A new approach for molecular cloning in cyanobacteria: cloning of an Anacystis nidulans met gene using a Tn901-induced mutant

A new strategy for molecular cloning in the cyanobacterium Anacystis nidulans R-2 is described. This strategy involved the use of a transposon and was developed for the cloning of a gene encoding methionine biosynthesis. A met::Tn901 mutant was isolated. Chromosomal DNA fragments were cloned in the Escherichia coli plasmid vector pACYC184. A recombinant plasmid carrying the inactivated met::Tn901 gene was selected after transformation to E. coli. The cloned met::Tn901 DNA fragment was used as a probe to select the corresponding A. nidulans R-2 wild-type met gene from a gene library prepared in E. coli, using the newly constructed shuttle cosmid vector pPUC29. When transformed into A. nidulans Met- mutants, this cloned gene allowed the mutants to grow prototrophically.     

CCC提高花生幼苗抗旱性的研究

用75、150、300ppm CCC 处理三叶期花生(Arachis hypogaea L.)幼苗,可减低干旱时期花生幼苗叶片质膜透性和叶片含水量的降低程度。150ppm CCC 能提高幼苗过氧化物酶活性,减小丙二醛的生成速率和超氧歧化酶的破坏程度。CCC 处理的花生幼苗,可提高在正常生长条件和干旱时期幼苗叶片内源脱落酸(ABA)水平,以150 ppm 效果最好。CCC 提高花生幼苗抗旱性的原因可能在于诱导幼苗内源 ABA 水平的提高,从而影响幼苗体内有关代谢反应。     

多效唑和矮壮素对盆栽彩色马蹄莲的矮化实验

采用200～400 mg*L-1多效唑(PP333)和1 000～2 000 mg*L-1矮壮素(CCC)对处于生长中期的2个彩色马蹄莲(Zantedeschia antedeschia)盆栽品种进行矮化处理,结果显示彩色马蹄莲的株型明显矮化,茎杆增粗.统计分析表明:PP333处理的矮化效果较明显,其中以300 mg*L-1效果最佳,说明PP333对设施栽培条件下彩色马蹄莲的防徒长、抗倒伏的矮化处理有实用价值.     

含矮壮素的保鲜剂对非洲菊切花衰老的影响

含矮壮素的保鲜剂能增加非洲菊切花瓶插衰老过程中SOD、CAT、POD的活性,削弱MDA含量的增加和的O-2生成速率,减少蛋白质的降解,降低脯氨酸含量和水分散失,维持膜结构的相对稳定性,延长切花瓶插寿命4 d左右.     

“固液双层”培养法诱导马铃薯‘米拉’试管薯的研究

该研究以马铃薯‘米拉’品种的脱毒试管苗为材料,采用"固液双层"的培养方式,通过正交试验对其试管苗壮苗生长阶段和试管薯诱导阶段的培养基进行优化,并通过单因素试验研究蔗糖浓度、光照条件和CCC浓度对试管薯结薯的影响。结果表明:在"固液双层"培养中,‘米拉’壮苗培养阶段优化的培养基为改良MS培养基(硝酸铵为2 000 mg·L~(-1)、硝酸钾为2 000 mg·L~(-1))+500 mg·L~(-1)CCC+0.1%活性炭+0.1mg·L~(-1)DA-6+1 mg·L~(-1)6-BA+0.1 mg·L~(-1)NAA+3%蔗糖+6 g·L~(-1)琼脂,pH 5.8。试管薯诱导及生长阶段优化的培养基为MS_1培养基(微量元素和铁盐的用量为MS培养基的2倍)+1.5%活性炭+4 mg·L~(-1)6-BA+8%蔗糖。在试管薯诱导阶段,弱光4 h·d~(-1)培养诱导的试管薯,结薯指数、大薯率、薯块重量均优于暗培养。"固液双层"培养是一种低成本的方法,在组织培养室内就可以大量繁殖‘米拉’试管薯,并且能增加原种的数量,这种方法也能用于马铃薯其他栽培品种试管薯的诱导。     

Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction

The task of modeling the distribution of a large number of tree species under future climate scenarios presents unique challenges. First, the model must be robust enough to handle climate data outside the current range without producing unacceptable instability in the output. In addition, the technique should have automatic search mechanisms built in to select the most appropriate values for input model parameters for each species so that minimal effort is required when these parameters are fine-tuned for individual tree species. We evaluated four statistical models—Regression Tree Analysis (RTA), Bagging Trees (BT), Random Forests (RF), and Multivariate Adaptive Regression Splines (MARS)—for predictive vegetation mapping under current and future climate scenarios according to the Canadian Climate Centre global circulation model. To test, we applied these techniques to four tree species common in the eastern United States: loblolly pine (Pinus taeda), sugar maple (Acer saccharum), American beech (Fagus grandifolia), and white oak (Quercus alba). When the four techniques were assessed with Kappa and fuzzy Kappa statistics, RF and BT were superior in reproducing current importance value (a measure of basal area in addition to abundance) distributions for the four tree species, as derived from approximately 100,000 USDA Forest Service’s Forest Inventory and Analysis plots. Future estimates of suitable habitat after climate change were visually more reasonable with BT and RF, with slightly better performance by RF as assessed by Kappa statistics, correlation estimates, and spatial distribution of importance values. Although RTA did not perform as well as BT and RF, it provided interpretive models for species whose distributions were captured well by our current set of predictors. MARS was adequate for predicting current distributions but unacceptable for future climate. We consider RTA, BT, and RF modeling approaches, especially when used together to take advantage of their individual strengths, to be robust for predictive mapping and recommend their inclusion in the ecological toolbox.     

PP333及CCC对香椿试管苗增殖及生根移栽的影响

以MS+6-BA0.2mg·L-1+GA1.0mg·L-1为增殖基本培养基,分别附加不同浓度的PP333及CCC,其中10mg·L-1PP333及70mg·L-1CCC对香椿试管苗增殖生长有促进作用,尤以10mg·L-1PP333效果最好,同时可减轻玻璃化及愈伤组织发生;以1/2MS+IBA1.0mg·L-1为生根基本培养基,分别附加0.1mg·L-1PP333及10mg·L-1CCC,对试管苗生根壮苗有促进作用,而10mg·L-1CCC最适宜,小苗移栽成活率高.     

Structure of the endosomal Commander complex linked to Ritscher-Schinzel syndrome

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Solute carrier family 12 member 8 impacts the biological behaviors of breast carcinoma cells by activating TLR/NLR signaling pathway

This study aimed to understand the expression of solute carrier family 12 member 8 (SLC12A8) in breast carcinoma and its biological functions, as well as its effect on the Toll-like receptor /NOD-like receptor (TLR/NLR) signaling pathway. The expression of SLC12A8 was analyzed using the public RNA sequencing dataset from TCGA database and the two datasets from Oncomine database. The former dataset was also used to evaluate the prognostic value of SLC12A8 in breast carcinoma. Real-time qPCR and western blot were applied to measure relative expression of SLC12A8. Functionally, the effect of SLC12A8 on the cells proliferation and motion was studied using cell counting kit 8 and Transwell assays respectively. Mechanistic studies were conducted using Gene Set Enrichment Analysis (GSEA) and confirmed by western blot. As a result, SLC12A8 was upregulated in breast carcinoma, and high levels of SLC12A8 led to a poorer prognosis and can be regarded as an independent prognosticator for patients with breast carcinoma. Functional experiments demonstrated that SLC12A8-knockdown suppressed while SLC12A8-overexpression elevated the viability, invasiveness and motility of breast carcinoma cells. Furthermore, GSEA indicated that high SLC12A8 was positively correlated with TLR/NLR signaling pathway. Silencing SLC12A8 significantly reduced the protein expression of TLR/NLR-related markers, whereas overexpression of SLC12A8 caused an elevation on the protein expression of these markers. All these data suggested that SLC12A8 plays a promoting effect on the cells viability, invasiveness and motility in breast carcinoma by activating TLR/NLR signaling pathway.Electronic supplementary materialThe online version of this article (10.1007/s10616-020-00439-y) contains supplementary material, which is available to authorized users.