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dc.contributor.author | Modesto, Ines![]() |
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dc.contributor.author | Inacio, Vera![]() |
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dc.contributor.author | Novikova, Polina![]() |
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dc.contributor.author | Carrasquinho, Isabel![]() |
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dc.contributor.author | Van de Peer, Yves![]() |
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dc.contributor.author | Miguel, Celia![]() |
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dc.date.accessioned | 2022-11-01T08:27:44Z | |
dc.date.available | 2022-11-01T08:27:44Z | |
dc.date.issued | 2022-06-17 | |
dc.description | SUPPLEMENTARY MATERIALS : Supplementary Figure S1. Type of SNPs identified in P. pinaster RNA-seq analysis; Supplementary Figure S2. Boxplots of the height and diameter at the base of the stem of inoculated plants (half-sib family 440) and t-test results for the comparison of these parameters’ means between susceptible and resistant plants; Supplementary Figure S3. Association analysis of the SNPs in the six sequenced gene fragments under different genetic models with resistance to PWN; Supplementary Figure S4. Genotypes distribution for SNPs associated with phenotype; Supplementary Table S1. Summary of PCR conditions and sequencing results of the 26 SNPs selected for validation; Supplementary Table S2. Summary of mapping statistic per sample and per sequencing lane; Supplementary Table S3. SNPs detected in P. pinaster RNA-seq data; Supplementary Table S4. Details and functional annotation of the SNPs with an Fst ≥ 0.80; Supplementary Table S5. Allele frequencies and Hardy–Weinberg Equilibrium significance values calculated by SNPassoc; Supplementary Table S6. Non-significant results of the haplotype association analysis obtained with SNPassoc. All analyses were performed using a logistics regression model. | en_US |
dc.description | DATA AVAILABILITY STATEMENT : The sequencing data presented in this study are openly available in European Nucleotide Archive (ENA) at EMBL EBI under accession number PRJEB51636. | en_US |
dc.description.abstract | Pinewood nematode (PWN, Bursaphelenchus xylophilus) is the causal agent of pine wilt disease (PWD), which severely affects Pinus pinaster stands in southwestern Europe. Despite the high susceptibility of P. pinaster, individuals of selected half-sib families have shown genetic variability in survival after PWN inoculation, indicating that breeding for resistance can be a valuable strategy to control PWD. In this work, RNA-seq data from susceptible and resistant plants inoculated with PWN were used for SNP discovery and analysis. A total of 186,506 SNPs were identified, of which 31 were highly differentiated between resistant and susceptible plants, including SNPs in genes involved in cell wall lignification, a process previously linked to PWN resistance. Fifteen of these SNPs were selected for validation through Sanger sequencing and 14 were validated. To evaluate SNP-phenotype associations, 40 half-sib plants were genotyped for six validated SNPs. Associations with phenotype after PWN inoculation were found for two SNPs in two different genes (MEE12 and PCMP-E91), as well as two haplotypes of HIPP41, although significance was not maintained following Bonferroni correction. SNPs here detected may be useful for the development of molecular markers for PWD resistance and should be further investigated in future association studies. | en_US |
dc.description.department | Biochemistry | en_US |
dc.description.department | Genetics | en_US |
dc.description.department | Microbiology and Plant Pathology | en_US |
dc.description.sponsorship | This work was supported by Fundação para a Ciência e a Tecnologia, I.P. (FCT/MCTES), through Grants GREEN-it (UID/Multi/04551/2013), BioISI (UIDB/04046/2020 and UIDP/04046/2020) and the doctoral fellowship SFRH/BD/111687/2015 (to I.M.). Support was also provided by FCT/MCTES through national funds (PIDDAC) and co-financed by Fundo Europeu de Desenvolvimento Regional (FEDER) of the EU, through Programa Operacional Regional de Lisboa do Portugal 2020 or other programs that may succeed—PTDC/BAA-MOL/28379/2017, LISBOA-01-0145-FEDER-028379. | en_US |
dc.description.uri | https://www.mdpi.com/journal/forests | en_US |
dc.identifier.citation | Modesto, I.; Inácio, V.; Novikova, P.; Carrasquinho, I.; Van de Peer, Y.; Miguel, C.M. SNP Detection in Pinus pinaster Transcriptome and Association with Resistance to Pinewood Nematode. Forests 2022, 13, 946. https://doi.org/10.3390/f13060946. | en_US |
dc.identifier.issn | 1999-4907 (online) | |
dc.identifier.other | 10.3390/f13060946 | |
dc.identifier.uri | https://repository.up.ac.za/handle/2263/88041 | |
dc.language.iso | en | en_US |
dc.publisher | MDPI | en_US |
dc.rights | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | en_US |
dc.subject | Maritime pine | en_US |
dc.subject | RNA-seq | en_US |
dc.subject | Molecular markers | en_US |
dc.subject | Pinewood nematode (Bursaphelenchus xylophilus) | en_US |
dc.subject | Pine wilt disease (PWD) | en_US |
dc.subject | Single nucleotide polymorphism (SNP) | en_US |
dc.title | SNP detection in Pinus pinaster transcriptome and association with resistance to pinewood nematode | en_US |
dc.type | Article | en_US |