In plants,microRNA (miRNA) functions in the post-transcriptional repression of target mRNAs have been well explored.However,the mechanisms regulating the accumulation of miRNAs remain poorly under.stood.Here,we report...In plants,microRNA (miRNA) functions in the post-transcriptional repression of target mRNAs have been well explored.However,the mechanisms regulating the accumulation of miRNAs remain poorly under.stood.Here,we report that distinct mechanisms regulate accumulation of a monocot-specific miRNA,rice (Oryza sativa) miR528.At the transcriptional level,miR528 accumulated to higher levels in older plants than in young seedlings and exhibited aging-modulated gradual accumulation and diurnal rhythms in leaves;at the post-transcriptional level,aging also modulated miR528 levels by enhancing pri-miR528 alter.native splicing.We found that miR528 promotes rice flowering under long-day conditions by targeting RED AND FAR-RED INSENSITIVE2 (OsRFI2).Moreover,natural variations in the MIR528 promoter region caused differences in miR528 expression among rice varieties,which are correlated with their different binding affinities with the transcription factor OsSPL9 that activates the expression of miR528.Taken together,our findings reveal rice plants have evolved sophisticated modes fine-tuning miR528 levels and provide insight into the mechanisms that regulate MIRNA expression in plants.展开更多
Long noncoding RNAs （lncRNAs） play important roles in various biological regulatory processes in yeast, mammals, and plants. However, no systematic identification of lncRNAs has been reported in Gossypium arboreum. ...Long noncoding RNAs （lncRNAs） play important roles in various biological regulatory processes in yeast, mammals, and plants. However, no systematic identification of lncRNAs has been reported in Gossypium arboreum. In this study, the strand-specific RNA sequencing （ssRNA-seq） of samples from cotton fibers and leaves was performed, and lncRNAs involved in fiber initiation and elongation processes were systematically identified and analyzed. We identified 5,996 lncRNAs, of which 3,510 and 2,486 can be classified as long intergenic noncoding RNAs （lincRNAs） and natural antisense transcripts （IncNAT）, respectively. LincRNAs and lncNATs are similar in many aspects, but have some differences in exon number, exon length, and transcript length. Expression analysis revealed that 51.9% of lincRNAs and 54.5% of lncNATs transcripts were preferentially expressed at one stage of fiber development, and were significantly highly expressed than protein-coding tran- scripts （21.7%）. During the fiber and rapid elongation stages, rapid and dynamic changes in lncRNAs may contribute to fiber development in cotton. This work describes a set of lncRNAs that are involved in fiber development. The characterization and expression analysis of lncRNAs will facilitate future studies on their roles in fiber development in cotton.展开更多
Sucrose synthase （Sus） is a key enzyme in plant sucrose metabolism. In cotton, Sus （EC 2.4.1.13） is the main enzyme that degrades sucrose imported into cotton fibers from the phloem of the seed coat. This study de...Sucrose synthase （Sus） is a key enzyme in plant sucrose metabolism. In cotton, Sus （EC 2.4.1.13） is the main enzyme that degrades sucrose imported into cotton fibers from the phloem of the seed coat. This study demonstrated that the genomes of Gossypium arboreum L., G. raimondii Ulbr., and G. hirsutum L., contained 8, 8, and 15 Sus genes, respectively. Their structural organizations, phylogenetic relationships, and expression profiles were characterized. Comparisons of genomic and coding sequences identified multiple introns, the number and positions of which were highly conserved between diploid and allotetraploid cotton species. Most of the phylogenetic clades contained sequences from all three species, suggesting that the Sus genes of tetraploid G. hirsutum derived from those of its diploid ancestors. One Sus group （Sus I） underwent expansion during cotton evolution. Expression analyses indicated that most Sus genes were differentially expressed in various tissues and had development-dependent expression profiles in cotton fiber cells. Members of the same orthologous group had very similar expression patterns in all three species. These results provide new insights into the evolution of the cotton Sus gene family, and insight into its members＇ physiological functions during fiber growth and development.展开更多
Background: Different production systems and climates could lead to genotype-by-environment(G × E) interactions between populations, and the inclusion of G × E interactions is becoming essential in breeding ...Background: Different production systems and climates could lead to genotype-by-environment(G × E) interactions between populations, and the inclusion of G × E interactions is becoming essential in breeding decisions. The objective of this study was to investigate the performance of multi-trait models in genomic prediction in a limited number of environments with G × E interactions.Results: In total, 2,688 and 1,384 individuals with growth and reproduction phenotypes, respectively, from two Yorkshire pig populations with similar genetic backgrounds were genotyped with the PorcineSNP80 panel.Single-and multi-trait models with genomic best linear unbiased prediction(GBLUP) and BayesC π were implemented to investigate their genomic prediction abilities with 20 replicates of five-fold cross-validation.Our results regarding between-environment genetic correlations of growth and reproductive traits(ranging from 0.618 to 0.723) indicated the existence of G × E interactions between these two Yorkshire pig populations. For single-trait models, genomic prediction with GBLUP was only 1.1% more accurate on average in the combined population than in single populations, and no significant improvements were obtained by BayesC π for most traits. In addition, single-trait models with either GBLUP or BayesC π produced greater bias for the combined population than for single populations. However, multi-trait models with GBLUP and BayesC π better accommodated G × E interactions,yielding 2.2% – 3.8% and 1.0% – 2.5% higher prediction accuracies for growth and reproductive traits, respectively,compared to those for single-trait models of single populations and the combined population. The multi-trait models also yielded lower bias and larger gains in the case of a small reference population. The smaller improvement in prediction accuracy and larger bias obtained by the single-trait models in the combined population was mainly due to the low consistency of linkage disequilibrium between the two populations, which also cause展开更多
Defects formed at the surface,buried interface and grain boundaries(GB)of CsPbI_(3)perovskite films considerably limit photovoltaic performance.Such defects could be passivated effectively by the most prevalent post m...Defects formed at the surface,buried interface and grain boundaries(GB)of CsPbI_(3)perovskite films considerably limit photovoltaic performance.Such defects could be passivated effectively by the most prevalent post modification strategy without compromising the photoelectric properties of perovskite films,but it is still a great challenge to make this strategy comprehensive to different defects spatially distributed throughout the films.Herein,a spatially selective defect management(SSDM)strategy is developed to roundly passivate various defects at different locations within the perovskite film by a facile one-step treatment procedure using a piperazine-1,4-diium tetrafluoroborate(PZD(BF_(4))_(2))solution.The small-size PZD^(2+)cations could penetrate into the film interior and even make it all the way to the buried interface of CsPbI_(3)perovskite films,while the BF_(4)^(-)anions,with largely different properties from I^(-)anions,mainly anchor on the film surface.Consequently,virtually all the defects at the surface,buried interface and grain boundaries of CsPbI_(3)perovskite films are effectively healed,leading to significantly improved film quality,enhanced phase stability,optimized energy level alignment and promoted carrier transport.With these films,the fabricated CsPbI_(3)PSCs based on carbon electrode(C-PSCs)achieve an efficiency of18.27%,which is among the highest-reported values for inorganic C-PSCs,and stability of 500 h at 85℃with 65%efficiency maintenance.展开更多
基金supported by the National Natural Science Foundation of China (grants 91540203 and 31788103 to X.C.,31771872 to X.S.)The National Key Research and Development Program of China (2016YFD0100904)+3 种基金the Genetically Modified Breeding Major Projects (grant no.2016ZX08009001 -005 to X.S.)the Key Research Program of Frontier Sciences Chinese Academy of Sciences (QYZDY-SSWSMC022 to X.C.)Strategic Priority Research Program of Chinese Academy of Sciences (XDB27030201 to X.C.)the State Key Laboratory of Plant Genomics.
文摘In plants,microRNA (miRNA) functions in the post-transcriptional repression of target mRNAs have been well explored.However,the mechanisms regulating the accumulation of miRNAs remain poorly under.stood.Here,we report that distinct mechanisms regulate accumulation of a monocot-specific miRNA,rice (Oryza sativa) miR528.At the transcriptional level,miR528 accumulated to higher levels in older plants than in young seedlings and exhibited aging-modulated gradual accumulation and diurnal rhythms in leaves;at the post-transcriptional level,aging also modulated miR528 levels by enhancing pri-miR528 alter.native splicing.We found that miR528 promotes rice flowering under long-day conditions by targeting RED AND FAR-RED INSENSITIVE2 (OsRFI2).Moreover,natural variations in the MIR528 promoter region caused differences in miR528 expression among rice varieties,which are correlated with their different binding affinities with the transcription factor OsSPL9 that activates the expression of miR528.Taken together,our findings reveal rice plants have evolved sophisticated modes fine-tuning miR528 levels and provide insight into the mechanisms that regulate MIRNA expression in plants.
基金the National Natural Science Foundation of China (31301369, 31271768, 31401425)
文摘Long noncoding RNAs （lncRNAs） play important roles in various biological regulatory processes in yeast, mammals, and plants. However, no systematic identification of lncRNAs has been reported in Gossypium arboreum. In this study, the strand-specific RNA sequencing （ssRNA-seq） of samples from cotton fibers and leaves was performed, and lncRNAs involved in fiber initiation and elongation processes were systematically identified and analyzed. We identified 5,996 lncRNAs, of which 3,510 and 2,486 can be classified as long intergenic noncoding RNAs （lincRNAs） and natural antisense transcripts （IncNAT）, respectively. LincRNAs and lncNATs are similar in many aspects, but have some differences in exon number, exon length, and transcript length. Expression analysis revealed that 51.9% of lincRNAs and 54.5% of lncNATs transcripts were preferentially expressed at one stage of fiber development, and were significantly highly expressed than protein-coding tran- scripts （21.7%）. During the fiber and rapid elongation stages, rapid and dynamic changes in lncRNAs may contribute to fiber development in cotton. This work describes a set of lncRNAs that are involved in fiber development. The characterization and expression analysis of lncRNAs will facilitate future studies on their roles in fiber development in cotton.
基金supported by grants from the National Hi-Tech R&D Program of China(2013AA102)the National Basic Research Program of China(2011CB111511)
文摘Sucrose synthase （Sus） is a key enzyme in plant sucrose metabolism. In cotton, Sus （EC 2.4.1.13） is the main enzyme that degrades sucrose imported into cotton fibers from the phloem of the seed coat. This study demonstrated that the genomes of Gossypium arboreum L., G. raimondii Ulbr., and G. hirsutum L., contained 8, 8, and 15 Sus genes, respectively. Their structural organizations, phylogenetic relationships, and expression profiles were characterized. Comparisons of genomic and coding sequences identified multiple introns, the number and positions of which were highly conserved between diploid and allotetraploid cotton species. Most of the phylogenetic clades contained sequences from all three species, suggesting that the Sus genes of tetraploid G. hirsutum derived from those of its diploid ancestors. One Sus group （Sus I） underwent expansion during cotton evolution. Expression analyses indicated that most Sus genes were differentially expressed in various tissues and had development-dependent expression profiles in cotton fiber cells. Members of the same orthologous group had very similar expression patterns in all three species. These results provide new insights into the evolution of the cotton Sus gene family, and insight into its members＇ physiological functions during fiber growth and development.
基金supported by grants from the earmarked fund for China Agriculture Research System (CARS-35)Modern Agriculture Science and Technology Key Project of Hebei Province (19226376D)+2 种基金the National Key Research and Development Project (SQ2019YFE00771)the National Natural Science Foundation of China (31671327)Major Project of Selection for New Livestock and Poultry Breeds of Zhejiang Province (2016C02054–5)。
文摘Background: Different production systems and climates could lead to genotype-by-environment(G × E) interactions between populations, and the inclusion of G × E interactions is becoming essential in breeding decisions. The objective of this study was to investigate the performance of multi-trait models in genomic prediction in a limited number of environments with G × E interactions.Results: In total, 2,688 and 1,384 individuals with growth and reproduction phenotypes, respectively, from two Yorkshire pig populations with similar genetic backgrounds were genotyped with the PorcineSNP80 panel.Single-and multi-trait models with genomic best linear unbiased prediction(GBLUP) and BayesC π were implemented to investigate their genomic prediction abilities with 20 replicates of five-fold cross-validation.Our results regarding between-environment genetic correlations of growth and reproductive traits(ranging from 0.618 to 0.723) indicated the existence of G × E interactions between these two Yorkshire pig populations. For single-trait models, genomic prediction with GBLUP was only 1.1% more accurate on average in the combined population than in single populations, and no significant improvements were obtained by BayesC π for most traits. In addition, single-trait models with either GBLUP or BayesC π produced greater bias for the combined population than for single populations. However, multi-trait models with GBLUP and BayesC π better accommodated G × E interactions,yielding 2.2% – 3.8% and 1.0% – 2.5% higher prediction accuracies for growth and reproductive traits, respectively,compared to those for single-trait models of single populations and the combined population. The multi-trait models also yielded lower bias and larger gains in the case of a small reference population. The smaller improvement in prediction accuracy and larger bias obtained by the single-trait models in the combined population was mainly due to the low consistency of linkage disequilibrium between the two populations, which also cause
基金supported by the National Natural Science Foundation of China(21875013,U2001217)the Beijing Natural Science Foundation(2182031)Shenzhen Basic Research(JCYJ20220818101018038)。
文摘Defects formed at the surface,buried interface and grain boundaries(GB)of CsPbI_(3)perovskite films considerably limit photovoltaic performance.Such defects could be passivated effectively by the most prevalent post modification strategy without compromising the photoelectric properties of perovskite films,but it is still a great challenge to make this strategy comprehensive to different defects spatially distributed throughout the films.Herein,a spatially selective defect management(SSDM)strategy is developed to roundly passivate various defects at different locations within the perovskite film by a facile one-step treatment procedure using a piperazine-1,4-diium tetrafluoroborate(PZD(BF_(4))_(2))solution.The small-size PZD^(2+)cations could penetrate into the film interior and even make it all the way to the buried interface of CsPbI_(3)perovskite films,while the BF_(4)^(-)anions,with largely different properties from I^(-)anions,mainly anchor on the film surface.Consequently,virtually all the defects at the surface,buried interface and grain boundaries of CsPbI_(3)perovskite films are effectively healed,leading to significantly improved film quality,enhanced phase stability,optimized energy level alignment and promoted carrier transport.With these films,the fabricated CsPbI_(3)PSCs based on carbon electrode(C-PSCs)achieve an efficiency of18.27%,which is among the highest-reported values for inorganic C-PSCs,and stability of 500 h at 85℃with 65%efficiency maintenance.
