Validation of candidate gene-based EST-SSR markers for sugar yield in sugarcane.Frontiers in plant science · 2023Article
- Experimental evaluation of genomic selection prediction for rust resistance in sugarcane.The plant genome · 2021Article
- Construction of a High-Density Genetic Map ofFrontiers in plant science · 2021Article
- Unraveling the genetic structure of Brazilian commercial sugarcane cultivars through microsatellite markers.PloS one · 2018Article
- SSR-enriched genetic linkage maps of bermudagrass (Cynodon dactylon × transvaalensis), and their comparison with allied plant genomes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
- GBS-based single dosage markers for linkage and QTL mapping allow gene mining for yield-related traits in sugarcane.BMC genomics · 2017Article
- RNAseq Transcriptional Profiling following Whip Development in Sugarcane Smut Disease.PloS one · 2016Article
- Punctuated distribution of recombination hotspots and demarcation of pericentromeric regions in Phaseolus vulgaris L.PloS one · 2015Article
- Building the sugarcane genome for biotechnology and identifying evolutionary trends.BMC genomics · 2014Article
- A comprehensive genetic map of sugarcane that provides enhanced map coverage and integrates high-throughput Diversity Array Technology (DArT) markers.BMC genomics · 2014Article
- Full-length enriched cDNA libraries and ORFeome analysis of sugarcane hybrid and ancestor genotypes.PloS one · 2014Article
- Biofuel and energy crops: high-yield Saccharinae take center stage in the post-genomics era.Genome biology · 2013Review
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12 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe development of sugarcane as a sustainable crop has unlimited applications. The crop is one of the most economically viable for renewable energy production, and CO2 balance. Linkage maps are valuable tools for understanding genetic and genomic organization, particularly in sugarcane due to its complex polyploid genome of multispecific origins. The overall objective of our study was to construct a novel sugarcane linkage map, compiling AFLP and EST-SSR markers, and to generate data on the distribution of markers anchored to sequences of scIvana_1, a complete sugarcane transposable element, and member of the Copia superfamily.
resultsThe mapping population parents ('IAC66-6' and 'TUC71-7') contributed equally to polymorphisms, independent of marker type, and generated markers that were distributed into nearly the same number of co-segregation groups (or CGs). Bi-parentally inherited alleles provided the integration of 19 CGs. The marker number per CG ranged from two to 39. The total map length was 4,843.19 cM, with a marker density of 8.87 cM. Markers were assembled into 92 CGs that ranged in length from 1.14 to 404.72 cM, with an estimated average length of 52.64 cM. The greatest distance between two adjacent markers was 48.25 cM. The scIvana_1-based markers (56) were positioned on 21 CGs, but were not regularly distributed. Interestingly, the distance between adjacent scIvana_1-based markers was less than 5 cM, and was observed on five CGs, suggesting a clustered organization.
conclusionsResults indicated the use of a NBS-profiling technique was efficient to develop retrotransposon-based markers in sugarcane. The simultaneous maximum-likelihood estimates of linkage and linkage phase based strategies confirmed the suitability of its approach to estimate linkage, and construct the linkage map. Interestingly, using our genetic data it was possible to calculate the number of retrotransposon scIvana_1 (~60) copies in the sugarcane genome, confirming previously reported molecular results. In addition, this research possibly will have indirect implications in crop economics e.g., productivity enhancement via QTL studies, as the mapping population parents differ in response to an important fungal disease.
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