Cargando…

SoyNet: a database of co-functional networks for soybean Glycine max

Soybean (Glycine max) is a legume crop with substantial economic value, providing a source of oil and protein for humans and livestock. More than 50% of edible oils consumed globally are derived from this crop. Soybean plants are also important for soil fertility, as they fix atmospheric nitrogen by...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Eiru, Hwang, Sohyun, Lee, Insuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210602/
https://www.ncbi.nlm.nih.gov/pubmed/27492285
http://dx.doi.org/10.1093/nar/gkw704
_version_ 1782490917268094976
author Kim, Eiru
Hwang, Sohyun
Lee, Insuk
author_facet Kim, Eiru
Hwang, Sohyun
Lee, Insuk
author_sort Kim, Eiru
collection PubMed
description Soybean (Glycine max) is a legume crop with substantial economic value, providing a source of oil and protein for humans and livestock. More than 50% of edible oils consumed globally are derived from this crop. Soybean plants are also important for soil fertility, as they fix atmospheric nitrogen by symbiosis with microorganisms. The latest soybean genome annotation (version 2.0) lists 56 044 coding genes, yet their functional contributions to crop traits remain mostly unknown. Co-functional networks have proven useful for identifying genes that are involved in a particular pathway or phenotype with various network algorithms. Here, we present SoyNet (available at www.inetbio.org/soynet), a database of co-functional networks for G. max and a companion web server for network-based functional predictions. SoyNet maps 1 940 284 co-functional links between 40 812 soybean genes (72.8% of the coding genome), which were inferred from 21 distinct types of genomics data including 734 microarrays and 290 RNA-seq samples from soybean. SoyNet provides a new route to functional investigation of the soybean genome, elucidating genes and pathways of agricultural importance.
format Online
Article
Text
id pubmed-5210602
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-52106022017-01-05 SoyNet: a database of co-functional networks for soybean Glycine max Kim, Eiru Hwang, Sohyun Lee, Insuk Nucleic Acids Res Database Issue Soybean (Glycine max) is a legume crop with substantial economic value, providing a source of oil and protein for humans and livestock. More than 50% of edible oils consumed globally are derived from this crop. Soybean plants are also important for soil fertility, as they fix atmospheric nitrogen by symbiosis with microorganisms. The latest soybean genome annotation (version 2.0) lists 56 044 coding genes, yet their functional contributions to crop traits remain mostly unknown. Co-functional networks have proven useful for identifying genes that are involved in a particular pathway or phenotype with various network algorithms. Here, we present SoyNet (available at www.inetbio.org/soynet), a database of co-functional networks for G. max and a companion web server for network-based functional predictions. SoyNet maps 1 940 284 co-functional links between 40 812 soybean genes (72.8% of the coding genome), which were inferred from 21 distinct types of genomics data including 734 microarrays and 290 RNA-seq samples from soybean. SoyNet provides a new route to functional investigation of the soybean genome, elucidating genes and pathways of agricultural importance. Oxford University Press 2017-01-04 2016-08-04 /pmc/articles/PMC5210602/ /pubmed/27492285 http://dx.doi.org/10.1093/nar/gkw704 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Kim, Eiru
Hwang, Sohyun
Lee, Insuk
SoyNet: a database of co-functional networks for soybean Glycine max
title SoyNet: a database of co-functional networks for soybean Glycine max
title_full SoyNet: a database of co-functional networks for soybean Glycine max
title_fullStr SoyNet: a database of co-functional networks for soybean Glycine max
title_full_unstemmed SoyNet: a database of co-functional networks for soybean Glycine max
title_short SoyNet: a database of co-functional networks for soybean Glycine max
title_sort soynet: a database of co-functional networks for soybean glycine max
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210602/
https://www.ncbi.nlm.nih.gov/pubmed/27492285
http://dx.doi.org/10.1093/nar/gkw704
work_keys_str_mv AT kimeiru soynetadatabaseofcofunctionalnetworksforsoybeanglycinemax
AT hwangsohyun soynetadatabaseofcofunctionalnetworksforsoybeanglycinemax
AT leeinsuk soynetadatabaseofcofunctionalnetworksforsoybeanglycinemax