Dataset Information

Short tandem target mimic rice lines uncover functions of miRNAs in regulating important agronomic traits.

ABSTRACT: Improvements in plant agricultural productivity are urgently needed to reduce the dependency on limited natural resources and produce enough food for a growing world population. Human intervention over thousands of years has improved the yield of important crops; however, it is increasingly difficult to find new targets for genetic improvement. MicroRNAs (miRNAs) are promising targets for crop improvement, but their inactivation is technically challenging and has hampered functional analyses. We have produced a large collection of transgenic short tandem target mimic (STTM) lines silencing 35 miRNA families in rice as a resource for functional studies and crop improvement. Visual assessment of field-grown miRNA-silenced lines uncovered alterations in many valuable agronomic traits, including plant height, tiller number, and grain number, that remained stable for up to five generations. We show that manipulation of miR398 can increase panicle length, grain number, and grain size in rice. In addition, we discovered additional agronomic functions for several known miRNAs, including miR172 and miR156. Our collection of STTM lines thus represents a valuable resource for functional analysis of rice miRNAs, as well as for agronomic improvement that can be readily transferred to other important food crops.

SUBMITTER: Zhang H

PROVIDER: S-EPMC5441788 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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Short tandem target mimic rice lines uncover functions of miRNAs in regulating important agronomic traits.

Zhang Hui H Zhang Jinshan J Yan Jun J Gou Feng F Mao Yanfei Y Tang Guiliang G Botella José Ramón JR Zhu Jian-Kang JK

Proceedings of the National Academy of Sciences of the United States of America 20170501 20

Improvements in plant agricultural productivity are urgently needed to reduce the dependency on limited natural resources and produce enough food for a growing world population. Human intervention over thousands of years has improved the yield of important crops; however, it is increasingly difficult to find new targets for genetic improvement. MicroRNAs (miRNAs) are promising targets for crop improvement, but their inactivation is technically challenging and has hampered functional analyses. We ...[more]

PMID: 28461499

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Project description:Co-expression network analyses provide insights into the molecular interactions underlying complex traits and diseases. In this study, co-expression network analysis was performed to detect expression patterns (modules or clusters) of microRNAs (miRNAs) during lactation, and to identify miRNA regulatory mechanisms for milk yield and component traits (fat, protein, somatic cell count (SCC), lactose, and milk urea nitrogen (MUN)) via miRNA target gene enrichment analysis. miRNA expression (713 miRNAs), and milk yield and components (Fat%, Protein%, lactose, SCC, MUN) data of nine cows at each of six different time points (day 30 (D30), D70, D130, D170, D230 and D290) of an entire lactation curve were used. Four modules or clusters (GREEN, BLUE, RED and TURQUOISE) of miRNAs were identified as important for milk yield and component traits. The GREEN and BLUE modules were significantly correlated (|r| > 0.5) with milk yield and lactose, respectively. The RED and TURQUOISE modules were significantly correlated (|r| > 0.5) with both SCC and lactose. In the GREEN module, three abundantly expressed miRNAs (miR-148a, miR-186 and miR-200a) were most significantly correlated to milk yield, and are probably the most important miRNAs for this trait. DDR1 and DDHX1 are hub genes for miRNA regulatory networks controlling milk yield, while HHEX is an important transcription regulator for these networks. miR-18a, miR-221/222 cluster, and transcription factors HOXA7, and NOTCH 3 and 4, are important for the regulation of lactose. miR-142, miR-146a, and miR-EIA17-14144 (a novel miRNA), and transcription factors in the SMAD family and MYB, are important for the regulation of SCC. Important signaling pathways enriched for target genes of miRNAs of significant modules, included protein kinase A and PTEN signaling for milk yield, eNOS and Noth signaling for lactose, and TGF ?, HIPPO, Wnt/?-catenin and cell cycle signaling for SCC. Relevant enriched gene ontology (GO)-terms related to milk and mammary gland traits included cell differentiation, G-protein coupled receptor activity, and intracellular signaling transduction. Overall, this study uncovered regulatory networks in which miRNAs interacted with each other to regulate lactation traits.

Dataset Information

Short tandem target mimic rice lines uncover functions of miRNAs in regulating important agronomic traits.

Publications

Short tandem target mimic rice lines uncover functions of miRNAs in regulating important agronomic traits.

Similar Datasets

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