The trans‐kingdom communication of noncoding RNAs in plant–environment interactions

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Abstract

As conserved regulatory agents, noncoding RNAs (ncRNAs) have an important impact on many aspects of plant life, including growth, development, and environmental response. Noncoding RNAs can travel through not only plasmodesma and phloem but also intercellular barriers to regulate distinct processes. Increasing evidence shows that the intercellular trans-kingdom transmission of ncRNAs is able to modulate many important interactions between plants and other organisms, such as plant response to pathogen attack, the symbiosis between legume plants and rhizobia and the interactions with parasitic plants. In these interactions, plant ncRNAs are believed to be sorted into extracellular vesicles (EVs) or other nonvesicular vehicles to pass through cell barriers and trigger trans-kingdom RNA interference (RNAi) in recipient cells from different species. There is evidence that the features of extracellular RNAs and associated RNA-binding proteins (RBPs) play a role in defining the RNAs to retain in cell or secrete outside cells. Despite the few reports about RNA secretion pathway in plants, the export of extracellular ncRNAs is orchestrated by a series of pathways in plants. The identification and functional analysis of mobile small RNAs (sRNAs) are attracting increasing attention in recent years. In this review, we discuss recent advances in our understanding of the function, sorting, transport, and regulation of plant extracellular ncRNAs.

Susceptibility of UK oat (Avena sativa) varieties to infection by Fusarium species and subsequent HT‐2 and T‐2 toxin contamination

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Abstract

The aim of this study was to compare the susceptibility of oats to Fusarium langsethiae infection, as measured by combined HT-2 and T-2 mycotoxin concentration (HT2 + T2) in harvested oat grain samples. Over 10 years (2004–2013), samples from single replicates of each UK Recommended List oat trial were analyzed for HT-2 and T-2. For spring oats, there were small but statistically significant differences between varieties, whereas for winter oats, they had a broader range and higher mean of HT2 + T2 concentration compared with spring oats. For winter oats, the short-strawed varieties had consistently high HT2 + T2 levels compared with other varieties, whereas naked varieties were at the lower end of the range, and short, naked varieties had intermediate levels. A separate set of harvested oat grain samples of eight common varieties from 17 field experiments were analyzed by modified joint regression analysis. Results showed that environment had the strongest impact on HT-2 and T-2 concentrations but that the varietal susceptibility to HT-2 and T-2 contamination was highly stable across environments. This methodology can be used to calculate a Fusarium (HT2 + T2) resistance score for oats to aid grower selection of suitable varieties, as is available for Fusarium (DON) resistance for wheat varieties in many countries.

Insights into the roles of long noncoding RNAs in the communication between plants and the environment

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Abstract

In addition to coding proteins, RNA molecules, especially long noncoding RNAs (lncRNAs), have well-established functions in regulating gene expression. The number of studies focused on the roles played by different types of lncRNAs in a variety of plant biological processes has markedly increased. These lncRNA roles involve plant vegetative and reproductive growth and responses to biotic and abiotic stresses. In this review, we examine the classification, mechanisms, and functions of lncRNAs and then emphasize the roles played by these lncRNAs in the communication between plants and the environment mainly with respect to the following environmental factors: temperature, light, water, salt stress, and nutrient deficiencies. We also discuss the consensus among researchers and the remaining challenges and underscore the exciting ways lncRNAs may affect the biology of plants.

Leveraging prior biological knowledge improves prediction of tocochromanols in maize grain

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Abstract

With an essential role in human health, tocochromanols are mostly obtained by consuming seed oils; however, the vitamin E content of the most abundant tocochromanols in maize (Zea mays L.) grain is low. Several large-effect genes with cis-acting variants affecting messenger RNA (mRNA) expression are mostly responsible for tocochromanol variation in maize grain, with other relevant associated quantitative trait loci (QTL) yet to be fully resolved. Leveraging existing genomic and transcriptomic information for maize inbreds could improve prediction when selecting for higher vitamin E content. Here, we first evaluated a multikernel genomic best linear unbiased prediction (MK-GBLUP) approach for modeling known QTL in the prediction of nine tocochromanol grain phenotypes (12–21 QTL per trait) within and between two panels of 1,462 and 242 maize inbred lines. On average, MK-GBLUP models improved predictive abilities by 7.0–13.6% when compared with GBLUP. In a second approach with a subset of 545 lines from the larger panel, the highest average improvement in predictive ability relative to GBLUP was achieved with a multi-trait GBLUP model (15.4%) that had a tocochromanol phenotype and transcript abundances in developing grain for a few large-effect candidate causal genes (1–3 genes per trait) as multiple response variables. Taken together, our study illustrates the enhancement of prediction models when informed by existing biological knowledge pertaining to QTL and candidate causal genes.

Long noncoding RNA transcriptome analysis reveals novel lncRNAs in Morus alba ‘Yu‐711’ response to drought stress

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Abstract

Drought stress has been a key environmental factor affecting plant growth and development. The plant genome is capable of producing long noncoding RNAs (lncRNAs). To better understand white mulberry (Morus alba L.) drought response mechanism, we conducted a comparative transcriptome study comparing two treatments: drought-stressed (EG) and well-watered (CK) plants. A total of 674 differentially expressed lncRNAs (DElncRNAs) were identified. In addition, 782 differentially expressed messenger RNAs (DEmRNAs) were identified. We conducted Gene Ontology (GO) and KEGG enrichment analyses focusing on the differential lncRNAs cis-target genes. The target genes of the DElncRNAs were most significantly involved in the biosynthesis of secondary metabolites. Gene regulatory networks of the target genes involving DElncRNAs–mRNAs–DEmRNAs and DElncRNA–miRNA–DEmRNA were constructed. In the DElncRNAs–DEmRNAs network, 30 DEmRNAs involved in the biosynthesis of secondary metabolites are collocated with 46 DElncRNAs. The interaction between DElncRNAs and candidate genes was identified using LncTar. In summary, quantitative real-time polymerase chain reaction (qRT-PCR) validated nine candidate genes and seven target lncRNAs including those identified by LncTar. We predicted that the DElncRNAs–DEmRNAs might recruit microRNAs (miRNAs) to interact with gene regulatory networks under the drought stress response in mulberry. The findings will contribute to our understanding of the regulatory functions of lncRNAs under drought stress and will shed new light on the mulberry–drought stress interactions.

Genome‐wide identification of R2R3‐MYB family genes and gene response to stress in ginger

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Abstract

Ginger (Zingiber officinale Roscoe) is an important plant used worldwide for medicine and food. The R2R3-MYB transcription factor (TF) family has essential roles in plant growth, development, and stresses resistance, and the number of genes in the family varies greatly among different types of plants. However, genome-wide discovery of ZoMYBs and gene responses to stresses have not been reported in ginger. Therefore, genome-wide analysis of R2R3-MYB genes in ginger was conducted in this study. Protein phylogenetic relations and conserved motifs and chromosome localization and duplication, structure, and cis-regulatory elements were analyzed. In addition, the expression patterns of selected genes were analyzed under two different stresses. A total of 299 candidate ZoMYB genes were discovered in ginger. Based on groupings of R2R3-MYB genes in the model plant Arabidopsis thaliana (L.) Heynh., ZoMYBs were divided into eight groups. Genes were distributed across 22 chromosomes at uneven densities. In gene duplication analysis, 120 segmental duplications were identified in the ginger genome. Gene expression patterns of 10 ZoMYBs in leaves of ginger under abscisic acid (ABA) and low-temperature stress treatments were different. The results will help to determine the exact roles of ZoMYBs in anti-stress responses in ginger.