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  • Phylogenetic tree for Gelechioidea. The tree was constructed using nucleotide sequences of 13 protein-coding genes, two rRNA genes, and 22 tRNA genes via the Bayesian inference method. The numbers at each node indicate the Bayesian posterior probabilities. The scale bar indicates the number of substitutions per site. Two species belonging to the family Gracillariidae in Gracillarioidea were used as outgroups. GenBank accession numbers are as follows: Perimede sp., KJ508041 (Timmermans et al. 2014); Ethmia eupostica, KJ508047 (Timmermans et al. 2014); Helcystogramma macroscopa, KT354968 (Ma et al. 2016); Dichomeris ustalella, KU366706 (Park et al. 2016b); Pectinophora gossypiell, KM225795 (Zhao et al. 2016); Tecia solanivora, KT326187 (Ramírez-Ríos et al. 2016); Mesophleps albilinella, KU366707 (Park et al. 2016b); Promalactis suzukiella, KM875542 (Park et al. 2016c); Stathmopoda auriferella, KX138529 (Jeong et al. 2016); Hieromantis kurokoi, KU605775 (Park et al. 2016a); Atrijuglans hetaohei, KT581634 (Wang et al. 2016); Endrosis sarcitrella, KJ508037 (Timmermans et al. 2014); Oegoconia novimundi, KJ508036 (Timmermans et al. 2014); Phyllonorycter froelichiella, KJ508048 (Timmermans et al. 2014); and Cameraria ohridella, KJ508042 (Timmermans et al. 2014).
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  • Raw images from western blots, immunofluorescence microscopy and EM.
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  • Here we present the first demonstration of the use of eggshell membrane for research on endangered Maleo (Macrocephalon maleo). We used 24 post-hatched eggshell membranes collected from two different sites, Tambun and Tanjung Binerean, in North Sulawesi, 12 samples in each. Two different DNA extraction methods: alkaline lysis method and gSYNCTM DNA Extraction Kit were applied. To determine the sex of Maleo, we utilized PCR-based DN A sexing using CHD genes, with the primer set 2550F/2718R. We successfully extracted all samples; mean sample concentration was 267.5 ng/µl (range 47–510.5 ng/µl) and samples were of high purity (A 260/280 ratio 1.85±0.03). All samples were used to successfully identified sexes, 9 females and 15 males. Our research clearly illustrates that eggshell membranes can be used for DNA sexing and open the possibility to build noninvasive DNA collections over large spatial scales for population study of endangered birds. The data consist of A. Electrophoresis photos of (1). DNA extraction of Maleo from eggshell membrane, collected from Tambun and Tanjung Binerean, North Sulawesi, from 4th April until 1st May 2018. We used gSYNCTM DNA Extraction Kit (Genaid) followed the provided user manual with little modifications to isolate the DNA frm the eggshell membrane. The eluded DNA (1 µl) was quantified using NanoVue Plus™ (Biochrom, Harvard Bioscience, Inc), at A260 nm. The 260/280 nm absorbance ratio was measured to give an indication of purity of the DNA. (2). PCR products of molecular sexing, using lysate and extracted DNA. We applied PCR based DNA sexing by using CHD genes, with the primer set 2550F/2718R (28). PCR used a 10 µl total volume containing template DNA (genomic DNA or lysate), 1.2 µl sterile dH2O, 5 µl 2x PCR buffer KOD FX Neo, 2 µl dNTPs (2 mM), (TOYOBO Co. Ltd.), 0.3 µl Primer 2550F (10 µM; 5'-GTT ACT GAT TCG TCT ACG AGA-3'), and 0.3 µl Primer 2718R (10 µM; 5'-ATT GAA ATG ATC CAG TGC TTG-3', (28)), and 0.2 U KOD polymerase enzyme. PCR was carried out in a Veriti™ 96-well thermal cycler (Applied Biosystems™). For genomic DNA templates, the following profile was used: 1 cycle at 94℃ for 2 min followed by 35 cycles of 98℃ for 10 sec, 53℃ for 30 sec and 68℃ for 45 sec;, and a final extension at 68℃ for 7 minutes. For lysate as DNA template, the PCR profiles was the same for DNA genome, except that it was run for more cycles (40x). B. Sequences of CHD-W and CHD-Z genes of Maleo The electrophoresis gels were cut on upper and lower bands for female sample and single band for male sample, then purified for sequencing. The sequence reactions were carried for both direction in sequencing services laboratory provided by 1st BASE Laboratories (Apical Scientific Sdn Bhd), Malaysia.
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  • Source data for figures in the related paper, including raw data underlying graphs and uncropped versions of gels or blots presented in the figures
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  • Smoke Test (HomeWiFI) 28May2020 natscilivecustomer (Dataset-1)
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  • Study question Is it effective for patients taking dienogest to use progestin-primed ovarian stimulation (PPOS) protocol during controlled ovarian hyperstimulation (COH), compared to PPOS with dydrogesterone (DYG)? Study answer Patients taking dienogest can continue the endometriosis treatment and get good quality embryo using PPOS during COH, despite they have severe ovarian endometriosis. What is known already Dienogest is an oral progestin effective for the treatment of symptomatic endometriosis, such as reduction of endometrial lesion and control of pain intensity with safe profile and good tolerability. Dienogest also provides complete ovulation inhibition at a daily dose of 2mg, and a rapid recovery of ovarian function after cessation of its administration. PPOS is a new COH regimen using a progestin as alternative to GnRH antagonist for blocking LH surge, and several reports have shown that DYG is an appropriate progestin for PPOS protocol. However, dienogest has not been used in PPOS protocol yet. Study design, size, duration This was a prospective controlled study of 145 women with endometriosis (aged <41) undergoing COH for IVF/ICSI and frozen embryo transfer (FET) at our infertility center from February in 2018 to November in 2019. The patients taking dienogest were allocated in Study group, and the other patients taking PPOS with DYG were allocated in Control group. Participants/ Materials, setting, methods A total of 145 patients were analyzed, PPOS with DNG: 71 patients, PPOS with DYG: 74 patients. Of the participants, 111 patients were histologically confirmed as endometriosis and 39 patients were diagnosed with published imaging criteria using transvaginal ultrasonography, respectively. Patients took DNG 2mg continuously in DNG group, and DYG were started day 3 of COH cycle. Patients were administrated with 150-225 IU of human menopausal gonadotropin (hMG) daily for COH. All viable embryos were cryopreserved for later transfer. The primary outcome measure was the clinical pregnancy rate. Main Results The number of oocytes retrieved in DNG group was less than that of DYG group (6.18±3.60 vs. 9.85±5.77, P<0.001), however, the rate of mature oocytes in DNG group was significantly higher than in DYG group [89.1% (391/439) vs. 78.9% (575/729), P<0.001].The fertilization rate was comparable between the two groups (C-IVF; 69.0% for DNG group vs. 65.1% for DYG group, P=0.510, ICSI; 80.1% for DNG protocol vs. 78.2% for DYG group, P=0.558). The clinical pregnancy rate [Odds ratio (OR) 1.15, 95%CI: 0.69~1.94, P=0.579 ] :50.5% (54/107) for DNG group vs.46.8% (59/126) for DYG group. The ongoing pregnancy rate [OR 0.70, 95%CI: 0.45~1.61, P=0.323]:55.2% (37/67) for DNG group vs.63.6% (42/66) for DYG group did not differ between the two groups.
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  • This dataset supplements the Material and Methods section of the paper "The Leishmania donovani species complex: a new insight into taxonomy". It includes the codes and data used to perform the SH test on PAUP* v 4.0a165, as well as the codes, raw data and matrices used to perform the Mantel test on the package ade4 of R software.
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  • Glyphosate (GLYPH) is an herbicide that is commonly used in agriculture and is the active ingredient in Roundup. Studies have shown that ingestion of GLYPH by honeybees increases the susceptibility of the insects to natural infection, a phenomenon attributed to perturbation of the resident gut microbiome. One of the aims of this study was to determine if GLYPH has similar effects on the microbiome of Anopheles gambiae mosquitoes. Mosquitoes were drugged with varying doses of GLYPH, and their gut microbiota were analyzed by 16S rRNA amplicon sequencing. Results indicate that while GLYPH does not alter the bacterial load of the A. gambiae gut microbiome, the makeup of the community is altered in a dose-independent manner.
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    • Sequencing Data
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  • Do you lose control by investing in risky securities? Are low risky investments the best options for those who like to play it safe? Why do people speculate in risky assets? What is value investing and why do legends like Warren Buffet and Peter Lynch prefer value investing? This research will address these questions and will focus on busting the financial myth of “You need to speculate to accumulate”. It will analyze the returns generated by stocks having high risk and stocks having low risk linked to a real-time basis by taking the historical prices. The paper will conduct hypothesis testing regarding the statement proposed that whether risky investments generate higher returns or not. The research will give light on Low-volatility anomaly and will provide a solution in determining which kind of stock will be a safer bet to generate higher returns in a longer time frame. The research will consider the financials of the riskiest stocks in the past few years and will analyze their return accordingly.
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  • This dataset consists of raw sequencing data (fasta) and analysed relative abundance data (histograms of the dominant 10 species in respective taxonomic ranks ). This project shows the first bacterial diversity profiling of high-microbial-abundance wild tropical marine sponges of southern South China Sea, which are Aaptos aaptos and Xestospongia muta from Bidong and Redang islands, Malaysia. Marine sponges are acknowledged as a bacterial hotspot and resource of novel natural products or genetic material. However, sponge-associated bacteria are difficult to be cultivated and the production of their desirable metabolites are inadequate in terms of rate and quantity, yet bioinformatics and metagenomics tools are progressing. Therefore, the diversity profiling of bacterial communities in marine sponges reveals the approximate gene pool for the gene mining or isolation of bacteria that are potentially and commercially beneficial in manufacturing industry, medicine, or agriculture. The bacterial community data exploited from this project is useful for critical comparison through additional or integrated bioinformatics processing with other marine sponge-associated bacterial community profile data. The community data of this project also unveils some general physiological function of the sponge-associated bacterial assemblage in its local environment. In the data provided, the sponge-associated bacterial communities in A. aaptos of Pulau Bidong, A. aaptos of Pulau Redang, and X. muta of Pulau Bidong have been denoted by A, B, and M, respectively.
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