Recently, Coiled-coil serine-rich protein 1 () gene is reported to be related to economic traits in livestock, and become a hotspot. In our study, we detected gene CNV in 693 goats from six breeds (GZB, GZW, AN, BH, HG, TH) by quantitative real-time PCR (qPCR) and the association analysis between the types of CNV and growth traits. Then, gene expression pattern was discovered in seven tissues from NB goats. Our results showed that the gene copy numbers were distributed differently in the aforementioned six breeds. The type of gene CNV was significantly associated with body weight and heart girth traits in GZW goat, in which individuals with deletion type were dominant in body weight trait ( < 0.05), while the normal type individuals were more advantageous in heart girth trait ( < 0.01); and there was a significant association with heart girth in TH goat ( < 0.05), which normal type was the dominant one. The expression profile revealed that gene has the highest level in the lung, followed by the small intestine and heart. In conclusion, our result is dedicated to an in-depth study of the novel gene CNV site and to provide essential information for Chinese goats molecular selective breeding in the future.
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http://dx.doi.org/10.1080/10495398.2022.2025818 | DOI Listing |
Pak J Med Sci
January 2025
Khalid Khalil Security Forces Hospital Makkah, Makkah, Saudi Arabia.
Objective: To observe the fetomaternal outcome of therapeutic versus prophylactic blood transfusions in patients with sickle cell disease (SCD) during pregnancy.
Method: This single-center retrospective observational study was conducted on consecutive pregnant women with SCD between January 2018 and December 2020. All the pregnant women with SCD were included in this study.
Plant Cell Environ
January 2025
Remote Sensing Laboratory, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India.
The generation of spectral libraries using hyperspectral data allows for the capture of detailed spectral signatures, uncovering subtle variations in plant physiology, biochemistry, and growth stages, marking a significant advancement over traditional land cover classification methods. These spectral libraries enable improved forest classification accuracy and more precise differentiation of plant species and plant functional types (PFTs), thereby establishing hyperspectral sensing as a critical tool for PFT classification. This study aims to advance the classification and monitoring of PFTs in Shoolpaneshwar wildlife sanctuary, Gujarat, India using Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) and machine learning techniques.
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Department of Medicinal Plants, Faculty of Agriculture and Natural Resources, Arak University, Arak, 38156-8-8349, Iran.
Identifying the optimal cultivation regions and evaluating the impact of environmental factors are crucial for selecting the best conditions for the commercial production of important medicinal and industrial plants. This study examined the effects of different cultivation areas-Rayen, Eghlid, Kalat, and Zanjan-on the agro-morphological and phytochemical traits of Glycyrrhiza glabra. The findings revealed that the location where the plants were grown significantly influenced their physical and chemical characteristics.
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Department of Field Crops, Faculty of Agriculture, Necmettin Erbakan University, Konya, 42310, Türkiye.
Background: Innovation in crop establishment is crucial for wheat productivity in drought-prone climates. Seedling establishment, the first stage of crop productivity, relies heavily on root and coleoptile system architecture for effective soil water and nutrient acquisition, particularly in regions practicing deep planting. Root phenotyping methods that quickly determine coleoptile lengths are vital for breeding studies.
View Article and Find Full Text PDFPlant Physiol Biochem
January 2025
College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China. Electronic address:
Competition is ubiquitous and an important driver of tree mortality. Non-structural carbohydrates (NSCs, including soluble sugars and starch) and C-N-P stoichiometries are affected by the competitive status of trees and, in turn, physiologically determine tree growth and survival in competition. However, the physiological mechanisms behind tree mortality caused by intraspecific competition remain unclear.
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