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An Atlas of Soybean Small RNAs Identifies Phased siRNAs from Hundreds of Coding Genes
Author(s) -
Siwaret Arikit,
Rui Xia,
Atul Kakrana,
Kun Huang,
Jixian Zhai,
Zhe Yan,
Oswaldo ValdésLópez,
Silvas Prince,
Theresa A. Musket,
Henry T. Nguyen,
Gary Stacey,
Blake C. Meyers
Publication year - 2014
Publication title -
the plant cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.324
H-Index - 341
eISSN - 1532-298X
pISSN - 1040-4651
DOI - 10.1105/tpc.114.131847
Subject(s) - mirbase , biology , microrna , genetics , gene , small rna , rna interference , drosha , small nucleolar rna , gene silencing , small interfering rna , rna , non coding rna , transposable element , computational biology , genome
Small RNAs are ubiquitous, versatile repressors and include (1) microRNAs (miRNAs), processed from mRNA forming stem-loops; and (2) small interfering RNAs (siRNAs), the latter derived in plants by a process typically requiring an RNA-dependent RNA polymerase. We constructed and analyzed an expression atlas of soybean (Glycine max) small RNAs, identifying over 500 loci generating 21-nucleotide phased siRNAs (phasiRNAs; from PHAS loci), of which 483 overlapped annotated protein-coding genes. Via the integration of miRNAs with parallel analysis of RNA end (PARE) data, 20 miRNA triggers of 127 PHAS loci were detected. The primary class of PHAS loci (208 or 41% of the total) corresponded to NB-LRR genes; some of these small RNAs preferentially accumulate in nodules. Among the PHAS loci, novel representatives of TAS3 and noncanonical phasing patterns were also observed. A noncoding PHAS locus, triggered by miR4392, accumulated preferentially in anthers; the phasiRNAs are predicted to target transposable elements, with their peak abundance during soybean reproductive development. Thus, phasiRNAs show tremendous diversity in dicots. We identified novel miRNAs and assessed the veracity of soybean miRNAs registered in miRBase, substantially improving the soybean miRNA annotation, facilitating an improvement of miRBase annotations and identifying at high stringency novel miRNAs and their targets.

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