查看更多>>摘要：RNA-binding proteins(RBPs)accompany RNA from synthesis to decay,mediating every aspect of RNA metabolism and impacting diverse cellular and developmental processes in eukaryotes.Many RBPs un-dergo phase separation along with their bound RNA to form and function in dynamic membraneless biomolecular condensates for spatiotemporal coordination or regulation of RNA metabolism.Increasing evidence suggests that phase-separating RBPs with RNA-binding domains and intrinsically disordered re-gions play important roles in plant development and stress adaptation.Here,we summarize the current knowledge about how dynamic partitioning of RBPs into condensates controls plant development and en-ables sensing of experimental changes to confer growth plasticity under stress conditions,with a focus on the dynamics and functional mechanisms of RBP-rich nuclear condensates and cytoplasmic granules in mediating RNA metabolism.We also discuss roles of multiple factors,such as environmental signals,pro-tein modifications,and N6-methyladenosine RNA methylation,in modulating the phase separation behav-iors of RBPs,and highlight the prospects and challenges for future research on phase-separating RBPs in crops.
Admas AlemuJohanna ?strandOsval A.Montesinos-LópezJulio Isidro y Sánchez...
552-578页
查看更多>>摘要：Genomic selection,the application of genomic prediction(GP)models to select candidate individuals,has significantly advanced in the past two decades,effectively accelerating genetic gains in plant breeding.This article provides a holistic overview of key factors that have influenced GP in plant breeding during this period.We delved into the pivotal roles of training population size and genetic diversity,and their rela-tionship with the breeding population,in determining GP accuracy.Special emphasis was placed on opti-mizing training population size.We explored its benefits and the associated diminishing returns beyond an optimum size.This was done while considering the balance between resource allocation and maximizing prediction accuracy through current optimization algorithms.The density and distribution of single-nucle-otide polymorphisms,level of linkage disequilibrium,genetic complexity,trait heritability,statistical ma-chine-learning methods,and non-additive effects are the other vital factors.Using wheat,maize,and po-tato as examples,we summarize the effect of these factors on the accuracy of GP for various traits.The search for high accuracy in GP-theoretically reaching one when using the Pearson's correlation as a metric-is an active research area as yet far from optimal for various traits.We hypothesize that with ultra-high sizes of genotypic and phenotypic datasets,effective training population optimization methods and support from other omics approaches(transcriptomics,metabolomics and proteomics)coupled with deep-learning algorithms could overcome the boundaries of current limitations to achieve the highest possible prediction accuracy,making genomic selection an effective tool in plant breeding.
查看更多>>摘要：Among plant metabolites,phenolamides,which are conjugates of hydroxycinnamic acid derivatives and polyamines,play important roles in plant adaptation to abiotic and biotic stresses.However,the molecular mechanisms underlying phenolamide metabolism and regulation as well as the effects of domestication and breeding on phenolamide diversity in tomato remain largely unclear.In this study,we performed a metabolite-based genome-wide association study and identified two biosynthetic gene clusters(BGC7 and BGC11)containing 12 genes involved in phenolamide metabolism,including four biosynthesis genes(two 4CL genes,one C3H gene,and one CPA gene),seven decoration genes(five AT genes and two UGT genes),and one transport protein gene(DTX29).Using gene co-expression network analysis we further discovered that SIMYB13 positively regulates the expression of two gene clusters,thereby promoting phe-nolamide accumulation.Genetic and physiological analyses showed that BGC7,BGC11 and SIMYB13 enhance drought tolerance by enhancing scavenging of reactive oxygen species and increasing abscisic acid content in tomato.Natural variation analysis suggested that BGC7,BGC11 and SIMYB13 were nega-tively selected during tomato domestication and improvement,leading to reduced phenolamide content and drought tolerance of cultivated tomato.Collectively,our study discovers a key mechanism of phenolamide biosynthesis and regulation in tomato and reveals that crop domestication and improve-ment shapes metabolic diversity to affect plant environmental adaptation.
万方数据
维普