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Träfflista för sökning "WFRF:(Olsson Björn) ;pers:(Lindlöf Angelica)"

Sökning: WFRF:(Olsson Björn) > Lindlöf Angelica

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2.
  • Bräutigam, Marcus, 1968, et al. (författare)
  • Development of Swedish winter oat with gene technology and molecular breeding
  • 2006
  • Ingår i: J. Seed Science. - 0039-6990. ; 116:1-2, s. 12-35
  • Tidskriftsartikel (refereegranskat)abstract
    • In Sweden, oat (Avena sativa) is only grown as a spring crop. A Swedish winter oat, on the other hand, would give increased yields and would secure oat in Swedish agriculture. During three consecutive winters we performed field trials with oat aiming at identifying potential winter material. More than 300 varieties, originating from breeding programs all over the world, were tested. Plants were rated according to winter survival, vigour and general performance during the following growth season and more than 20 lines were identified that were cold hardier than present commercial oat varieties. In parallel experiments a cDNA library was constructed from cold induced English winter oat (Gerald) and ca 10000 EST sequences were generated. After data mining a UniGene set of 2800 oat genes was obtained. By detailed analysis of microarray data from cold stressed Arabidopsis and by advanced bioinformatics, gene interactions in the complex cold induced signal transduction pathway were deduced. By comparison to the oat UniGene set, several genes potentially involved in the regulation of cold hardiness in oat were identified. An Agrobacterium mediated transformation protocol was developed for one oat genotype. Key regulatory genes in cold acclimation will be introduced to oat by genetic transformation or modified by TILLING. Such genes will be used as molecular markers in intogression of winter hardiness to commercial oat.
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3.
  • Bräutigam, Marcus, 1968, et al. (författare)
  • Generation and analysis of 9792 EST sequences from cold acclimated oat, Avena sativa
  • 2005
  • Ingår i: BMC Plant Biol. - : Springer Science and Business Media LLC. - 1471-2229. ; 5
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Oat is an important crop in North America and northern Europe. In Scandinavia, yields are limited by the fact that oat cannot be used as a winter crop. In order to develop such a crop, more knowledge about mechanisms of cold tolerance in oat is required. RESULTS: From an oat cDNA library 9792 single-pass EST sequences were obtained. The library was prepared from pooled RNA samples isolated from leaves of four-week old Avena sativa (oat) plants incubated at +4 degrees C for 4, 8, 16 and 32 hours. Exclusion of sequences shorter than 100 bp resulted in 8508 high-quality ESTs with a mean length of 710.7 bp. Clustering and assembly identified a set of 2800 different transcripts denoted the Avena sativa cold induced UniGene set (AsCIUniGene set). Taking advantage of various tools and databases, putative functions were assigned to 1620 (58%) of these genes. Of the remaining 1180 unclassified sequences, 427 appeared to be oat-specific since they lacked any significant sequence similarity (Blast E values > 10(-10)) to any sequence available in the public databases. Of the 2800 UniGene sequences, 398 displayed significant homology (BlastX E values < or = 10(-10)) to genes previously reported to be involved in cold stress related processes. 107 novel oat transcription factors were also identified, out of which 51 were similar to genes previously shown to be cold induced. The CBF transcription factors have a major role in regulating cold acclimation. Four oat CBF sequences were found, belonging to the monocot cluster of DREB family ERF/AP2 domain proteins. Finally in the total EST sequence data (5.3 Mbp) approximately 400 potential SSRs were found, a frequency similar to what has previously been identified in Arabidopsis ESTs. CONCLUSION: The AsCIUniGene set will now be used to fabricate an oat biochip, to perform various expression studies with different oat cultivars incubated at varying temperatures, to generate molecular markers and provide tools for various genetic transformation experiments in oat. This will lead to a better understanding of the cellular biology of this important crop and will open up new ways to improve its agronomical properties.
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4.
  • Chawade, Aakash, et al. (författare)
  • Global expression profiling of low temperature induced genes in the chilling tolerant japonica rice jumli marshi
  • 2013
  • Ingår i: PLOS ONE. - : Public Library of Science. - 1932-6203. ; 8:12, s. e81729-
  • Tidskriftsartikel (refereegranskat)abstract
    • Low temperature is a key factor that limits growth and productivity of many important agronomical crops worldwide. Rice (Oryza sativa L.) is negatively affected already at temperatures below +10°C and is therefore denoted as chilling sensitive. However, chilling tolerant rice cultivars exist and can be commercially cultivated at altitudes up to 3,050 meters with temperatures reaching as low as +4°C. In this work, the global transcriptional response to cold stress (+4°C) was studied in the Nepalese highland variety Jumli Marshi (spp. japonica) and 4,636 genes were identified as significantly differentially expressed within 24 hours of cold stress. Comparison with previously published microarray data from one chilling tolerant and two sensitive rice cultivars identified 182 genes differentially expressed (DE) upon cold stress in all four rice cultivars and 511 genes DE only in the chilling tolerant rice. Promoter analysis of the 182 genes suggests a complex cross-talk between ABRE and CBF regulons. Promoter analysis of the 511 genes identified over-represented ABRE motifs but not DRE motifs, suggesting a role for ABA signaling in cold tolerance. Moreover, 2,101 genes were DE in Jumli Marshi alone. By chromosomal localization analysis, 473 of these cold responsive genes were located within 13 different QTLs previously identified as cold associated.
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5.
  • Chawade, Aakash, 1980, et al. (författare)
  • Putative cold acclimation pathways in Arabidopsis thaliana identified by a combined analysis of mRNA co-expression patterns, promoter motifs and transcription factors
  • 2007
  • Ingår i: BMC GENOMICS. - : Springer Science and Business Media LLC. - 1471-2164. ; 8
  • Tidskriftsartikel (refereegranskat)abstract
    • Background With the advent of microarray technology, it has become feasible to identify virtually all genes in an organism that are induced by developmental or environmental changes. However, relying solely on gene expression data may be of limited value if the aim is to infer the underlying genetic networks. Development of computational methods to combine microarray data with other information sources is therefore necessary. Here we describe one such method. Results By means of our method, previously published Arabidopsis microarray data from cold acclimated plants at six different time points, promoter motif sequence data extracted from ~24,000 Arabidopsis promoters and known transcription factor binding sites were combined to construct a putative genetic regulatory interaction network. The inferred network includes both previously characterised and hitherto un-described regulatory interactions between transcription factor (TF) genes and genes that encode other TFs or other proteins. Part of the obtained transcription factor regulatory network is presented here. More detailed information is available in the additional files. Conclusion The rule-based method described here can be used to infer genetic networks by combining data from microarrays, promoter sequences and known promoter binding sites. This method should in principle be applicable to any biological system. We tested the method on the cold acclimation process in Arabidopsis and could identify a more complex putative genetic regulatory network than previously described. However, it should be noted that information on specific binding sites for individual TFs were in most cases not available. Thus, gene targets for the entire TF gene families were predicted. In addition, the networks were built solely by a bioinformatics approach and experimental verifications will be necessary for their final validation. On the other hand, since our method highlights putative novel interactions, more directed experiments could now be performed.
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6.
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7.
  • Lindlöf, Angelica, et al. (författare)
  • Evaluation of combining several statistical methods with a flexible cutoff for identifying differentially expressed genes in pairwise comparison of EST sets
  • 2008
  • Ingår i: Bioinformatics and Biology Insights. - : Libertas Academica. - 1177-9322. ; 2, s. 215-237
  • Tidskriftsartikel (refereegranskat)abstract
    • The detection of differentially expressed genes from EST data is of importance for the discovery of potential biological or pharmaceutical targets, especially when studying biological processes in less characterized organisms and where large-scale microarrays are not an option. We present a comparison of five different statistical methods for identifying up-regulated genes through pairwise comparison of EST sets, where one of the sets is generated from a treatment and the other one serves as a control. In addition, we specifically address situations where the sets are relatively small (~2,000– 10,000 ESTs) and may differ in size. The methods were tested on both simulated and experimentally derived data, and compared to a collection of cold stress induced genes identified by microarrays. We found that combining the method pro- posed by Audic and Claverie with Fisher’s exact test and a method based on calculating the difference in relative frequency was the best combination for maximizing the detection of up-regulated genes. We also introduced the use of a flexible cutoff, which takes the size of the EST sets into consideration. This could be considered as an alternative to a static cutoff. Finally, the detected genes showed a low overlap with those identified by microarrays, which indicates, as in previous studies, low overall concordance between the two platforms.
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8.
  • Lindlöf, Angelica, et al. (författare)
  • Identification of Cold-Induced Genes in Cereal Crops and Arabidopsis Through Comparative Analysis of Multiple EST Sets
  • 2007
  • Ingår i: S. Hochreiter and R. Wagner (Eds.): BIRD, LNBI. - Berlin, Heidelberg : Springer. ; 4414, s. 48-65, s. 48-65
  • Tidskriftsartikel (refereegranskat)abstract
    • Freezing tolerance in plants is obtained during a period of low nonfreezing temperatures before the winter sets on, through a biological process known as cold acclimation. Cold is one of the major stress factors that limits the growth, productivity and distribution of plants, and understanding the mechanism of cold tolerance is therefore important for crop improvement. Expressed sequence tags (EST) analysis is a powerful, economical and timeefficient way of assembling information on the transcriptome. To date, several EST sets have been generated from cold-induced cDNA libraries from several different plant species. In this study we utilize the variation in the frequency of ESTs sampled from different cold-stressed plant libraries, in order to identify genes preferentially expressed in cold in comparison to a number of control sets. The species included in the comparative study are oat (Avena sativa), barley (Hordeum vulgare), wheat (Triticum aestivum), rice (Oryza sativa) and Arabidopsis thaliana. However, in order to get comparable gene expression estimates across multiple species and data sets, we choose to compare the expression of tentative ortholog groups (TOGs) instead of single genes, as in the normal procedure. We consider TOGs as preferentially expressed if they are detected as differentially expressed by a test statistic and up-regulated in comparison to all control sets, and/or uniquely expressed during cold stress, i.e., not present in any of the control sets. The result of this analysis revealed a diverse representation of genes in the different species. In addition, the derived TOGs mainly represent genes that are long-term highly or moderately expressed in response to cold and/or other stresses.
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9.
  • Lindlöf, Angelica, et al. (författare)
  • In silico analysis of promoter regions from cold-induced genes in rice (Oryza sativa L.) and Arabidopsis thaliana reveals the importance of combinatorial control
  • 2009
  • Ingår i: Bioinformatics. - : Oxford University Press (OUP). - 1367-4803 .- 1367-4811. ; 25:11, s. 1345-1348
  • Tidskriftsartikel (refereegranskat)abstract
    • Motivation: Cold acclimation involves a number of different cellular processes that together increase the freezing tolerance of an organism. The DREB1/CBFs are transcription factors (TFs) that are prominent in the regulation of cold responses in Arabidopsis thaliana, rice and many other crops. We investigated if the expression of DREB1/CBFs and co-expressed genes relies on combinatorial control by several TFs. Our results support this notion and indicate that methods for studying the regulation of complex cellular processes should include identification of combinations of motifs, in addition to searching for individual overrepresented binding sites.
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10.
  • Olsson, Björn, et al. (författare)
  • Automated text analysis of biomedical abstracts applied to the extraction of signaling pathways involved in plant cold-adaptation
  • 2006
  • Ingår i: Proceedings of the Fifth International Conference on Bioinformatics of Genome Regulation and Structure. - : Russian Academy of Sciences. - 5769208481 - 9785769208485 ; , s. 296-299
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • Motivation: Automated text analysis is an important tool for facilitating the extraction of knowledge from biomedical abstracts, thereby enabling researchers to build pathway models that integrate and summarize information from a large number of sources. Advanced methods of in-depth analysis of texts using grammar-based approaches developed within the field of computational linguistics must be adapted to the special requirements and challenges posed by biomedical texts, so that these methods can be made available to the bioinformatics and computational biology communities. Results: Our system for automated text analysis and extraction of pathway information is here applied to a set of PubMed abstracts concerning the CBF signaling pathway, which is a key pathway involved in the cold-adaptation response of plants subjected to cold non-freezing temperatures. The system successfully and accurately re-discovers the main features of this pathway, while also pointing to interesting and plausible new hypotheses. The evaluation also reveals a number of issues which will be important targets in the continued development of the system, e.g. the need for an extended lexicon of taxonomic terms and an improved procedure for recognition of sentence boundaries.
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