思茅松叶绿体基因组密码子偏好性分析

密码子偏好性(codon usage bias)是指同义密码子的使用频率不同的现象,该现象广泛存在于植物中.本研究利用Codon W 1.4.2和CUSP软件分析思茅松(Pinus kesiya var.langbianensis)叶绿体基因组的45条CDS,结果显示思茅松叶绿体基因组密码子第三位碱基的GC含量为29.63％,偏好以AT碱基结尾;ENC值在37.66～60.30之间,且ENC值＞45的CDS有37个,占总参试基因的82.22％;GC1、GC2、GC3与GCall均为极显著相关,GC3与ENC呈显著相关.中性绘图分析显示GC12和GC3的相关系数为-0.1114,回归系数为-0.1111;ENC-plot软件分析显示大部分基因与标准曲线的距离较远;PR2-plot软件分析显示思茅松叶绿体基因组在密码子的碱基使用频率方面,T＞A,G＞C.这些说明思茅松叶绿体基因密码子偏好性的主要影响因素为选择,突变的作用较小.本研究为思茅松种源选择、系统发育等研究提供科学依据.     

人类基因同义密码子偏好的特征以及与基因GC含量的关系

对人类的728个基因,按其编码区中GC的含量分成四组(从GC＜0.43到GC＞0.58),分别考察了这四组样本对同义密码子偏好的特征,发现在全部样本中都呈现NTG(N代表四种碱基中的任一种)特受偏爱和NCG尽量避免的特征.基因环境中GC含量与C3/G3含量(密码子第三位C和G的含量)的相关分析,以及四组样本对密码子的偏好都支持以C结尾的密码子在编码中有特殊的优势,这种优势有利于保证翻译的准确性.还考察了各种氨基酸含量随编码区GC含量不同而变化的趋势.     

栽培大豆和野生大豆线粒体基因组密码子使用偏性的比较分析

为分析栽培大豆和野生大豆线粒体基因组的密码子使用特征差异,该文以其线粒体基因组编码序列为研究对象,比较其密码子偏性形成的影响因素和演化过程。结果表明:(1)栽培大豆和野生大豆线粒体基因组编码区的GC含量分别为44.56%和44.58%,说明栽培大豆和野生大豆线粒体编码基因均富含A/T碱基。(2)栽培大豆和野生大豆线粒体基因组密码子第1位、第2位GC含量平均值与第3位GC含量的相关性均呈极显著水平,说明突变在其密码子偏性形成中的作用不可忽略; PR2-plot分析显示,在同义密码子第3位碱基的使用频率上,嘌呤低于嘧啶; Nc-plot分析中Nc比值位于-0.1～0.2区间的基因数占总基因数的95%以上;突变和选择等多重因素共同作用影响了大豆线粒体基因组编码序列密码子使用偏性的形成。(3)有20、21个密码子分别被确定为栽培大豆和野生大豆线粒体基因组编码序列的最优密码子,其中除丝氨酸TCC密码子外均以A或T结尾。综上结果认为,栽培大豆线粒体密码子偏性的形成受选择的影响要高于野生大豆,这可能是栽培大豆由野生大豆经长期人工栽培驯化的结果。     

澳洲坚果光壳种叶绿体基因组的密码子使用偏好性及其影响因素分析

为确定澳洲坚果光壳种(Macadamia integrifolia Maiden&Betche)叶绿体基因组密码子偏好性形成的主要影响因素,本研究通过其叶绿体基因组的51条蛋白编码序列,系统分析其密码子的使用模式及其特征.密码子偏好性参数分析结果显示,叶绿体基因密码子3位碱基的GC含量次序为GC1>GC2>GC3;有效...     

沙枣叶绿体全基因组序列及其使用密码子偏性分析

该研究以2株野生沙枣(Elaeagnus angustifolia Linn.)嫩枝经温室水培后的嫩叶为材料,采用CTAB法分别提取总DNA,并利用第二代测序技术进行总DNA从头测序,组装后得到2株沙枣叶绿体基因组全序列,并详细分析了其蛋白质编码基因密码子使用的偏好性及其原因,为沙枣叶绿体基因工程和分子系统进化等研究奠定基础。结果显示:(1)组装得到沙枣叶绿体基因组序列全长150 546 bp,由长度为81 113 bp的长单拷贝(LSC)区域和25 494 bp的短单拷贝(SSC)区域,以及1对分隔开它们的长18 445 bp的反向重复序列(IRS)组成;注释共得到132个基因,包括86个蛋白编码基因、38个tRNA基因和8个rRNA基因。(2)沙枣叶绿体基因组蛋白编码基因密码子的第三位碱基GC含量(GC_3)为28.47%,明显低于整个叶绿体基因组GC含量(37%),也低于第一位(GC_1)和第二位(GC_2)碱基的GC含量,说明密码子对AT碱基结尾有偏好性;其中, UCU、CCU、UGU、GCU、CUU、GAU、UCA和UAA为最优密码子。(3)同义密码子相对使用频率(RSCU)分析发现,影响密码子使用模式的因素并不单一,密码子的偏好性受到突变、选择及其他因素的共同影响,并且自然选择表达引起的序列差异比突变对密码子偏好性的影响要显著;中性绘图分析、有效密码子数(ENC-plot)分析和奇偶偏好性(PR2-plot)分析表明,沙枣叶绿体基因组使用密码子的偏性受选择的影响更大。(4)通过最大似然法、最大简约法和贝叶斯方法对胡颓子科6个物种和1个枣的叶绿体基因序列构建系统发育树,与它们使用密码子偏性聚类的结果一致,表明叶绿体基因组使用密码子偏性与物种的亲缘关系相关。     

巨枝叶绿体基因组密码子偏好性分析

该文针对巨桉叶绿体基因组序列,选取其中长于300 nt且以AUG为起始密码子的43个非重复基因作为研究对象,采用CodonW1.4.2软件分析巨桉叶绿体基因组的密码子使用偏好性。结果表明:第3位密码子的平均GC含量为27.97%; ENC的变化范围为39.49～61.00,平均为47.04; RSCU1的密码子有31个,其中29个以A/U结尾;中性分析显示,GC12与GC3无显著相关;回归分析未达到显著性水平; ENCplot分析发现,大部分基因落在曲线上或附近;对应分析表明第1轴的贡献率为17.68%,第2轴的贡献率为11.49%,第3轴、第4轴的贡献率分别为8.00%和5.76%,前4轴累计贡献率达42.93%,第1轴与GC、ENC、CAI达到极显著相关。上述分析结果表明,巨桉叶绿体基因组的密码子偏好较弱,密码子第3位偏好以A或U结尾,选择和突变在巨桉叶绿体基因组密码子偏好中起相对均衡的作用,最终确定UUG、CUU、GUU、UCC、UCA、ACA、UAU、UAA、CAU、AAU、AGA和GGA 12个高频高表达密码子为最优密码子。这为转化叶绿体基因密码子优化,提高表达效率和改良巨桉目标性状奠定了坚实基础。     

短短芽孢杆菌GZDF3全基因组密码子偏好性分析

为了解短短芽孢杆菌GZDF3全基因组密码子的使用特性,采用Codon W 1.4.2软件和Mobyle portal在线软件分析菌株GZDF3全基因组密码子偏好性,分析该菌的相对同义密码子使用度(relative synonymous codon usage,RSCU)、密码子适应指数(codon adaption index,CAI)、有效密码子数(effective number of codon,Nc)、同义密码子第3位中G/C含量(GC3s)和高表达优越密码子。结果表明,短短芽孢杆菌GZDF3密码子第2位密码子的GC含量明显低于第1位和第3位,为37.56%,第1位和第3位的GC含量差异较小,分别为55.50%和51.13%;基因组大部分Nc值介于30~60,说明密码子偏好性普遍偏弱;RSCU值大于1的密码子共有27个,其中以A或T结尾的14个,占51.9%,并确定了27个最优密码子,为外源基因表达提供理论基础。     

茄腐镰孢(Fusarium solani)线粒体基因组密码子偏好性分析

密码子使用偏好性作为功能基因组重要的进化特征而被广泛报道,但是有关真菌线粒体基因组密码子使用偏好性的研究相对较少。本试验以茄腐镰孢线粒体基因组为研究对象,运用Codon W软件及RSCU在线软件对所筛选到的22条编码基因密码子3个位置上的GC含量、有效密码子数、同义密码子使用频率和最优密码子进行了分析。同时,确定了茄腐镰孢线粒体基因组的最优密码子,并探讨了影响密码子偏性形成的相关因素。分析结果表明,茄腐镰孢线粒体密码子3位的GC含量为GC1(32.7%)GC2(28.0%)GC3(19.7%),第3位GC含量明显小于第1、2位,表现出对以A或者T结尾的密码子发生较强烈的偏向使用;且确定的21个最优密码子中有20个以A或者T结尾。通过中性绘图及ENC分析得出茄腐镰孢线粒体基因组密码子的使用偏好受到选择作用和突变压力的共同影响,选择作用为主要影响因素。     

普通油茶叶绿体基因组密码子偏好性分析

为了利用叶绿体基因工程技术改良普通油茶的重要经济性状,该研究以普通油茶叶绿体全基因组序列为材料,从中筛选出51条长度大于300 bp且以ATG起始的非重复CDS(Coding DNA Sequence)为对象,利用CodonW软件分析其密码子偏好性。结果表明:密码子第三位GC含量为27.55%,ENC范围在35.23~56.67之间,平均值为46.09;RSCU值大于1.00的密码子数目为30个,其中29个第三位碱基以U或A结尾;中性绘图表明GC12与GC3的相关系数为0.143,相关性不显著,回归系数为0.0573;频数分布显示,55%基因的ENC比值集中分布在0~0.1,25%基因的ENC比值分布在0.1~0.2之间;对应分析结果表明,第一向量轴占10.12%的差异,第二向量轴占9.36%的差异,其余两轴分别占7.97%和7.46%,前4轴累计差异为34.91%。中性绘图、ENC-plot和对应性分析均表明普通油茶叶绿体基因密码子偏好受突变作用,更多受选择的影响。最终取高表达优越密码子和高频密码子共有的CUU、AUU、GUU、GUA、UAA、CAA、AAA、GAC、GAA、CCU、ACU、GCU、GCA、UGU、CGU、AGU、UUG、GGU等18个密码子作为最优密码子。该研究结果为利用叶绿体基因工程技术改良普通油茶重要经济性状奠定了基础。     

影响耶尔森氏鼠疫杆菌基因组密码子使用的因素分析

基因组密码子使用的影响因素分析有助于发现影响密码子使用的进化动力学 ,对发现和预测进化的方向和模式有重要的作用。同时 ,分析完整的基因组可以发现特定基因组中密码子的使用模式 ,从而重新设计高效的PCR引物和外源导入基因 ,促进外源基因在特定生物体中的高效率表达。导致瘟疫等外源性感染疾病的耶尔森氏鼠疫杆菌完整基因组序列已经测序公布。为了对鼠疫杆菌的同义密码子使用的进化模式有更加深入的了解 ,详细的研究分析鼠疫杆菌的基因组密码子的使用模式和影响密码子使用的因素。结果发现 ,尽管鼠疫杆菌基因组序列中“G” “C”含量相对较低 (4 7.6 4 % ) ,高水平表达基因的密码子第三位碱基使用胞嘧啶 (C)的频率比表达水平低的基因使用胞嘧啶 (C)有显著的提高 ,表达水平较低的基因在密码子的第三位碱基更趋向使用鸟嘌呤 (G)。在表达水平高低的两组基因中 ,对密码子的第三位碱基使用腺嘌呤 (A)和胸腺嘧啶 (T)总体上趋于随机使用。基因的表达水平与对应分析的第一条向量轴呈高度相关 (R =0 .6 3,P <0 .0 0 0 1)。通过分析比较表达水平高低两组基因的密码子使用模式发现 ,基因的表达水平对于密码子使用有显著的影响。GC skew分析结果显示 ,复制转录阶段的选择对密码子使用有一定的影响。在不同长度     

Numerical approaches towards life cycle interpretation five examples

The ISO-standard for LCA distinguishes four phases, of which the last one, the interpretation, is the least elaborated. It can be regarded as containing procedural steps (like a completeness check) as well as numerical steps (like a sensitivity check). This paper provides five examples of techniques that can be used for the numerical steps. These are the contribution analysis, the perturbation analysis, the uncertainty analysis, the comparative analysis, and the discernibility analysis. All five techniques are described at a non-technical level with respect to basic concept, possibilities, tabular and graphical representation, restriction and warnings, and all are illustrated with a simple example.     

影响水稻光合日变化的酶和相关因素的分析

水稻叶片的最大光合速率出现在上午１０：００时,Ｒｕｂｉｓｃｏ初始活力也在此时达到最大,然后逐渐降低,下午１４：００时略上升后又下降．Ｒｕｂｉｓｃｏ初始活力与光合速率之间极显著相关,相关系数为 ０．９４７４．运用相关性分析、回归分析、通径分析,对晴（有时有云）天气水稻叶片的光合速度、光合关键酶及有关因素的日变化进行综合评估,结果发现中午光合下降主要来自气孔限制,同时Ｒｕｂｉｓｃｏ活性也下降;Ｒｕｂｉｓｃｏ活性是影响光合日变化的又一重要生化因子．体内Ｒｕｂｉｓｃｏ活性受Ｒｕｂｉｓｃｏ活化酶的调节．     

Discrimination of higher plant calluses based on embryogenic capacity and taxonomic classification by pyrolysis mass spectrometry

Pyrolysis mass spectrometry (PyMS) is a rapid, simple, high-resolution analytical method based on thermal degradation of complex material in a vacuum, and has been widely applied to the discrimination of closely related microbial strains. Minimally prepared samples of embryogenic and non-embryogenic calluses derived from various higher plants (sweet potato, morning glory, Korean ginseng, Siberian ginseng, and balloon flower) were subjected to PyMS for spectral fingerprinting. A dendrogram based on the unweighted pair group method, with arithmetic mean of pyrolysis mass spectra, divided the calluses into Siberian ginseng embryogenic callus and the others, which were subsequently divided into embryogenic and non-embryogenic callus groups, regardless of plant species from which the calluses were derived. In the non-embryogenic callus group, the dendrogram was in agreement with the known taxonomy of the plants. These results indicate that PyMS analysis could be applied for discriminating plant calluses based on embryogenic capacity and taxonomic classification.     

Intraspecific variation in Licuala glabra Griff. (Palmae) in Peninsular Malaysia– a morphometric analysis

We studied vegetative and reproductive characters of 74 herbarium specimens of Licuala glabra Griff. (Palmae) collected from 22 localities throughout Peninsular Malaysia. To test the null hypothesis that there are no distinct groups within the species, cluster analysis (nearest neighbour), principal coordinates and principal components analyses were performed on the set of 43 qualitative and quantitative characters. The results obtained suggested that: (1) there are three infraspeciflc groups within the species, viz., the two published varieties glabra and selangorensis as well as a possible third novel taxon; (2) there is clustering of individuals corresponding to their geographic localities; (3) clusters generated using only reproductive characters indicate a biogeographic distribution of populations correlated with the mountain ranges in the peninsula.     

Fish ecoregions of Kansas: stream fish assemblage patterns and associated environmental correlates

Synopsis Principal components analysis was performed on fish presence/absence data for 39 common fish species from 410 stream sites in Kansas. The analysis confirmed ten ecologically meaningful fish assemblages, based on species associations. Factor scores based on these assemblages were then clustered into six geographic areas or fish ecoregions. Canonical discriminant analysis identified environmental variables that distinguished the derived fish ecoregions. Mean annual runoff, mean annual growing season, and discharge appear most important. Mean width, mean depth, chloride concentration, water temperature, substrate type, gradient, and percent of pool habitat were less important. Correspondence exists between these fish ecoregions and the patterns of physiographic regions, river basins, geology, soil, and potential natural vegetation in Kansas. The multivariate statistical approach used to classify fish ecoregions should have considerable potential value for fish assessment and management purposes in areas other than the state of Kansas.     

Some remarks about the analysis of active control studies

In an active-controlled trial, the experimental treatment can be declared to be non-inferior to the control if the confidence interval for the difference excludes a fixed pre-specified margin. Recently, some articles have discussed an alternative method where the data from the current study and placebo-controlled studies for the active control are combined together into a single test statistic to test whether a fixed fraction of the effect of the active control is preserved. It has been shown that, conditional on nuisance parameters from the active-controlled study, a fixed margin can be defined that will be operationally equivalent to this latter method. In this article, we will discuss statistical properties associated with these approaches. Specifically, the interim monitoring boundaries and level of evidence will be considered.     

Normal Approximations of Exact Tests in Configural Frequency Analysis

The most common tests for types and antitypes in configural frequency analysis are normal approximations of exact tests. In the paper such statistics under the complete independence model and under the fixed margins model are discussed. It turns out that these test statistics are not acceptable when the number of simultaneously performed tests is large or when the expected frequencies are small. In these cases, the use of exact tests is advocated and some existing computer programs for such tests are indicated. A normal approximation based on the strong version of the De Moivre-Laplace limit theorem is also discussed. Empirical examples are given from longitudinal data describing psychological development of boys.     

Phenotypic evaluation of genetic variability and selection of yield contributing traits in chickpea recombinant inbred line population under high temperature stress

Heat is a major abiotic stress that drastically reduces chickpea yield. This study aimed to identify heat-responsive traits to sustain crop productivity by screening a recombinant inbred line (RILs) population at two locations in India (Ludhiana and Faridkot). The RIL population was derived from an inter-specific cross between heat-tolerant genotype GPF 2 (C. arietinum L.) and heat sensitive accession ILWC 292 (C. reticulatum). The pooled analysis of variance showed highly significant differences for all the traits in RILs and most of the traits were significantly affected by heat stress at both locations. High values of genotypic coefficient of variation (19.52–38.53%), phenotypic coefficient of variation (20.29–39.85%), heritability (92.50–93.90%), and genetic advance as a percentage of mean (38.68–76.74%) have been observed for plant height, number of pods per plant, biomass, yield, and hundred seed weight across the heat stress environments. Association studies and principal component analysis showed a significant positive correlation of plant height, number of pods per plant, biomass, hundred seed weight, harvest index, relative leaf water content, and pollen viability with yield under both timely-sown and late-sown conditions. Path analysis revealed that biomass followed by harvest index was the major contributor to yield among the environments. Both step-wise and multiple regression analyses concluded that number of pods per plant, biomass and harvest index consistently showed high level of contribution to the total variation in yield under both timely-sown and late-sown conditions. Thus, the holistic approach of these analyses illustrated that the promising traits provide a framework for developing heat-tolerant cultivars in chickpea.Supplementary InformationThe online version contains supplementary material available at 10.1007/s12298-021-00977-5.     

分子水平的遗传多样性及其测量方法

遗传多样性水平是一项很重要的数据。目前从分子水平量化遗传多样性的方法以等位酶分析、ＲＦＬＰ分析和ＲＡＰＤ分析为代表。遗传变异在基因组中并非随机分布,所以取样方式对分析结果的影响不容忽视。本文叙述了遗传变异的产生和分布,并以此为基础比较了上述３种分析方法的理论与实践。     

凡纳滨对虾各月龄性状的主成分与判别分析

为了研究凡纳滨对虾各性状增长规律和判定最佳生长季节凡纳滨对虾的体格与月龄的关系,选择1～6月龄凡纳滨对虾各1000只,选择全长、体长、第一腹节背高、第三腹节背高、第一腹节背宽、头胸甲长和体重共7个性状,进行主成分与判别分析.结果表明:各月龄凡纳滨对虾性状之间均呈现显著的正相关(P<0.01), 其中以全长与体长的相关性最为明显,1月龄凡纳滨对虾体重与形态性状的相关系数较小.各月龄凡纳滨对虾的主成分有所不同,1～2月龄凡纳滨对虾的第一主成分为长度因子,第二主成分为宽度因子,第三主成分为高度因子;3月龄凡纳滨对虾的第一主成分与1～2月龄凡纳滨对虾一致,但第二主成分为高度因子,第三主成分为体重因子;4～6月龄凡纳滨对虾的第一主成分为体重因子,第二主成分为高度因子,第三主成分为宽度因子.1～3月龄凡纳滨对虾形态性状的增长优先于体重, 4～6月龄凡纳滨对虾体重优先于形态性状的增长.错过最佳生长季节的凡纳滨对虾的与体格大小相符的月龄可通过建立的判别式来判断,总的判别准确率为98.98%,其中2～4月龄凡纳滨对虾的判别准确率为100%.