Insights into functional classification via gene co-expression networks in sunflower using public transcriptomic datasets
We present the first preliminary sunflower gene co-expression network using public transcriptome data in Helianthus annuus and show its utility in identifying and classifying uncharacterized genes involved in stress response. The locus HanXRQChr09g0248321 was identified and linked to several WRKY tr...
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| Autores principales: | , , , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/140689 http://50jaiio.sadio.org.ar/pdfs/cai/CAI-15.pdf |
| Aporte de: |
| id |
I19-R120-10915-140689 |
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| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas Gene Co-expression Networks RNAseq Functional Annotation Big Data Sunflower |
| spellingShingle |
Ciencias Informáticas Gene Co-expression Networks RNAseq Functional Annotation Big Data Sunflower Ribone, Andrés I. Gonzales, Sergio Paniego, Norma Lía, Verónica Rivarola, Máximo Insights into functional classification via gene co-expression networks in sunflower using public transcriptomic datasets |
| topic_facet |
Ciencias Informáticas Gene Co-expression Networks RNAseq Functional Annotation Big Data Sunflower |
| description |
We present the first preliminary sunflower gene co-expression network using public transcriptome data in Helianthus annuus and show its utility in identifying and classifying uncharacterized genes involved in stress response. The locus HanXRQChr09g0248321 was identified and linked to several WRKY transcription factors in an enriched “stressed-response” module.
Moreover, the homologue in Arabidopsis thaliana was shown to be differentially expressed in multiple “stress” conditions. We present our work and validate our methodology to existing knowledge and show its capability to identify/rank new candidates for crop breeding programs. Our future goal is to link genetic variation with gene networks to understand phenotypic variability in sunflower stress responses. |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
Ribone, Andrés I. Gonzales, Sergio Paniego, Norma Lía, Verónica Rivarola, Máximo |
| author_facet |
Ribone, Andrés I. Gonzales, Sergio Paniego, Norma Lía, Verónica Rivarola, Máximo |
| author_sort |
Ribone, Andrés I. |
| title |
Insights into functional classification via gene co-expression networks in sunflower using public transcriptomic datasets |
| title_short |
Insights into functional classification via gene co-expression networks in sunflower using public transcriptomic datasets |
| title_full |
Insights into functional classification via gene co-expression networks in sunflower using public transcriptomic datasets |
| title_fullStr |
Insights into functional classification via gene co-expression networks in sunflower using public transcriptomic datasets |
| title_full_unstemmed |
Insights into functional classification via gene co-expression networks in sunflower using public transcriptomic datasets |
| title_sort |
insights into functional classification via gene co-expression networks in sunflower using public transcriptomic datasets |
| publishDate |
2021 |
| url |
http://sedici.unlp.edu.ar/handle/10915/140689 http://50jaiio.sadio.org.ar/pdfs/cai/CAI-15.pdf |
| work_keys_str_mv |
AT riboneandresi insightsintofunctionalclassificationviagenecoexpressionnetworksinsunflowerusingpublictranscriptomicdatasets AT gonzalessergio insightsintofunctionalclassificationviagenecoexpressionnetworksinsunflowerusingpublictranscriptomicdatasets AT paniegonorma insightsintofunctionalclassificationviagenecoexpressionnetworksinsunflowerusingpublictranscriptomicdatasets AT liaveronica insightsintofunctionalclassificationviagenecoexpressionnetworksinsunflowerusingpublictranscriptomicdatasets AT rivarolamaximo insightsintofunctionalclassificationviagenecoexpressionnetworksinsunflowerusingpublictranscriptomicdatasets |
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Repositorios |
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