Price, Adam H.

Journal of Experimental Botany

English

PubMed

Aberdeen University Research

This paper is available online free of all access charges (see http://jxb.oxfordjournals.org/open_access.html for further details)PrefacePlant roots: new challenges in a changing worldAs research on roots intensifies due to the growing realization that a better understanding of their function and genetics offers important strategies for tackling the global challenge set by increased population, climate change, and food security, it is important to present new developments in the area. This special issue features articles offered by contributors to a session on that subject at the Society of Experimental Biology Annual Meeting in Prague in 2015 which was sponsored by European Union project called EURoot (www.EURoot.eu).The review by Berg et al. (2016) reviews current knowledge on the role of  microorganisms in the phyllosphere (above ground), rhizosphere (soil close to roots), and endosphere (inside the plant) in plant growth, development, and function and highlights the need to consider metaorganisms which are co-evolved assemblages of  plant and microbes working together. The work argues for a change in consideration of  what a plant is and highlights the diversity of  the microorgan-isms involved, the transmission between plants, the importance of  endophytes, and several unexpected functions and meta-bolic outcomes of  the biological interactions of  the metaorganism.The first survey of the drought response of roots at the transcriptome level was the subject of a review by Janiak et al. (2016). Since it is the root that initially experiences and signals drought to the plant, this is a valuable collation of literature which highlights the important role of several classes of transcription factors, the downstream targets, and the interplay with hormones and other signalling molecules. A related review by Shabala et al. (2016) focuses on the role of membrane transport-ers in the sensing and response to soil-based plant stresses first experienced by the root—those of drought, salinity, and flood-ing, emphasizing specific genes with promise for conferring tolerance. It highlights the importance of maintaining membrane potential and ATP production during stress and the role of reactive oxygen species and cytosolic Ca2+ and K+ in signalling responses while also detailing the role of ion transporters in the response to these stresses.Current root research has placed a lot of effort into improving phenotyping that is either more accurate, more high through-put or more relevant. Addressing these issues, Wasson et al. (2016) provide details of a new portable fluorescence spectroscopy imaging system that can be used in the phenotyping of roots that improves accuracy and speed and reduces costs. Importantly, this is applied to a crop (wheat) grown in the field which is the most relevant environment in which to phenotype roots, but where root research is rarely conducted due to the high variation and high labour requirements.Another major thrust of root research is the development and improvement of models that can aid in the characteriza-tion of plant form and function and help produce better target traits for specific crop improvements. Kalogiros et al. (2016) describes a density-based model of root growth that can back-calculate root parameters based on images taken at one time point. The authors show that the model predicts root traits with high accuracy in a diverse panel of Brasica rapa, and sug-gest that the model will be useful in identifying genotypes with efficient root systems in phenotyping screens even if  they have incomplete image data. Concentrating more on root function, a model of nutrient uptake by root hairs is presented by Daly et al. (2016). Using data from X-ray Computed Tomography the authors model the distance into the bulk soil that is required for root hairs to be ineffective (and hence for root hair distribution to be irrelevant) and find that, for relatively immobile nutrients like phosphorus, it is less for saturated soil (1.1 mm) than partially saturated soil (1.4 mm).Two further papers consider the role of root hairs. Bengough et al. (2016) used time-lapse photography of a root hairless mutant of maize and its wild type to calculate the anchorage force afforded by root hairs. It provides an insight into the role of root hairs in anchoring roots and shows the considerable advantage they provide in allowing penetration of weak and medium penetration-resistance soils, but not hard soils. Using a root hairless barley mutant and its wild type, Kwasniewski et al. (2016) investigated the role of the root hair in the signalling of drought stress. They used a transcriptomics approach. The results suggest that, while the mutant showed most of the typical responses to drought, they appear to have less of the responses associated with root to shoot stress signalling, suggesting a role for root hairs in drought perception and/or signalling.© The Author 2016. Published by Oxford University Press on behalf of the Society for Experimental Biology.  This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/),  which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.Journal of Experimental Botany, Vol. 67, No. 4 pp. 991–993, 2016doi:10.1093/jxb/erw027  at University of Aberdeen on January 11, 2017http://jxb.oxfordjournals.org/Downloaded from CORE Metadata, citation and similar papers at core.ac.ukProvided by Aberdeen University Research ArchiveThe pattern of gene expression in different tissues of the root was investigated by Optiz et al. (2016). These authors split the maize root into four different sections, being the tip, the elongation zone, and then the cortex and stele of the mature zone. The transcriptomic responses to PEG-induced drought were different in these sections, highlighting their different roles and reactions for sensing, signalling, and responding to drought. Another article details the effect of drought on gene regulation, but this time on the methylation status of genes. Chwialkowska et al. (2016) assessed the methylome of the leaves and roots of barley seedlings exposed to drought and after recovery using Methylation Sensitive Amplification Polymorphism Sequencing. The results showed evidence of methylation and demethylation in response to drought which was balanced in leaves but was dominated by methylation in roots where recovery to the pre-drought state appeared slower. One further article focuses on gene expression. Tai et al. (2016) used transcriptomics and anatomical measurement to differentiate three different types of maize root, the embryonic primary and seminal roots, and the post-embryonic crown roots. Although gene expression differ-ences were relatively small (in the order of 1% of genes differentially expressed between root types), global expression profiling suggests that those genes that were different between tissues reveal differences in root function.Researchers from the same laboratory as above (Zhang et al., 2016) have investigated the role of two genes known to be involved in lateral and seminal root production in maize, RUM1 (ROOTLESS WITH UNDETECTABLE MERISTEM 1) and its homeologue RUL1 (RUM1-like 1), both of which are regulators of auxin signalling. While both genes have similar molecular properties, the expression of RUL1 is much lower than that of RUM1 while the authors reveal a RUM1-associated protein 1 (RAP1) that specifically interacts with RUM1 but not with RUL1 suggesting that RUM1 and RUL1 are at least partially associated with different molecular networks.The gene RUM1 also featured in one of two papers that examine the detection and/or utility of quantitative trait loci (QTLs) detected for root system architecture traits. In Salvi et al. (2016), three QTLs for the number of roots were detected in maize introgression lines, with two of these being above excellent candidate genes, RUM1 and RTCS (rootless concerning crown and seminal roots). In durum wheat, Maccaferri et al. (2016) used two linkage mapping populations and one genome-wide association panel (with about 90 K markers) to identify root trait QTLs, revealing several genomic regions with clusters of QTLs for root length and number or root angle detected by both mapping approaches. In both of these papers the authors discuss the implications of these QTLs for breeding.Genome-wide association mapping was used in rice for the final two papers of this special issue. A total of 196 accessions were assessed for root and shoot growth under low phosphorus by Mori et al. (2016) revealing major differences in root effi-ciency of phosphorus uptake (amount of P taken up per unit of root surface area). Detailed physiology revealed several-fold differences in root efficiency between cultivars while mapping revealed, among others, a QTL on chromosome 11 with major potential for crop improvement. Finally, Dimkpa et al. (2016) screened 330 rice accessions for resistance to the root-knot nematode Meloidogyne graminicola revealing 11 QTLs and some notable candidate genes. They also discovered two rice lan-draces with complete resistance to the nematode which was confirmed in separate, large-pot experiments in two independent laboratories, providing excellent breeding strategies for improving resistance to this soil-borne pest that severely impacts root growth and function.Together these reviews and original research papers provide a glimpse into some of the issues and methodologies that are occupying root scientists at the current time.ReferencesBengough AG, Loades KW, McKenzie BM. 2016. Root hairs aid soil penetration by anchoring the root surface to pore walls. 67, 1071–1078.Berg G, Rybakova D, Grube M, Köberl M. 2016. The plant microbiome explored: implications for experimental botany. Journal of Experimental Botany 67, 995–1002.Chwialkowska K, Nowakowska U, Mroziewicz A, Szarejko I, Kwasniewski M. 2016. Water-deficiency conditions differently modulate the methylome of roots and leaves in barley (Hordeum vulgare L.). Journal of Experimental Botany 67, 1109–1121.Daly K, Keyes SD, Masum S, Roose T. 2016. Image-based modelling of nutrient movement in and around the rhizosphere. Journal of Experimental Botany 67, 1059–1070.Dimkpa SON, Lahari Z, Shrestha R, Douglas A, Gheysen G, Price AH. 2016. A genome-wide association study of a global rice panel reveals resistance in Oryza sativa to root-knot nematodes. Journal of Experimental Botany 67, 1191–1200.Janiak A, wasniewski MK, Szarejko I. 2016. Gene expression regulation in roots under drought. Journal of Experimental Botany 67, 1003–1014.Kalogiros DI, Adu MO, White PJ, Broadley MR, Draye X, Ptashnyk M, Bengough AG, Dupuy LX. 2016. Analysis of root growth from a phenotyping dataset using a density-based model. Journal of Experimental Botany 67, 1045–1058.Kwasniewski M, Daszkowska-Golec A, Janiak A, Chwialkowska K, Nowakowska U, Sablok G, Szarejko I. 2016. Transcriptome analysis reveals the role of the root hairs as environmental sensors to maintain plant functions under water deficiency conditions. Journal of Experimental Botany 67, 1079–1094.Maccaferri M, Elfeki W, Gashemali N, Salvi S, Canè MA, Colalongo MC, Stefanelli S, Tuberosa R. 2016. Prioritizing QTLs for root system architecture in tetraploid wheat. Journal of Experimental Botany 67, 1161–1178.Mori A, Fukuda T, Vejchasarn P, Pariasca-Tanaka J, Wissuwa M. 2016. The role of root size versus root efficiency in phosphorus (P) acquisition of rice. Journal of Experimental Botany 67, 1179–1189.Opitz N, Marcon C, Paschold A, Malik WA, Lithio A, Brandt R, Piepho H-P, Nettleton D, Hochholdinger F. 2016. Exceptional tissue-specific transcriptomic plasticity in maize primary roots upon water deficit. Journal of Experimental Botany 67, 1095–1107.992 | Preface at University of Aberdeen on January 11, 2017http://jxb.oxfordjournals.org/Downloaded from Salvi S, Giuliani S, Ricciolini C, Carraro N, Maccaferri M, Presterl T, Ouzunova M, Tuberosa R. 2016. Two major QTLs controlling the number of seminal roots in maize co-map with the root developmental genes Rtcs and Rum1. Journal of Experimental Botany 67, 1149–1159.Shabala S, Bose J, Fuglsang A, Pottosin II. 2016. On a quest for stress tolerance genes: membrane transporters in sensing and adapting to hostile soils. Journal of Experimental Botany 67, 1015–1031.Tai H, Lu X, Opitz N, Marcon C, Paschold A, Lithio A, Nettleton D, Hochholdinger F. 2016. Transcriptomic and anatomic complexity of primary, seminal and crown roots highlight root type-specific functional diversity in maize (Zea mays L.). Journal of Experimental Botany 67, 1123–1135.Wasson AP, Bischof L, Zwart A, Watt M. 2016. A portable fluorescence spectroscopy imaging system for automated root phenotyping in soil cores in the field. Journal of Experimental Botany 67, 1033–1043.Zhang Y, Marcon C, Tai H, von Behrens I, Ludwig Y, Hey S, Berendzen K, Hochholdinger F. 2016. Conserved and unique features of the homeologous maize Aux/IAA proteins ROOTLESS WITH UNDETECTABLE MERISTEM 1 and RUM1-like 1. Journal of Experimental Botany 67, 1137–1147.Adam H. PriceUniversity of Aberdeena.price@abdn.ac.ukPreface | 993 at University of Aberdeen on January 11, 2017http://jxb.oxfordjournals.org/Downloaded from 

Plant roots : New challenges in a changing world

Abstract

Similar works

Full text

Available Versions

Aberdeen University Research

Crossref