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In natural environments, interaction between plant roots and microorganisms are common. These interactions between microbial species and plants inhabited by them are being studied using various techniques. Metabolomics research based on mass spectrometric techniques is one of the crucial approaches that underpins system biology and relies on precision instrument analysis. In the last decade, this emerging field has received extensive attention. It provides a qualitative and quantitative approach for determining the mechanisms of symbiosis of bacteria and fungi with plants and also helps to elucidate the tolerance mechanisms of host plants against various abiotic stresses. However, this -omics application and its tools in plant-microbe interaction studies is still underutilized compared with genomic and transcriptomic methods. Therefore, it is crucial to bring this field forward to bear on the study of plant resistance and susceptibility. This review describes the current status of methods and progress in metabolomics applications for plant-microbe interaction studies discussing current challenges and future prospects.

The potential of plant growth promoting (PGP) bacteria in improving the performance of plants in suboptimal environments is increasingly acknowledged, but little information is available on the mechanisms underlying this interaction, particularly when plants are subjected to a combination of stresses. In this study, we investigated the effects of the inoculation with the PGP bacteria Azospirillum brasilense (Azospirillum) on the metabolism of the model cereal Brachypodium distachyon (Brachypodium) grown at low temperatures and supplied with insufficient phosphorus. Investigating polar metabolite and lipid fluctuations during early plant development, we found that the bacteria initially elicited a defense response in Brachypodium roots, while at later stages Azospirillum reduced the stress caused by phosphorus deficiency and improved root development of inoculated plants, particularly by stimulating the growth of branch roots. We propose that the interaction of the plant with Azospirillum was influenced by its nutritional status: bacteria were sensed as pathogens while plants were still phosphorus sufficient, but the interaction became increasingly beneficial for the plants as their phosphorus levels decreased. Our results provide new insights on the dynamics of the cereal-PGP bacteria interaction, and contribute to our understanding of the role of beneficial microorganisms in the growth of cereal crops in suboptimal environments.

A non-invasive plant phenotyping platform, GrowScreen-PaGe, was used to resolve the dynamics of shoot and root growth of the model cereal Brachypodium (Brachypodium distachyon Bd21-3) in response to the plant growth promoting (PGP) bacteria Azospirillum (Azospirillum brasilense Sp245). Inoculated Brachypodium plants had greater early vigor and higher P use efficiency than non-inoculated Brachypodium at low P and low temperature conditions. Root systems were imaged non-invasively at eight time points and data combined with leaf area, shoot biomass and nutrient content from destructive subsamples at 7, 14 and 21 days after inoculation (DAI). Azospirillum colonisation of roots improved Brachypodium shoot and, to a greater degree, root growth in three independent experiments. Inoculation promoted P use efficiency in shoots but not P concentration or uptake, despite increased total root length. Longer roots in inoculated plants arose from twofold faster branch root growth but slower axile root growth, detected at 11 DAI. Analysis of the spatio-temporal phenotypes indicated that the effects of Azospirillum inoculation increased as shoot P concentration declined, but the magnitude depended on the time after inoculation and growth rate of branch roots compared to axile roots. High throughput plant phenotyping platforms allow the details of plant-microorganism symbioses to be resolved, offering insights into the timing of changes in different tissues to allow molecular mechanisms to be determined.

Salinization of soil with sodium chloride ions inhibits plant functions, causing reduction of yield of crops. Salt tolerant microorganisms have been studied to enhance crop growth under salinity. This review describes the performance of endophytic fungi applied to crops as a supplement to plant genetics or soil management to alleviate salt stress in crops. This is achieved via inducing systemic resistance, increasing the levels of beneficial metabolites, activating antioxidant systems to scavenge ROS, and modulating plant growth phytohormones. Colonization by endophytic fungi improves nutrient uptake and maintains ionic homeostasis by modulating ion accumulation, thereby restricting the transport of Na+ to leaves and ensuring a low cytosolic Na+:K+ ratio in plants. Participating endophytic fungi enhance transcripts of genes encoding the high Affinity Potassium Transporter 1 (HKT1) and the inward-rectifying K+ channels KAT1 and KAT2, which play key roles in regulating Na+ and K+ homeostasis. Endophytic-induced interplay of strigolactones play regulatory roles in salt tolerance by interacting with phytohormones. Future research requires further attention on the biochemical, molecular and genetic mechanisms crucial for salt stress resistance requires further attention for future research. Furthermore, to design strategies for sustained plant health with endophytic fungi, a new wave of exploration of plant-endophyte responses to combinations of stresses is mandatory.

A search for neutrino oscillations of the type nu_bar_mu to nu_bar_e has been conducted at the Los Alamos Meson Physics Facility using nu_bar_mu from muon decay at rest. Evidence for this transition has been reported previously. This paper discusses in detail the experimental setup, detector operation and neutrino source, including aspects relevant to oscillation searches in the muon decay-at-rest and pion decay in flight channels., Comment: 27 pages, 26 figures, revtex and psfig, additional information available at http://nu1.lampf.lanl.gov/~lsnd

A search for neutrino oscillations of the type nu_bar_mu to nu_bar_e has been conducted at the Los Alamos Meson Physics Facility using nu_bar_mu from muon decay at rest. Evidence for this transition has been reported previously. This paper discusses in detail the experimental setup, detector operation and neutrino source, including aspects relevant to oscillation searches in the muon decay-at-rest and pion decay in flight channels., Comment: 27 pages, 26 figures, revtex and psfig, additional information available at http://nu1.lampf.lanl.gov/~lsnd

A search for $\nuebar$'s in excess of the number expected from conventional sources has been made using the Liquid Scintillator Neutrino Detector, located 30 m from a proton beam dump at LAMPF. A $\nuebar$ signal was detected via the reaction $\nuebar\,p \rightarrow e^{+}\,n$ with $e^+$ energy between 36 and $60\mev$, followed by a $\gamma$ from $np\rightarrow d\gamma$ ($2.2\mev$). Using strict cuts to identify $\gamma$'s correlated with positrons results in a signal of 9 events, with an expected background of $2.1 \pm 0.3$. A likelihood fit to the entire $e^+$ sample yields a total excess of $16.4^{+9.7}_{-8.9}\pm 3.3$ events, where the second uncertainty is systematic. If this excess is attributed to neutrino oscillations of the type $\numubar\rightarrow\nuebar$, it corresponds to an oscillation probability of ($0.34^{+0.20}_{-0.18}\pm 0.07$)\%., Comment: 3 PS figures; corrected TeX file (April 21, 1995)

A search for $\nuebar$'s in excess of the number expected from conventional sources has been made using the Liquid Scintillator Neutrino Detector, located 30 m from a proton beam dump at LAMPF. A $\nuebar$ signal was detected via the reaction $\nuebar\,p \rightarrow e^{+}\,n$ with $e^+$ energy between 36 and $60\mev$, followed by a $\gamma$ from $np\rightarrow d\gamma$ ($2.2\mev$). Using strict cuts to identify $\gamma$'s correlated with positrons results in a signal of 9 events, with an expected background of $2.1 \pm 0.3$. A likelihood fit to the entire $e^+$ sample yields a total excess of $16.4^{+9.7}_{-8.9}\pm 3.3$ events, where the second uncertainty is systematic. If this excess is attributed to neutrino oscillations of the type $\numubar\rightarrow\nuebar$, it corresponds to an oscillation probability of ($0.34^{+0.20}_{-0.18}\pm 0.07$)\%., Comment: 3 PS figures; corrected TeX file (April 21, 1995)

© 2017 by The University of New Mexico. All rights reserved. This paper employs a quantitative analysis of lexical data to generate a tree describing the historical relationships among Iroquoian languages. An alternative to glottochronology is used to estimate the timing of branching events within the tree. We estimate the homeland of the language family using lexical and geographic distance measures and then compare this estimate with homeland determinations in the literature. Our results suggest that Proto-Iroquoian dates to around 2624 bc, and that the Finge r Lakes region of west-central New York is the most likely homeland. The results also revealed a strong relationship between linguistic dissimilarity and geographic distance, likely reflecting the isolating effects of spatial separation on the magnitude of linguistic exchange. The timing of language divergences seems to coincide with important events observable in the archaeological record, including the first evidence for the use of corn in New York and Ontario. The development of important Iroquoian cultural attributes such as the longhouse, matrilocal residence, and the intensification of agriculture all coincide with a period which saw most of the internal language divergences.

© 2017 by The University of New Mexico. All rights reserved. This paper employs a quantitative analysis of lexical data to generate a tree describing the historical relationships among Iroquoian languages. An alternative to glottochronology is used to estimate the timing of branching events within the tree. We estimate the homeland of the language family using lexical and geographic distance measures and then compare this estimate with homeland determinations in the literature. Our results suggest that Proto-Iroquoian dates to around 2624 bc, and that the Finge r Lakes region of west-central New York is the most likely homeland. The results also revealed a strong relationship between linguistic dissimilarity and geographic distance, likely reflecting the isolating effects of spatial separation on the magnitude of linguistic exchange. The timing of language divergences seems to coincide with important events observable in the archaeological record, including the first evidence for the use of corn in New York and Ontario. The development of important Iroquoian cultural attributes such as the longhouse, matrilocal residence, and the intensification of agriculture all coincide with a period which saw most of the internal language divergences.