97 research outputs found

    Systemic candidiasis in farm-reared red-legged partridges (Alectoris rufa) caused by Leucosporidium spp

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    BACKGROUND: This report describes the results of radiological, histological and molecular examination of three farm-reared red-legged partridges (Alectoris rufa) affected by candidiasis. CASE PRESENTATION: Three juvenile farm-reared red-legged partridges in a batch of 100 of the same species were sent for clinical and pathological investigations. The owner referred of a sudden isolation of the sick animals, with apathy, diarrhea, ruffled plumage and respiratory rattles. Post mortem total body lateral projection radiograph showed an increased perihilar interstitial pattern and air bronchogram signs due to lung edema. At necropsy, carcasses showed cachexia; the pericloacal region was soiled by diarrheic fecal material. From the mouth to the intestine, a mucous yellowish fluid was present on a slightly reddish mucosa. Histopathology showed slight edema and congestion with different free fungal elements, referable to blastospores, hyphae and pseudohyphae. Biomolecular exam identified the most similar sequences as belonging to Leucosporidium scottii. CONCLUSION: To our knowledge, this case report describes for the first time this fungal species as a causative agent of candidiasis in birds

    RT-qPCR Expression Profiles of Selected Oncogenic and Oncosuppressor miRNAs in Formalin-Fixed, Paraffin-Embedded Canine Mammary Tumors

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    MicroRNAs (miRNAs) can act as oncogenes or oncosuppressor genes, and their involvement in nearly all cancer-associated processes makes these small molecules promising diagnostic and prognostic biomarkers in cancer, as well as specific targets for cancer therapy. This study aimed to investigate the expression of 7 miRNAs (miR-18a, miR-18b, miR-22, miR-124, miR-145, miR-21, miR-146b) in formalin-fixed, paraffin-embedded canine mammary tumors (CMTs) by quantitative reverse transcription polymerase chain reaction (RT-qPCR). Twenty-six mammary samples were selected, including 22 CMTs (7 benign; 15 malignant) and 4 control samples (3 normal mammary gland and 1 case of lobular hyperplasia). Oncogenic miR-18a, miR-18b and miR-21 were significantly upregulated in malignant tumors compared with control tissues (p < 0.05). Conversely, oncosuppressor miR-146b was significantly downregulated in benign and malignant mammary tumors compared with control samples (p < 0.05) while, no group-related differences in the expression levels of miR-22, miR-124 and miR-145 were found (p > 0.05). Upregulated miRNAs found here, may regulate genes involved in receptor-mediated carcinogenesis and proteoglycan remodeling in cancer; while miRNA with reduced expression can regulate genes involved in Toll-like receptor and MAPK signaling pathways. According to the results obtained in the current study, the oncogenic and oncosuppressor miRNAs analyzed here are dysregulated in CMTs and the dysregulation of miRNA targets may lead to specific altered cellular processes and key pathways involved in carcinogenesis. Of note, since oncogenic miRNAs predicted to regulate neoplastic cell proliferation and hormonal activities, they may play an active role in neoplastic transformation and/or progression, having mechanistic and prognostic relevance in CMTs

    Postmortem Electrical Conductivity Changes of Dicentrarchus labrax Skeletal Muscle: Root Mean Square (RMS) Parameter in Estimating Time since Death

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    Electric impedance spectroscopy techniques have been widely employed to study basic biological processes, and recently explored to estimate postmortem interval (PMI). However, the most-relevant parameter to approximate PMI has not been recognized so far. This study investigated electrical conductivity changes in muscle of 18 sea bass specimens, maintained at different room temperatures (15.0◦C; 20.0◦C; 25.0◦C), during a 24 h postmortem period using an oscilloscope coupled with a signal generator, as innovative technology. The root mean square (RMS) was selected among all measured parameters, and recorded every 15 min for 24 h after death. The RMS(t) time series for each animal were collected and statistically analyzed using MATLAB®. A similar trend in RMS values was observed in all animals over the 24 h study period. After a short period, during which the RMS signal decreased, an increasing trend of the signal was recorded for all fish until it reached a peak. Subsequently, the RMS value gradually decreased over time. A strong linear correlation was observed among the time series, confirming that the above time-behaviour holds for all animals. The time at which maximum value is reached strongly depended on the room temperature during the experiments, ranging from 6 h in fish kept at 25.0◦C to 14 h in animals kept at 15.0◦C. The use of the oscilloscope has proven to be a promising technology in the study of electrical muscle properties during the early postmortem interval, with the advantage of being a fast, non-destructive, and inexpensive method, although more studies will be needed to validate this technology before moving to real-time field investigations

    Phytotoxic activity of Salvia x jamensis.

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    A study has been carried out on the surface exudate of Salvia x jamensis, which showed a significant phytotoxic activity against Papaver rhoeas L. and Avena sativa L.. Bioguided separation of the exudate yielded active fractions from which 3β-hydroxy-isopimaric acid (1), hautriwaic acid (2), betulinic acid (3), 7,8β-dihydrosalviacoccin (4), isopimaric acid (5), 14α-hydroxy-isopimaric acid (7), 15,16-epoxy-7α,10β-dihydroxy-clerod-3,13(16),14-trien-17,12;18,19-diolide (8), cirsiliol (5,3′,4′-trihydroxy-6,7-dimethoxyflavone, 9) and two new neoclerodane diterpenes (6 and 10) were isolated. The structures of 6 and 10 were identified as 15,16-epoxy-10β-hydroxy-clerod-3,13(16),14-trien-17,12;18,19-diolide and 15,16-epoxy-7α,10-dihydroxy-clerod-2,13(16),14-trien-17,12;18,19-diolide respectively on the basis of spectroscopic data analysis. All compounds, but 7, 8 and 10, were active in inhibiting the germination of the tested species

    Cardiac indexes, cardiac damage biomarkers and energy expenditure in professional cyclists during the Giro d’Italia 3-weeks stage race

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    Introduction: The study of cardiac response to strenuous and continuous exercise is crucial to un-derstanding the physiology of endurance. N-terminal proB-type natriuretic peptide (NT-proBNP) is a potential marker for monitoring myocardial wall stress, and troponins (TnT and TnI) are widely used in the diagnosis of cardiac ischemia and infarction. Strenuous exercise may generate transitory ische-mia, myocardial stress, and diastolic left ventricular dysfunction, inducing the increased production of both these biomarkers. We measured changes in NT-proBNP and TnT in elite cyclists during a 3-week stage race, a model of strenuous exercise. Materials and methods: The study population was 9 professional cyclists participating in the 2011 Giro d’Italia. Pre-analytical and analytical phases scrupulously followed official recommendations. Anthropometric data, net energy expenditure and cardiac indexes (rate, diastolic and systolic blood pressure) were recorded. Blood samples were drawn pre-race (day -1) and at days 12 and 22; NT-proBNP and highly sensitive-troponin (Hs-TnT) concentrations were assayed and corrected for plas-ma volume changes. Results: Body-mass index decreased and energy expenditure increased by 52% during the race. NT-proBNP concentrations increased [day -1: 23.52 ng/L (9.67-34.33); day 12: 63.46 ng/L (22.15-93.31); P = 0.039; day 22: 89.26 ng/L (34.66-129.78) vs. day -1; P < 0.001] and correlated with heart rate (r = -0.51; P = 0.006), systolic pressure (r = 0.39; P = 0.046) and energy expenditure (r = 0.70; P < 0.001). TnT concentrations did not vary, but a widened TnT amplitude distribution was observed. Conclusions: Increases in NT-proBNP correlated with higher energy expenditure over a 3-week cy-cling stage race, possibly indicating myocardial stress

    The genome sequence of the outbreeding globe artichoke constructed de novo incorporating a phase-aware low-pass sequencing strategy of F1 progeny

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    Globe artichoke (Cynara cardunculus var. scolymus) is an out-crossing, perennial, multi-use crop species that is grown worldwide and belongs to the Compositae, one of the most successful Angiosperm families. We describe the first genome sequence of globe artichoke. The assembly, comprising of 13,588 scaffolds covering 725 of the 1,084 Mb genome, was generated using ~133-fold Illumina sequencing data and encodes 26,889 predicted genes. Re-sequencing (30×) of globe artichoke and cultivated cardoon (C. cardunculus var. altilis) parental genotypes and low-coverage (0.5 to 1×) genotyping-by-sequencing of 163 F(1) individuals resulted in 73% of the assembled genome being anchored in 2,178 genetic bins ordered along 17 chromosomal pseudomolecules. This was achieved using a novel pipeline, SOILoCo (Scaffold Ordering by Imputation with Low Coverage), to detect heterozygous regions and assign parental haplotypes with low sequencing read depth and of unknown phase. SOILoCo provides a powerful tool for de novo genome analysis of outcrossing species. Our data will enable genome-scale analyses of evolutionary processes among crops, weeds, and wild species within and beyond the Compositae, and will facilitate the identification of economically important genes from related species

    Single Primer Enrichment Technology (SPET) for High-Throughput Genotyping in Tomato and Eggplant Germplasm

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    [EN] Single primer enrichment technology (SPET) is a new, robust, and customizable solution for targeted genotyping. Unlike genotyping by sequencing (GBS), and like DNA chips, SPET is a targeted genotyping technology, relying on the sequencing of a region flanking a primer. Its reliance on single primers, rather than on primer pairs, greatly simplifies panel design, and allows higher levels of multiplexing than PCR-based genotyping. Thanks to the sequencing of the regions surrounding the target SNP, SPET allows the discovery of thousands of closely linked, novel SNPs. In order to assess the potential of SPET for high-throughput genotyping in plants, a panel comprising 5k target SNPs, designed both on coding regions and introns/UTRs, was developed for tomato and eggplant. Genotyping of two panels composed of 400 tomato and 422 eggplant accessions, comprising both domesticated material and wild relatives, generated a total of 12,002 and 30,731 high confidence SNPs, respectively, which comprised both target and novel SNPs in an approximate ratio of 1:1.6, and 1:5.5 in tomato and eggplant, respectively. The vast majority of the markers was transferrable to related species that diverged up to 3.4 million years ago (Solanum pennellii for tomato and S. macrocarpon for eggplant). Maximum Likelihood phylogenetic trees and PCA outputs obtained from the whole dataset highlighted genetic relationships among accessions and species which were congruent with what was previously reported in literature. Better discrimination among domesticated accessions was achieved by using the target SNPs, while better discrimination among wild species was achieved using the whole SNP dataset. Our results reveal that SPET genotyping is a robust, high-throughput technology for genetic fingerprinting, with a high degree of cross-transferability between crops and their cultivated and wild relatives, and allows identification of duplicates and mislabeled accessions in genebanks.This work has been funded by the European Union's Horizon 2020 Research and Innovation Programme under the grant agreement number 677379 (G2P-SOL project: Linking genetic resources, genomes, and phenotypes of solanaceous crops).Barchi, L.; Acquadro, A.; Alonso-Martín, D.; Aprea, G.; Bassolino, L.; Demurtas, O.; Ferrante, P.... (2019). Single Primer Enrichment Technology (SPET) for High-Throughput Genotyping in Tomato and Eggplant Germplasm. Frontiers in Plant Science. 10:1-17. https://doi.org/10.3389/fpls.2019.01005S11710Acquadro, A., Barchi, L., Gramazio, P., Portis, E., Vilanova, S., Comino, C., … Lanteri, S. (2017). Coding SNPs analysis highlights genetic relationships and evolution pattern in eggplant complexes. PLOS ONE, 12(7), e0180774. doi:10.1371/journal.pone.0180774Anderson, J. A., Churchill, G. A., Autrique, J. E., Tanksley, S. D., & Sorrells, M. E. (1993). Optimizing parental selection for genetic linkage maps. Genome, 36(1), 181-186. doi:10.1139/g93-024Barchi, L., Pietrella, M., Venturini, L., Minio, A., Toppino, L., Acquadro, A., … Rotino, G. L. (2019). A chromosome-anchored eggplant genome sequence reveals key events in Solanaceae evolution. Scientific Reports, 9(1). doi:10.1038/s41598-019-47985-wBeddows, I., Reddy, A., Kloesges, T., & Rose, L. E. (2017). Population Genomics in Wild Tomatoes—The Interplay of Divergence and Admixture. Genome Biology and Evolution, 9(11), 3023-3038. doi:10.1093/gbe/evx224Blanca, J., Montero-Pau, J., Sauvage, C., Bauchet, G., Illa, E., Díez, M. J., … Cañizares, J. (2015). Genomic variation in tomato, from wild ancestors to contemporary breeding accessions. BMC Genomics, 16(1). doi:10.1186/s12864-015-1444-1Caicedo, A. L., & Schaal, B. A. (2004). Population structure and phylogeography of Solanum pimpinellifolium inferred from a nuclear gene. Molecular Ecology, 13(7), 1871-1882. doi:10.1111/j.1365-294x.2004.02191.xCastle, J. C. (2011). SNPs Occur in Regions with Less Genomic Sequence Conservation. PLoS ONE, 6(6), e20660. doi:10.1371/journal.pone.0020660Cericola, F., Portis, E., Toppino, L., Barchi, L., Acciarri, N., Ciriaci, T., … Lanteri, S. (2013). The Population Structure and Diversity of Eggplant from Asia and the Mediterranean Basin. PLoS ONE, 8(9), e73702. doi:10.1371/journal.pone.0073702Chen, K.-Y., Cong, B., Wing, R., Vrebalov, J., & Tanksley, S. D. (2007). Changes in Regulation of a Transcription Factor Lead to Autogamy in Cultivated Tomatoes. Science, 318(5850), 643-645. doi:10.1126/science.1148428Chen, K.-Y., & Tanksley, S. D. (2004). High-Resolution Mapping and Functional Analysis ofse2.1. Genetics, 168(3), 1563-1573. doi:10.1534/genetics.103.022558Danecek, P., Auton, A., Abecasis, G., Albers, C. A., Banks, E., … DePristo, M. A. (2011). The variant call format and VCFtools. Bioinformatics, 27(15), 2156-2158. doi:10.1093/bioinformatics/btr330Davey, J. W., Hohenlohe, P. A., Etter, P. D., Boone, J. Q., Catchen, J. M., & Blaxter, M. L. (2011). Genome-wide genetic marker discovery and genotyping using next-generation sequencing. Nature Reviews Genetics, 12(7), 499-510. doi:10.1038/nrg3012Del Fabbro, C., Scalabrin, S., Morgante, M., & Giorgi, F. M. (2013). An Extensive Evaluation of Read Trimming Effects on Illumina NGS Data Analysis. PLoS ONE, 8(12), e85024. doi:10.1371/journal.pone.0085024DePristo, M. A., Banks, E., Poplin, R., Garimella, K. V., Maguire, J. R., Hartl, C., … Daly, M. J. (2011). A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nature Genetics, 43(5), 491-498. doi:10.1038/ng.806Dodsworth, S., Chase, M. W., Särkinen, T., Knapp, S., & Leitch, A. R. (2015). Using genomic repeats for phylogenomics: a case study in wild tomatoes (SolanumsectionLycopersicon: Solanaceae). Biological Journal of the Linnean Society, 117(1), 96-105. doi:10.1111/bij.12612Elshire, R. J., Glaubitz, J. C., Sun, Q., Poland, J. A., Kawamoto, K., Buckler, E. S., & Mitchell, S. E. (2011). A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species. PLoS ONE, 6(5), e19379. doi:10.1371/journal.pone.0019379Flint-Garcia, S. A. (2013). Genetics and Consequences of Crop Domestication. Journal of Agricultural and Food Chemistry, 61(35), 8267-8276. doi:10.1021/jf305511dGramazio, P., Prohens, J., Borràs, D., Plazas, M., Herraiz, F. J., & Vilanova, S. (2017). Comparison of transcriptome-derived simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers for genetic fingerprinting, diversity evaluation, and establishment of relationships in eggplants. Euphytica, 213(12). doi:10.1007/s10681-017-2057-3Hoang, D. T., Chernomor, O., von Haeseler, A., Minh, B. Q., & Vinh, L. S. (2017). UFBoot2: Improving the Ultrafast Bootstrap Approximation. Molecular Biology and Evolution, 35(2), 518-522. doi:10.1093/molbev/msx281Hoheisel, J. D. (2006). Microarray technology: beyond transcript profiling and genotype analysis. Nature Reviews Genetics, 7(3), 200-210. doi:10.1038/nrg1809Huerta-Cepas, J., Serra, F., & Bork, P. (2016). ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data. Molecular Biology and Evolution, 33(6), 1635-1638. doi:10.1093/molbev/msw046Isshiki, S., Iwata, N., & Khan, M. M. R. (2008). ISSR variations in eggplant (Solanum melongena L.) and related Solanum species. Scientia Horticulturae, 117(3), 186-190. doi:10.1016/j.scienta.2008.04.003Kamenetzky, L., Asís, R., Bassi, S., de Godoy, F., Bermúdez, L., Fernie, A. R., … Carrari, F. (2010). Genomic Analysis of Wild Tomato Introgressions Determining Metabolism- and Yield-Associated Traits. Plant Physiology, 152(4), 1772-1786. doi:10.1104/pp.109.150532Kouassi, B., Prohens, J., Gramazio, P., Kouassi, A. B., Vilanova, S., Galán-Ávila, A., … Plazas, M. (2016). Development of backcross generations and new interspecific hybrid combinations for introgression breeding in eggplant ( Solanum melongena ). Scientia Horticulturae, 213, 199-207. doi:10.1016/j.scienta.2016.10.039Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., … Homer, N. (2009). The Sequence Alignment/Map format and SAMtools. Bioinformatics, 25(16), 2078-2079. doi:10.1093/bioinformatics/btp352Lin, T., Zhu, G., Zhang, J., Xu, X., Yu, Q., Zheng, Z., … Huang, S. (2014). Genomic analyses provide insights into the history of tomato breeding. Nature Genetics, 46(11), 1220-1226. doi:10.1038/ng.3117Lynch, V. J., & Wagner, G. P. (2010). DID EGG-LAYING BOAS BREAK DOLLO’S LAW? PHYLOGENETIC EVIDENCE FOR REVERSAL TO OVIPARITY IN SAND BOAS (ERYX: BOIDAE). Evolution, 64(1), 207-216. doi:10.1111/j.1558-5646.2009.00790.xMammadov, J., Aggarwal, R., Buyyarapu, R., & Kumpatla, S. (2012). SNP Markers and Their Impact on Plant Breeding. International Journal of Plant Genomics, 2012, 1-11. doi:10.1155/2012/728398Martin, M. (2011). Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.journal, 17(1), 10. doi:10.14806/ej.17.1.200Mason, A. S., Zhang, J., Tollenaere, R., Vasquez Teuber, P., Dalton-Morgan, J., Hu, L., … Batley, J. (2015). High-throughput genotyping for species identification and diversity assessment in germplasm collections. Molecular Ecology Resources, 15(5), 1091-1101. doi:10.1111/1755-0998.12379Meyer, R. S., Karol, K. G., Little, D. P., Nee, M. H., & Litt, A. (2012). Phylogeographic relationships among Asian eggplants and new perspectives on eggplant domestication. Molecular Phylogenetics and Evolution, 63(3), 685-701. doi:10.1016/j.ympev.2012.02.006Miz, R. B., Mentz, L. A., & Souza-Chies, T. T. (2007). Overview of the phylogenetic relationships of some southern Brazilian species from section Torva and related sections of «spiny Solanum» (Solanum subgenus Leptostemonum, Solanaceae). Genetica, 132(2), 143-158. doi:10.1007/s10709-007-9156-3Nairismägi, M.-L., Tan, J., Lim, J. Q., Nagarajan, S., Ng, C. C. Y., Rajasegaran, V., … Ong, C. K. (2016). JAK-STAT and G-protein-coupled receptor signaling pathways are frequently altered in epitheliotropic intestinal T-cell lymphoma. Leukemia, 30(6), 1311-1319. doi:10.1038/leu.2016.13Nguyen, L.-T., Schmidt, H. A., von Haeseler, A., & Minh, B. Q. (2014). IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies. Molecular Biology and Evolution, 32(1), 268-274. doi:10.1093/molbev/msu300Pailles, Y., Ho, S., Pires, I. S., Tester, M., Negrão, S., & Schmöckel, S. M. (2017). Genetic Diversity and Population Structure of Two Tomato Species from the Galapagos Islands. Frontiers in Plant Science, 8. doi:10.3389/fpls.2017.00138Herraiz, F. J., Blanca, J., Ziarsolo, P., Gramazio, P., Plazas, M., Anderson, G. J., … Vilanova, S. (2016). The first de novo transcriptome of pepino (Solanum muricatum): assembly, comprehensive analysis and comparison with the closely related species S. caripense, potato and tomato. BMC Genomics, 17(1). doi:10.1186/s12864-016-2656-8Plazas, M., Andújar, I., Vilanova, S., Gramazio, P., Herraiz, F. J., & Prohens, J. (2014). Conventional and phenomics characterization provides insight into the diversity and relationships of hypervariable scarlet (Solanum aethiopicum L.) and gboma (S. macrocarpon L.) eggplant complexes. Frontiers in Plant Science, 5. doi:10.3389/fpls.2014.00318Plazas, M., Vilanova, S., Gramazio, P., Rodríguez-Burruezo, A., Fita, A., Herraiz, F. J., … Prohens, J. (2016). Interspecific Hybridization between Eggplant and Wild Relatives from Different Genepools. Journal of the American Society for Horticultural Science, 141(1), 34-44. doi:10.21273/jashs.141.1.34Poplin, R., Ruano-Rubio, V., DePristo, M. A., Fennell, T. J., Carneiro, M. O., Van der Auwera, G. A., … Banks, E. (2017). Scaling accurate genetic variant discovery to tens of thousands of samples. doi:10.1101/201178Razali, R., Bougouffa, S., Morton, M. J. L., Lightfoot, D. J., Alam, I., Essack, M., … Negrão, S. (2018). The Genome Sequence of the Wild Tomato Solanum pimpinellifolium Provides Insights Into Salinity Tolerance. Frontiers in Plant Science, 9. doi:10.3389/fpls.2018.01402Robinson, D. F., & Foulds, L. R. (1981). Comparison of phylogenetic trees. Mathematical Biosciences, 53(1-2), 131-147. doi:10.1016/0025-5564(81)90043-2Rodriguez, F., Wu, F., Ané, C., Tanksley, S., & Spooner, D. M. (2009). Do potatoes and tomatoes have a single evolutionary history, and what proportion of the genome supports this history? BMC Evolutionary Biology, 9(1), 191. doi:10.1186/1471-2148-9-191Sakata, Y., & Lester, R. N. (1997). Euphytica, 97(3), 295-301. doi:10.1023/a:1003000612441Sakata, Y., Nishio, T., & Matthews, P. J. (1991). Chloroplast DNA analysis of eggplant (Solanum melongena) and related species for their taxonomic affinity. Euphytica, 55(1), 21-26. doi:10.1007/bf00022555Särkinen, T., Bohs, L., Olmstead, R. G., & Knapp, S. (2013). A phylogenetic framework for evolutionary study of the nightshades (Solanaceae): a dated 1000-tip tree. BMC Evolutionary Biology, 13(1), 214. doi:10.1186/1471-2148-13-214Scaglione, D., Pinosio, S., Marroni, F., Di Centa, E., Fornasiero, A., Magris, G., … Morgante, M. (2019). Single primer enrichment technology as a tool for massive genotyping: a benchmark on black poplar and maize. Annals of Botany, 124(4), 543-551. doi:10.1093/aob/mcz054Scheben, A., Batley, J., & Edwards, D. (2017). Genotyping-by-sequencing approaches to characterize crop genomes: choosing the right tool for the right application. Plant Biotechnology Journal, 15(2), 149-161. doi:10.1111/pbi.12645Scolnick, J. A., Dimon, M., Wang, I.-C., Huelga, S. C., & Amorese, D. A. (2015). An Efficient Method for Identifying Gene Fusions by Targeted RNA Sequencing from Fresh Frozen and FFPE Samples. PLOS ONE, 10(7), e0128916. doi:10.1371/journal.pone.0128916Semagn, K., Babu, R., Hearne, S., & Olsen, M. (2013). Single nucleotide polymorphism genotyping using Kompetitive Allele Specific PCR (KASP): overview of the technology and its application in crop improvement. Molecular Breeding, 33(1), 1-14. doi:10.1007/s11032-013-9917-xSim, S.-C., Van Deynze, A., Stoffel, K., Douches, D. S., Zarka, D., Ganal, M. W., … Francis, D. M. (2012). High-Density SNP Genotyping of Tomato (Solanum lycopersicum L.) Reveals Patterns of Genetic Variation Due to Breeding. PLoS ONE, 7(9), e45520. doi:10.1371/journal.pone.0045520Syfert, M. M., Castañeda-Álvarez, N. P., Khoury, C. K., Särkinen, T., Sosa, C. C., Achicanoy, H. A., … Knapp, S. (2016). Crop wild relatives of the brinjal eggplant (Solanum melongena): Poorly represented in genebanks and many species at risk of extinction. American Journal of Botany, 103(4), 635-651. doi:10.3732/ajb.1500539(2012). The tomato genome sequence provides insights into fleshy fruit evolution. Nature, 485(7400), 635-641. doi:10.1038/nature11119Thomson, R. C., & Shaffer, H. B. (2010). Sparse Supermatrices for Phylogenetic Inference: Taxonomy, Alignment, Rogue Taxa, and the Phylogeny of Living Turtles. Systematic Biology, 59(1), 42-58. doi:10.1093/sysbio/syp075Tranchida-Lombardo, V., Mercati, F., Avino, M., Punzo, P., Fiore, M. C., Poma, I., … Grillo, S. (2018). Genetic diversity in a collection of Italian long storage tomato landraces as revealed by SNP markers array. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, 153(2), 288-297. doi:10.1080/11263504.2018.1478900Vilanova, S., Manzur, J. P., & Prohens, J. (2011). Development and characterization of genomic simple sequence repeat markers in eggplant and their application to the study of diversity and relationships in a collection of different cultivar types and origins. Molecular Breeding, 30(2), 647-660. doi:10.1007/s11032-011-9650-2Vorontsova, M. S., Stern, S., Bohs, L., & Knapp, S. (2013). African spinySolanum(subgenusLeptostemonum, Solanaceae): a thorny phylogenetic tangle. Botanical Journal of the Linnean Society, 173(2), 176-193. doi:10.1111/boj.12053Weese, T. L., & Bohs, L. (2010). Eggplant origins: Out of Africa, into the Orient. TAXON, 59(1), 49-56. doi:10.1002/tax.591006Tan, M. H., Gan, H. M., Schultz, M. B., & Austin, C. M. (2015). MitoPhAST, a new automated mitogenomic phylogeny tool in the post-genomic era with a case study of 89 decapod mitogenomes including eight new freshwater crayfish mitogenomes. Molecular Phylogenetics and Evolution, 85, 180-188. doi:10.1016/j.ympev.2015.02.009Wiens, J. J., & Morrill, M. C. (2011). Missing Data in Phylogenetic Analysis: Reconciling Results from Simulations and Empirical Data. Systematic Biology, 60(5), 719-731. doi:10.1093/sysbio/syr025Williams, C. E., & Clair, D. A. S. (1993). Phenetic relationships and levels of variability detected by restriction fragment length polymorphism and random amplified polymorphic DNA analysis of cultivated and wild accessions of Lycopersicon esculentum. Genome, 36(3), 619-630. doi:10.1139/g93-083Zheng, X., Levine, D., Shen, J., Gogarten, S. M., Laurie, C., & Weir, B. S. (2012). A high-performance computing toolset for relatedness and principal component analysis of SNP data. Bioinformatics, 28(24), 3326-3328. doi:10.1093/bioinformatics/bts60

    Storia di un periodico filosofico statunitense: Philosphy and public affairs

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    Dottorato di ricerca in filosofia. 9. Ciclo. Coordinatore Giuseppe Cambiano. Direttore della ricerca Flavio Baroncelli e Carlo Augusto VianoConsiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7, Rome; Biblioteca Nazionale Centrale - P.za Cavalleggeri, 1, Florence / CNR - Consiglio Nazionale delle RichercheSIGLEITItal
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