Resultados totales (Incluyendo duplicados): 45
Encontrada(s) 5 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278282
Dataset. 2018

DATA FROM: BIOLOGICAL INVASION MODIFIES THE CO-OCCURRENCE PATTERNS OF INSECTS ALONG A STRESS GRADIENT

  • Carbonell, José Antonio
  • Velasco, Josefa
  • Millán, Andrés
  • Green, Andy J.
  • Coccia, Cristina
  • Guareschi, Simone
  • Gutiérrez-Cánovas, Cayetano
Compressed file containing 7 archives: environmental and biological data from invaded and non-invaded areas (original dataset); environmental and biological data from invaded area (to be used for data analysis along with the R script); environmental and biological data from non-invaded area (to be used for data analysis along with the R script); physiological and biological traits of corixids and their categories (to be used for data analysis along with the R script); affinity values of species for each trait category (to be used for data analysis along with the R script), physiological and biological traits of corixids and their categories (original dataset); document with detailed archives description., Biological invasions have become one of the most important drivers of biodiversity loss and ecosystem change world-wide. However, it is still unclear how invasions may interact with local abiotic stressors, which are expected to increase as global change intensifies. Furthermore, we know little about the response to biological invasions of insects, despite their disproportionate contribution to global animal biodiversity. The aim of the present work is to investigate the impact of an invasive aquatic insect on the co-occurrence patterns of native species of insects along a salinity gradient, and determine which assembly rules are driving these patterns. First, we characterised the habitat specialisation and functional niches of each species from physiological and biological traits, respectively, and their degree of overlap. Second, we used field data to compare the co-occurrence patterns of native and invasive species in invaded and non-invaded areas of southern Iberia and northern Morocco. Finally, we tested if habitat filtering or niche differentiation assembly rules mediate their co-occurrence. In non-invaded areas, habitat filtering drives habitat segregation of species along the salinity gradient, with a lower contribution of niche differentiation. The presence of the invasive insect modifies the distribution and co-occurrence patterns of native species. In invaded areas, niche differentiation seems to be the main mechanism to avoid competition among the invasive and native species, enabling coexistence and resource partitioning. The combined study of functional niche similarity and abiotic stressor tolerance of invasive and native species can improve our understanding of the effects of invasive species along abiotic stress gradients. This approach may increase our capacity to predict the outcomes of biological invasion in a global change context., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/278282
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278282
HANDLE: http://hdl.handle.net/10261/278282
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278282
PMID: http://hdl.handle.net/10261/278282
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278282
Ver en: http://hdl.handle.net/10261/278282
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278282

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/281351
Dataset. 2018

DATA FROM: SHOREBIRDS AS IMPORTANT VECTORS FOR PLANT DISPERSAL IN EUROPE

  • Lovas-Kiss, Ádám
  • Sánchez, Marta I.
  • Wilkinson, David M.
  • Coughlan, Neil E.
  • Alves, José A.
  • Green, Andy J.
Raw data on intact seeds in shorebirds This file contains data of the faecal samples collected from the field in different locations with date, faeces sample mass, plant species name, and the number of seeds per taxon. This file was made with Microsoft Excel 2016 shorebird.xlsx, Shorebirds (Charadriiformes) undergo rapid migrations with potential for long-distance dispersal (LDD) of plants. We studied the frequency of endozoochory by shorebirds in different parts of Europe covering a broad latitudinal range and different seasons. We assessed whether plants dispersed conformed to morphological dispersal syndromes. A total of 409 excreta samples (271 faeces and 138 pellets) were collected from redshank (Tringa totanus), black-winged stilt (Himantopus himantopus), pied avocet (Recurvirostra avosetta), northern lapwing (Vanellus vanellus), Eurasian curlew (Numenius arquata) and black-tailed godwit (Limosa limosa) in south-west Spain, north-west England, southern Ireland and Iceland in 2005 and 2016, and intact seeds were extracted and identified. Godwits were sampled just before or after migratory movements between England and Iceland. The germinability of seeds was tested. Intact diaspores were recovered from all bird species and study areas, and were present in 13% of samples overall. Thirteen plant families were represented, including Charophyceae and 26 angiosperm taxa. Only four species had an "endozoochory syndrome". Four alien species were recorded. Ellenberg values classified three species as aquatic and 20 as terrestrial. Overall, 89% of seeds were from terrestrial plants, and 11% from aquatic plants. Average seed length was higher in redshank pellets than in their faeces. Six species were germinated, none of which had an endozoochory syndrome. Seeds were recorded during spring and autumn migration. Plant species recorded have broad latitudinal ranges consistent with LDD via shorebirds. Crucially, morphological syndromes do not adequately predict LDD potential, and more empirical work is required to identify which plants are dispersed by shorebirds. Incorporating endozoochory by shorebirds and other migratory waterbirds into plant distribution models would allow us to better understand the natural processes that facilitated colonization of oceanic islands, or to improve predictions of how plants will respond to climate change, or how alien species spread., Peer reviewed

Proyecto: //

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/308427
Dataset. 2022

FLOWCHART OUTLINING THE PIPELINE FOR SMALL RNASEQ ANALYSIS

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 figure, Including the identification of known and putative novel miRNAs, miRNA abundance profiling and differential abundance analysis. rRNA: ribosomal RNA; tRNA: transfer RNA; snoRNA: small nucleolar RNA; snRNA: small nuclear RNA; RE: repeat elements; qPCR: quantitative real-time PCR., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/308427
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/308427
HANDLE: http://hdl.handle.net/10261/308427
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/308427
PMID: http://hdl.handle.net/10261/308427
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/308427
Ver en: http://hdl.handle.net/10261/308427
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/308427

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310598
Dataset. 2022

STACKED BAR PLOT REPORTING THE FRACTION OF SMALL RNASEQ READS ASSIGNED TO THE ANNOTATED FELIS CATUS MIRNAS (FCA-MIRNAS) FROM ENSEMBL V.99 (BLUE), FELINE GENOME (ORANGE) OR THAT WERE NOT MAPPED (RED)

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 figure, CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310598
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310598
HANDLE: http://hdl.handle.net/10261/310598
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310598
PMID: http://hdl.handle.net/10261/310598
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310598
Ver en: http://hdl.handle.net/10261/310598
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310598

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310603
Dataset. 2022

PRINCIPAL COMPONENT ANALYSIS (PCA) OF SAMPLES PROFILED BY SMALL RNASEQ TECHNIQUE

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
A. PCA of urine samples on the basis of normalized read counts of the known and putative novel miRNAs for the 38 samples initially processed. The red arrows indicate the outlier Control samples (C5, C6 and C7). B. PCA excluding the high outlier samples. CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310603
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310603
HANDLE: http://hdl.handle.net/10261/310603
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310603
PMID: http://hdl.handle.net/10261/310603
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310603
Ver en: http://hdl.handle.net/10261/310603
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310603

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310606
Dataset. 2022

DETAILED CHARACTERISTICS OF THE KNOWN AND PUTATIVE NOVEL MIRNAS IN CAT URINE FOR THE 35 SAMPLES BASED ON RNASEQ DATA

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
A. Proportion of samples for which each of the known miRNAs across the different groups were detected. B. Cumulative abundance of the known feline miRNAs. The dots indicate the log10 of the miRNA abundance for each miRNA. miRNAs are sorted in each group in a decreasing order by their miRNA abundance on the x-axis, independently for each group. C. Proportion of samples for which each of the putative novel miRNA candidates across the different groups were detected. D. Cumulative abundance of the putative novel miRNAs. The dots indicate the log10 of the miRNA abundance for each miRNA. miRNAs are sorted in each group in a decreasing order by their miRNA abundance on the x-axis, independently for each group. CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction, CPM: Counts per million., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310606
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310606
HANDLE: http://hdl.handle.net/10261/310606
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310606
PMID: http://hdl.handle.net/10261/310606
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310606
Ver en: http://hdl.handle.net/10261/310606
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310606

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310610
Dataset. 2022

PRINCIPAL COMPONENT ANALYSIS (PCA) OF URINE SAMPLES (N = 38) ON THE BASIS OF LOG2 NORMALIZED RELATIVE QUANTITIES (RQ) OF PROFILED MIRNAS USING QPCR

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 figure., All samples together (all groups), as well as each one of the contrasts considered (Controls vs. PN; Control vs. SB/C; Control vs. UO; Control vs. CKD; PN vs. SB/C; PN vs. UO; PN vs. CKD and PN vs. other Pathologies) are shown. CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310610
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310610
HANDLE: http://hdl.handle.net/10261/310610
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310610
PMID: http://hdl.handle.net/10261/310610
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310610
Ver en: http://hdl.handle.net/10261/310610
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310610

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310617
Dataset. 2022

PEARSON CORRELATION ANALYSIS BETWEEN ABUNDANCE PROFILES OF SMALL RNASEQ AND QPCR DATA FROM SELECTED MIRNAS THAT WERE DA (|LOG2FC| ≥ 1.5 FOR QPCR AND ≥ 2 FOR SMALL RNASEQ; Q-VALUE < 0.05) USING BOTH METHODOLOGIES

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 figure., CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction, CPM: Counts per million, Rq: Relative quantities., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310617
HANDLE: http://hdl.handle.net/10261/310617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310617
PMID: http://hdl.handle.net/10261/310617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310617
Ver en: http://hdl.handle.net/10261/310617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310617

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310621
Dataset. 2022

BLAND-ALTMAN PLOTS OF ABUNDANCE PROFILES OF SMALL RNASEQ AND QPCR

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
The data presented is from selected miRNAs that were DA (|log2FC| ≥ 1.5 for qPCR and |log2FC| ≥ 2 for small RNAseq; q-value < 0.05) using both methodologies. CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction, CPM: Counts per million, Rq: Relative quantities., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310621
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310621
HANDLE: http://hdl.handle.net/10261/310621
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310621
PMID: http://hdl.handle.net/10261/310621
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310621
Ver en: http://hdl.handle.net/10261/310621
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310621

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310630
Dataset. 2022

MIRNAS SELECTED FOR QPCR VERIFICATION

  • Gòdia, Marta
  • Brogaard, Louise
  • Mármol-Sánchez, Emilio
  • Langhorn, Rebecca
  • Nordang Kieler, Ida
  • Reezigt, Bert Jan
  • Nielsen, Lise Nikolic
  • Jessen, Lisbeth Rem
  • Cirera, Susanna
1 table., The table includes for each miRNA the arguments for its selection for further validation, the forward and reverse sequence, the miRBase sequence used as template for primer design, if successful miRNA amplification was obtained with qPCR and qPCR amplification efficiency., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310630
HANDLE: http://hdl.handle.net/10261/310630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310630
PMID: http://hdl.handle.net/10261/310630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310630
Ver en: http://hdl.handle.net/10261/310630
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310630

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