A cotton miRNA is involved in regulation of plant response to salt stress.

The present study functionally identified a new microRNA (microRNA ovual line 5, miRNVL5) with its target gene GhCHR from cotton (Gossypium hirsutum). The sequence of miRNVL5 precursor is 104 nt long, with a well developed secondary structure. GhCHR contains two DC1 and three PHD Cys/His-rich domains, suggesting that GhCHR encodes a zinc-finger domain-containing transcription factor.

Genome-wide identification of Medicago truncatula microRNAs and their targets reveals their differential regulation by heavy metal.

We adopted a deep sequencing approach developed by Solexa (Illumina Inc., San Diego, CA, USA) to investigate global expression and complexity of microRNAs (miRNAs) and their targets from Medicago truncatula. Two small RNA libraries and two degradome libraries were constructed from mercury (Hg)-treated and Hg-free M.

Transcriptome profiling of early developing cotton fiber by deep-sequencing reveals significantly differential expression of genes in a fuzzless/lintless mutant.

Cotton fiber as a single-celled trichome is a biological model system for studying cell differentiation and elongation. However, the complexity of its gene expression and regulatory mechanism allows only marginal progress. Here, we report the high-throughput tag-sequencing (Tag-seq) analysis using Solexa Genome Analyzer platform on transcriptome of -2 to 1 (fiber initiation, stage I) and 2-8 (fiber elongation, stage II) days post anthesis (DPA) cotton (Gossypium hirsutum) ovules (wild type: WT; Xuzhou 142 and its mutant: fuzzless/lintless or flM, in the same background).

Analysis of phosphorus-deficient responsive miRNAs and cis-elements from soybean (Glycine max L.).

Phosphorus is one of the major factors controlling plant growth and productivity. Although physiological and molecular processes of P deficiency have been intensively investigated, our current understanding of the coordinated regulation of phosphate-responsive genes and signal networks is limited. In the present study, we performed a microarray-based genome-wide transcriptional analysis of miRNAs from soybean (Glycine max L.