低剂量CO2激光对茄子,青椒叶绿体超微结构影响的初步观察

本试验用功率密度为825mw/cm~2的CO_2激光照射茄子干种子(含水量8.33％)13s、青椒干种子(含水量5.4％)3s,分别以Os为对照(ck)。照射后播于生长箱内,出苗10天分苗于玻璃温室内,于四叶期取样观察成熟叶片叶绿体的超微结构。发现激光照射处理的茄子、青椒的叶绿体的基质片层、基粒片层有明显的吸胀现象。     

反义寡聚硫代磷酸脱氧核苷抑制体外细胞培养系统中乙肝抗原表达的研究

设计合成了两个分别互补于乙肝病毒２．１ｋｂ ｍＲＮＡ起始区（片段Ａ）和增强子区（片段Ｂ）的硫代磷酸的ＤＮＡ片段,在经克隆ＨＢＶ ＤＮＡ转染ＨｅｐＧ２细胞建立的ＨＢＶ短暂表达系统及稳定产生ＨＢＶ的２２１５细胞中研究二者对ＨＢｓＡｇ及ＨＢｅＡｇ表达的抑制作用。结果表明反义寡聚物能不同程序抑制乙肝抗原表达,并与剂量呈一定正相关。在ＨｅｐＧ２细胞ＨＢＶ短暂表达系统中,６μｍｏｌ／Ｌ浓度时,片段Ａ、Ｂ对ＨＢ     

论二次抽样以矫正多样性统计偏差的经典、发展与应用

稀疏标准化是定量古生物工作中矫正多样性统计偏差的常用方法。相比基于样本大小的传统稀疏化,基于采样充分度的改进能更忠实反映多样性信息。然而一些案例对于稀疏化的适用性不够重视,尤其是改进的方法鲜有国内文献介绍。本文阐述了稀疏化的原理,强调了应用的注意事项和改进方法的优势。稀疏化的原理是从大小不同的样本中二次抽样出彼此“公平”的子样本,以比较其分类单元丰富度。传统方法据样本大小衡量公平,改进的方法据采样充分度评估公平,要求子样本在群落中代表的个体频率总和相等。两种思路均可通过计算机模拟多次重复二次抽样或公式推导来计算,已有PAST和iNext等软件可以实现。采样是否充分代表了古生物群落是有效应用该方法的首要前提。     

地球生物学发展的机遇与挑战*

地球生物学已经引起了人们的广泛关注, 目前面临着机遇与挑战并存的发展局面。得益于现代技术方法的大发展, 地球生物学的研究对象经历了从宏体动植物向微体古生物再向地质微生物和地质病毒的发展, 研究主题从气候环境对生物演化的影响进一步拓展到生物演化如何影响气候环境乃至深地过程, 进而回答生命是如何塑造地球的宜居性这个地球科学的根本性难题。研究对象和研究主题的拓展也提升了地球生物学服务人类社会的能力, 资源能源安全的保障、气候—环境—生物多样性危机的协调应对等都需要地球生物学的支撑。同时, 地球生物学的发展也面临着诸多挑战。它首先需要技术方法的进一步革新来带动认识的创新, 其次需要回答生物演化的驱动力问题, 更需要破解生物演化如何影响深地过程, 包括板块运动、火山活动等地质过程, 只有这样才能全面而正确地评估生物是否改变了宜居地球的演化方向, 以及如何应对当前人类所面临的诸多全球性难题。     

The complex genome and adaptive evolution of polyploid Chinese pepper (Zanthoxylum armatum and Zanthoxylum bungeanum)

Zanthoxylum armatum and Zanthoxylum bungeanum, known as ‘Chinese pepper’, are distinguished by their extraordinary complex genomes, phenotypic innovation of adaptive evolution and species-special metabolites. Here, we report reference-grade genomes of Z. armatum and Z. bungeanum. Using high coverage sequence data and comprehensive assembly strategies, we derived 66 pseudochromosomes comprising 33 homologous phased groups of two subgenomes, including autotetraploid Z. armatum. The genomic rearrangements and two whole-genome duplications created large (~4.5 Gb) complex genomes with a high ratio of repetitive sequences (>82%) and high chromosome number (2n = 4x = 132). Further analysis of the high-quality genomes shed lights on the genomic basis of involutional reproduction, allomones biosynthesis and adaptive evolution in Chinese pepper, revealing a high consistent relationship between genomic evolution, environmental factors and phenotypic innovation. Our study provides genomic resources and new insights for investigating diversification and phenotypic innovation in Chinese pepper, with broader implications for the protection of plants under severe environmental changes.     

TaTPP-7A positively feedback regulates grain filling and wheat grain yield through T6P-SnRK1 signalling pathway and sugar–ABA interaction

Grain size and filling are two key determinants of grain thousand-kernel weight (TKW) and crop yield, therefore they have undergone strong selection since cereal was domesticated. Genetic dissection of the two traits will improve yield potential in crops. A quantitative trait locus significantly associated with wheat grain TKW was detected on chromosome 7AS flanked by a simple sequence repeat marker of Wmc17 in Chinese wheat 262 mini-core collection by genome-wide association study. Combined with the bulked segregant RNA-sequencing (BSR-seq) analysis of an F₂ genetic segregation population with extremely different TKW traits, a candidate trehalose-6-phosphate phosphatase gene located at 135.0 Mb (CS V1.0), designated as TaTPP-7A, was identified. This gene was specifically expressed in developing grains and strongly influenced grain filling and size. Overexpression (OE) of TaTPP-7A in wheat enhanced grain TKW and wheat yield greatly. Detailed analysis revealed that OE of TaTPP-7A significantly increased the expression levels of starch synthesis- and senescence-related genes involved in abscisic acid (ABA) and ethylene pathways. Moreover, most of the sucrose metabolism and starch regulation-related genes were potentially regulated by SnRK1. In addition, TaTPP-7A is a crucial domestication- and breeding-targeted gene and it feedback regulates sucrose lysis, flux, and utilization in the grain endosperm mainly through the T6P-SnRK1 pathway and sugar–ABA interaction. Thus, we confirmed the T6P signalling pathway as the central regulatory system for sucrose allocation and source–sink interactions in wheat grains and propose that the trehalose pathway components have great potential to increase yields in cereal crops.     

IL-33-ST2 pathway regulates AECII transdifferentiation by targeting alveolar macrophage in a bronchopulmonary dysplasia mouse model

Evidence points to the indispensable function of alveolar macrophages (AMs) in normal lung development and tissue homeostasis. However, the importance of AMs in bronchopulmonary dysplasia (BPD) has not been elucidated. Here, we identified a significant role of abnormal AM proliferation and polarization in alveolar dysplasia during BPD, which is closely related to the activation of the IL-33-ST2 pathway. Compared with the control BPD group, AMs depletion partially abolished the epithelialmesenchymal transition process of AECII and alleviated pulmonary differentiation arrest. In addition, IL-33 or ST2 knockdown has protective effects against lung injury after hyperoxia, which is associated with reduced AM polarization and proliferation. The protective effect disappeared following reconstitution of AMs in injured IL-33 knockdown mice, and the differentiation of lung epithelium was blocked again. In conclusion, the IL-33-ST2 pathway regulates AECII transdifferentiation by targeting AMs proliferation and polarization in BPD, which shows a novel strategy for manipulating the IL-33–ST2-AMs axis for the diagnosis and intervention of BPD.     

基于遗传算法的土地利用优化：NSGA-Ⅱ和NSGA-Ⅲ的对比研究

土地利用优化通常要兼顾不同群体的多种要求,理论上是复杂的超多目标(4个及以上)优化问题。但实际操作中却往往被简化为多目标(2—3个)优化问题,通过一种流行的多目标优化算法第Ⅱ代非支配排序遗传算法(NSGA-Ⅱ)求解。究其原因是对超多目标优化算法认知的缺失和与多目标优化算法理论对比的匮乏。对NSGA系列中应用最广泛的多目标优化算法NSGA-Ⅱ和最新提出、面向超多目标优化的算法NSGA-Ⅲ进行探究,从理论和实验两方面对Ⅲ和Ⅱ进行对比,从而探究二者进行土地利用优化时的优劣。在理论上,对比两种算法原理的异同。在实验中,分别设计多目标(3个目标)和超多目标(13个目标)土地利用优化问题,利用两种算法进行求解。对实验结果采用四层架构、六大指标进行全面评价,以对比两种算法的可用性。理论对比发现,两个算法只有种群多样性保护的方法不同,其中NSGA-Ⅲ是基于与固定的参考点的距离,而NSGA-Ⅱ则是基于相邻解间的距离。通过实验对比发现,NSGA-Ⅲ在超多目标优化时运算速度快,且产生的最优方案实用价值更高,NSGA-Ⅱ在算法的有效性方面更有优势。