scholarly journals Identification of peach growth regulating-factors and their expression under UVB

2020 ◽  
Author(s):  
MingYue Sun ◽  
Shaoxuan Li ◽  
Xiangguang Meng ◽  
Li Liu ◽  
Ning Wang ◽  
...  
Keyword(s):  
Tandem Repeats ◽  
Prunus Persica ◽  
Pattern Analysis ◽  
Ultraviolet B ◽  
Transcriptional Level ◽  
Biological Processes ◽  
Peach Genome ◽  
Expression Pattern Analysis ◽  
Motif Composition ◽  
Indole 3 Acetic Acid

Abstract Background: Growth-regulating factors (GRFs) are one of the most important plant-specific transcription factors with vital roles in multiple biological processes. GRFs have been identified in a variety of plant species, but a handful of research has addressed GRF genes in peach (Prunus persica).Results: Here, we report 46 members of the GRF family in four Rosaceae, divided into six subfamilies according to phylogeny, gene structure, and motif composition. We detected three collinear gene pairs generated from peach by whole-genome duplication or segmental duplication, but no tandem repeats were detected. Expression pattern analysis found that most PpGRFs were preferentially expressed in young tissues, At the sametime, multiple types cis-elements were observed in PpGRF promoters, and PpGRFs could positively respond to ultraviolet B-rays (UVB) and gibberellin (GA)treatments at the transcriptional level. Also, the content of GA3 and indole-3-acetic acid (IAA) changed significantly after UVB irradiation, indicating that GRFs might be involved in new shoot development in peach.Conclusions: This study identified 10 GRF genes in the peach genome and systematically analyzed their properties, thereby providing a foundation for researchers to have a better understanding of this gene family in peach. PpGRF 3, 4, 5, 6, 7, 9, and 10 positive responses to UVB and GA3 signals indicate that they can serve as candidate functional genes to further study how tree potential is regulated in peach.

scholarly journals Genetic Basis Dissection for Eating and Cooking Qualities of Japonica Rice in Northeast China

Agronomy ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 423
Author(s):  
Yaolong Yang ◽  
Xin Xu ◽  
Mengchen Zhang ◽  
Qun Xu ◽  
Yue Feng ◽  
...  
Keyword(s):  
Linkage Disequilibrium ◽  
Northeast China ◽  
Genetic Basis ◽  
Pattern Analysis ◽  
Principal Component ◽  
Rice Grain ◽  
Japonica Rice ◽  
Cooked Rice ◽  
Expression Pattern Analysis ◽  
Gel Consistency

The japonica rice in Northeast China is famous because of its high quality. Eating and cooking qualities (ECQs) are the most important factors that determine cooked rice quality. However, the genetic basis of ECQ of japonica varieties in Northeast China needs further study. In this study, 200 japonica varieties that are widely distributed in Northeast China were collected to evaluate the physicochemical indices of grain ECQs. The distribution of each trait was concentrated without large variations. Correlation analysis indicated that gel consistency (GC) had a significantly negative correlation with gelatinization temperature (GT). By integrating various analyses including kinship calculation, principal component analysis (PCA), linkage disequilibrium (LD) analysis, and original parent investigation, we found that the japonica varieties in Northeast China exhibited a narrow genetic basis. An association study for grain ECQs was performed and eight quantitative trait loci (QTLs) were detected. ALK was the major locus that regulated GT and also significantly affecting GC. Through the linkage disequilibrium (LD) and expression pattern analysis, one possible candidate gene (LOC_Os02g29980) was predicted and required further research for validation. Additionally, a different allele of Wx was identified in the variety CH4126, and ALK was not fixed in these japonica varieties. These results further elucidate the genetic basis of ECQs of japonica varieties in Northeast China and provide local breeders some assistance for improving ECQs of rice grain in rice breeding.

scholarly journals Comparative Genomic Analysis of TCP Genes in Six Rosaceae Species and Expression Pattern Analysis in Pyrus bretschneideri

2021 ◽  
Vol 12 ◽  
Author(s):  
Yu Zhao ◽  
Xueqiang Su ◽  
Xinya Wang ◽  
Mengna Wang ◽  
Xujing Chi ◽  
...  
Keyword(s):  
Expression Pattern ◽  
Prunus Avium ◽  
Pattern Analysis ◽  
Evolutionary Relationship ◽  
Comparative Genomic ◽  
Accumulation Pattern ◽  
Stone Cell ◽  
Expression Pattern Analysis ◽  
Rosaceae Species ◽  
Different Tissues

TCP is a plant-specific transcription factor that plays an important role in flowering, leaf development and other physiological processes. In this study, we identified a total of 155 TCP genes: 34 in Pyrus bretschneideri, 19 in Fragaria vesca, 52 in Malus domestica, 19 in Prunus mume, 17 in Rubus occidentalis and 14 in Prunus avium. The evolutionary relationship of the TCP gene family was examined by constructing a phylogenetic tree, tracking gene duplication events, performing a sliding window analysis. The expression profile analysis and qRT-PCR results of different tissues showed that PbTCP10 were highly expressed in the flowers. These results indicated that PbTCP10 might participated in flowering induction in pear. Expression pattern analysis of different developmental stages showed that PbTCP14 and PbTCP15 were similar to the accumulation pattern of fruit lignin and the stone cell content. These two genes might participate in the thickening of the secondary wall during the formation of stone cells in pear. Subcellular localization showed that PbTCPs worked in the nucleus. This study explored the evolution of TCP genes in six Rosaceae species, and the expression pattern of TCP genes in different tissues of “Dangshan Su” pear. Candidate genes related to flower induction and stone cell formation were identified. In summary, our research provided an important theoretical basis for improving pear fruit quality and increasing fruit yield by molecular breeding.

The Salivary miRNome: A Promising Biomarker of Disease

MicroRNA ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Sara Tomei ◽  
Harshitha Shobha Manjunath ◽  
Selvasankar Murugesan ◽  
Souhaila Al Khodor
Keyword(s):  
Current Knowledge ◽  
Transcriptional Level ◽  
Biological Processes ◽  
Circulating Mirnas ◽  
Disease Pathogenesis ◽  
Technical Aspects ◽  
Recent Developments ◽  
Health And Disease ◽  
Non Coding Rnas

: MicroRNAs (miRNAs) are non-coding RNAs ranging from 18-24 nucleotides also known to regulate the human genome mainly at the post-transcriptional level. MiRNAs were shown to play an important role in most biological processes such as apoptosis and in the pathogenesis of many diseases such as cardiovascular diseases and cancer. Recent developments of advanced molecular high-throughput technologies have enhanced our knowledge of miRNAs. MiRNAs can now be discovered, interrogated, and quantified in various body fluids, and hence can serve as diagnostic and therapeutic markers for many diseases. While most studies use blood as a sample source to measure circulating miRNAs as possible biomarkers for disease pathogenesis, fewer studies have assessed the role of salivary miRNAs in health and disease. This review aims at providing an overview of the current knowledge of the salivary miRNome, addressing the technical aspects of saliva sampling and highlighting the applicability of miRNA screening to clinical practice.

Characterization and expression pattern analysis of microRNAs in wheat under drought stress

2015 ◽  
Vol 59 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Y. -Y. Zhao ◽  
C. -J. Guo ◽  
X. -J. Li ◽  
W. -W. Duan ◽  
C. -Y. Ma ◽  
...  
Keyword(s):  
Drought Stress ◽  
Expression Pattern ◽  
Pattern Analysis ◽  
Expression Pattern Analysis

Ultraviolet B irradiation influences the fruit quality and sucrose metabolism of peach (Prunus persica L.)

2018 ◽  
Vol 153 ◽  
pp. 286-301 ◽  
Author(s):  
Xuxu Wang ◽  
Xiling Fu ◽  
Min Chen ◽  
Lei Huan ◽  
Wenhai Liu ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Prunus Persica ◽  
Sucrose Metabolism ◽  
Ultraviolet B ◽  
Ultraviolet B Irradiation

Cloning of rpl10 in spotted knifejaw ( Oplegnathus punctatus ) and expression pattern analysis after iridovirus infection

2019 ◽  
Vol 51 (3) ◽  
pp. 1256-1263 ◽  
Author(s):  
Shan Wang ◽  
Wenteng Xu ◽  
Ming Li ◽  
Lei Wang ◽  
Yunji Xiu ◽  
...  
Keyword(s):  
Expression Pattern ◽  
Pattern Analysis ◽  
Expression Pattern Analysis
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