RoL: FELS: EAGER: Mining for ancient toolkits: Emergence of planar structures across kingdoms

RoL:FELS:渴望:古代工具包的开采:各个王国平面结构的出现

基本信息

  • 批准号:
    1838291
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-11-01 至 2024-09-30
  • 项目状态:
    已结题

项目摘要

Both Animal and Plant Kingdoms have evolved flat lateral (planar) appendages, for example, wings and leaves. Despite the lack of obvious functional similarity, planar structures in animals and plants may result from the merging of dorsal and ventral tissues, each of which is defined by different gene regulatory networks. This study will carry out a series of comparative gene expression analyses across homologous and analogous organs within Classes and across Kingdoms in order to determine whether there are shared, and perhaps universal, gene expression networks regulating the development of planar appendages. The data and insights may enable the development of new fundamental concepts in biology. This project will also enhance student learning in undergraduate and graduate courses and provide opportunities for participating undergraduate students to develop their critical thinking. Due to its location and university mission, Wayne State has a deep commitment to encouraging underrepresented and first-generation college students to explore careers in science and to develop a deep appreciation of science with respect to our national welfare. Studies of multiple organisms demonstrate that although dorsal/ventral (adaxial/abaxial) gene regulatory networks (GRNs) are necessary for planar structures, they are not sufficient. This fact suggests that there must be additional, presently undefined, emergent GRNs that are required for planar development. The experimental design is based on comparative transcriptome analyses between planar and non-planar homologous organs and planar and non-planar non-homologous, analogous organs in selected lineages of angiosperms and arthropods. These comparative analyses will seek to detect regulatory modules at different levels and help identify shared and perhaps universal toolboxes governing the development of planar structures. Data from RNAseq libraries will be mapped to de novo assemblies to quantify expression, and to determine gene functional identities. Expression counts of genes will be comprehensively analyzed to identify functional co-expression gene networks. Finally, detailed biological patterning across Classes and Kingdoms will be performed through analysis of protein domains within networks to detect deep overlapping regulatory modules.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
动物和植物王国都进化出了扁平的侧面(平面)附属物,例如翅膀和叶子。尽管缺乏明显的功能相似性,但动物和植物的平面结构可能是由背侧和腹侧组织的融合产生的,每个组织都由不同的基因调控网络定义。 这项研究将对类内和界内的同源和类似器官进行一系列比较基因表达分析,以确定是否存在共享的、也许是普遍的调节平面附属物发育的基因表达网络。这些数据和见解可能有助于生物学中新的基本概念的发展。该项目还将加强学生在本科生和研究生课程中的学习,并为参与的本科生提供发展批判性思维的机会。由于其地理位置和大学使命,韦恩州立大学坚定地致力于鼓励代表性不足的第一代大学生探索科学事业,并培养对科学的深刻理解,尊重我们的国家福祉。对多种生物体的研究表明,虽然背侧/腹侧(近轴/远轴)基因调控网络(GRN)对于平面结构是必要的,但它们还不够。这一事实表明,必须存在平面发展所需的额外的、目前尚未定义的新兴GRN。实验设计基于被子植物和节肢动物选定谱系中平面和非平面同源器官以及平面和非平面非同源类似器官之间的比较转录组分析。 这些比较分析将寻求检测不同级别的监管模块,并帮助确定管理平面结构发展的共享且可能通用的工具箱。 来自 RNAseq 文库的数据将被映射到从头组装以量化表达并确定基因功能身份。将全面分析基因的表达计数,以确定功能性共表达基因网络。 最后,将通过分析网络内的蛋白质域来执行跨类别和王国的详细生物模式,以检测深度重叠的监管模块。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查进行评估,被认为值得支持标准。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Aleksandar Popadic其他文献

Risk factors for early turnover among new employees
新员工提前离职的风险因素
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yuji Matsuoka;Tetsuya Bando;Takahito Watanabe;Yoshiyasu Ishimaru;Sumihare Noji;Aleksandar Popadic;Taro Mito;Shin Harada
  • 通讯作者:
    Shin Harada

Aleksandar Popadic的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Aleksandar Popadic', 18)}}的其他基金

NSF/Sloan Foundation Postdoctoral Research Fellowship in Molecular Evolution
NSF/斯隆基金会分子进化博士后研究奖学金
  • 批准号:
    9626053
  • 财政年份:
    1997
  • 资助金额:
    $ 30万
  • 项目类别:
    Fellowship Award

相似海外基金

RoL: FELS: EAGER Rules for cellular adaptation to the mechanical properties of their environment
RoL:FELS:细胞适应环境机械特性的 EAGER 规则
  • 批准号:
    2054796
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
RoL: FELS: EAGER: Landscape Phenomics: Predicting vulnerability to climate variation by linking environmental heterogeneity to genetic and phenotypic variation
RoL:FELS:EAGER:景观表型组学:通过将环境异质性与遗传和表型变异联系起来预测气候变化的脆弱性
  • 批准号:
    1838282
  • 财政年份:
    2018
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
RoL: FELS: EAGER: Genetic Constraints on the Increase of Organismal Complexity Over Time
RoL:FELS:EAGER:随着时间的推移,生物体复杂性增加的遗传限制
  • 批准号:
    1838307
  • 财政年份:
    2018
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
RoL: FELS: EAGER: Metabolic asymmetry: An energetic rule for linking biology across scales
RoL:FELS:EAGER:代谢不对称:跨尺度联系生物学的能量规则
  • 批准号:
    1838346
  • 财政年份:
    2018
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: RoL: FELS: EAGER: Determining the Interplay of Long- and Short-Range Interactions in Emergent Biological Collective Behavior
合作研究:RoL:FELS:EAGER:确定新兴生物集体行为中长程和短程相互作用的相互作用
  • 批准号:
    1838341
  • 财政年份:
    2018
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了