ArticleGenetics and molecular biology2012
Metatranscriptomic analysis of small RNAs present in soybean deep sequencing libraries.
Article in Genetics and molecular biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Amelioration in traditional farming system by exploring the different plant growth-promoting attributes of endophytes for sustainable agriculture.Archives of microbiology · 2022Review
- Review
- Microbial Community Dynamics and Response to Plant Growth-Promoting Microorganisms in the Rhizosphere of Four Common Food Crops Cultivated in Hydroponics.Microbial ecology · 2017Article
- Bacterial pathogenesis of plants: future challenges from a microbial perspective: Challenges in Bacterial Molecular Plant Pathology.Molecular plant pathology · 2016Review
- "Omics" Tools for Better Understanding the Plant-Endophyte Interactions.Frontiers in plant science · 2016Review
- Article
- A web-based bioinformatics interface applied to the GENOSOJA Project: Databases and pipelines.Genetics and molecular biology · 2012Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A large number of small RNAs unrelated to the soybean genome were identified after deep sequencing of soybean small RNA libraries. A metatranscriptomic analysis was carried out to identify the origin of these sequences. Comparative analyses of small interference RNAs (siRNAs) present in samples collected in open areas corresponding to soybean field plantations and samples from soybean cultivated in greenhouses under a controlled environment were made. Different pathogenic, symbiotic and free-living organisms were identified from samples of both growth systems. They included viruses, bacteria and different groups of fungi. This approach can be useful not only to identify potentially unknown pathogens and pests, but also to understand the relations that soybean plants establish with microorganisms that may affect, directly or indirectly, plant health and crop production.
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