Changes in DNA methylation are associated with heterogeneous cytoplasm suppression of the multi-ovary gene in wheat (Triticum aestivum)

2018 ◽  
Vol 69 (4) ◽  
pp. 354 ◽  
Author(s):  
Jialin Guo ◽  
Gaisheng Zhang ◽  
Huali Tang ◽  
Yulong Song ◽  
Shoucai Ma ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Triticum Aestivum ◽  
Common Wheat ◽  
Methylation Status ◽  
Dominant Gene ◽  
Triticum Aestivum L ◽  
Genome Wide ◽  
Changing Patterns ◽  
Underlying Mechanisms ◽  
The Relationship

Variety DUOII is a multi-ovary line of common wheat (Triticum aestivum L.) that has two or three pistils and three stamens. The multi-ovary trait is controlled by a dominant gene, the expression of which can be suppressed by the special heterogeneous cytoplasm of line TeZhiI (TZI). TZI has the nucleus of common wheat and the cytoplasm of Aegilops. DUOII (♀) × TZI (♂) shows the multi-ovary trait, whereas TZI (♀) × DUOII (♂) shows the mono-ovary trait. DNA methylation affects gene expression and plays a crucial role in organ and tissue differentiation. In order to study the relationship between DNA methylation and the suppression of the multi-ovary gene, we used methylation-sensitive amplification polymorphisms (MSAP) to assess the DNA methylation status of the reciprocal crosses. Genome-wide, 14 584 CCGG sites were detected and the overall methylation levels were 31.10% and 30.76% in the respective crosses DUOII × TZI and TZI × DUOII. Compared with DUOII × TZI, TZI × DUOII showed 672 sites (4.61%) in which methylation–demethylation processes occurred. The results showed that the special heterogeneous cytoplasm significantly changed DNA methylation, and this might have suppressed the multi-ovary gene. The results provide insight into the changing patterns of DNA methylation in the suppression of the multi-ovary gene, and provide essential background for further studies on the underlying mechanisms of heterogeneous cytoplasm suppression of the expression of the multi-ovary gene in wheat.

Genome‐wide association study reveals loci associated with seed longevity in common wheat ( Triticum aestivum L.)

2019 ◽  
Vol 139 (2) ◽  
pp. 295-303 ◽  
Author(s):  
Jing Hong Zuo ◽  
Feng Ying Chen ◽  
Xiao Ying Li ◽  
Xian Chun Xia ◽  
Hong Cao ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Association Study ◽  
Common Wheat ◽  
Genome Wide Association Study ◽  
Triticum Aestivum L ◽  
Seed Longevity ◽  
Genome Wide Association ◽  
Genome Wide

Genome-wide association analyses of common wheat (Triticum aestivum L.) germplasm identifies multiple loci for aluminium resistanceThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”

Genome ◽  
2010 ◽  
Vol 53 (11) ◽  
pp. 957-966 ◽  
Author(s):  
Harsh Raman ◽  
Benjamin Stodart ◽  
Peter R. Ryan ◽  
Emmanuel Delhaize ◽  
Livinus Emebiri ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Association Mapping ◽  
Common Wheat ◽  
Acid Soils ◽  
Triticum Aestivum L ◽  
Genome Wide Association ◽  
Phenotypic Variance ◽  
Association Analyses ◽  
Genome Wide ◽  
Genomic Regions

Aluminium (Al3+) toxicity restricts productivity and profitability of wheat ( Triticum aestivum L.) crops grown on acid soils worldwide. Continued gains will be obtained by identifying superior alleles and novel Al3+ resistance loci that can be incorporated into breeding programs. We used association mapping to identify genomic regions associated with Al3+ resistance using 1055 accessions of common wheat from different geographic regions of the world and 178 polymorphic diversity arrays technology (DArT) markers. Bayesian analyses based on genetic distance matrices classified these accessions into 12 subgroups. Genome-wide association analyses detected markers that were significantly associated with Al3+ resistance on chromosomes 1A, 1B, 2A, 2B, 2D, 3A, 3B, 4A, 4B, 4D, 5B, 6A, 6B, 7A, and 7B. Some of these genomic regions correspond to previously identified loci for Al3+ resistance, whereas others appear to be novel. Among the markers targeting TaALMT1 (the major Al3+-resistance gene located on chromosome 4D), those that detected alleles in the promoter explained most of the phenotypic variance for Al3+ resistance, which is consistent with this region controlling the level of TaALMT1 expression. These results demonstrate that genome-wide association mapping cannot only confirm known Al3+-resistance loci, such as those on chromsomes 4D and 4B, but they also highlight the utility of this technique in identifying novel resistance loci.

scholarly journals Genome-wide identification and expression analysis of expansin gene family in common wheat (Triticum aestivum L.)

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhisheng Han ◽  
Yanlin Liu ◽  
Xiong Deng ◽  
Dongmiao Liu ◽  
Yue Liu ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Gene Family ◽  
Common Wheat ◽  
Expression Analysis ◽  
Triticum Aestivum L ◽  
Expansin Gene ◽  
Genome Wide

scholarly journals A prospective study of time-dependent exposures to childhood adversity and DNA methylation in childhood and adolescence

2021 ◽  
Author(s):  
Alexandre A Lussier ◽  
Yiwen Zhu ◽  
Brooke J Smith ◽  
Janine Cerutti ◽  
Andrew Simpkin ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Childhood Adversity ◽  
Time Dependent ◽  
Childhood And Adolescence ◽  
Parents And Children ◽  
Genome Wide ◽  
Latent Effects ◽  
Underlying Mechanisms ◽  
A Prospective Study ◽  
The Relationship

Background: Childhood adversity influences long-term health, particularly if experienced during sensitive periods in development when physiological systems are more responsive to environmental influences. Although the underlying mechanisms remain unclear, prior studies suggest that DNA methylation (DNAm) may capture these time-dependent effects of childhood adversity. However, it remains unknown whether DNAm alterations persist into adolescence and how the timing of adversity might influence DNAm trajectories across development. Methods: We examined the relationship between time-dependent adversity and genome-wide DNAm measured at three waves from birth to adolescence using prospective data from the Avon Longitudinal Study of Parents and Children. We first assessed the relationship between the timing of exposure to seven types of adversity (measured 5-8 times between ages 0-11) and DNAm at age 15 using a structured life course modeling approach. We also characterized the persistence into adolescence of associations identified from age 7 DNAm, as well as the influence of adversity on DNAm trajectories from ages 0-15. Results: Adversity was associated with differences in age 15 DNAm at 24 loci (FDR<0.05). Most loci (19 of 24) were associated with adversity (i.e., physical/sexual abuse, one-adult households, caregiver abuse) that occurred between ages 3-5. Although no DNAm differences present at age 7 persisted into adolescence, we identified seven unique types of DNAm trajectories across development, which highlighted diverse effects of childhood adversity on DNAm. Conclusions: Our results suggest that childhood adversity, particularly between ages 3-5, can influence the trajectories of DNAm across development, exerting both immediate and latent effects on the epigenome.

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