Showing posts with label chromosomes. Show all posts
Showing posts with label chromosomes. Show all posts

Monday, 3 April 2023

Karyological Analysis of the Subfamily Chrysomelinae (Coleoptera: Chrysomelidae) | Chapter 9 | Cutting Edge Research in Biology Vol. 5

 This affiliate wants to update the karyotypic dossier in the Chrysomelinae subfamily to increase our cytogenetic and evolutionary knowledge on the deoxyribonucleic acid numbers, sex-deoxyribonucleic acid systems and chromosomal construction of 259 species and chromosomal races in the seven present subtribes. The type has shown a roomy range of diploid numbers from 2n = 12 to 2n = 50, and four types of male sexuality-chromosome systems, accompanying the “parachute-like” one, Xyp and XYp, clearly dominant (81.1%), but with the X0 well-presented too (17.4%). The modal haploid number is n = 12, though it is not the assumptive most plesiomorph for the whole type because in the subtribe Timarchina of Timarchini tribe, the modal number is n = 10 (51.2%), in accordance with the ancestral number for the Polyphaga suborder of Coleoptera, and in the subtribe Chrysomelina of the family Chrysomelini, is n = 17 in all the up until now studied 35 variety of this taxon. The karyotypes of 66 variety of ten genera are resolved by measuring the relative length of intensity for each deoxyribonucleic acid of them. The grade of asymmetry in proportion of their chromosomes was reported from the standard changes (SD) of relative sizes which showed a negative equivalence with the haploid deoxyribonucleic acid numbers (r = - 0.29), thereby the karyotypes of extreme chromosome numbers are usually more symmetrical than those of reduced numbers. Most  species of Chrysolina of the alike subgenus share the same chromosome number and sexuality-chromosome order, but differ in the amount of bigger chromosome weaponry (FN = fundamental number). A striking irregularity to this agreement 'tween karyology and taxonomy are the species of subgenus Stichoptera of Chrysolina, that have a wide difference in their diploid numbers from 2n = 22 to 2n = 34 chromosomes but giving asymmetric karyotypes. All these close karyotypic correspondences shown between species of Chrysolina owned by the same subgenus are supported by the microscopic phylogenetic forests based on DNA sequences of linked nuclear and mitochondrial genes. Some type of Chrysomelinae are highly changeable in the chromosome numbers of their variety, namely Chrysolina, Cyrtonus and Timarcha, while others are unusually conservative, such as Calligrapha (except any polyploid parthenotes), Leptinotarsa and Oreina, and these differences are conferred. The scarce results got on C-banding of heterochromatin, satellite DNA and nucleolar systematizing regions (NORs) support a pericentromeric, and less often again, distal location of narrow amounts of heterochromatin, common extensive species-distinguishing satellite DNAs, and only a sole NOR, mostly in an autosomic pair. The genome sizes in 20 variety of this subfamily range from 1C = 0.20 pg to 1C = 3.69 pg and they are different with deoxyribonucleic acid numbers, though the species of subtribes Timarchina and Chrysolinina plus Leptinotarsa decemlineata (Colorado vegetable beetle) appear to have higher genome sizes than an outnumbered group checked  of Chrysomelina subtribe.

Author(s) Details:

Eduard Petitpierre,
Department of Biology, University of Balearic Islands, 07122 Palma de Mallorca, Spain.

Please see the link here: https://stm.bookpi.org/CERB-V5/article/view/9883

Friday, 14 October 2022

Computation of Optimal Cross Section of Gravity Dams Using Genetic Algorithms | Chapter 1 | Current Overview on Science and Technology Research Vol. 6

 The construction of gravity dams uses an interactive method involving preliminary layout of the structure followed by stability and stress studies. In this study, we present a method to define the optimal cross-sectional area of ​​weight dams determined using genetic algorithms. To solve the optimization task (minimization of dumb costs), an optimization routine based on genetic algorithms (GA) was implemented in a Microsoft Excel spreadsheet. It proved adequate and the GA parameters were optimized in a parametric study. Using the parameters found in the parametric study, we determined the top width of the heavy wall and compared it with the slope-based optimization method (traditional method). The agreement between the two approaches was excellent. For the optimal dam cross-section, the ratio of dam base to dam height is ~0.85 and the ratio of dam crest width to dam height is ~0.13. This computational approach allows the calculation of the optimal top width for a wide range of gravity dam heights.


Author(s) Details:

Farzin Salmasi,
Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.

John Abraham,
University of St. Thomas, Minnesota, School of Engineering 2115 Summit Avenue St. Paul, Minnesota 55105, USA.

Please see the link here: https://stm.bookpi.org/COSTR-V6/article/view/8411


Friday, 15 October 2021

Study on Electron Tunneling in Microtubules: A Model Explaining Both Mendelian Genetics and Quantum Computing Memory | Chapter 06 | New Frontiers in Medicine and Medical Research Vol. 17

 The Boveri-Sutton theory explains the independent and random assortment of Mendelian genes predicted by the microtubule tunnelling model. The driving electro chemistry for chromosomes to move at the same speed is electron tunnelling from the centriole to the kinetochore. The use of microtubules as quantum computational molecules has been proposed. It's also been suggested that they may be used as discrete on-off bit computation molecules. Both contexts of computing can be used to understand the microtubule model.


Author(S) Details

George Pieczenik
Mt. Sinai Hospital, New York, USA. and Harvard University, Cambridge, Massachusetts, USA. and Medical Research Council of Molecular Biology, Hills Road, Cambridge, England (Visiting Scientist), UK.

Srul David Pieczenik
Mt. Sinai Hospital, New York, USA and Universitee de Toulouse, L’Ecole de Medecine. Toulouse, France

View Book:- https://stm.bookpi.org/NFMMR-V17/article/view/4200