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Analysis of Heat Shock Proteins Based on Amino Acids for the Tomato Genome
This research aimed to investigate heat shock proteins in the tomato genome through the analysis of amino acids. The highest length among sequences was found in seq19 with 3534 base pairs. This seq19 was reported and contained a family of proteins known as HsfA that have a domain of transcriptional...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690137/ https://www.ncbi.nlm.nih.gov/pubmed/36360251 http://dx.doi.org/10.3390/genes13112014 |
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author | Almutairi, Meshal M. Almotairy, Hany M. |
author_facet | Almutairi, Meshal M. Almotairy, Hany M. |
author_sort | Almutairi, Meshal M. |
collection | PubMed |
description | This research aimed to investigate heat shock proteins in the tomato genome through the analysis of amino acids. The highest length among sequences was found in seq19 with 3534 base pairs. This seq19 was reported and contained a family of proteins known as HsfA that have a domain of transcriptional activation for tolerance to heat and other abiotic stresses. The values of the codon adaptation index (CAI) ranged from 0.80 in Seq19 to 0.65 in Seq10, based on the mRNA of heat shock proteins for tomatoes. Asparagine (AAT, AAC), aspartic acid (GAT, GAC), phenylalanine (TTT, TTC), and tyrosine (TAT, TAC) have relative synonymous codon usage (RSCU) values bigger than 0.5. In modified relative codon bias (MRCBS), the high gene expressions of the amino acids under heat stress were histidine, tryptophan, asparagine, aspartic acid, lysine, phenylalanine, isoleucine, cysteine, and threonine. RSCU values that were less than 0.5 were considered rare codons that affected the rate of translation, and thus selection could be effective by reducing the frequency of expressed genes under heat stress. The normal distribution of RSCU shows about 68% of the values drawn from the standard normal distribution were within 0.22 and −0.22 standard deviations that tend to cluster around the mean. The most critical component based on principal component analysis (PCA) was the RSCU. These findings would help plant breeders in the development of growth habits for tomatoes during breeding programs. |
format | Online Article Text |
id | pubmed-9690137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96901372022-11-25 Analysis of Heat Shock Proteins Based on Amino Acids for the Tomato Genome Almutairi, Meshal M. Almotairy, Hany M. Genes (Basel) Article This research aimed to investigate heat shock proteins in the tomato genome through the analysis of amino acids. The highest length among sequences was found in seq19 with 3534 base pairs. This seq19 was reported and contained a family of proteins known as HsfA that have a domain of transcriptional activation for tolerance to heat and other abiotic stresses. The values of the codon adaptation index (CAI) ranged from 0.80 in Seq19 to 0.65 in Seq10, based on the mRNA of heat shock proteins for tomatoes. Asparagine (AAT, AAC), aspartic acid (GAT, GAC), phenylalanine (TTT, TTC), and tyrosine (TAT, TAC) have relative synonymous codon usage (RSCU) values bigger than 0.5. In modified relative codon bias (MRCBS), the high gene expressions of the amino acids under heat stress were histidine, tryptophan, asparagine, aspartic acid, lysine, phenylalanine, isoleucine, cysteine, and threonine. RSCU values that were less than 0.5 were considered rare codons that affected the rate of translation, and thus selection could be effective by reducing the frequency of expressed genes under heat stress. The normal distribution of RSCU shows about 68% of the values drawn from the standard normal distribution were within 0.22 and −0.22 standard deviations that tend to cluster around the mean. The most critical component based on principal component analysis (PCA) was the RSCU. These findings would help plant breeders in the development of growth habits for tomatoes during breeding programs. MDPI 2022-11-02 /pmc/articles/PMC9690137/ /pubmed/36360251 http://dx.doi.org/10.3390/genes13112014 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Almutairi, Meshal M. Almotairy, Hany M. Analysis of Heat Shock Proteins Based on Amino Acids for the Tomato Genome |
title | Analysis of Heat Shock Proteins Based on Amino Acids for the Tomato Genome |
title_full | Analysis of Heat Shock Proteins Based on Amino Acids for the Tomato Genome |
title_fullStr | Analysis of Heat Shock Proteins Based on Amino Acids for the Tomato Genome |
title_full_unstemmed | Analysis of Heat Shock Proteins Based on Amino Acids for the Tomato Genome |
title_short | Analysis of Heat Shock Proteins Based on Amino Acids for the Tomato Genome |
title_sort | analysis of heat shock proteins based on amino acids for the tomato genome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690137/ https://www.ncbi.nlm.nih.gov/pubmed/36360251 http://dx.doi.org/10.3390/genes13112014 |
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