Metatranscriptomic analysis of small RNAs present in soybean deep sequencing libraries

نویسندگان

  • Lorrayne Gomes Molina
  • Guilherme Cordenonsi da Fonseca
  • Guilherme Loss de Morais
  • Luiz Felipe Valter de Oliveira
  • Joseane Biso de Carvalho
  • Franceli Rodrigues Kulcheski
  • Rogerio Margis
چکیده

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.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Computational analysis of small RNA cloning data.

Cloning and sequencing is the method of choice for small regulatory RNA identification. Using deep sequencing technologies one can now obtain up to a billion nucleotides--and tens of millions of small RNAs--from a single library. Careful computational analyses of such libraries enabled the discovery of miRNAs, rasiRNAs, piRNAs, and 21U RNAs. Given the large number of sequences that can be obtai...

متن کامل

Identification of soybean circular RNAs in response to low nitrogen and phosphorus stress

Soybean, one of the most important sources of edible oil and protein in the world, is exposed to various environmental biotic and abiotic stresses. These stresses can negatively impact the quality and quantity of soybean production. This study aimed to identify genes that express circular RNAs in response to low phosphorus and nitrogen stresses in soybean roots. Soybean seeds were grown under d...

متن کامل

Identification of Soybean MicroRNAs Involved in Soybean Cyst Nematode Infection by Deep Sequencing

Soybean cyst nematode (SCN), Heterodera glycines, is the most devastating pathogen of soybean worldwide. MicroRNAs (miRNAs) are a class of small, non-coding RNAs that are known to play important role in plant stress response. However, there are few reports profiling the miRNA expression patterns during pathogen stress. We sequenced four small RNA libraries from two soybean cultivar (Hairbin xia...

متن کامل

Construction of small RNA cDNA libraries for deep sequencing.

Small RNAs (21-24 nucleotides) including microRNAs (miRNAs) and small interfering RNAs (siRNAs) are potent regulators of gene expression in both plants and animals. Several hundred genes encoding miRNAs and thousands of siRNAs have been experimentally identified by cloning approaches. New sequencing technologies facilitate the identification of these molecules and provide global quantitative ex...

متن کامل

deepBase: a database for deeply annotating and mining deep sequencing data

Advances in high-throughput next-generation sequencing technology have reshaped the transcriptomic research landscape. However, exploration of these massive data remains a daunting challenge. In this study, we describe a novel database, deepBase, which we have developed to facilitate the comprehensive annotation and discovery of small RNAs from transcriptomic data. The current release of deepBa...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 35  شماره 

صفحات  -

تاریخ انتشار 2012