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1.
Genome Biol ; 25(1): 87, 2024 Apr 05.
Artigo em Inglês | MEDLINE | ID: mdl-38581061

RESUMO

BACKGROUND: DNA methylation is an essential epigenetic modification. However, its contribution to trait changes and diversity in the domestication of perennial fruit trees remains unknown. RESULTS: Here, we investigate the variation in DNA methylation during pear domestication and improvement using whole-genome bisulfite sequencing in 41 pear accessions. Contrary to the significant decrease during rice domestication, we detect a global increase in DNA methylation during pear domestication and improvement. We find this specific increase in pear is significantly correlated with the downregulation of Demeter-like1 (DML1, encoding DNA demethylase) due to human selection. We identify a total of 5591 differentially methylated regions (DMRs). Methylation in the CG and CHG contexts undergoes co-evolution during pear domestication and improvement. DMRs have higher genetic diversity than selection sweep regions, especially in the introns. Approximately 97% of DMRs are not associated with any SNPs, and these DMRs are associated with starch and sucrose metabolism and phenylpropanoid biosynthesis. We also perform correlation analysis between DNA methylation and gene expression. We find genes close to the hypermethylated DMRs that are significantly associated with fruit ripening. We further verify the function of a hyper-DMR-associated gene, CAMTA2, and demonstrate that overexpression of CAMTA2 in tomato and pear callus inhibits fruit ripening. CONCLUSIONS: Our study describes a specific pattern of DNA methylation in the domestication and improvement of a perennial pear tree and suggests that increased DNA methylation plays an essential role in the early ripening of pear fruits.


Assuntos
Metilação de DNA , Pyrus , Humanos , Frutas/genética , Frutas/metabolismo , Pyrus/genética , Domesticação , Epigênese Genética , Proteínas de Ligação ao Cálcio/genética , Transativadores/genética
2.
Chemistry ; 29(39): e202300455, 2023 Jul 11.
Artigo em Inglês | MEDLINE | ID: mdl-37085981

RESUMO

In this study, a low-molecular-weight organogelator derived from (l)-amino acids was designed and synthesized. Gelation assays using (l)-amino acid derivatives were performed to confirm the gelation ability, which was found to be high in several compounds. The (l)-alanine derivatives were determined to be excellent gelators, forming good gels even when smaller amounts were added. These results led to a library of amino acid-derived organogelators. In addition, the thermal properties of the (l)-alanine derivatives with high gelation performance were measured. Differential scanning calorimetry measurements revealed that the thermal stability of the gels could be controlled by changing the gelator concentration. The surface states of the obtained gels were observed by field-emission scanning electron microscopy and atomic force microscopy measurements, which confirmed the structure of the self-molecular aggregates. Self-molecular aggregates were observed to be helical or sheet-like, and the gels were constructed by forming aggregates by self-molecular recognition.

3.
Hortic Res ; 9: uhac141, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36072841

RESUMO

Pear (Pyrus spp.) is one of the most common fruit crops grown in temperate regions worldwide. Genetic enhancement of fruit quality is a fundamental goal of pear breeding programs. The genetic control of pear fruit quality traits is highly quantitative, and development of high-density genetic maps can facilitate fine-mapping of quantitative trait loci (QTLs) and gene identification. Bin-mapping is a powerful method of constructing high-resolution genetic maps from large-scale genotyping datasets. We performed whole-genome sequencing of pear cultivars 'Niitaka' and 'Hongxiangsu' and their 176 F 1 progeny to identify genome-wide single-nucleotide polymorphism (SNP) markers for constructing a high-density bin-map of pear. This analysis yielded a total of 1.93 million SNPs and a genetic bin-map of 3190 markers spanning 1358.5 cM, with an average adjacent interval of 0.43 cM. This bin-map, along with other high-density genetic maps in pear, improved the reference genome assembly from 75.5 to 83.7% by re-anchoring the scaffolds. A quantitative genetic analysis identified 148 QTLs for 18 fruit-related traits; among them, QTLs for stone cell content, several key monosaccharides, and fruit pulp acids were identified for the first time in pear. A gene expression analysis of six pear cultivars identified 399 candidates in the identified QTL regions, which showed expression specific to fruit developmental stages in pear. Finally, we confirmed the function of PbrtMT1, a tonoplast monosaccharide transporter-related gene responsible for the enhancement of fructose accumulation in pear fruit on linkage group 16, in a transient transformation experiment. This study provides genomic and genetic resources as well as potential candidate genes for fruit quality improvement in pear.

4.
Hortic Res ; 92022 Jan 05.
Artigo em Inglês | MEDLINE | ID: mdl-35031796

RESUMO

Pear, belonging to the genus Pyrus, is one of the most economically important temperate fruit crops. Pyrus is an important genus of the Rosaceae family, subfamily Maloideae, and has at least 22 different species with over 5000 accessions maintained or identified worldwide. With the release of draft whole-genome sequences for Pyrus, opportunities for pursuing studies on the evolution, domestication, and molecular breeding of pear, as well as for conducting comparative genomics analyses within the Rosaceae family, have been greatly expanded. In this review, we highlight key advances in pear genetics, genomics, and breeding driven by the availability of whole-genome sequences, including whole-genome resequencing efforts, pear domestication, and evolution. We cover updates on new resources for undertaking gene identification and molecular breeding, as well as for pursuing functional validation of genes associated with desirable economic traits. We also explore future directions for "pear-omics".

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