Porphyra yezoensis Ueda is an intertidal marine red algae that has received increasing attention as a model organism owing to its important role in biological research and the agronomic industry. The two generations of Porphyra yezoensis, the sporophyte and the gametophyte, have the same genome but show great differences in many aspects, including structural features, habitat, and gene expression. To identify miRNAs and their probable roles in P. yezoensis development, we constructed and sequenced libraries of small RNA from P. yezoensis sporophytes and gametophytes. The sequencing data were analyzed, and 14 miRNAs were identified, with only one common to these two samples. Our results show that P. yezoensis has a complex small RNA processing system containing novel miRNAs that have no identifiable homolog in other organisms. These miRNAs might have important regulatory roles in development of the different generations of P. yezoensis.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3463926 | PMC |
| http://dx.doi.org/10.1155/2012/912843 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Physiological and Transcriptional Responses to Phosphorus Deficiency and Glucose-6-Phosphate Supplementation in .
Int J Mol Sci
November 2024
Jiangsu Key Laboratory of Marine Bioresources and Environment, Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang 222005, China.
Article Synopsis
- A marine red algae species is facing growth challenges due to phosphorus (P) deficiency, which impacts its cultivation and economic importance.
- *To cope with P deficiency, the algae have developed mechanisms to use dissolved organic phosphorus (DOP) sources like glucose-6-phosphate (G6P), although the exact process for G6P usage was previously unclear.
- *This study found that while P deficiency negatively affects growth and physiological health, G6P treatment helps mitigate these effects by enhancing gene expression related to nutrient acquisition, although it reduces pathways related to photosynthesis and antioxidant defense less severely.
Europium anomaly as a robust geogenic fingerprint for the geographical origin of aquatic products: A case study of nori (Neopyropia yezoensis) from the Japanese market.
Food Chem
February 2025
Graduate School of Environmental Science, Hokkaido University, Sapporo 060-0810, Japan.
Rare earth element (REE) concentration patterns, while essential in geochemistry for tracing sample histories, have yet to be utilised entirely in food origin authentication. This research analysed 13 heavy metal(oid)s and REEs in Japanese edible seaweed Nori sheet samples (Neopyropia yezoensis), showing that the concentrations mirror the laver cultivation area's geological features (island arc-trench systems vs. continental crust).
View Article and Find Full Text PDFCadmium bioavailability in market nori and kelp: A comparison with rice and mechanisms underlying reduction in rice cadmium bioavailability with nori and kelp consumption.
Sci Total Environ
December 2024
State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, China. Electronic address:
Seaweeds, despite being rich in beneficial substances, also contain toxic metals such as cadmium (Cd), leading to ongoing debates about their health impacts. This study assessed the risk of Cd exposure from consuming nori and kelp, as well as the potential benefits of these seaweeds in mitigating Cd exposure from rice, using mouse bioassays. The results indicated that all test nori samples (n = 35) had Cd concentration exceeding 1.
View Article and Find Full Text PDFComplete genome sequence of type strain LMG 26424, a prosthecate bacterium isolated from the red alga .
Microbiol Resour Announc
November 2024
Department of Biology, University of Scranton, Scranton, Pennsylvania, USA.
is a dimorphic, prosthecate member of the family , order Caulobacterales, in the class Alphaproteobacteria, originally isolated from the red alga . Here we report the complete genome of type strain LMG 26424 (0 C-2-2) obtained by sequencing with Oxford Nanopore technology.
View Article and Find Full Text PDFComparative Analysis of XGB, CNN, and ResNet Models for Predicting Moisture Content in Using Near-Infrared Spectroscopy.
Foods
September 2024
College of Food Science and Engineering, Ocean University of China, Qingdao 266003, China.
This study explored the performance and reliability of three predictive models-extreme gradient boosting (XGB), convolutional neural network (CNN), and residual neural network (ResNet)-for determining the moisture content in using near-infrared (NIR) spectroscopy. We meticulously selected 380 samples from various sources to ensure a comprehensive dataset, which was then divided into training (300 samples) and test sets (80 samples). The models were evaluated based on prediction accuracy and stability, employing genetic algorithms (GA) and partial least squares (PLS) for wavelength selection to enhance the interpretability of feature extraction outcomes.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!