New Phytologist最新文献

{"title":"Epigenetic regulation of female germline development through ERECTA signaling pathway","authors":"Youmei Huang,&nbsp;Liping Liu,&nbsp;Mengnan Chai,&nbsp;Han Su,&nbsp;Suzhuo Ma,&nbsp;Kaichuang Liu,&nbsp;Yaru Tian,&nbsp;Zhuangyuan Cao,&nbsp;Xinpeng Xi,&nbsp;Wenhui Zhu,&nbsp;Jingang Qi,&nbsp;Ravishankar Palanivelu,&nbsp;Yuan Qin,&nbsp;Hanyang Cai","doi":"10.1111/nph.19217","DOIUrl":"https://doi.org/10.1111/nph.19217","url":null,"abstract":"<div>\u0000 \u0000 <p>\u0000 \u0000 </p><ul>\u0000 \u0000 \u0000 <li>Germline development is a key step in sexual reproduction. Sexual plant reproduction begins with the formation of haploid spores by meiosis of megaspore mother cells (MMCs). Although many evidences, directly or indirectly, show that epigenetics plays an important role in MMC specification, how it controls the commitment of the MMC to downstream stages of germline development is still unclear.</li>\u0000 \u0000 \u0000 <li>Electrophoretic mobility shift assay (EMSA), western blot, immunofluorescence, and chromatin immunoprecipitation coupled with quantitative PCR analyses were performed. Genetic interactions between BZR1 transcription factor family and the SWR1-SDG2-ER pathway in the control of female germline development were further studied.</li>\u0000 \u0000 \u0000 <li>The present findings showed in Arabidopsis that two epigenetic factors, the chromatin remodeling complex SWI2/SNF2-RELATED 1 (SWR1) and a writer for H3K4me3 histone modification SET DOMAIN GROUP 2 (SDG2), genetically interact with the ERECTA (ER) receptor kinase signaling pathway and regulate female germline development by restricting the MMC cell fate to a single cell in the ovule primordium and ensure that only that single cell undergoes meiosis and subsequent megaspore degeneration. We also showed that SWR1-SDG2-ER signaling module regulates female germline development by promoting the protein accumulation of BZR1 transcription factor family on the promoters of primary miRNA processing factors, <i>HYPONASTIC LEAVES 1</i> (<i>HYL1</i>), <i>DICER-LIKE 1</i> (<i>DCL1</i>), and <i>SERRATE</i> (<i>SE</i>) to activate their expression.</li>\u0000 \u0000 \u0000 <li>Our study elucidated a Gene Regulation Network that provides new insights for understanding how epigenetic factors and receptor kinase signaling pathways function in concert to control female germline development in Arabidopsis.</li>\u0000 </ul>\u0000 \u0000 </div>","PeriodicalId":48887,"journal":{"name":"New Phytologist","volume":"240 3","pages":"1015-1033"},"PeriodicalIF":9.4,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41087608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coordination of growth and drought responses by GA-ABA signaling in rice","authors":"Zhigang Liao,&nbsp;Yunchao Zhang,&nbsp;Qing Yu,&nbsp;Weicong Fang,&nbsp;Meiyao Chen,&nbsp;Tianfei Li,&nbsp;Yi Liu,&nbsp;Zaochang Liu,&nbsp;Liang Chen,&nbsp;Shunwu Yu,&nbsp;Hui Xia,&nbsp;Hong-Wei Xue,&nbsp;Hong Yu,&nbsp;Lijun Luo","doi":"10.1111/nph.19209","DOIUrl":"https://doi.org/10.1111/nph.19209","url":null,"abstract":"<div>\u0000 \u0000 <p>\u0000 \u0000 </p><ul>\u0000 \u0000 \u0000 <li>The drought caused by global warming seriously affects the crop growth and agricultural production. Plants have evolved distinct strategies to cope with the drought environment. Under drought stress, energy and resources should be diverted from growth toward stress management.</li>\u0000 \u0000 \u0000 <li>However, the molecular mechanism underlying coordination of growth and drought response remains largely elusive.</li>\u0000 \u0000 \u0000 <li>Here, we discovered that most of the gibberellin (GA) metabolic genes were regulated by water scarcity in rice, leading to the lower GA contents and hence inhibited plant growth. Low GA contents resulted in the accumulation of more GA signaling negative regulator SLENDER RICE 1, which inhibited the degradation of abscisic acid (ABA) receptor PYL10 by competitively binding to the co-activator of anaphase-promoting complex TAD1, resulting in the enhanced ABA response and drought tolerance.</li>\u0000 \u0000 \u0000 <li>These results elucidate the synergistic regulation of crop growth inhibition and promotion of drought tolerance and survival, and provide useful genetic resource in breeding improvement of crop drought resistance.</li>\u0000 </ul>\u0000 \u0000 </div>","PeriodicalId":48887,"journal":{"name":"New Phytologist","volume":"240 3","pages":"1149-1161"},"PeriodicalIF":9.4,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41087546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An interplay between bZIP16, bZIP68, and GBF1 regulates nuclear photosynthetic genes during photomorphogenesis in Arabidopsis","authors":"Louise Norén Lindb?ck,&nbsp;Yan Ji,&nbsp;Luis Cervela-Cardona,&nbsp;Xu Jin,&nbsp;Ullas V. Pedmale,&nbsp;?sa Strand","doi":"10.1111/nph.19219","DOIUrl":"https://doi.org/10.1111/nph.19219","url":null,"abstract":"<p>\u0000 \u0000 </p>","PeriodicalId":48887,"journal":{"name":"New Phytologist","volume":"240 3","pages":"1082-1096"},"PeriodicalIF":9.4,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/nph.19219","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41087549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"QuantAS: a comprehensive pipeline to study alternative splicing by absolute quantification of splice isoforms","authors":"Yu-Chen Song,&nbsp;Mo-Xian Chen,&nbsp;Kai-Lu Zhang,&nbsp;Anireddy S. N. Reddy,&nbsp;Fu-Liang Cao,&nbsp;Fu-Yuan Zhu","doi":"10.1111/nph.19193","DOIUrl":"https://doi.org/10.1111/nph.19193","url":null,"abstract":"<p>Alternative splicing (AS) is a mechanism by which cells generate abundant protein diversity from a limited number of genes (Baralle &amp; Giudice, <span>2017</span>). AS plays a crucial role in regulating various life activities such as growth, development, and aging in plants (Zhu <i>et al</i>., <span>2017</span>; Godoy Herz &amp; Kornblihtt, <span>2019</span>; Jabre <i>et al</i>., <span>2019</span>; Chen <i>et al</i>., <span>2020</span>; Reddy <i>et al</i>., <span>2020</span>; Zhang <i>et al</i>., <span>2020</span>), where it greatly influences plant growth, development, and response to biotic and abiotic stresses (Motion <i>et al</i>., <span>2015</span>; Laloum <i>et al</i>., <span>2018</span>; Chaudhary <i>et al</i>., <span>2019</span>; Chen <i>et al</i>., <span>2021</span>; Ganie &amp; Reddy, <span>2021</span>; Saini <i>et al</i>., <span>2021</span>; Zhu <i>et al</i>., <span>2023</span>; Supporting Information Fig. S1). The traditional method for the identification of AS is semi-quantitative RT-PCR, which is easy to perform (Palusa <i>et al</i>., <span>2007</span>; Li <i>et al</i>., <span>2020</span>; Riegler <i>et al</i>., <span>2021</span>; Han <i>et al</i>., <span>2022</span>). Quantitative PCR (qPCR) is also widely used in AS research, as it enables real-time monitoring of fluorescence signals and accurate quantification of isoform copy numbers through the use of specific primers (Hefti <i>et al</i>., <span>2018</span>; Liu <i>et al</i>., <span>2018</span>; Huang <i>et al</i>., <span>2021</span>). With the emergence of digital PCR (dPCR), the identification methods of AS have become more diversified, which disperses each single target fragment into separate droplets as much as possible through the calculation of positive droplets (Fig. S2; Gao <i>et al</i>., <span>2021</span>).</p><p>Based on the urgent need for the accurate quantification of various isoforms, an AS detection method called QuantAS was established (Fig. 1), which allows us to accurately quantify all isoforms of genes based on absolute quantification technology and specific primer design. The method utilizes isoform-specific primers to overcome the isoform identification difficulty caused by different AS events and is designed by using the functional coding region as the isoform structure classification unit to ensure isoform independence (Fig. 2a). RT-qPCR enables real-time monitoring of changes in the fluorescence signal, quantification of differences between expression levels, and simultaneous detection of multiple in a single reaction. According to the copy number of different isoforms, isoform expression patterns can be identified by combining with absolute quantitative techniques. This method greatly increases the accuracy of identification and reduces the cost of repeated experiments. Furthermore, the absolute quantification of AS isoforms employing the combination of qPCR and dPCR could provide their respective advantages, thus rapidly obtaining all isoform info","PeriodicalId":48887,"journal":{"name":"New Phytologist","volume":"240 3","pages":"928-939"},"PeriodicalIF":9.4,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/nph.19193","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41087797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Iron-dependent regulation of leaf senescence: a key role for the H2B histone variant HTB4","authors":"Christian Dubos","doi":"10.1111/nph.19199","DOIUrl":"https://doi.org/10.1111/nph.19199","url":null,"abstract":"<p>Iron is an essential micronutrient for plant growth and development, as well as for crop productivity and the quality of their derived products (Briat <i>et al</i>., <span>2015</span>). This is because iron is a co-factor for several metalloproteins involved in essential physiological processes such as respiration in mitochondria or photosynthesis in chloroplasts. In most soils, iron is present in the form of insoluble oxides/hydroxides rendering it poorly available to plants. To cope with this poor bioavailability, plants have evolved sophisticated strategies to take up iron from soils (Berger <i>et al</i>., <span>2023</span>; Li <i>et al</i>., <span>2023</span>). Arabidopsis plants preferentially use the reduction-based strategy (the so-called Strategy I), as do most dicots and nongraminous monocots. This strategy relies on the secretion of protons into the rhizosphere by AHA2 (ARABIDOPSIS H⁺ ATPASE 2) to decrease the pH of the soil solution and solubilize oxidized iron (Fe³⁺), which is then reduced to Fe²⁺ by FRO2 (ferric reduction oxidases 2), and subsequently taken up into the root by IRT1 (iron-regulated transporter 1). This process is tightly regulated since, in excess, iron is also detrimental to the plant because of its capacity to generate reactive oxygen species (ROS) via the Fenton reaction.</p><p>The regulation of Iron homeostasis is well-conserved in plants, and is primarily controlled at the transcriptional level (Berger <i>et al</i>., <span>2023</span>; Li <i>et al</i>., <span>2023</span>). It relies on an intricate regulatory network involving several regulatory proteins, among which the bHLH (basic helix–loop–helix) transcription factors play a preponderant role (Fig. 1). For instance, Arabidopsis has 17 different bHLH proteins (from six bHLH clades) that regulate iron homeostasis. This regulatory network is composed of two modules. The first module relies on FIT/bHLH29 (FER-LIKE IRON DEFICIENCY INDUCED TRANSCRIPTION FACTOR; clade IIIa). FIT is a direct positive regulator of <i>FRO2</i> and <i>IRT1</i> expression (Fig. 1). To achieve its function, FIT interacts with bHLH38, bHLH39, bHLH100, and bHLH101 (clade Ib), forming heterodimers with partially overlapping roles. In the second module, another set of bHLH transcription factors positively regulate the expression of <i>FIT</i> and clade Ib bHLHs (Fig. 1). It involves ILR3/bHLH105 (iaa-leucine resistant 3), IDT1/bHLH34 (iron deficiency tolerant 1), bHLH104, bHLH115 from clade IVc, and URI/bLHL121 (UPSTREAM REGULATOR OF IRT1) from clade IVb (Tissot <i>et al</i>., <span>2019</span>; Gao <i>et al</i>., <span>2020</span>). By contrast, PYE/bHLH47 (POPEYE; clade IVb) is a negative regulator of clade Ib bHLH expression (Pu &amp; Liang, <span>2023</span>).</p><p>In their study, Yang <i>et al</i>. demonstrated that the H2B histone variant HTB4 negatively regulates leaf senescence in an iron-dependent manner. For instance, <i>HTB4</i> expression is in","PeriodicalId":48887,"journal":{"name":"New Phytologist","volume":"240 2","pages":"461-463"},"PeriodicalIF":9.4,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/nph.19199","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41081785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Arabidopsis Tubby domain-containing F-box proteins positively regulate immunity by modulating PI4Kβ protein levels","authors":"Karen Thulasi Devendrakumar,&nbsp;Charles Copeland,&nbsp;Christopher Adamchek,&nbsp;Xionghui Zhong,&nbsp;Xingchuan Huang,&nbsp;Joshua M. Gendron,&nbsp;Xin Li","doi":"10.1111/nph.19187","DOIUrl":"https://doi.org/10.1111/nph.19187","url":null,"abstract":"<p>\u0000 </p>","PeriodicalId":48887,"journal":{"name":"New Phytologist","volume":"240 1","pages":"354-371"},"PeriodicalIF":9.4,"publicationDate":"2023-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/nph.19187","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6100483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vegetative phase change causes age-dependent changes in phenotypic plasticity","authors":"Erica H. Lawrence-Paul,&nbsp;R. Scott Poethig,&nbsp;Jesse R. Lasky","doi":"10.1111/nph.19174","DOIUrl":"https://doi.org/10.1111/nph.19174","url":null,"abstract":"<p>\u0000 </p>","PeriodicalId":48887,"journal":{"name":"New Phytologist","volume":"240 2","pages":"613-625"},"PeriodicalIF":9.4,"publicationDate":"2023-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/nph.19174","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41081958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A time tree for the evolution of insect, vertebrate, wind, and water pollination in the angiosperms","authors":"Susanne S. Renner","doi":"10.1111/nph.19201","DOIUrl":"https://doi.org/10.1111/nph.19201","url":null,"abstract":"<p>There is much circumstantial evidence that flowering plants were diverse by the Lower Cretaceous and were pollinated by insects (Arber &amp; Parkin, <span>1907</span>; Crepet &amp; Friis, <span>1987</span>). Arguments supporting this come from extant and fossil flower morphology, fossilized traces of interactions, and the pollination modes of surviving early lineages. First, some extinct gymnosperms had bisporangiate cones (with both micro- and megasporangia) surrounded by bracts (Fig. 1), and many such cones show traces of having been chewed by mandibulate insects (Peris <i>et al</i>., <span>2017</span>). Fossils of flower-associated flies also provide evidence of the existence of strobilus–pollinator interactions from the Permian to the Jurassic (Ren, <span>1998</span>; Ren <i>et al</i>., <span>2009</span>; Khramov <i>et al.</i>, <span>2023</span>). Second, if flowers evolved from bisporangiate strobili, they were not well suited for wind pollination because simultaneous optimization for pollen export and pollen capture is structurally difficult. The angiosperms' defining enclosure of the megasporangium inside surrounding structures may also point to ancestral insect pollination, as argued by Arber &amp; Parkin (<span>1907</span>: 73), ‘In the case of the angiosperms such primitive entomophily was preserved and rendered permanent by a transference of the pollen-collecting mechanism from the ovule itself to the carpel or megasporophyll and by the closure of this organ.’ Third, all angiosperms, but no living gymnosperm, produce pollenkitt, an oily substance on the surface of pollen that serves as a glue to attach pollen to animal vectors (Hesse, <span>1980</span>). In wind-pollinated plants, pollenkitt abundance is secondarily reduced. Lastly, the oldest lineages of flowering plants that still survive today are pollinated by flies, moths, and beetles (Luo <i>et al</i>., <span>2018</span>).</p><p>While insect pollination thus undoubtedly played a decisive role in the evolution of flowers, a phylogenetically informed analysis of pollination by insects, vertebrates, wind, and water across a full modern phylogeny of plants has been lacking. This is what Stephens <i>et al</i>. now provide in an article published in this issue of <i>New Phytologist</i> (<span>2023</span>; 880–891). Using a time-calibrated phylogeny with 1201 species representing the major lineages of flowering plants, together with geographic occurrence data, Stephens <i>et al</i>. quantified the timing and environmental associations of pollination shifts. Where possible, they scored pollination at the species level, either from published fieldwork (<i>n</i> = 432) or from the pollinator syndrome approach (<i>n</i> = 728). Where no information was available for a particular species, taxa were scored at genus (<i>n</i> = 131) or family (<i>n</i> = 4) level. In some analyses, 180 taxa with missing or polymorphic data were excluded from the analyses.</p><p>All major angiosperm clades (","PeriodicalId":48887,"journal":{"name":"New Phytologist","volume":"240 2","pages":"464-465"},"PeriodicalIF":9.4,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/nph.19201","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41081417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Occurrence and conversion of progestogens and androgens are conserved in land plants","authors":"Glendis Shiko,&nbsp;Max-Jonas Paulmann,&nbsp;Felix Feistel,&nbsp;Maria Ntefidou,&nbsp;Vanessa Hermann-Ene,&nbsp;Walter Vetter,&nbsp;Benedikt Kost,&nbsp;Grit Kunert,&nbsp;Julie A. Z. Zedler,&nbsp;Michael Reichelt,&nbsp;Ralf Oelmüller,&nbsp;Jan Klein","doi":"10.1111/nph.19163","DOIUrl":"https://doi.org/10.1111/nph.19163","url":null,"abstract":"<p>\u0000 </p>","PeriodicalId":48887,"journal":{"name":"New Phytologist","volume":"240 1","pages":"318-337"},"PeriodicalIF":9.4,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/nph.19163","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"5770037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enzyme-based kinetic modelling of ASC–GSH cycle during tomato fruit development reveals the importance of reducing power and ROS availability","authors":"Guillaume Decros,&nbsp;Thomas Dussarrat,&nbsp;Pierre Baldet,&nbsp;Cédric Cassan,&nbsp;Cécile Cabasson,&nbsp;Martine Dieuaide-Noubhani,&nbsp;Alice Destailleur,&nbsp;Amélie Flandin,&nbsp;Sylvain Prigent,&nbsp;Kentaro Mori,&nbsp;Sophie Colombié,&nbsp;Joana Jorly,&nbsp;Yves Gibon,&nbsp;Bertrand Beauvoit,&nbsp;Pierre Pétriacq","doi":"10.1111/nph.19160","DOIUrl":"https://doi.org/10.1111/nph.19160","url":null,"abstract":"<p>\u0000 </p>","PeriodicalId":48887,"journal":{"name":"New Phytologist","volume":"240 1","pages":"242-257"},"PeriodicalIF":9.4,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/nph.19160","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"5743236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}