start-ver=1.4 cd-journal=joma no-vol=42 cd-vols= no-issue=2 article-no= start-page=437 end-page=447 dt-received= dt-revised= dt-accepted= dt-pub-year=2018 dt-pub=20180716 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=The mechanism of SO2 -induced stomatal closure differs from O3 and CO2 responses and is mediated by nonapoptotic cell death in guard cells. en-subtitle= kn-subtitle= en-abstract= kn-abstract= Plants closing stomata in the presence of harmful gases is believed to be a stress avoidance mechanism. SO2 , one of the major airborne pollutants, has long been reported to induce stomatal closure, yet the mechanism remains unknown. Little is known about the stomatal response to airborne pollutants besides O3 . SLOW ANION CHANNEL-ASSOCIATED 1 (SLAC1) and OPEN STOMATA 1 (OST1) were identified as genes mediating O3 -induced closure. SLAC1 and OST1 are also known to mediate stomatal closure in response to CO2 , together with RESPIRATORY BURST OXIDASE HOMOLOGs (RBOHs). The overlaying roles of these genes in response to O3 and CO2 suggested that plants share their molecular regulators for airborne stimuli. Here, we investigated and compared stomatal closure event induced by a wide concentration range of SO2 in Arabidopsis through molecular genetic approaches. O3 - and CO2 -insensitive stomata mutants did not show significant differences from the wild type in stomatal sensitivity, guard cell viability, and chlorophyll content revealing that SO2 -induced closure is not regulated by the same molecular mechanisms as for O3 and CO2 . Nonapoptotic cell death is shown as the reason for SO2 -induced closure, which proposed the closure as a physicochemical process resulted from SO2 distress, instead of a biological protection mechanism. en-copyright= kn-copyright= en-aut-name=Ooi Lia en-aut-sei=Ooi en-aut-mei=Lia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=MatsuuraTakakazu en-aut-sei=Matsuura en-aut-mei=Takakazu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=MunemasaShintaro en-aut-sei=Munemasa en-aut-mei=Shintaro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=MurataYoshiyuki en-aut-sei=Murata en-aut-mei=Yoshiyuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=KatsuharaMaki en-aut-sei=Katsuhara en-aut-mei=Maki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=HirayamaTakashi en-aut-sei=Hirayama en-aut-mei=Takashi kn-aut-name=•½ŽRûéŽu kn-aut-sei=•½ŽR kn-aut-mei=ûéŽu aut-affil-num=6 ORCID= en-aut-name=MoriIzumi C. en-aut-sei=Mori en-aut-mei=Izumi C. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= affil-num=1 en-affil= Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=2 en-affil= Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=3 en-affil=Graduate School of Environmental and Life Science, Okayama University kn-affil= affil-num=4 en-affil=Graduate School of Environmental and Life Science, Okayama University kn-affil= affil-num=5 en-affil= Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=6 en-affil= Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=7 en-affil= Institute of Plant Science and Resources, Okayama University kn-affil= en-keyword=airborne pollutants kn-keyword=airborne pollutants en-keyword=nonapoptotic cell death kn-keyword=nonapoptotic cell death en-keyword=stomatal closure kn-keyword=stomatal closure en-keyword=sulfur dioxide kn-keyword=sulfur dioxide END start-ver=1.4 cd-journal=joma no-vol=61 cd-vols= no-issue=3 article-no= start-page=470 end-page=480 dt-received= dt-revised= dt-accepted= dt-pub-year=2019 dt-pub=20191113 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Regulation of the Poly(A) Status of Mitochondrial mRNA by Poly(A)-Specific Ribonuclease Is Conserved among Land Plants en-subtitle= kn-subtitle= en-abstract= kn-abstract=Regulation of the stability and the quality of mitochondrial RNA is essential for the maintenance of mitochondrial and cellular functions in eukaryotes. We have previously reported that the eukaryotic poly(A)-specific ribonuclease (PARN) and the prokaryotic poly(A) polymerase encoded by AHG2 and AGS1, respectively, coordinately regulate the poly(A) status and the stability of mitochondrial mRNA in Arabidopsis. Mitochondrial function of PARN has not been reported in any other eukaryotes. To know how much this PARN-based mitochondrial mRNA regulation is conserved among plants, we studied the AHG2 and AGS1 counterparts of the liverwort, Marchantia polymorpha, a member of basal land plant lineage. We found that M. polymorpha has one ortholog each for AHG2 and AGS1, named MpAHG2 and MpAGS1, respectively. Their Citrine-fused proteins were detected in mitochondria of the liverwort. Molecular genetic analysis showed that MpAHG2 is essential and functionally interacts with MpAGS1 as observed in Arabidopsis. A recombinant MpAHG2 protein had a deadenylase activity in vitro. Overexpression of MpAGS1 and the reduced expression of MpAHG2 caused an accumulation of polyadenylated Mpcox1 mRNA. Furthermore, MpAHG2 suppressed Arabidopsis ahg2-1 mutant phenotype. These results suggest that the PARN-based mitochondrial mRNA regulatory system is conserved in land plants. en-copyright= kn-copyright= en-aut-name=KanazawaMai en-aut-sei=Kanazawa en-aut-mei=Mai kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=IkedaYoko en-aut-sei=Ikeda en-aut-mei=Yoko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=NishihamaRyuichi en-aut-sei=Nishihama en-aut-mei=Ryuichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=YamaokaShohei en-aut-sei=Yamaoka en-aut-mei=Shohei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=LeeNam-Hee en-aut-sei=Lee en-aut-mei=Nam-Hee kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=YamatoKatsuyuki T en-aut-sei=Yamato en-aut-mei=Katsuyuki T kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=KohchiTakayuk en-aut-sei=Kohchi en-aut-mei=Takayuk kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=HirayamaTakashi en-aut-sei=Hirayama en-aut-mei=Takashi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= affil-num=1 en-affil=Division of Science for Bioresources, Graduate School of Environment and Life Science, Okayama University kn-affil= affil-num=2 en-affil=Division of Science for Bioresources, Graduate School of Environment and Life Science, Okayama University kn-affil= affil-num=3 en-affil=Graduate School of Biostudies, Kyoto University kn-affil= affil-num=4 en-affil=Graduate School of Biostudies, Kyoto University kn-affil= affil-num=5 en-affil=Department of Life Sciences, Faculty of Science and Engineering, Sorbonne University kn-affil= affil-num=6 en-affil=Department of Biotechnological Science, Faculty of Biology-Oriented Science and Technology, Kindai University kn-affil= affil-num=7 en-affil=Graduate School of Biostudies, Kyoto University kn-affil= affil-num=8 en-affil=Division of Science for Bioresources, Graduate School of Environment and Life Science, Okayama University kn-affil= en-keyword=Arabidopsis kn-keyword=Arabidopsis en-keyword=Marchantia polymorpha kn-keyword=Marchantia polymorpha en-keyword=Mitochondria kn-keyword=Mitochondria en-keyword= Poly(A) polymerase kn-keyword= Poly(A) polymerase en-keyword=Poly(A) regulation kn-keyword=Poly(A) regulation en-keyword= Poly(A)-specific ribonuclease kn-keyword= Poly(A)-specific ribonuclease END start-ver=1.4 cd-journal=joma no-vol=63 cd-vols= no-issue=12 article-no= start-page=1826 end-page=1839 dt-received= dt-revised= dt-accepted= dt-pub-year=2022 dt-pub=20220518 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity en-subtitle= kn-subtitle= en-abstract= kn-abstract=Agriculture is particularly vulnerable to climate change. To cope with the risks posed by climate-related stressors to agricultural production, global population growth, and changes in food preferences, it is imperative to develop new climate-smart crop varieties with increased yield and environmental resilience. Molecular genetics and genomic analyses have revealed that allelic variations in genes involved in phytohormone-mediated growth regulation have greatly improved productivity in major crops. Plant science has remarkably advanced our understanding of the molecular basis of various phytohormone-mediated events in plant life. These findings provide essential information for improving the productivity of crops growing in changing climates. In this review, we highlight the recent advances in plant hormonomics (multiple phytohormone profiling) and discuss its application to crop improvement. We present plant hormonomics as a key tool for deep physiological phenotyping, focusing on representative plant growth regulators associated with the improvement of crop productivity. Specifically, we review advanced methodologies in plant hormonomics, highlighting mass spectrometry- and nanosensor-based plant hormone profiling techniques. We also discuss the applications of plant hormonomics in crop improvement through breeding and agricultural management practices. en-copyright= kn-copyright= en-aut-name=HirayamaTakashi en-aut-sei=Hirayama en-aut-mei=Takashi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=MochidaKeiichi en-aut-sei=Mochida en-aut-mei=Keiichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= affil-num=1 en-affil=Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=2 en-affil=RIKEN Center for Sustainable Resource Science kn-affil= en-keyword=Biosensor kn-keyword=Biosensor en-keyword=Biostimulant kn-keyword=Biostimulant en-keyword=Breeding kn-keyword=Breeding en-keyword=Mass spectrometry kn-keyword=Mass spectrometry en-keyword=Phytohormone kn-keyword=Phytohormone END start-ver=1.4 cd-journal=joma no-vol=61 cd-vols= no-issue=8 article-no= start-page=1438 end-page=1448 dt-received= dt-revised= dt-accepted= dt-pub-year=2020 dt-pub=20200415 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Life-Course Monitoring of Endogenous Phytohormone Levels under Field Conditions Reveals Diversity of Physiological States among Barley Accessions en-subtitle= kn-subtitle= en-abstract= kn-abstract=Agronomically important traits often develop during the later stages of crop growth as consequences of various plant?environment interactions. Therefore, the temporal physiological states that change and accumulate during the cropfs life course can significantly affect the eventual phenotypic differences in agronomic traits among crop varieties. Thus, to improve productivity, it is important to elucidate the associations between temporal physiological responses during the growth of different crop varieties and their agronomic traits. However, data representing the dynamics and diversity of physiological states in plants grown under field conditions are sparse. In this study, we quantified the endogenous levels of five phytohormones ? auxin, cytokinins (CKs), ABA, jasmonate and salicylic acid ? in the leaves of eight diverse barley (Hordeum vulgare) accessions grown under field conditions sampled weekly over their life course to assess the ongoing fluctuations in hormone levels in the different accessions under field growth conditions. Notably, we observed enormous changes over time in the development-related plant hormones, such as auxin and CKs. Using 3Œ RNA-seq-based transcriptome data from the same samples, we investigated the expression of barley genes orthologous to known hormone-related genes of Arabidopsis throughout the life course. These data illustrated the dynamics and diversity of the physiological states of these field-grown barley accessions. Together, our findings provide new insights into plant?environment interactions, highlighting that there is cultivar diversity in physiological responses during growth under field conditions. en-copyright= kn-copyright= en-aut-name=HirayamaTakashi en-aut-sei=Hirayama en-aut-mei=Takashi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=SaishoDaisuke en-aut-sei=Saisho en-aut-mei=Daisuke kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=MatsuuraTakakazu en-aut-sei=Matsuura en-aut-mei=Takakazu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=OkadaSatoshi en-aut-sei=Okada en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TakahagiKotaro en-aut-sei=Takahagi en-aut-mei=Kotaro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=KanataniAsaka en-aut-sei=Kanatani en-aut-mei=Asaka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=ItoJun en-aut-sei=Ito en-aut-mei=Jun kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=TsujiHiroyuki en-aut-sei=Tsuji en-aut-mei=Hiroyuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=IkedaYoko en-aut-sei=Ikeda en-aut-mei=Yoko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=MochidaKeiichi en-aut-sei=Mochida en-aut-mei=Keiichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= affil-num=1 en-affil=Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=2 en-affil=Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=3 en-affil=Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=4 en-affil=Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=5 en-affil=RIKEN Center for Sustainable Resource Science kn-affil= affil-num=6 en-affil=RIKEN Center for Sustainable Resource Science kn-affil= affil-num=7 en-affil=Kihara Institute for Biological Research, Yokohama City University kn-affil= affil-num=8 en-affil=Kihara Institute for Biological Research, Yokohama City University kn-affil= affil-num=9 en-affil=Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=10 en-affil=Institute of Plant Science and Resources, Okayama University kn-affil= en-keyword=transcriptome kn-keyword=transcriptome en-keyword=barley kn-keyword=barley en-keyword=filed conditions kn-keyword=filed conditions en-keyword=hormone profiling kn-keyword=hormone profiling en-keyword=life-course monitoring kn-keyword=life-course monitoring END start-ver=1.4 cd-journal=joma no-vol=22 cd-vols= no-issue=3 article-no= start-page=1024 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2021 dt-pub=20210120 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Genetic Elucidation for Response of Flowering Time to Ambient Temperatures in Asian Rice Cultivars en-subtitle= kn-subtitle= en-abstract= kn-abstract=Climate resilience of crops is critical for global food security. Understanding the genetic basis of plant responses to ambient environmental changes is key to developing resilient crops. To detect genetic factors that set flowering time according to seasonal temperature conditions, we evaluated differences of flowering time over years by using chromosome segment substitution lines (CSSLs) derived from japonica rice cultivars "Koshihikari" x "Khao Nam Jen", each with different robustness of flowering time to environmental fluctuations. The difference of flowering times in 9 years' field tests was large in "Khao Nam Jen" (36.7 days) but small in "Koshihikari" (9.9 days). Part of this difference was explained by two QTLs. A CSSL with a "Khao Nam Jen" segment on chromosome 11 showed 28.0 days' difference; this QTL would encode a novel flowering-time gene. Another CSSL with a segment from "Khao Nam Jen" in the region around Hd16 on chromosome 3 showed 23.4 days" difference. A near-isogenic line (NIL) for Hd16 showed 21.6 days' difference, suggesting Hd16 as a candidate for this QTL. RNA-seq analysis showed differential expression of several flowering-time genes between early and late flowering seasons. Low-temperature treatment at panicle initiation stage significantly delayed flowering in the CSSL and NIL compared with "Koshihikari". Our results unravel the molecular control of flowering time under ambient temperature fluctuations. en-copyright= kn-copyright= en-aut-name=HoriKiyosumi en-aut-sei=Hori en-aut-mei=Kiyosumi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=SaishoDaisuke en-aut-sei=Saisho en-aut-mei=Daisuke kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=NagataKazufumi en-aut-sei=Nagata en-aut-mei=Kazufumi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=NonoueYasunori en-aut-sei=Nonoue en-aut-mei=Yasunori kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=Uehara-YamaguchiYukiko en-aut-sei=Uehara-Yamaguchi en-aut-mei=Yukiko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=KanataniAsaka en-aut-sei=Kanatani en-aut-mei=Asaka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=ShuKoka en-aut-sei=Shu en-aut-mei=Koka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=HirayamaTakashi en-aut-sei=Hirayama en-aut-mei=Takashi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=YonemaruJun-Ichi en-aut-sei=Yonemaru en-aut-mei=Jun-Ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=FukuokaShuichi en-aut-sei=Fukuoka en-aut-mei=Shuichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=MochidaKeiichi en-aut-sei=Mochida en-aut-mei=Keiichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= affil-num=1 en-affil=National Agriculture and Food Research Organization, Institute of Crop Science kn-affil= affil-num=2 en-affil=Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=3 en-affil=National Agriculture and Food Research Organization, Institute of Crop Science kn-affil= affil-num=4 en-affil=National Agriculture and Food Research Organization, Institute of Crop Science kn-affil= affil-num=5 en-affil=RIKEN Center for Sustainable Resource Science kn-affil= affil-num=6 en-affil=RIKEN Center for Sustainable Resource Science kn-affil= affil-num=7 en-affil=National Agriculture and Food Research Organization, Institute of Crop Science kn-affil= affil-num=8 en-affil=Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=9 en-affil=National Agriculture and Food Research Organization, Institute of Crop Science kn-affil= affil-num=10 en-affil=National Agriculture and Food Research Organization, Institute of Crop Science kn-affil= affil-num=11 en-affil=Institute of Plant Science and Resources, Okayama University kn-affil= en-keyword=rice kn-keyword=rice en-keyword=flowering time kn-keyword=flowering time en-keyword=ambient temperature fluctuation kn-keyword=ambient temperature fluctuation en-keyword=chromosome segment substitution line (CSSL) kn-keyword=chromosome segment substitution line (CSSL) en-keyword=quantitative trait locus (QTL) kn-keyword=quantitative trait locus (QTL) END start-ver=1.4 cd-journal=joma no-vol=45 cd-vols= no-issue=11 article-no= start-page=3322 end-page=3337 dt-received= dt-revised= dt-accepted= dt-pub-year=2022 dt-pub=20220907 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=FE UPTAKE]INDUCING PEPTIDE1 maintains Fe translocation by controlling Fe deficiency response genes in the vascular tissue of Arabidopsis en-subtitle= kn-subtitle= en-abstract= kn-abstract=FE UPTAKE-INDUCING PEPTIDE1 (FEP1), also named IRON MAN3 (IMA3) is a short peptide involved in the iron deficiency response in Arabidopsis thaliana. Recent studies uncovered its molecular function, but its physiological function in the systemic Fe response is not fully understood. To explore the physiological function of FEP1 in iron homoeostasis, we performed a transcriptome analysis using the FEP1 loss-of-function mutant fep1-1 and a transgenic line with oestrogen-inducible expression of FEP1. We determined that FEP1 specifically regulates several iron deficiency-responsive genes, indicating that FEP1 participates in iron translocation rather than iron uptake in roots. The iron concentration in xylem sap under iron-deficient conditions was lower in the fep1-1 mutant and higher in FEP1-induced transgenic plants compared with the wild type (WT). Perls staining revealed a greater accumulation of iron in the cortex of fep1-1 roots than in the WT root cortex, although total iron levels in roots were comparable in the two genotypes. Moreover, the fep1-1 mutation partially suppressed the iron overaccumulation phenotype in the leaves of the oligopeptide transporter3-2 (opt3-2) mutant. These data suggest that FEP1 plays a pivotal role in iron movement and in maintaining the iron quota in vascular tissues in Arabidopsis. en-copyright= kn-copyright= en-aut-name=OkadaSatoshi en-aut-sei=Okada en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=LeiGui J. en-aut-sei=Lei en-aut-mei=Gui J. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YamajiNaoki en-aut-sei=Yamaji en-aut-mei=Naoki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=HuangSheng en-aut-sei=Huang en-aut-mei=Sheng kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=MaJian F. en-aut-sei=Ma en-aut-mei=Jian F. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=MochidaKeiichi en-aut-sei=Mochida en-aut-mei=Keiichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=HirayamaTakashi en-aut-sei=Hirayama en-aut-mei=Takashi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= affil-num=1 en-affil=Group of Environmental Stress Response Systems, Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=2 en-affil=Group of Plant Stress Physiology, Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=3 en-affil=Group of Plant Stress Physiology, Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=4 en-affil=Group of Plant Stress Physiology, Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=5 en-affil=Group of Plant Stress Physiology, Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=6 en-affil=Crop Design Research Team, Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=7 en-affil=Group of Environmental Stress Response Systems, Institute of Plant Science and Resources, Okayama University kn-affil= en-keyword=oestrogen induction system kn-keyword=oestrogen induction system en-keyword=fep1-1 kn-keyword=fep1-1 en-keyword=iron-deficiency response kn-keyword=iron-deficiency response en-keyword=transcriptome kn-keyword=transcriptome END start-ver=1.4 cd-journal=joma no-vol=61 cd-vols= no-issue=8 article-no= start-page=1408 end-page=1418 dt-received= dt-revised= dt-accepted= dt-pub-year=2020 dt-pub=20200511 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Decoding Plant?Environment Interactions That Influence Crop Agronomic Traits en-subtitle= kn-subtitle= en-abstract= kn-abstract=To ensure food security in the face of increasing global demand due to population growth and progressive urbanization, it will be crucial to integrate emerging technologies in multiple disciplines to accelerate overall throughput of gene discovery and crop breeding. Plant agronomic traits often appear during the plantsf later growth stages due to the cumulative effects of their lifetime interactions with the environment. Therefore, decoding plant?environment interactions by elucidating plantsf temporal physiological responses to environmental changes throughout their lifespans will facilitate the identification of genetic and environmental factors, timing and pathways that influence complex end-point agronomic traits, such as yield. Here, we discuss the expected role of the life-course approach to monitoring plant and crop health status in improving crop productivity by enhancing the understanding of plant?environment interactions. We review recent advances in analytical technologies for monitoring health status in plants based on multi-omics analyses and strategies for integrating heterogeneous datasets from multiple omics areas to identify informative factors associated with traits of interest. In addition, we showcase emerging phenomics techniques that enable the noninvasive and continuous monitoring of plant growth by various means, including three-dimensional phenotyping, plant root phenotyping, implantable/injectable sensors and affordable phenotyping devices. Finally, we present an integrated review of analytical technologies and applications for monitoring plant growth, developed across disciplines, such as plant science, data science and sensors and Internet-of-things technologies, to improve plant productivity. en-copyright= kn-copyright= en-aut-name=MochidaKeiichi en-aut-sei=Mochida en-aut-mei=Keiichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=NishiiRyuei en-aut-sei=Nishii en-aut-mei=Ryuei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=HirayamaTakashi en-aut-sei=Hirayama en-aut-mei=Takashi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= affil-num=1 en-affil=Institute of Plant Science and Resources, Okayama University kn-affil= affil-num=2 en-affil=School of Information and Data Sciences, Nagasaki University kn-affil= affil-num=3 en-affil=Institute of Plant Science and Resources, Okayama University kn-affil= en-keyword=Genome to phenome kn-keyword=Genome to phenome en-keyword=Life-course approach kn-keyword=Life-course approach en-keyword=Multi-omics kn-keyword=Multi-omics en-keyword=Plant phenomics kn-keyword=Plant phenomics en-keyword=Sensor. kn-keyword=Sensor. END start-ver=1.4 cd-journal=joma no-vol=104 cd-vols= no-issue=4 article-no= start-page=995 end-page=1008 dt-received= dt-revised= dt-accepted= dt-pub-year=2020 dt-pub=20201120 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=BdWRKY38 is required for the incompatible interaction of Brachypodium distachyon with the necrotrophic fungus Rhizoctonia solani en-subtitle= kn-subtitle= en-abstract= kn-abstract=Rhizoctonia solani is a soil]borne necrotrophic fungus that causes sheath blight in grasses. The basal resistance of compatible interactions between R. solani and rice is known to be modulated by some WRKY transcription factors (TFs). However, genes and defense responses involved in incompatible interaction with R. solani remain unexplored, because no such interactions are known in any host plants. Recently, we demonstrated that Bd3]1, an accession of the model grass Brachypodium distachyon, is resistant to R. solani and, upon inoculation with the fungus, undergoes rapid induction of genes responsive to the phytohormone salicylic acid (SA) that encode the WRKY TFs BdWRKY38 and BdWRKY44. Here, we show that endogenous SA and these WRKY TFs positively regulate this accession]specific R. solani resistance. In contrast to a susceptible accession (Bd21), the infection process in the resistant accessions Bd3]1 and Tek]3 was suppressed at early stages before the development of fungal biomass and infection machinery. A comparative transcriptome analysis during pathogen infection revealed that putative WRKY]dependent defense genes were induced faster in the resistant accessions than in Bd21. A gene regulatory network (GRN) analysis based on the transcriptome dataset demonstrated that BdWRKY38 was a GRN hub connected to many target genes specifically in resistant accessions, whereas BdWRKY44 was shared in the GRNs of all three accessions. Moreover, overexpression of BdWRKY38 increased R. solani resistance in Bd21. Our findings demonstrate that these resistant accessions can activate an incompatible host response to R. solani, and BdWRKY38 regulates this response by mediating SA signaling. en-copyright= kn-copyright= en-aut-name=KouzaiYusuke en-aut-sei=Kouzai en-aut-mei=Yusuke kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=ShimizuMinami en-aut-sei=Shimizu en-aut-mei=Minami kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=InoueKomaki en-aut-sei=Inoue en-aut-mei=Komaki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=Uehara]YamaguchiYukiko en-aut-sei=Uehara]Yamaguchi en-aut-mei=Yukiko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TakahagiKotaro en-aut-sei=Takahagi en-aut-mei=Kotaro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=NakayamaRisa en-aut-sei=Nakayama en-aut-mei=Risa kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=MatsuuraTakakazu en-aut-sei=Matsuura en-aut-mei=Takakazu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=MoriIzumi C. en-aut-sei=Mori en-aut-mei=Izumi C. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=HirayamaTakashi en-aut-sei=Hirayama en-aut-mei=Takashi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=AbdelsalamSobhy S. H. en-aut-sei=Abdelsalam en-aut-mei=Sobhy S. H. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=NoutoshiYoshiteru en-aut-sei=Noutoshi en-aut-mei=Yoshiteru kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=MochidaKeiichi en-aut-sei=Mochida en-aut-mei=Keiichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= affil-num=1 en-affil=Bioproductivity Informatics Research Team, RIKEN Center for Sustainable Resource Science kn-affil= affil-num=2 en-affil=Bioproductivity Informatics Research Team, RIKEN Center for Sustainable Resource Science kn-affil= affil-num=3 en-affil=Bioproductivity Informatics Research Team, RIKEN Center for Sustainable Resource Science kn-affil= affil-num=4 en-affil=Bioproductivity Informatics Research Team, RIKEN Center for Sustainable Resource Science kn-affil= affil-num=5 en-affil=Bioproductivity Informatics Research Team, RIKEN Center for Sustainable Resource Science kn-affil= affil-num=6 en-affil=Bioproductivity Informatics Research Team, RIKEN Center for Sustainable Resource Science kn-affil= affil-num=7 en-affil=Institute of Plant Science and Resources (IPSR), Okayama University kn-affil= affil-num=8 en-affil=Institute of Plant Science and Resources (IPSR), Okayama University kn-affil= affil-num=9 en-affil=Institute of Plant Science and Resources (IPSR), Okayama University kn-affil= affil-num=10 en-affil=Graduate School of Environmental and Life Science, Okayama University kn-affil= affil-num=11 en-affil=Graduate School of Environmental and Life Science, Okayama University kn-affil= affil-num=12 en-affil=Institute of Plant Science and Resources (IPSR), Okayama University kn-affil= en-keyword=Brachypodium distachyon kn-keyword=Brachypodium distachyon en-keyword=disease resistance kn-keyword=disease resistance en-keyword=Rhizoctonia solani kn-keyword=Rhizoctonia solani en-keyword=salicylic acid kn-keyword=salicylic acid en-keyword=incompatible interaction kn-keyword=incompatible interaction en-keyword=sheath blight kn-keyword=sheath blight en-keyword=transcriptome kn-keyword=transcriptome en-keyword=WRKY kn-keyword=WRKY END start-ver=1.4 cd-journal=joma no-vol=5 cd-vols= no-issue= article-no= start-page=11364 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2015 dt-pub=20150612 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Abscisic acid induces ectopic outgrowth in epidermal cells through cortical microtubule reorganization in Arabidopsis thaliana en-subtitle= kn-subtitle= en-abstract= kn-abstract=Abscisic acid (ABA) regulates seed maturation, germination and various stress responses in plants. The roles of ABA in cellular growth and morphogenesis, however, remain to be explored. Here, we report that ABA induces the ectopic outgrowth of epidermal cells in Arabidopsis thaliana. Seedlings of A. thaliana germinated and grown in the presence of ABA developed ectopic protrusions in the epidermal cells of hypocotyls, petioles and cotyledons. One protrusion was formed in the middle of each epidermal cell. In the hypocotyl epidermis, two types of cell files are arranged alternately into non-stoma cell files and stoma cell files, ectopic protrusions being restricted to the non-stoma cell files. This suggests the presence of a difference in the degree of sensitivity to ABA or in the capacity of cells to form protrusions between the two cell files. The ectopic outgrowth was suppressed in ABA insensitive mutants, whereas it was enhanced in ABA hypersensitive mutants. Interestingly, ABA-induced ectopic outgrowth was also suppressed in mutants in which microtubule organization was compromised. Furthermore, cortical microtubules were disorganized and depolymerized by the ABA treatment. These results suggest that ABA signaling induces ectopic outgrowth in epidermal cells through microtubule reorganization. en-copyright= kn-copyright= en-aut-name=TakataniShogo en-aut-sei=Takatani en-aut-mei=Shogo kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=HirayamaTakashi en-aut-sei=Hirayama en-aut-mei=Takashi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=HashimotoTakashi en-aut-sei=Hashimoto en-aut-mei=Takashi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=TakahashiTaku en-aut-sei=Takahashi en-aut-mei=Taku kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=MotoseHiroyasu en-aut-sei=Motose en-aut-mei=Hiroyasu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= affil-num=1 en-affil= kn-affil=Department of Biological Science, Graduate School of Natural Science and Technology, Okayama University affil-num=2 en-affil= kn-affil=Institute of Plant Science and Resources, Okayama University affil-num=3 en-affil= kn-affil=Graduate School of Biological Science, Nara Institute of Science and Technology affil-num=4 en-affil= kn-affil=Department of Biological Science, Graduate School of Natural Science and Technology, Okayama University affil-num=5 en-affil= kn-affil=Ž©‘R‰ÈŠwŒ¤‹†‰È en-keyword=Cell growth kn-keyword=Cell growth en-keyword=Plant cytoskeleton kn-keyword=Plant cytoskeleton END