Global climatic fluctuations governed the ancestral demographic histories of species and contributed to place the current population status into a more extensive ecological and evolutionary context. Genetic variations will leave unambiguous signatures in the patterns of intraspecific genetic variation in extant species since the genome of each individual is an imperfect mosaic of the ancestral genomes. Here, we report the genome sequences of 20 Branchiostoma individuals by whole‐genome resequencing strategy. We detected over 140 million genomic variations for each Branchiostoma individual. In particular, we applied the pairwise sequentially Markovian coalescent (PSMC) method to estimate the trajectories of changes in the effective population size (Ne) of Branchiostoma population during the Pleistocene. We evaluated the threshold of sequencing depth for proper inference of demographic histories using PSMC was ≥25×. The PSMC results highlight the role of historical global climatic fluctuations in the long‐term population dynamics of Branchiostoma. The inferred ancestral Ne of the Branchiostoma belcheri populations from Zhanjiang and Xiamen (China) seawaters was different in amplitude before the first (mutation rate = 3 × 10?9) or third glaciation (mutation rate = 9 × 10?9) of the Pleistocene, indicating that the two populations most probably started to evolve in isolation in their respective seas after the first or third glaciation of the Pleistocene. A pronounced population bottleneck coinciding with the last glacial maximum was observed in all Branchiostoma individuals, followed by a population expansion occurred during the late Pleistocene. Species that have experienced long‐term declines may be especially vulnerable to recent anthropogenic activities. Recently, the industrial pollution and the exploitation of sea sand have destroyed the harmonious living environment of amphioxus species. In the future, we need to protect the habitat of Branchiostoma and make full use of these detected genetic variations to facilitate the functional study of Branchiostoma for adaptation to local environments. 相似文献
Biotechnology Letters - In this study, 44 flavone synthases (FNS) and flavonol synthases (FLS) from different origins were collected. The instability index and conserved domain of the enzymes were... 相似文献
【背景】随着测序费用的降低,越来越多的科学家选择利用高通量测序技术研究噬菌体的基因组序列。通过对这些基因组数据的分析和研究,一些科学家也开发出了判断dsDNA噬菌体末端序列的方法,但这些方法是基于Linux系统下的命令,并没有在Windows操作系统下的软件。【目的】在Windows平台下开发一款免费的、可以在高通量测序获得的庞大序列文件中找到dsDNA噬菌体基因组末端序列的软件PhageGT。【方法】使用Visual Studio 2019开发一个基于对话框的微软基础类库(Microsoft Foundation Classes,MFC)应用程序。软件使用C++语言开发,逐行读取序列文件中的每条Reads,并设计相应的算法进行统计、计算。【结果】软件PhageGT可在高通量测序文件中提取出不同序列出现的频率、排序,并利用提取序列的最高频率和序列平均频率的比值(R值)判断噬菌体基因组是否存在末端序列。【结论】软件PhageGT的使用比较方便、简单。软件PhageGT和本文所利用的所有测试数据均可从https://zenodo.org/record/4674231#.YHADb-gzZxc免费获得。 相似文献
Neurochemical Research - Piceatannol is a natural plant-derived compound with protective effects against cardiovascular diseases. However, its effect on cerebral ischaemia–reperfusion injury... 相似文献
Neurochemical Research - Mesenchymal stem cells (MSCs)-derived extracellular vesicles (EVs) are implicated in cerebral ischemia reperfusion (I/R) injury process. In this study, after extraction and... 相似文献
Allometric growth reflects different allocation patterns and relationships of different components or traits of a plant and is closely related to ecosystem carbon storage. As an introduced species, the growth and carbon storage of Sonneratia apetala are still unclear. To derive allometric relationships of the mangrove S. apetala and to estimate carbon storage in mangrove ecosystems, we harvested 12 individual Sonneratia apetala trees from four different diameter classes in the Futian National Nature Reserve, Guangdong, China. Allometric growth models were fitted. The results showed that diameter at breast height (DBH) and wood density were better variables for predicting plant biomass (including above- and below-ground biomass) than plant height. There were significant power function relationships between biomass and DBH, with a mean allometric exponent of 2.22, and stem biomass accounted for 97% of the variation in S. apetala total biomass. Nearly isometric scaling relationships were developed between stem biomass and other biomass components. To better understand the carbon stocks of the S. apetala ecosystem, we categorized all trees into five age classes and quantified vegetation carbon storage. The S. apetala vegetation carbon storage ranged from 96.48 to 215.35 Mg C ha?1, and the carbon storage significantly increased with stand age. The allometric equations developed in this study are useful to estimate biomass and carbon storage of S. apetala ecosystems.