斑地锦RT-qPCR内参基因的筛选

实时荧光定量PCR(RT-qPCR)的前提条件之一是具有合适的内参基因。为筛选斑地锦(Euphorbia maculata)合适的RT-qPCR内参基因,该文利用同源克隆法克隆斑地锦GAPDH、EF-1α、act、UBQ、TUB-α、eIF-4A、CYP等基因片段,RT-qPCR检测7个候选内参基因在斑地锦不同生长期根、茎、叶和果实中的表达情况,并用geNorm、NormFinder和BestKeeper等生物学软件对各候选基因表达稳定性进行评价。结果表明:(1)克隆的GAPDH、EF-1α、act、UBQ、TUB-α、eIF-4A、CYP基因片段为729、808、753、422、233、656、313 bp,分别编码242、269、250、140、77、218、103个氨基酸,与其他植物相应氨基酸序列的最高同源性均在85%以上。(2)综合3个分析软件分析内参基因表达稳定性得出,表达稳定性排名为UBQ>EF-1α>TUB-α>eIF-4A>GAPDH>CYP>act。因此,可以选取UBQ作为斑地锦RT-qPCR分析的内参基因,用于不同生长期基因组织特异性表达研究。     

蜜环菌(Armillaria mellea)内参基因的筛选

[背景]蜜环菌属(Armillaria)是一类营腐生或寄生生活的药食两用型真菌,研究其功能基因表达具有重要意义。[目的]筛选并获得蜜环菌(Armillaria mellea)最稳定的内参基因。[方法]以蜜环菌(A.mellea)541为研究对象,以马铃薯琼脂糖培养基培养的菌丝和菌索为对照组,以添加还原型烟酰胺腺嘌呤二核苷酸磷酸(nicotinamide adenine dinucleotide phosphate,NADPH)氧化酶抑制剂氯化二亚苯基碘鎓(diphenyleneiodonium chloride,DPI)培养的菌丝和菌索为抑制剂组,以添加木屑培养的菌丝和菌索为诱导剂组,利用RT-qPCR技术和BestKeeper程序系统评估候选内参基因ACT-1、α-TUB、β-TUB 1、γ-TUB、UBQ、EF-lγ、18S rRNA biogenesis protein基因(18S rRNA BP)和GAPDH的表达量稳定性。[结果]内参基因EF-1γ在对照组、DPI抑制剂组和木屑诱导剂组中的表达量稳定性最好。[结论]EF-1γ为蜜环菌(A.mellea)的最佳内参基因,为蜜环菌属真菌功能基因表达研究提供了参考。     

夜香树花期荧光定量PCR内参基因的筛选

为筛选夜香树（Cestrum nocturnum L.）香气释放、生物钟等相关基因表达研究适用的内参基因,本研究采用夜香树盛花期叶片和花为实验材料,利用同源克隆和RACE技术,获得了夜香树6种经典的内参基因序列,分别为：Actb7、EF-1A、GAPDH、TUA、TUB2、UBQ;采用荧光定量PCR方法对18s rRNA和这6个内参基因的表达模式进行了分析,并通过Bestkeeper、geNorm、NormFinder 3种程序分析了内参基因的稳定性。结果表明,在花中,Actb7表达最稳定;在叶片中,EF-1A和UBQ的表达比较稳定;在2种组织中,EF-1A的表达相对稳定。3组稳定性分析中,geNorm程序确定的最佳内参基因数目均为2,最佳内参基因组合均为Actb7/EF-1A。本研究通过对稳定内参基因的筛选,以期为准确检测夜香树盛花期花瓣节律运动、香气释放、生物钟变化等相关基因的表达研究奠定基础。     

冬虫夏草菌实时荧光定量PCR内参基因的筛选

以冬虫夏草单子囊孢子分离得到的菌株TZ8-1的3种菌丝形态为实验材料,提取RNA,经反转录获取cDNA,选择了11个持家基因为候选内参基因（18S rRNA、APRTase、β-TUB、RPL2、EF1-α、PGI、PGM、H⁺-ATPase、ACT1、UBQ和GAPDH）,根据该菌基因组注释结果来设计引物,采用实时荧光定量PCR（qRT-PCR）技术进行定量扩增,利用geNorm、NormFinder和BestKeeper算法程序进行表达稳定性评估,并用RefFinder对评估结果进行综合排比,最终筛选得到了最适内参基因。结果表明,所选取的11个候选内参基因均可作为冬虫夏草菌菌丝体时期的内参基因,稳定性最好的3个内参基因分别是UBQ、PGE和ACT1,稳定性较差的3个内参基因分别是GAPDH、RPL2和β-TUB。     

Validation of Reference Housekeeping Genes for Gene Expression Studies in Western Corn Rootworm (Diabrotica virgifera virgifera)

Quantitative Real-time PCR (qRT-PCR) is a powerful technique to investigate comparative gene expression. In general, normalization of results using a highly stable housekeeping gene (HKG) as an internal control is recommended and necessary. However, there are several reports suggesting that regulation of some HKGs is affected by different conditions. The western corn rootworm (WCR), Diabrotica virgifera virgifera LeConte (Coleoptera: Chrysomelidae), is a serious pest of corn in the United States and Europe. The expression profile of target genes related to insecticide exposure, resistance, and RNA interference has become an important experimental technique for study of western corn rootworms; however, lack of information on reliable HKGs under different conditions makes the interpretation of qRT-PCR results difficult. In this study, four distinct algorithms (Genorm, NormFinder, BestKeeper and delta-CT) and five candidate HKGs to genes of reference (β-actin; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; β-tubulin; RPS9, ribosomal protein S9; EF1a, elongation factor-1α) were evaluated to determine the most reliable HKG under different experimental conditions including exposure to dsRNA and Bt toxins and among different tissues and developmental stages. Although all the HKGs tested exhibited relatively stable expression among the different treatments, some differences were noted. Among the five candidate reference genes evaluated, β-actin exhibited highly stable expression among different life stages. RPS9 exhibited the most similar pattern of expression among dsRNA treatments, and both experiments indicated that EF1a was the second most stable gene. EF1a was also the most stable for Bt exposure and among different tissues. These results will enable researchers to use more accurate and reliable normalization of qRT-PCR data in WCR experiments.     

Selection and Evaluation of Reference Genes for Expression Analysis Using qRT-PCR in the Beet Armyworm Spodoptera exigua (Hübner) (Lepidoptera: Noctuidae)

Quantitative real-time PCR (qRT-PCR) is a reliable and reproducible technique for measuring and evaluating changes in gene expression. The most common method for analyzing qRT-PCR data is to normalize mRNA levels of target genes to internal reference genes. Evaluating and selecting stable reference genes on a case-by-case basis is critical. The present study aimed to facilitate gene expression studies by identifying the most suitable reference genes for normalization of mRNA expression in qRT-PCR analysis of the beet armyworm Spodoptera exigua (Lepidoptera: Noctuidae). For this purpose, three software tools (geNorm, NormFinder and BestKeeper) were used to investigate 10 candidate reference genes in nine developmental stages and five different tissues (epidermis, head, midgut, fat body and hemolymph) in three larval physiological stages (molting, feeding and wandering stages) of, S. exigua. With the exception of 18S ribosomal RNA (18S), all other candidate genes evaluated, β-actin1(ACT1), β-actin2 (ACT2), elongation factor1(EF1), elongation factor 2 (EF2), Glyceralde hyde-3-phosphate dehydrogenase (GAPDH), ribosomal protein L10 (L10), ribosomal protein L17A (L17A), superoxide dismutase (SOD), α-tubulin (TUB),proved to be acceptable reference genes. However, their suitability partly differed between physiological stages and different tissues. L10, EF2 and L17A ranked highest in all tissue sample sets. SOD, ACT2, GAPDH, EF1 and ACT1 were stably expressed in all developmental stage sample sets; ACT2, ACT1 and L10 for larvae sample sets; GAPDH, ACT1 and ACT2 for pupae and adults; SOD and L17A for males; and EF2 and SOD for females. The expression stability of genes varied in different conditions. The findings provided here demonstrated, with a few exceptions, the suitability of most of the 10 reference genes tested in tissues and life developmental stages. Overall, this study emphasizes the importance of validating reference genes for qRT-PCR analysis in S. exigua.     

Evaluation and validation of internal control genes for studying gene expression in the dinoflagellate Prorocentrum minimum using real-time PCR

Housekeeping genes (HKGs) are required for the normalization of expression levels in real-time PCR, and their selection is critical for gene expression studies. However, stable expressions of candidate HKGs vary among organisms and tissues and even according to environmental conditions. Here, we evaluated the gene expressions of 10 frequently used HKGs, including 18S rRNA, P2, ACT, TUA, TUB, CYC, eIF4E, MDH, UBQ, and GAPDH, with a total of 17 RNA samples extracted from the dinoflagellate Prorocentrum minimum. All the RNAs were prepared from various cells cultured under different conditions, including thermal shocks, toxic chemical exposures, and different life stages. Via C(T) analyses of the 10 HKGs using the geNorm software, TUA was selected as the most stable HKG for gene expression studies of the dinoflagellate, followed by MDH. Pair-wise variation (V) analysis showed that at least 2 genes were required for accurate normalization of gene expression studies depending on the experimental conditions. These HKGs are useful internal controls for the normalization of gene expression in P. minimum.     

Reference Genes Selection for Quantitative Real-Time PCR Using RankAggreg Method in Different Tissues of Capra hircus

Identification of reference genes with stable levels of gene expression is an important prerequisite for obtaining reliable results in analysis of gene expression data using quantitative real time PCR (RT-qPCR). Since the underlying assumption of reference genes is that expressed at the exact same level in all sample types, in this study, we evaluated the expression stability of nine most commonly used endogenous controls (GAPDH, ACTB, 18S rRNA, RPS18, HSP-90, ALAS, HMBS, ACAC, and B2M) in four different tissues of the domestic goat, Capra hircus, including liver, visceral, subcutaneous fat and longissimus muscles, across different experimental treatments (a standard diet prepared using the NRC computer software as control and the same diet plus one mg chromium/day). We used six different software programs for ranking of reference genes and found that individual rankings of the genes differed among them. Additionally, there was a significant difference in ranking patterns of the studied genes among different tissues. A rank aggregation method was applied to combine the ranking lists of the six programs to a consensus ranking. Our results revealed that HSP-90 was nearly always among the two most stable genes in all studied tissues. Therefore, it is recommended for accurate normalization of RT-qPCR data in goats, while GAPDH, ACTB, and RPS18 showed the most varied expressions and should be avoided as reference genes.     

Diurnal feeding as a potential mechanism of osmoregulation in aphids

Diurnal variation in phloem sap composition has a strong infuence on aphid performance.The sugar-rich phloem sap serves as the sole diet for aphids and a suite of physiological mechanisms and behaviors allowv them to tolerate the high osmotic stress.Here,we tested the hypothesis that night-time feeding by aphids is a behavior that takes advantage of the low sugar diet in the night to compensate for osmotic stress incurred while feeding on high sugar diet during the day.Using the electrical penetration graph(EPG)technique.we examined the eiects of diurmal rhythm on feeding behaviors of bird cherry-oat aphid(Rhopalosiphurm padi L.)on wheat.A strong diurmal rhythm in aphids as indicated by the presence of a cyclical pattern of expression in a core clock gene did not impact aphid feeding and similar feeding behaviors were observed during day and night.The major difference observed between day and night feeding was that aphids spent significantly longer time in phloem salivation during the night compared to the day.In contrast,aphid hydration was reduced at the end of the day-time feeding compared to end of the night-time fepding.Gene expression analysis of R.padi osmoregulatory genes indicated that sugar break down and water transport into the aphid gut was reduced at night.These data suggest that while diumal variation occurs in phloem sap composition,aphids use night time feeding to overcome the high osmotic stress incurred while feeding on sugar-rich phloem sap during the day.