Genetic Mapping With Allele Dosage Information in Tetraploid Urochloa decumbens (Stapf) R. D. Webster Reveals Insights Into Spittlebug (Notozulia entreriana Berg) Resistance
- PMID: 30873183
- PMCID: PMC6401981
- DOI: 10.3389/fpls.2019.00092
Genetic Mapping With Allele Dosage Information in Tetraploid Urochloa decumbens (Stapf) R. D. Webster Reveals Insights Into Spittlebug (Notozulia entreriana Berg) Resistance
Erratum in
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Corrigendum: Genetic Mapping With Allele Dosage Information in Tetraploid Urochloa decumbens (Stapf) R. D. Webster Reveals Insights Into Spittlebug (Notozulia entreriana Berg) Resistance.Front Plant Sci. 2019 Jun 26;10:855. doi: 10.3389/fpls.2019.00855. eCollection 2019. Front Plant Sci. 2019. PMID: 31297129 Free PMC article.
Abstract
Urochloa decumbens (Stapf) R. D. Webster is one of the most important African forage grasses in Brazilian beef production. Currently available genetic-genomic resources for this species are restricted mainly due to polyploidy and apomixis. Therefore, crucial genomic-molecular studies such as the construction of genetic maps and the mapping of quantitative trait loci (QTLs) are very challenging and consequently affect the advancement of molecular breeding. The objectives of this work were to (i) construct an integrated U. decumbens genetic map for a full-sibling progeny using GBS-based markers with allele dosage information, (ii) detect QTLs for spittlebug (Notozulia entreriana) resistance, and (iii) seek putative candidate genes involved in defense against biotic stresses. We used the Setaria viridis genome a reference to align GBS reads and selected 4,240 high-quality SNP markers with allele dosage information. Of these markers, 1,000 were distributed throughout nine homologous groups with a cumulative map length of 1,335.09 cM and an average marker density of 1.33 cM. We detected QTLs for resistance to spittlebug, an important pasture insect pest, that explained between 4.66 and 6.24% of the phenotypic variation. These QTLs are in regions containing putative candidate genes related to defense against biotic stresses. Because this is the first genetic map with SNP autotetraploid dosage data and QTL detection in U. decumbens, it will be useful for future evolutionary studies, genome assembly, and other QTL analyses in Urochloa spp. Moreover, the results might facilitate the isolation of spittlebug-related candidate genes and help clarify the mechanism of spittlebug resistance. These approaches will improve selection efficiency and accuracy in U. decumbens molecular breeding and shorten the breeding cycle.
Keywords: Brachiaria; SNP; allele dosage; linkage map; polyploidy; quantitative traits; signalgrass.
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References
-
- Akaike H. (1974). A new look at the statistical model identification. IEEE Trans. Automat. Contr. 19 716–723. 10.1109/TAC.1974.1100705 - DOI
-
- Almeida M. C. D. C., Chiari L., Jank L., Valle C. B. D. (2011). Diversidade genética molecular entre cultivares e híbridos de Brachiaria spp. e Panicum maximum. Ciênc. Rural 41 1998–2003. 10.1590/S0103-84782011001100024 - DOI
-
- Associação Brasileira das Indústrias Exportadoras de Carne [ABIEC] (2016). Perfil da Pecuária do Brasil: Relatório Anual. Available at: http://abiec.siteoficial.ws/images/upload/sumario-pt-010217.pdf
-
- Bargary N., Hinde J., Garcia A. A. F. (2014). “Finite mixture model clustering of SNP data,” in Statistical Modelling in Biostatistics and Bioinformatics eds MacKenzie G., Peng D. (Berlin: Springer International Publishing; ) 139–157. 10.1007/978-3-319-04579-5_11 - DOI
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