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OsbZIP01 Affects Plant Growth and Development by Regulating OsSD1 in Rice

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Rice science 2024年第1期31卷 77-86,I0018,I0019页

作者： DONG Xinli ZHOU Yang ZHANG Yaqi RONG Fuxi DU Jiahong HONG Zheyuan HU Peisong lÜYusong College of Agriculture and Biotechnology Zhejiang UniversityHangzhou 310058China State Key laboratory of Rice Biology and breeding/China National Center for Rice Improvement China National Rice Research InstituteHangzhou 310006China

As the‘Green Revolution’gene,SD1(encoding GA20ox2),has been widely applied to improve yield in rice ***,research on its transcriptional regulation is ***,we identified a transcription factor OsbZIP01,which can suppress the expression of SD1 and regulate gibberellin(GA)biosynthesis in *** mutants of OsbZIP01 exhibited increased plant height,while the overexpression lines showed a semi-dwarf phenotype and diminished germination ***,the semi-dwarf phenotype of OE-bZIP01,was caused by the reduced internode length,which was accompanied by a thin stem *** predominant expression of OsbZIP01 was observed in leaves and ***01 protein was localized in the nucleus and showed transcriptional repression *** addition,OsbZIP01 could directly bind to the promoter of the OsSD1 gene,and inhibit its *** semi-dwarf phenotype of OE-bZIP01 could be rescued by exogenous GA_(3).Meanwhile,the bzip01 sd1 double mutant showed a shorter shoot length compared with the wild type,indicating that OsbZIP01 regulated plant growth mainly through the GA biosynthesis ***,OsbZIP01 negatively regulates GA biosynthesis by restraining SD1 transcription,thereby affecting plant growth and development.

关键词： OsbZIP01 SD1 gibberellin biosynthesis dwarf and germination

Consumer transparency in the production chain for plant varieties produced using new genomic techniques

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aBIOTECH 2024年第2期5卷 239-246页

作者： J.M.lukasiewicz C.C.M.van de Wiel l.A.P.lotz M.J.M.Smulders Wageningen University&Research P.O.Box 386NL-6700 AJ WageningenThe Netherlands

Plants edited with new genomic techniques(NGTs)currently fall under the Genetically Modified Organisms Directive(2001/18/EC)in the European *** the proposal of the European Commission,NGT plants are partially exempted from the regulations of this *** proposal makes a distinction between two categories of NGT plants:NGT-1 and ***-1 category plants are considered equal to plants obtained through conventional.breeding *** plants will not be labelled for the consumer,although they will be labelled as ***-2 category plants may be labelled with additional information as a positive *** of seeds of varieties made with gene editing,but not the products,would mean that most steps in the production chain are transparent,but not the last step towards ***“right to know”and increasing knowledge of gene-edited food is a common theme in food labelling towards ***,we describe current labelling regimes and registers and how these may be applied to provide transparency on gene-edited products to ***,we also look into consumer studies,which indicate a greater acceptance of gene-edited food among consumers,especially when additional benefits such as sustainability are mentioned.

关键词： labelling New genomic techniques Consumer transparency Plant products

Satellite-enabled enviromics to enhance crop improvement

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Molecular Plant 2024年第6期17卷 848-866页

作者： Rafael T.Resende lee Hickey Cibele H.Amaral lucas l.Peixoto Gustavo E.Marcatti Yunbi Xu Universidade Federal de Goia´s(UFG) Agronomy DepartmentPlant Breeding SectorGoiania(GO)74690-900Brazil TheCROP a Precision-Breeding Startup:EnviromicsPhenomicsand GenomicsNo Zip-codeOperating VirtuallyGoiania(GO)and Sete Lagoas(MG)Brazil Queensland Alliance for Agriculture and Food Innovation The University of QueenslandBrisbaneQLDAustralia Earth lab Cooperative Institute for Research in Environmental SciencesUniversity of Colorado BoulderBoulderCO 80303USA Environmental Data Science Innovation&Inclusion lab Cooperative Institute for Research in Environmental SciencesUniversity of Colorado BoulderBoulderCO 80303USA Universidade Federal de Sa˜o Joa˜o del-Rei Forest Engineering DepartmentCampus Sete LagoasSete Lagoas(MG)35701-970Brazil Institute of Crop Sciences Chinese Academy of Agricultural SciencesBeijing 100081China Peking University Institute of Advanced Agricultural Sciences WeifangShandong 261325China BGI Bioverse Shenzhen 518083China

Enviromics refers to the characterization of micro-and macroenvironments based on large-scale environmental *** providing genotypic recommendations with predictive extrapolation at a site-specific level,enviromics could inform plant breeding decisions across varying conditions and anticipate productivity in a changing ***-based integration of statistics,envirotyping(i.e.,determining environmental factors),and remote sensing could help unravel the complex interplay of genetics,environment,and *** support this goal,exhaustive envirotyping to generate precise environmental profiles would significantly improve predictions of genotype performance and genetic gain in ***,informatics management platforms aggregate diverse environmental datasets obtained using optical,thermal,radar,and light detection and ranging(liDAR)sensors that capture detailed information about vegetation,surface structure,and *** wealth of information,coupled with freely available climate data,fuels innovative enviromics *** enviromics holds immense potential for breeding,a few obstacles remain,such as the need for(1)integrative methodologies to systematically collect field data to scale and expand observations across the landscape with satellite data;(2)state-of-the-art AI models for data integration,simulation,and prediction;(3)cyberinfrastructure for processing big data across scales and providing seamless interfaces to deliver forecasts to stakeholders;and(4)collaboration and data sharing among farmers,breeders,physiologists,geoinformatics experts,and programmers across research *** these challenges is essential for leveraging the full potential of big data captured by satellites to transform 21st century agriculture and crop improvement through enviromics.

关键词： envirotyping precision breeding genotype-environment interactions remote sensing predictive models enviromic information

Assessment of molecular markers and marker-assisted selection for drought tolerance in barley(Hordeum vulgare l.)

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Journal of Integrative Agriculture 2024年第1期23卷 20-38页

作者： Akmaral Baidyussen Gulmira Khassanova Maral Utebayev Satyvaldy Jatayev Rystay Kushanova Sholpan Khalbayeva Aigul Amangeldiyeva Raushan Yerzhebayeva KulpashBulatova Carly Schramm Peter Anderson Colin l.D.Jenkins Kathleen lSoole Yuri Shavrukov Faculty of Agronomy S.Seifullin Kazakh AgroTechnical Research UniversityAstana 010000Kazakhstan A.I.Barayev Research and Production Centre of Grain Farming Shortandy 021601Kazakhstan Kazakh Research Institute of Agriculture and Plant Growing AlmalybakAlmaty District 040909Kazakhstan College of Science and Engineering Biological SciencesFlinders UniversityAdelaideSA 5042Australia

This review updates the present status of the field of molecular markers and marker-assisted selection(MAS),using the example of drought tolerance in *** accuracy of selected quantitative trait loci(QTls),candidate genes and suggested markers was assessed in the barley genome *** common strategies are described for molecular marker development,candidate gene identification and verification,and their possible applications in MAS to improve the grain yield and yield components in barley under drought *** strategies are based on the following five principles:(1)Molecular markers are designated as genomic‘tags’,and their‘prediction’is strongly dependent on their distance from a candidate gene on genetic or physical maps;(2)plants react differently under favourable and stressful conditions or depending on their stage of development;(3)each candidate gene must be verified by confirming its expression in the relevant conditions,e.g.,drought;(4)the molecular marker identified must be validated for MAS for tolerance to drought stress and improved grain yield;and(5)the small number of molecular markers realized for MAS in breeding,from among the many studies targeting candidate genes,can be explained by the complex nature of drought stress,and multiple stress-responsive genes in each barley genotype that are expressed differentially depending on many other factors.

关键词： barley candidate genes drought tolerance gene verification via expression grain yield marker-assisted selection(MAS) molecular markers quantitative trait loci(QTls) strategy for MAS

Population genomic analysis reveals key genetic variations and the driving force for embryonic callus induction capability in maize

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Journal of Integrative Agriculture 2024年第7期23卷 2178-2195页

作者： Peng liu langlang Ma Siyi Jian Yao He Guangsheng Yuan Fei Ge Zhong Chen Chaoying Zou Guangtang Pan Thomas lübberstedt Yaou Shen State Key laboratory of Crop Gene Exploration and Utilization in Southwest China/Maize Research Institute Sichuan Agricultural UniversityChengdu 611130China Department of Agronomy Iowa State UniversityAmesIA 50011USA

Genetic transformation has been an effective technology for improving the agronomic traits of ***,it is highly reliant on the use of embryonic callus(EC)and shows a serious genotype *** this study,we performed genomic sequencing for 80 core maize germplasms and constructed a high-density genomic variation map using our newly developed pipeline(MQ2Gpipe).Based on the induction rate of EC(REC),these inbred lines were categorized into three *** low-REC germplasms displayed more abundant genetic diversity than the high-REC *** integrating a genome-wide selective signature screen and region-based association analysis,we revealed 95.23 Mb of selective regions and 43 REC-associated *** variants had phenotypic variance explained values ranging between 21.46 and 49.46%.In total,103 candidate genes were identified within the linkage disequilibrium regions of these REC-associated *** genes mainly participate in regulation of the cell cycle,regulation of cytokinesis,and other functions,among which MYB15 and EMB2745 were located within the previously reported QTl for EC *** leaf area-associated variants with large effects were closely linked to several REC-related loci,implying a potential synergistic selection of REC and leaf size during modern maize breeding.

关键词： maize genetic transformation embryonic callus selective signal association analysis

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不同产区杉木生物量与碳储量模型

林业科学 2024年第2期60卷 1-11页

作者：吕梓晴段爱国林木资源高效生产全国重点实验室、国家林业和草原局林木培育重点实验室、中国林业科学研究院林业研究所北京100091 南京林业大学南方现代林业协同创新中心南京210037

【目的】建立适用于不同产区的杉木人工林生物量和碳储量模型,以便准确估算杉木人工林生物量和碳储量。【方法】基于四川、广西、江西和福建共109株杉木的树干、树皮、枝、叶和根实测生物量数据以及四川、广西和福建共40株杉木的树干、... 详细信息

【目的】建立适用于不同产区的杉木人工林生物量和碳储量模型,以便准确估算杉木人工林生物量和碳储量。【方法】基于四川、广西、江西和福建共109株杉木的树干、树皮、枝、叶和根实测生物量数据以及四川、广西和福建共40株杉木的树干、枝、叶和根的含碳量实测数据,建立不同产区、不同林龄和综合产区成熟林的可加性生物量、碳储量模型。采用似乎不相关回归(SUR)对可加性模型系统中的参数进行联合估计,并用调整后确定系数R^(2)_(a)和总相对误差TRE检验模型拟合精度。【结果】1)4个产区和不同林龄杉木生物量模型的R^(2)_(a)为0.6350~0.9958,TRE为−17.88%~21.39%,树干、树皮和全株生物量模型的R^(2)_(a)均在0.91以上,适用于建模地的杉木人工林生物量预测。广西分侧根拟合的生物量模型除一级侧根外,R^(2)_(a)均在0.80以上,TRE为−5.42%~7.21%,可用于预测广西杉木人工林侧根生物量。枝、叶、根的生物量模型拟合精度较干、树皮低。2)四川、广西和福建3个产区碳储量模型R^(2)_(a)为0.8050~0.9940,TRE为−19.34%~19.84%,树干、根和全株模型R^(2)_(a)在0.93以上,适用于各地区杉木人工林碳储量预测。枝、叶的碳储量模型拟合精度较干和根低。3)不同产区的生物量、碳储量模型通用性存在地域差异,位于中亚热带西区的四川生物量模型通用性最差,位于南亚热带的广西带皮干和全株生物量模型通用性较好,位于中亚热带东区的福建和江西生物量模型可进行相互预测;南亚热带广西的碳储量模型通用性最好,而四川和福建的碳储量模型仅适用于本地碳储量预测。4)综合生物量模型R^(2)_(a)为0.7335~0.9669,根据交互检验结果,综合模型可准确估算不同产区成熟林和福建幼龄林、中龄林的带皮干和全株生物量,TRE为−10.47%~19.88%;还可对江西和福建成熟林及福建中龄林除枝以外的各器官和全株生物量进行准确预测;综合碳储量模型R^(2)_(a)为0.8029~0.9826,除对广西杉木人工林枝碳储量的预测误差相对较大以外,其他检验样本TRE为−9.57%~15.70%,说明模型的通用性好,可准确预测不同产区的杉木人工林各器官和全株碳储量。【结论】本研究所建立的模型均适用于建模地生物量和碳储量的预测;模型的通用性受产区差异的影响;综合模型可用于不同地区生物量和碳储量的预测。

关键词：杉木人工林生物量碳储量不同产区可加性模型

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农作物种子生产企业财务预算与成本控制问题探析

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分子植物育种 2024年第2期22卷 692-696页

作者：吕航山西铁道职业技术学院太原030013

随着农业现代化和科技进步,农作物种子生产企业在财务预算和成本控制方面遭遇新的机遇和挑战。本研究深入分析了该领域的现状,探讨了数字化技术如何使财务预算更加精准,并如何通过绿色和可持续的观点来全面分析成本效益。同时,考虑到研... 详细信息

随着农业现代化和科技进步,农作物种子生产企业在财务预算和成本控制方面遭遇新的机遇和挑战。本研究深入分析了该领域的现状,探讨了数字化技术如何使财务预算更加精准,并如何通过绿色和可持续的观点来全面分析成本效益。同时,考虑到研究的局限性,提出了更为深入的田野调查和与企业合作的建议。此外,本研究还对未来的研究方向提供了建议,特别是在数字化技术的应用和绿色、可持续的理念在财务预算与成本控制中的融入。

关键词：财务预算成本控制农作物种子生产数字化技术绿色和可持续发展

Genomic selection in plant breeding:Key factors shaping two decades of progress

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Molecular Plant 2024年第4期17卷 552-578页

作者： Admas Alemu Johanna Astrand Osval A.Montesinos-lópez Julio Isidro y Sanchez Javier Fernandez-Gónzalez Wuletaw Tadesse Ramesh R.Vetukuri Anders S.Carlsson Alf Ceplitis JoséCrossa Rodomiro Ortiz Aakash Chawade Department of Plant breeding Swedish University of Agricultural SciencesAlnarpSweden lantmannen lantbruk SvalövSweden Facultad de Telematica University de ColimaColimaColima 28040Mexico Centro de Biotecnología y Genómica de Plantas(CBGP UPM-INIA)Universidad Politécnica de Madrid(UPM)-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria(INIA)Campus de Montegancedo-UPM28223 MadridSpain International Center for Agricultural Research in the Dry Areas(ICARDA) RabatMorocco International Maize and Wheat Improvement Center(CIMMYT) Km 45Carretera México-VeracruzTexcocoMéxico 52640Mexico

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 *** article provides a holistic overview of key factors that have influenced GP in plant breeding during this *** delved into the pivotal roles of training population size and genetic diversity,and their relationship with the breeding population,in determining GP *** emphasis was placed on optimizing training population *** explored its benefits and the associated diminishing returns beyond an optimum *** was done while considering the balance between resource allocation and maximizing prediction accuracy through current optimization *** density and distribution of single-nucleotide polymorphisms,level of linkage disequilibrium,genetic complexity,trait heritability,statistical machine-learning methods,and non-additive effects are the other vital *** wheat,maize,and potato as examples,we summarize the effect of these factors on the accuracy of GP for various *** 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 *** 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.

关键词： genomic selection genetic gain genomic prediction optimization deep learning training population optimization

MMP-9 deficiency accelerates the progress of periodontitis

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Genes & Diseases 2024年第5期11卷 117-121页

作者： Chun-Yan Wan Yixin Yin Xiaoyan li Meng Meng liu Graham Goldman li-An Wu Feng Wang Dao-Shu luo Zhuo Chen Wen-An Xu Stephen Chen Mary MacDougall Merry l.lindsey Zhi Chen Shuo Chen Department of Endodontics The Affiliated Hospital of Qingdao UniversitySchool of StomatologyQingdao UniversityQingdaoShandong 266003China Department of Developmental Dentistry School of DentistryThe University of Texas Health Science Center at San AntonioSan AntonioTX 78229USA Oral Implantology Center Jinan Stomatological HospitalJinanShandong 250001China Department of Endodontics School and Hospital of StomatologyCheeloo College of MedicineShandong Key Laboratory of Oral Tissue RegenerationShandong Engineering Laboratory for Dental Materials and Oral Tissue RegenerationShandong UniversityJinanShandong 250012China Department of Pediatric Dentistry School of StomatologyThe Fourth Military Medical UniversityXi’anShaanxi 710032China laboratory of Clinical Applied Anatomy Department of Human AnatomySchool of Basic Medical SciencesFujian Medical UniversityFuzhouFujian 350108China Key laboratory for Oral Biomedical Research of Zhejiang Province Affiliated Hospital of StomatologyMedical CollegeZhejiang UniversityHangzhouZhejiang 310027China Department of Stomatology Nanfang HospitalSouthern Medical UniversityGuangzhouGuangdong 510515China UBC Faculty of Dentistry University of British ColumbiaVancouverBC V6T 1Z3Canada School of Graduate Studies and Research Meharry Medical College and Research BiologistResearch Service Nashville VA Medical CenterNashvilleTN 37208USA State Key laboratory breeding Base of Basic Science of Stomatology(Hubei-MOST) Key Laboratory for Oral Biomedicine of Ministry of Education(KLOBM)School and Hospital of StomatologyWuhan UniversityWuhanHubei 430079China

Periodontitis is a chronic inflammatory disease caused by periodontopathic bacteria that affects periodontal support tissues.1 If left untreated,it results in loss of periodontal attachment and alveolar bone *** one-half of adults in the United States older than 30 years have periodontal disease.2 Though the disease is initiated by bacterial infection,it activates host defense systems that eventually lead to the degradation of the *** periodontitis,the disease progress involves further production of pro-inflammatory mediators such as cytokines,proteolytic enzymes like matrix metalloproteinases(MMPs),and their inhibitors.

关键词： period eventually untreated