预测突变负担的模式在19778个化的大麦增殖中保存了ex situ
1Plant Gene Resources of Canada, Saskatoon Research and Development Centre, Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK S7N 0X2, Canada.
International journal of molecular sciences
|June 19, 2024
概括
保存的大麦生殖质含有许多有害突变,其中大多数是罕见的. 突变负担因种类而异,这表明植物遗传资源管理存在风险.
科学领域:
- 遗传学 是一个遗传学.
- 农业学是一种农业学.
- 保护生物学 保护生物学
背景情况:
- 全球植物生殖质保护在管理遗传完整性方面面临挑战.
- 在保存加入中有害突变的积累和影响尚不清楚.
- 大麦 (Hordeum vulgare L.) 是一个重要的全球作物,需要有效的生殖质管理.
研究的目的:
- 预测突变负担在现场保存的大麦加入.
- 为了确定有害等位基因的流行和分布.
- 评估与保存植物生殖质相关的遗传风险.
主要方法:
- 利用已公布的19778个养大麦加入的基因组数据.
- 开发了针对样本智能的突变负担的预测模型.
- 分析了加入之间的等位基因频率和遗传差异.
主要成果:
- 在保存的大麦生殖质中发现了407种有害突变.
- 发现82%的有害等位基因存在于0.1%或更少的加入中.
- 根据生殖质类型 (陆地品种,冬季,六行) 和地理位置,揭示了突变负担的显著差异.
- 观察到突变负担和遗传多样性之间的正相关性.
结论:
- 保存的大麦收藏中存在大量的罕见有害突变.
- 在不同的大麦群体中,突变负担有很大差异,影响了保护策略.
- 这些发现对于知情的大麦生殖质管理,利用和了解植物保护中的遗传风险至关重要.
更多相关视频
11:08Combining Magnetic Sorting of Mother Cells and Fluctuation Tests to Analyze Genome Instability During Mitotic Cell Aging in Saccharomyces cerevisiae
Published on: October 16, 2014
12.5K
09:04Studying Ribonucleotide Incorporation: Strand-specific Detection of Ribonucleotides in the Yeast Genome and Measuring Ribonucleotide-induced Mutagenesis
Published on: July 26, 2018
7.8K
相关概念视频
Mismatch Repair
4.8K
Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
4.8K
Gene Flow
35.0K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
35.0K
Hardy-Weinberg Principle
72.1K
Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
72.1K
Mutation, Gene Flow, and Genetic Drift
58.3K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
58.3K
