Background: This study aims to determine the candidate markers that can be used as DNA barcode in the Lauraceae family.
Material And Methods: Polymerase chain reaction amplification, sequencing efficiency, differential intra- and interspecific divergences, DNA barcoding gap, and identification efficiency were used to evaluate the four different DNA sequences of psbA-trnH, matK, rbcL, and ITS2. We tested the discrimination ability of psbA-trnH in 68 plant samples belonging to 42 species from 11 distinct genera and found that the rate of successful identification with the psbA-trnH was 82.4% at the species level. However, the correct identification of matK and rbcL were only 30.9% and 25.0%, respectively, using BLAST1. The PCR amplification efficiency of the ITS2 region was poor; thus, ITS2 was not included in subsequent experiments. To verify the capacity of the identification of psbA-trnH in more samples, 175 samples belonging to 117 species from the experimental data and from the GenBank database of the Lauraceae family were tested.
Results: Using the BLAST1 method, the identification efficiency were 84.0% and 92.3% at the species and genus level, respectively.
Conclusion: Therefore, psbA-trnH is confirmed as a useful marker for differentiating closely related species within Lauraceae.
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http://dx.doi.org/10.4103/0973-1296.93301 | DOI Listing |
Sci Rep
December 2024
College of Advanced Manufacturing Innovation, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.
Vector-borne diseases pose a major worldwide health concern, impacting more than 1 billion people globally. Among various blood-feeding arthropods, mosquitoes stand out as the primary carriers of diseases significant in both medical and veterinary fields. Hence, comprehending their distinct role fulfilled by different mosquito types is crucial for efficiently addressing and enhancing control measures against mosquito-transmitted diseases.
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December 2024
Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China.
Multi-insertion/deletion polymorphisms (Multi-InDels), as the novel genetic markers, show great potential in forensic research. Whereas, forensic researchers mainly focus on the multi-InDels on the autosomes, which can provide relatively limited information in some complex paternity cases. In this study, a novel X chromosomal multi-InDel multiplex amplification system was designed, containing 22 multi-InDels and one STR locus on the X chromosome.
View Article and Find Full Text PDFLithofacies classification and identification are of great significance in the exploration and evaluation of tight sandstone reservoirs. Existing methods of lithofacies identification in tight sandstone reservoirs face issues such as lengthy manual classification, strong subjectivity of identification, and insufficient sample datasets, which make it challenging to analyze the lithofacies characteristics of these reservoirs during oil and gas exploration. In this paper, the Fuyu oil formation in the Songliao Basin is selected as the target area, and an intelligent method for recognizing the lithophysics reservoirs in tight sandstone based on hybrid multilayer perceptron (MLP) and multivariate time series (MTS-Mixers) is proposed.
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December 2024
College of Horticulture and Plant Protection, Henan University of Science and Technology, Luoyang, 47100, China.
Tea bud detection technology is of great significance in realizing automated and intelligent plucking of tea buds. This study proposes a lightweight tea bud identification model based on modified Yolov5 to increase the picking accuracy and labor efficiency of intelligent tea bud picking while lowering the deployment pressure of mobile terminals. The following methods are used to make improvements: the backbone network CSPDarknet-53 of YOLOv5 is replaced with the EfficientNetV2 feature extraction network to reduce the number of parameters and floating-point operations of the model; the neck network of YOLOv5, the Ghost module is introduced to construct the ghost convolution and C3ghost module to further reduce the number of parameters and floating-point operations of the model; replacing the upsampling module of the neck network with the CARAFE upsampling module can aggregate the contextual tea bud feature information within a larger sensory field and improve the mean average precision of the model in detecting tea buds.
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December 2024
Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
Abscisic acid (ABA) is a crucial phytohormone that regulates plant growth and stress responses. While substantial knowledge exists about transcriptional regulation, the molecular mechanisms underlying ABA-triggered translational regulation remain unclear. Recent advances in deep sequencing of ribosome footprints (Ribo-seq) enable the mapping and quantification of mRNA translation efficiency.
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