Collaborative Research: Fitness effects of loss-of-function mutations in duplicate genes
合作研究:重复基因功能丧失突变的适应性影响
基本信息
- 批准号:1655386
- 负责人:
- 金额:$ 59.4万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-04-01 至 2023-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The goal of this project is to understand the effects of mutations when genes have duplicated copies. Mutations in DNA can lead to duplication where a stretch of a DNA sequence is copied. In these situations both gene copies will be maintained only if they both contribute to the fitness of an individual by evolving to have different functions. Thus, it is expected that a mutation of one gene copy that eliminates its function will reduce fitness. Contrary to this expectation, effects of such mutation appear to indicate that duplicate genes share the same function. This project will explore this contradiction by looking at the effects of mutations in duplicated genes in the model plant, Arabidopsis thaliana. The fitness effects of these mutations will be measured and combined with existing data to predict the degree of redundancy between duplicate genes. Ultimately, this knowledge is essential for deciphering how duplicate genes contribute to disease as well as novel traits that are important in medical science, agriculture and in generating new species. The project will also train several undergraduate and graduate students and provide outreach to the general public.Because overestimates of genetic redundancy present a major challenge in understanding why duplicate genes are retained, more accurate measures of genetic redundancy between duplicate genes are necessary. In this proposal, lifetime fitness differences between single mutants (with mutations in each duplicate), double mutants (mutations in both duplicates), and wild type plants will be compared in the growth chamber and in the field for 240 pairs of A. thaliana duplicate genes. The resulting fitness data will be integrated with data from large-scale molecular functional studies, comparative genomic data, and existing phenotype information to establish statistical models that can predict genetic redundancy of any duplicate gene pair. The proposed work will advance evolutionary genetic studies of duplicate genes by producing more accurate, fitness-based measures of genetic redundancy. These measures are essential for estimating the strength of purifying selection acting on each duplicate copy, which in turn is central for understanding why duplicate genes persist. In addition to lifetime fitness, multiplicative fitness components will be estimated to help identify the selective agents underlying retention. The proposed research will also allow the assessment of how single and double mutants of duplicate genes differ in their fitness effects (additivity, antagonistic or synergistic epistasis) and if the fitness effects are greater in more stressful field environments. The project will also lead to a novel, quantitative model of genetic redundancy that will integrate fitness, phenotype, comparative/functional genomics data that to date have been mostly studied in isolation. The model will allow prediction of genetic redundancy genome-wide and is expected to be applicable across a broad range of taxa, including non-model organisms. Finally, because heterogeneous molecular data relevant to gene functions will be integrated, the model will also provide insight into the mechanisms leading to redundancy between duplicate genes.
该项目的目标是了解基因复制时突变的影响。DNA中的突变可以导致复制,其中一段DNA序列被复制。在这些情况下,只有当两个基因拷贝都通过进化具有不同的功能而对个体的适应性做出贡献时,它们才能被维持。因此,预期一个基因拷贝的突变消除其功能将降低适应性。与这种预期相反,这种突变的影响似乎表明重复基因具有相同的功能。这个项目将通过观察模式植物拟南芥中重复基因突变的影响来探索这种矛盾。这些突变的适应性效应将被测量并与现有数据相结合,以预测重复基因之间的冗余程度。最终,这些知识对于破译重复基因如何导致疾病以及在医学,农业和产生新物种中重要的新特征至关重要。该项目还将培训几名本科生和研究生,并向公众提供外展服务。由于对遗传冗余的过高估计是理解为什么保留重复基因的一个主要挑战,因此有必要对重复基因之间的遗传冗余进行更准确的测量。在该提议中,将在生长室和田间对240对A.拟南芥复制基因。由此产生的适应度数据将与来自大规模分子功能研究、比较基因组数据和现有表型信息的数据相结合,以建立可以预测任何重复基因对的遗传冗余的统计模型。拟议的工作将通过产生更准确的,基于适应度的遗传冗余措施来推进重复基因的进化遗传学研究。这些措施是必不可少的估计净化选择的强度作用于每个重复的副本,这反过来又是理解为什么重复基因持续存在的核心。除了终身健身,乘法健身组件将被估计,以帮助确定潜在的保留选择剂。拟议的研究还将允许评估重复基因的单突变体和双突变体在其适应性效应(加和性,拮抗性或协同上位性)方面的差异,以及适应性效应在更紧张的田间环境中是否更大。该项目还将导致一种新的遗传冗余的定量模型,该模型将整合健身,表型,比较/功能基因组学数据,迄今为止,这些数据主要是孤立研究的。该模型将允许预测全基因组的遗传冗余,预计将适用于广泛的分类群,包括非模式生物。最后,由于与基因功能相关的异质分子数据将被整合,该模型还将提供对导致重复基因之间冗余的机制的深入了解。
项目成果
期刊论文数量(36)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Maize ANT1 modulates vascular development, chloroplast development, photosynthesis, and plant growth
- DOI:10.1073/pnas.2012245117
- 发表时间:2020-09-01
- 期刊:
- 影响因子:11.1
- 作者:Liu, Wen-Yu;Lin, Hsin-Hung;Li, Wen-Hsiung
- 通讯作者:Li, Wen-Hsiung
Contrasting transcriptional responses to Fusarium virguliforme colonization in symptomatic and asymptomatic hosts.
- DOI:10.1093/plcell/koaa021
- 发表时间:2021-04-17
- 期刊:
- 影响因子:0
- 作者:Baetsen-Young A;Chen H;Shiu SH;Day B
- 通讯作者:Day B
The SEEL motif and members of the MYB-related REVEILLE transcription factor family are important for the expression of LORELEI in the synergid cells of the Arabidopsis female gametophyte
- DOI:10.1007/s00497-021-00432-1
- 发表时间:2021-10-29
- 期刊:
- 影响因子:3.4
- 作者:Noble, Jennifer A.;Seddon, Alex;Palanivelu, Ravishankar
- 通讯作者:Palanivelu, Ravishankar
Expression and regulatory asymmetry of retained Arabidopsis thaliana transcription factor genes derived from whole genome duplication
全基因组复制保留的拟南芥转录因子基因的表达和调控不对称性
- DOI:10.1186/s12862-019-1398-z
- 发表时间:2019
- 期刊:
- 影响因子:3.4
- 作者:Panchy, Nicholas L.;Azodi, Christina B.;Winship, Eamon F.;O’Malley, Ronan C.;Shiu, Shin-Han
- 通讯作者:Shiu, Shin-Han
Regulatory Divergence in Wound-Responsive Gene Expression between Domesticated and Wild Tomato
- DOI:10.1105/tpc.18.00194
- 发表时间:2018-07-01
- 期刊:
- 影响因子:11.6
- 作者:Liu, Ming-Jung;Sugimoto, Koichi;Shiu, Shin-Han
- 通讯作者:Shiu, Shin-Han
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Shin-Han Shiu其他文献
Machine learning reveals genes impacting oxidative stress resistance across yeasts
机器学习揭示了影响酵母氧化应激抗性的基因
- DOI:
10.1038/s41467-025-60189-3 - 发表时间:
2025-07-01 - 期刊:
- 影响因子:15.700
- 作者:
Katarina Aranguiz;Linda C. Horianopoulos;Logan Elkin;Kenia Segura Abá;Drew Jordahl;Katherine A. Overmyer;Russell L. Wrobel;Joshua J. Coon;Shin-Han Shiu;Antonis Rokas;Chris Todd Hittinger - 通讯作者:
Chris Todd Hittinger
Selection-enriched genomic loci (SEGL) reveals genetic loci for environmental adaptation and photosynthetic productivity in emChlamydomonas reinhardtii/em
选择富集基因组位点(SEGL)揭示了莱茵衣藻环境适应和光合生产力的遗传位点
- DOI:
10.1016/j.algal.2022.102709 - 发表时间:
2022-05-01 - 期刊:
- 影响因子:4.500
- 作者:
Ben F. Lucker;Joshua A. Temple;Nicolas L. Panchy;Urs F. Benning;Jacob D. Bibik;Peter G. Neofotis;Joseph C. Weissman;Ivan R. Baxter;Shin-Han Shiu;David M. Kramer - 通讯作者:
David M. Kramer
CLAVATA signalling shapes barley inflorescence by controlling activity and determinacy of shoot meristem and rachilla
CLAVATA 信号通过控制茎尖分生组织和小穗轴的活性和确定性来塑造大麦花序。
- DOI:
10.1038/s41467-025-59330-z - 发表时间:
2025-04-26 - 期刊:
- 影响因子:15.700
- 作者:
Isaia Vardanega;Jan Eric Maika;Edgar Demesa-Arevalo;Tianyu Lan;Gwendolyn K. Kirschner;Jafargholi Imani;Ivan F. Acosta;Katarzyna Makowska;Götz Hensel;Thilanka Ranaweera;Shin-Han Shiu;Thorsten Schnurbusch;Maria von Korff;Rüdiger Simon - 通讯作者:
Rüdiger Simon
PTEMD: a novel method for identifyingpolymorphic transposable elements via scanning of high-throughput short reads
PTEMD:一种通过扫描高通量短读段来识别多态性转座元件的新方法
- DOI:
- 发表时间:
- 期刊:
- 影响因子:4.1
- 作者:
Stephen Obol Opiyo;Ning Jiang;Shin-Han Shiu;Guo-Liang Wang - 通讯作者:
Guo-Liang Wang
Computational prediction of plant metabolic pathways
- DOI:
10.1016/j.pbi.2021.102171 - 发表时间:
2022-04-01 - 期刊:
- 影响因子:7.500
- 作者:
Peipei Wang;Ally M. Schumacher;Shin-Han Shiu - 通讯作者:
Shin-Han Shiu
Shin-Han Shiu的其他文献
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{{ truncateString('Shin-Han Shiu', 18)}}的其他基金
RESEARCH-PGR: Combining machine learning and experimental analysis to define trichome and root-specific gene regulatory networks in cultivated tomato and related Solanaceae species
RESEARCH-PGR:结合机器学习和实验分析来定义栽培番茄和相关茄科物种中的毛状体和根特异性基因调控网络
- 批准号:
2218206 - 财政年份:2023
- 资助金额:
$ 59.4万 - 项目类别:
Standard Grant
Collaborative Research: Assessing the connections between genetic interactions, environments, and phenotypes in Arabidopsis thaliana
合作研究:评估拟南芥遗传相互作用、环境和表型之间的联系
- 批准号:
2210431 - 财政年份:2022
- 资助金额:
$ 59.4万 - 项目类别:
Standard Grant
TRTech-PGR: Connecting sequences to functions within and between species through computational modeling and experimental studies
TRTech-PGR:通过计算模型和实验研究将序列与物种内部和物种之间的功能连接起来
- 批准号:
2107215 - 财政年份:2021
- 资助金额:
$ 59.4万 - 项目类别:
Standard Grant
NRT-HDR: Intersecting computational and data science to address grand challenges in plant biology
NRT-HDR:交叉计算和数据科学以应对植物生物学的巨大挑战
- 批准号:
1828149 - 财政年份:2018
- 资助金额:
$ 59.4万 - 项目类别:
Standard Grant
Computational and Experimental Studies of Plastid Functional Networks
质体功能网络的计算和实验研究
- 批准号:
1119778 - 财政年份:2011
- 资助金额:
$ 59.4万 - 项目类别:
Continuing Grant
Experimental Characterization of Novel Coding Small ORFs in the Arabidopsis thaliana Genome
拟南芥基因组中新编码小 ORF 的实验表征
- 批准号:
0749634 - 财政年份:2008
- 资助金额:
$ 59.4万 - 项目类别:
Standard Grant
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- 项目类别:面上项目
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