Publicações

@article{Schinor2020,

title = {Agronomic characterization of citrandarin fruits and seeds},

author = {Evandro Henrique Schinor and Marcelo Arakaki and Mariângela Cristofani-Yaly},

url = {https://www.comunicatascientiae.com.br/comunicata/article/view/3416},

doi = {10.14295/CS.V11I.3416},

issn = {2177-5133},

year  = {2020},

date = {2020-01-01},

journal = {Comunicata Scientiae},

volume = {11},

pages = {e3416-e3416},

publisher = {Federal University ofPiauI},

abstract = {In citrus cultivation, rootstocks are of fundamental importance and affect several characteristics of the variety used as canopy. Despite the great diversity within Citrus and related genera, the production of rootstocks in Brazil is restricted to a small number of varieties, making the citrus culture vulnerable to the appearance of phytosanitary problems. The aim of this study was to agronomically characterize fruits and seeds of seven citrandarins [Citrus sunki (Hayata) hort. ex Tanaka x Poncirus trifoliata cv. Rubidoux (L.) Raf.], obtained by controlled crossing. The orchard was installed in randomized blocks, with three replicates, in the municipality of Cordeirópolis, SP, where 20 fruits were collected in each replicate, obtained from free pollination of seven citrandarins, Swingle citrumelo and Rangpur lime. The following variables were evaluated: fruit mass, height, diameter, total number of seeds and percentage of viable seeds per fruit; number of embryos per seed, mass of one thousand seeds, number of seeds in 1.0 kg, final emergence rate, number of seedlings per seed, polyembryony rate, emergence speed index and seedling height at 60 days after sowing. For fruit size, the highest values were obtained for Swingle citrumelo. For number of embryos per seed, seedlings obtained through seed and polyembryony, citrandarin TSxPT 245 showed the highest values. Although citrandarin fruits had smaller size than fruits from commercial Rangpur lime and Swingle citrumelo rootstocks, characteristics related to seeds such as viability, polyembryony and emergence rate, were similar or superior, and can be considered potential new rootstocks for the production of citrus plants.},

keywords = {Citrus sunki, hybrids, Polyembryony, Poncirus trifoliata, rootstock},

pubstate = {published},

tppubtype = {article}

}

@article{Lima2018b,

title = {QTLs and eQTLs mapping related to citrandarins' resistance to citrus gummosis disease},

author = {Rômulo P. M. Lima and Maiara Curtolo and Marcus V. Merfa and Mariângela Cristofani-Yaly and Marcos A. Machado},

url = {https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-018-4888-2},

doi = {10.1186/S12864-018-4888-2/TABLES/4},

issn = {14712164},

year  = {2018},

date = {2018-01-01},

journal = {BMC Genomics},

volume = {19},

issue = {1},

pages = {1-17},

publisher = {BioMed Central Ltd.},

abstract = {Background: Phytophthora nicotianae Breda de Haan (Phytophthora parasitica Dastur) causes severe damage to citrus crops worldwide. A population of citrandarins was created from the cross between the susceptible parent Citrus sunki Hort. Ex Tan. and the resistant parent Poncirus trifoliata (L.) Raf. cv. Rubidoux, both parents and two reference rootstocks (Rangpur lime and Swingle citrumelo) were grafted in a greenhouse on Rangpur lime. Inoculations were performed at 10 cm and 15 cm above the grafting region and the resulting lesions were evaluated by measuring the lesion length 60 days after inoculation. As control, non-inoculated plants of each genotype were used. In addition, we evaluated the expression of 19 candidate genes involved in citrus defense response 48 h after pathogen infection by quantitative Real-Time PCR (qPCR). We mapped genomic regions of Quantitative Trait Loci (QTLs) and Expression Quantitative Trait Loci (eQTLs) associated with resistance to P. parasitica in the linkage groups (LGs) of the previously constructed maps of C. sunki and P. trifoliata. Results: We found disease severity differences among the generated hybrids, with lesion lengths varying from 1.15 to 11.13 mm. The heritability of the character was 65%. These results indicate that there is a great possibility of success in the selection of resistant hybrids within this experiment. The analysis of gene expression profile demonstrated a great variation of responses regarding the activation of plant defense pathways, indicating that citrandarins have several defense strategies to control oomycete infection. The information of the phenotypic and gene expression data made possible to detect genomic regions associated with resistance. Three QTLs and 84 eQTLs were detected in the linkage map of P. trifoliata, while one QTL and 110 eQTLs were detected in C. sunki. Conclusions: This is the first study to use eQTLs mapping in the Phytophthora-citrus interaction. Our results from the QTLs and eQTLs mapping allow us to conclude that the resistance of some citrandarins to the infection by P. parasitica is due to a favorable combination of QTLs and eQTLs transmitted by both parents.},

keywords = {Citrus sunki, Defense genes, Expression quantitative trait loci, hybrids, Poncirus trifoliata},

pubstate = {published},

tppubtype = {article}

}

@article{Lima2018,

title = {QTLs and eQTLs mapping related to citrandarins' resistance to citrus gummosis disease},

author = {Rômulo P. M. Lima and Maiara Curtolo and Marcus V. Merfa and Mariângela Cristofani-Yaly and Marcos A. Machado},

url = {https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-018-4888-2},

doi = {10.1186/S12864-018-4888-2/TABLES/4},

issn = {14712164},

year  = {2018},

date = {2018-01-01},

journal = {BMC Genomics},

volume = {19},

issue = {1},

pages = {1-17},

publisher = {BioMed Central Ltd.},

abstract = {Background: Phytophthora nicotianae Breda de Haan (Phytophthora parasitica Dastur) causes severe damage to citrus crops worldwide. A population of citrandarins was created from the cross between the susceptible parent Citrus sunki Hort. Ex Tan. and the resistant parent Poncirus trifoliata (L.) Raf. cv. Rubidoux, both parents and two reference rootstocks (Rangpur lime and Swingle citrumelo) were grafted in a greenhouse on Rangpur lime. Inoculations were performed at 10 cm and 15 cm above the grafting region and the resulting lesions were evaluated by measuring the lesion length 60 days after inoculation. As control, non-inoculated plants of each genotype were used. In addition, we evaluated the expression of 19 candidate genes involved in citrus defense response 48 h after pathogen infection by quantitative Real-Time PCR (qPCR). We mapped genomic regions of Quantitative Trait Loci (QTLs) and Expression Quantitative Trait Loci (eQTLs) associated with resistance to P. parasitica in the linkage groups (LGs) of the previously constructed maps of C. sunki and P. trifoliata. Results: We found disease severity differences among the generated hybrids, with lesion lengths varying from 1.15 to 11.13 mm. The heritability of the character was 65%. These results indicate that there is a great possibility of success in the selection of resistant hybrids within this experiment. The analysis of gene expression profile demonstrated a great variation of responses regarding the activation of plant defense pathways, indicating that citrandarins have several defense strategies to control oomycete infection. The information of the phenotypic and gene expression data made possible to detect genomic regions associated with resistance. Three QTLs and 84 eQTLs were detected in the linkage map of P. trifoliata, while one QTL and 110 eQTLs were detected in C. sunki. Conclusions: This is the first study to use eQTLs mapping in the Phytophthora-citrus interaction. Our results from the QTLs and eQTLs mapping allow us to conclude that the resistance of some citrandarins to the infection by P. parasitica is due to a favorable combination of QTLs and eQTLs transmitted by both parents.},

keywords = {Citrus sunki, Defense genes, Expression quantitative trait loci, hybrids, Poncirus trifoliata},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Mathematical models to estimate leaf area of citrus genotypes},

author = {Alexandre Dias Dutra and Maurício Antonio and Coelho Filho and Amábili Gunes and Viana Pissinato and Abelmon Da and Silva Gesteira and Walter Dos Santos and Soares Filho and Marilene Fancelli},

url = {https://academicjournals.org/journal/AJAR/article-abstract/7ECAD7162366},

doi = {10.5897/AJAR2016.11873},

issn = {1991-637X},

year  = {2017},

date = {2017-01-01},

journal = {African Journal of Agricultural Research},

volume = {12},

issue = {2},

pages = {125-132},

publisher = {Academic Journals},

abstract = {Mathematical models were developed, using 22 different genotypes of citrus, to estimate leaf area. The information of the relationship between leaf length and width (L/W)2 for simple leaf blade form (eliptic, ovate, obovate, lanceolate); and length of the three folioles (L2+L3)/L1 for a compound leaf (trifoliate leaves), was used with the purpose to separate group of similarities of leaf blade form and promote high accuracy of estimate. The best models presented an excellent precision with errors varying from 1.2 to 6.2 (%) and r2 higher than 0.95 for the majority of the models tested. Considering a single leaf blade, the linear model (Y = β . L . W) presented the lower mean deviation and lower square deviation. For the compound leaves, the potential models are simple to use, since use only the information of length of central foliole L1 (Y= β L1µ), although the use of linear models gave the best precision, as observed by using the model Y = β . L1 . W1. Furthermore the model might be used as a single model independent of the relation (L2+L3)/L1∶ Y=β⋅(L1⋅W1 + L2⋅W2 + L3⋅W3), r² = 0.98. 

 

	Key words: Citrus, compound leaf, hybrids, leaf area modeling.},

keywords = {Citrus, compound leaf, hybrids, leaf area modeling},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Mathematical models to estimate leaf area of citrus genotypes},

author = {Alexandre Dias Dutra and Maurício Antonio and Coelho Filho and Amábili Gunes and Viana Pissinato and Abelmon Da and Silva Gesteira and Walter Dos Santos and Soares Filho and Marilene Fancelli},

url = {https://academicjournals.org/journal/AJAR/article-abstract/7ECAD7162366},

doi = {10.5897/AJAR2016.11873},

issn = {1991-637X},

year  = {2017},

date = {2017-01-01},

journal = {African Journal of Agricultural Research},

volume = {12},

issue = {2},

pages = {125-132},

publisher = {Academic Journals},

abstract = {Mathematical models were developed, using 22 different genotypes of citrus, to estimate leaf area. The information of the relationship between leaf length and width (L/W)2 for simple leaf blade form (eliptic, ovate, obovate, lanceolate); and length of the three folioles (L2+L3)/L1 for a compound leaf (trifoliate leaves), was used with the purpose to separate group of similarities of leaf blade form and promote high accuracy of estimate. The best models presented an excellent precision with errors varying from 1.2 to 6.2 (%) and r2 higher than 0.95 for the majority of the models tested. Considering a single leaf blade, the linear model (Y = β . L . W) presented the lower mean deviation and lower square deviation. For the compound leaves, the potential models are simple to use, since use only the information of length of central foliole L1 (Y= β L1µ), although the use of linear models gave the best precision, as observed by using the model Y = β . L1 . W1. Furthermore the model might be used as a single model independent of the relation (L2+L3)/L1∶ Y=β⋅(L1⋅W1 + L2⋅W2 + L3⋅W3), r² = 0.98. 

 

	Key words: Citrus, compound leaf, hybrids, leaf area modeling.},

keywords = {Citrus, compound leaf, hybrids, leaf area modeling},

pubstate = {published},

tppubtype = {article}

}

@article{Curtolo2017,

title = {QTL mapping for fruit quality in Citrus using DArTseq markers},

author = {Maiara Curtolo and Mariângela Cristofani-Yaly and Rodrigo Gazaffi and Marco Aurélio Takita and Antonio Figueira and Marcos Antonio Machado},

url = {https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-017-3629-2},

doi = {10.1186/S12864-017-3629-2/TABLES/5},

issn = {14712164},

year  = {2017},

date = {2017-01-01},

journal = {BMC Genomics},

volume = {18},

issue = {1},

pages = {1-16},

publisher = {BioMed Central Ltd.},

abstract = {Background: Citrus breeding programs have many limitations associated with the species biology and physiology, requiring the incorporation of new biotechnological tools to provide new breeding possibilities. Diversity Arrays Technology (DArT) markers, combined with next-generation sequencing, have wide applicability in the construction of high-resolution genetic maps and in quantitative trait locus (QTL) mapping. This study aimed to construct an integrated genetic map using full-sib progeny derived from Murcott tangor and Pera sweet orange and DArTseq™ molecular markers and to perform QTL mapping of twelve fruit quality traits. A controlled Murcott x Pera crossing was conducted at the Citrus Germplasm Repository at the Sylvio Moreira Citrus Centre of the Agronomic Institute (IAC) located in Cordeirópolis, SP, in 1997. In 2012, 278F1 individuals out of a family of 312 confirmed hybrid individuals were analyzed for fruit traits and genotyped using the DArTseq markers. Using OneMap software to obtain the integrated genetic map, we considered only the DArT loci that showed no segregation deviation. The likelihood ratio and the genomic information from the available Citrus sinensis L. Osbeck genome were used to determine the linkage groups (LGs). Results: The resulting integrated map contained 661 markers in 13 LGs, with a genomic coverage of 2,774cM and a mean density of 0.23 markers/cM. The groups were assigned to the nine Citrus haploid chromosomes; however, some of the chromosomes were represented by two LGs due the lack of information for a single integration, as in cases where markers segregated in a 3:1 fashion. A total of 19 QTLs were identified through composite interval mapping (CIM) of the 12 analyzed fruit characteristics: fruit diameter (cm), height (cm), height/diameter ratio, weight (g), rind thickness (cm), segments per fruit, total soluble solids (TSS, %), total titratable acidity (TTA, %), juice content (%), number of seeds, TSS/TTA ratio and number of fruits per box. The genomic sequence (pseudochromosomes) of C. sinensis was compared to the genetic map, and synteny was clearly identified. Further analysis of the map regions with the highest LOD scores enabled the identification of putative genes that could be associated with the fruit quality characteristics. Conclusion: An integrated linkage map of Murcott tangor and Pera sweet orange using DArTseq™ molecular markers was established and it was useful to perform QTL mapping of twelve fruit quality traits. The next generation sequences data allowed the comparison between the linkage map and the genomic sequence (pseudochromosomes) of C. sinensis and the identification of genes that may be responsible for phenotypic traits in Citrus. The obtained linkage map was used to assign sequences that had not been previously assigned to a position in the reference genome.},

keywords = {hybrids, Integrated linkage map, Mandarins, sweet orange, Synteny},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Mathematical models to estimate leaf area of citrus genotypes},

author = {Alexandre Dias Dutra and Maurício Antonio and Coelho Filho and Amábili Gunes and Viana Pissinato and Abelmon Da and Silva Gesteira and Walter Dos Santos and Soares Filho and Marilene Fancelli},

url = {https://academicjournals.org/journal/AJAR/article-abstract/7ECAD7162366},

doi = {10.5897/AJAR2016.11873},

issn = {1991-637X},

year  = {2017},

date = {2017-01-01},

journal = {African Journal of Agricultural Research},

volume = {12},

issue = {2},

pages = {125-132},

publisher = {Academic Journals},

abstract = {Mathematical models were developed, using 22 different genotypes of citrus, to estimate leaf area. The information of the relationship between leaf length and width (L/W)2 for simple leaf blade form (eliptic, ovate, obovate, lanceolate); and length of the three folioles (L2+L3)/L1 for a compound leaf (trifoliate leaves), was used with the purpose to separate group of similarities of leaf blade form and promote high accuracy of estimate. The best models presented an excellent precision with errors varying from 1.2 to 6.2 (%) and r2 higher than 0.95 for the majority of the models tested. Considering a single leaf blade, the linear model (Y = β . L . W) presented the lower mean deviation and lower square deviation. For the compound leaves, the potential models are simple to use, since use only the information of length of central foliole L1 (Y= β L1µ), although the use of linear models gave the best precision, as observed by using the model Y = β . L1 . W1. Furthermore the model might be used as a single model independent of the relation (L2+L3)/L1∶ Y=β⋅(L1⋅W1 + L2⋅W2 + L3⋅W3), r² = 0.98. 

 

	Key words: Citrus, compound leaf, hybrids, leaf area modeling.},

keywords = {Citrus, compound leaf, hybrids, leaf area modeling},

pubstate = {published},

tppubtype = {article}

}