For the 16S-like simulations with 78,132 distinct sequences, we used a maximum-likelihood tree inferred from a non-redundant aligned subset of the full set of 16S sequences ( % identity) by an earlier version of FastTree (1.9) with the Jukes-Cantor model (no CAT). To ensure that the simulated trees were resolvable, which facilitates comparison of methods (but inflates the accuracy of all methods), branch lengths of less than 0.001 were replaced with values of 0.001, which corresponds to roughly one substitution across the internal branch, as the 16S alignment has 1,287 positions. Evolutionary rates for each site were randomly selected from 16 rate categories according to a gamma distribution with a coefficient of variation of 0.7. Given the tree and the rates, sequences were simulated with Rose [34] (link) under the HKY model and no transition bias. To allow Rose to handle branch lengths of less than 1%, we set “MeanSubstitution = 0.00134” and multiplied the branch lengths by 1,000.
Biological Evolution
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Most cited protocols related to «Biological Evolution»
For the 16S-like simulations with 78,132 distinct sequences, we used a maximum-likelihood tree inferred from a non-redundant aligned subset of the full set of 16S sequences ( % identity) by an earlier version of FastTree (1.9) with the Jukes-Cantor model (no CAT). To ensure that the simulated trees were resolvable, which facilitates comparison of methods (but inflates the accuracy of all methods), branch lengths of less than 0.001 were replaced with values of 0.001, which corresponds to roughly one substitution across the internal branch, as the 16S alignment has 1,287 positions. Evolutionary rates for each site were randomly selected from 16 rate categories according to a gamma distribution with a coefficient of variation of 0.7. Given the tree and the rates, sequences were simulated with Rose [34] (link) under the HKY model and no transition bias. To allow Rose to handle branch lengths of less than 1%, we set “MeanSubstitution = 0.00134” and multiplied the branch lengths by 1,000.
We defined ssGSEA based on the signatures related to stromal tissue and immune cell infiltration as stromal and immune scores and combined the stromal and immune scores as the ‘ESTIMATE score’. The formula for calculating ESTIMATE-based tumour purity was developed in TCGA Affymetrix data (n=1,001) including both the ESTIMATE score and ABSOLUTE-based tumour purity. To develop a precise prediction model for tumour purity, we excluded six outliers from all Affymetrix data by computing a multivariate outlier criterion based on the generalized extreme studentized deviate test57 58 using the Bioconductor Parametric and Resistant Outlier Detection (PARODY) package (
Tumour purity=cos (0.6049872018+0.0001467884 × ESTIMATE score). (1)
To simulate alignments with realistic phylogenies and realistic gaps, we used the COG alignments. In each simulation, we selected the desired number of sequences from a COG alignment, we removed positions that were over 25% gaps, we estimated a topology and branch lengths with PhyML (Guindon and Gascuel 2003 (link)), we estimated evolutionary rates across sites with PHYLIP's proml (
Most recents protocols related to «Biological Evolution»
Example 1
95 g of manganese (purity: 99.95%; purchased from Taewon Scientific Co., Ltd.) and 5 g of high-purity graphite (purity: 99.5%; purchased from Taewon Scientific Co., Ltd.) were placed in a water-cooled copper crucible of an argon plasma arc melting apparatus (manufactured by Labold AG, Germany, Model: vacuum arc melting furnace Model LK6/45), and melted at 2,000 K under an argon atmosphere. The melt was cooled to room temperature at a cooling rate of 104 K/min to obtain an alloy ingot. The alloy ingot was crushed to a particle size of 1 mm or less by hand grinding. Thereafter, the obtained powders were magnetically separated using a Nd-based magnet to remove impurities repeatedly, and the Mn4C magnetic powders were collected. The collected Mn4C magnetic powders were subjected to X-ray diffraction (XRD) analysis (measurement system: D/MAX-2500 V/PO, Rigaku; measurement condition: Cu—Kα ray) and energy-dispersive X-ray spectroscopy (EDS) using FE-SEM (Field Emission Scanning Electron Microscope, MIRA3 LM).
As can be seen in
The M-T curve of the field aligned Mn4C powder obtained in Example 1 was measured under an applied field of 4 T and at a temperature ranging from 50 K to 400 K. Meanwhile, the M-T curve of the randomly oriented Mn4C powder was measured under an applied field of 1 T. The Curie temperature of Mn4C was measured under 10 mT while decreasing temperature from 930 K at a rate of 20 K/min.
According to the Néel theory, the ferrimagnets that contain nonequivalent substructures of magnetic ions may have a number of unusual forms of M-T curves below the Curie temperature, depending on the distribution of magnetic ions between the substructures and on the relative value of the molecular field coefficients. The anomalous M-T curves of Mn4C, as shown in
According to one embodiment of the present disclosure, the saturation magnetization of Mn4C increases linearly with increasing temperature within the range of 50 K to 590 K and remains stable at temperatures below 50 K. The increases in anomalous magnetization of Mn4C with increasing temperature can be considered in terms of the Néel's P-type ferrimagnetism. At temperatures above 590 K, the Mn4C decomposes into Mn23C6 and Mn, which are partially oxidized into the manganosite when exposed to air. The remanent magnetization of Mn4C varies little with temperature. The Curie temperature of Mn4C is about 870 K. The positive temperature coefficient (about 0.0072 Am2/kgK) of magnetization in Mn4C is potentially important in controlling the thermodynamics of magnetization in magnetic materials.
The Curie temperature Te of Mn4C is measured to be about 870 K, as shown in
As shown in
The magnetic properties of Mn4C measured are different from the previous theoretical results. A corner MnI moment of 3.85μB antiparallel to three face-centered MnII moments of 1.23μB in Mn4C was expected at 77 K. The net moment per unit cell was estimated to be 0.16μB. In the above experiment, the net moment in pure Mn4C at 77 K is 0.26μB/unit cell, which is much larger than that expected by Takei et al. It was reported that the total magnetic moment of Mn4C was calculated to be about 1μB, which is almost four times larger than the 0.258μB per unit cell measured at 4.2 K, as shown in
The thermomagnetic behaviors of Mn4C are related to the variation in the lattice parameters of Mn4C with temperature. It is known that the distance of near-neighbor manganese atoms plays an important role in the antiferro- or ferro-magnetic configurations of Mn atoms. Ferromagnetic coupling of Mn atoms is possible only when the Mn—Mn distance is large enough.
Thus, it can be seen that the abnormal increase in magnetization of Mn4C with increasing temperature occurs due to the variation in the lattice parameters of Mn4C with temperature.
The powder produced in Example 1 was annealed in vacuum for 1 hour at each of 700 K and 923 K, and then subjected to X-ray spectroscopy, and the results thereof are shown in
The magnetization reduction of Mn4C at temperatures above 590 K is ascribed to the decomposition of Mn4C, which is proved by the XRD patterns of the powders after annealing Mn4C at elevated temperatures.
These results prove that the metastable Mn4C decomposes into stable Mn23C6 at temperatures above 590 K. The presence of Mn4C in the powder annealed at 923 K indicates a limited decomposition rate of Mn4C, from which the Tc of Mn4C can be measured. Both Mn23C6 and Mn are weak paramagnets at ambient temperature and elevated temperatures. Therefore, the magnetic transition of the Mn4C magnetic material at 870 K is ascribed to the Curie point of the ferrimagnetic Mn4C.
The Mn4C shows a constant magnetization of 0.258μB per unit cell below 50 K and a linear increment of magnetization with increasing temperature within the range of 50 K to 590 K, above which Mn23C6 precipitates from Mn4C. The anomalous M-T curves of Mn4C can be considered in terms of the Néel's P-type ferrimagnetism.
Example 1
The authors of the invention have identified 3 micropeptides corresponding to sequences SEQ ID NO: 1, 2 and 3.
The micropeptide of SEQ ID NO 1 is a highly conserved 87 aa micropeptide whose sequence is:
In silico analysis of the amino acid sequence predicts a 3D structure resembling the protein UBIQUITIN (
The micropeptide of SEQ ID NO: 2 is a 64-amino acid micropeptide whose sequence is:
It is encoded by ZEB2 antisense 1 (ZEB2AS1) long non-coding RNA (lncRNA). ZEB2AS1 is a natural antisense transcript corresponding to the 5′ untranslated region (UTR) of zinc finger E-box binding homeobox 2 (ZEB2). The ORF encoding the micropeptide spams part of the second and third exons of the lncRNA. I-Tasser, a 3D protein structure predictor, has been used in order to build a model of SEQ ID NO: 2 micropeptide 3D structure (
The micropeptide of SEQ ID NO: 3 is a 78-amino acid micropeptide encoded by the first exon of LINC0086 lncRNA. Its sequence, highly conserved across evolution is:
In silico analysis of this sequence predicted a tertiary structure (
Example 3
Effectiveness of Newly Evolved TpH Background Strain Using Schistosoma mansoni TpH
One of the 7 evolved high 5HTP-producers was selected to further evaluate if the mutations identified were only specifically beneficial to hsTpH2 or could be widely applicable to others. The chosen evolved strain was first cured to lose the evolution plasmid (e.g. the hsTpH gene) and this was immediately followed by re-introducing the E. coli tyrA gene. Upon restoration of the strain's tyrosine auxotrophy, the resulting strain was transformed with pHM2, which is identical to pHM1 used in the earlier evolution study except that the hsTpH gene was replaced with a Schistosoma mansoni TpH gene (SEQ ID NO:9). The 5HTP production of the resulting strain was compared to a wild-type strain carrying pHM2 in the presence of 100 mg/l tryptophan. Results showed the wild-type transformants could only produce ˜0.05 mg/l 5HTP while the newly evolved background strain transformants accumulated >20 mg/l. These production results demonstrated that the mutations acquired in the evolved background strain were not only beneficial to hsTpH but also to other TpHs; possibly applicable also to other aromatic amino acid hydroxylases (e.g. tyrosine hydroxylase).
Example 7
As evidence of the ability of MD to delay resistance evolution, a model was run with simulations for mating disruption in soy, but not corn. Recall that resistance in the default simulations always evolved first to the single gene Bt-soy and then more slowly to the dual gene Bt-corn. When mating disruption is instead used on soy but not corn, this pattern is reversed, and resistance first evolves to the dual gene corn (
Example 2
40 grams of zinc bromide was dissolved in 100 ml of 98% formic acid. After 1 hour, all of the salt had dissolved and the solution was heated to 80° C. and hydrogen bromide gas evolved. Once evolution of hydrogen bromide gas ceased, the solution was cooled to 15° C. and 2 grams of cotton, a source of native cellulose with a high degree of polymerisation, was dissolved in the mixture.