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Expression dynamics and genome distribution of osmoprotectants in soybean: identifying important components to face abiotic stress

BACKGROUND: Despite the importance of osmoprotectants, no previous in silico evaluation of high throughput data is available for higher plants. The present approach aimed at the identification and annotation of osmoprotectant-related sequences applied to short transcripts from a soybean HT-SuperSAGE...

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Autores principales: Kido, Ederson A, Ferreira Neto, José RC, Silva, Roberta LO, Belarmino, Luis C, Bezerra Neto, João P, Soares-Cavalcanti, Nina M, Pandolfi, Valesca, Silva, Manassés D, Nepomuceno, Alexandre L, Benko-Iseppon, Ana M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548699/
https://www.ncbi.nlm.nih.gov/pubmed/23369061
http://dx.doi.org/10.1186/1471-2105-14-S1-S7
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author Kido, Ederson A
Ferreira Neto, José RC
Silva, Roberta LO
Belarmino, Luis C
Bezerra Neto, João P
Soares-Cavalcanti, Nina M
Pandolfi, Valesca
Silva, Manassés D
Nepomuceno, Alexandre L
Benko-Iseppon, Ana M
author_facet Kido, Ederson A
Ferreira Neto, José RC
Silva, Roberta LO
Belarmino, Luis C
Bezerra Neto, João P
Soares-Cavalcanti, Nina M
Pandolfi, Valesca
Silva, Manassés D
Nepomuceno, Alexandre L
Benko-Iseppon, Ana M
author_sort Kido, Ederson A
collection PubMed
description BACKGROUND: Despite the importance of osmoprotectants, no previous in silico evaluation of high throughput data is available for higher plants. The present approach aimed at the identification and annotation of osmoprotectant-related sequences applied to short transcripts from a soybean HT-SuperSAGE (High Throughput Super Serial Analysis of Gene Expression; 26-bp tags) database, and also its comparison with other transcriptomic and genomic data available from different sources. METHODS: A curated set of osmoprotectants related sequences was generated using text mining and selected seed sequences for identification of the respective transcripts and proteins in higher plants. To test the efficiency of the seed sequences, these were aligned against four HT-SuperSAGE contrasting libraries generated by our group using soybean tolerant and sensible plants against water deficit, considering only differentially expressed transcripts (p ≤ 0.05). Identified transcripts from soybean and their respective tags were aligned and anchored against the soybean virtual genome. RESULTS: The workflow applied resulted in a set including 1,996 seed sequences that allowed the identification of 36 differentially expressed genes related to the biosynthesis of osmoprotectants [Proline (P5CS: 4, P5CR: 2), Trehalose (TPS1: 9, TPPB: 1), Glycine betaine (BADH: 4) and Myo-inositol (MIPS: 7, INPS1: 8)], also mapped in silico in the soybean genome (25 loci). Another approach considered matches using Arabidopsis full length sequences as seed sequences, and allowed the identification of 124 osmoprotectant-related sequences, matching ~10.500 tags anchored in the soybean virtual chromosomes. Osmoprotectant-related genes appeared clustered in all soybean chromosomes, with higher density in some subterminal regions and synteny among some chromosome pairs. CONCLUSIONS: Soybean presents all searched osmoprotectant categories with some important members differentially expressed among the comparisons considered (drought tolerant or sensible vs. control; tolerant vs. sensible), allowing the identification of interesting candidates for biotechnological inferences. The identified tags aligned to corresponding genes that matched 19 soybean chromosomes. Osmoprotectant-related genes are not regularly distributed in the soybean genome, but clustered in some regions near the chromosome terminals, with some redundant clusters in different chromosomes indicating their involvement in previous duplication and rearrangements events. The seed sequences, transcripts and map represent the first transversal evaluation for osmoprotectant-related genes and may be easily applied to other plants of interest.
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spelling pubmed-35486992013-02-04 Expression dynamics and genome distribution of osmoprotectants in soybean: identifying important components to face abiotic stress Kido, Ederson A Ferreira Neto, José RC Silva, Roberta LO Belarmino, Luis C Bezerra Neto, João P Soares-Cavalcanti, Nina M Pandolfi, Valesca Silva, Manassés D Nepomuceno, Alexandre L Benko-Iseppon, Ana M BMC Bioinformatics Research BACKGROUND: Despite the importance of osmoprotectants, no previous in silico evaluation of high throughput data is available for higher plants. The present approach aimed at the identification and annotation of osmoprotectant-related sequences applied to short transcripts from a soybean HT-SuperSAGE (High Throughput Super Serial Analysis of Gene Expression; 26-bp tags) database, and also its comparison with other transcriptomic and genomic data available from different sources. METHODS: A curated set of osmoprotectants related sequences was generated using text mining and selected seed sequences for identification of the respective transcripts and proteins in higher plants. To test the efficiency of the seed sequences, these were aligned against four HT-SuperSAGE contrasting libraries generated by our group using soybean tolerant and sensible plants against water deficit, considering only differentially expressed transcripts (p ≤ 0.05). Identified transcripts from soybean and their respective tags were aligned and anchored against the soybean virtual genome. RESULTS: The workflow applied resulted in a set including 1,996 seed sequences that allowed the identification of 36 differentially expressed genes related to the biosynthesis of osmoprotectants [Proline (P5CS: 4, P5CR: 2), Trehalose (TPS1: 9, TPPB: 1), Glycine betaine (BADH: 4) and Myo-inositol (MIPS: 7, INPS1: 8)], also mapped in silico in the soybean genome (25 loci). Another approach considered matches using Arabidopsis full length sequences as seed sequences, and allowed the identification of 124 osmoprotectant-related sequences, matching ~10.500 tags anchored in the soybean virtual chromosomes. Osmoprotectant-related genes appeared clustered in all soybean chromosomes, with higher density in some subterminal regions and synteny among some chromosome pairs. CONCLUSIONS: Soybean presents all searched osmoprotectant categories with some important members differentially expressed among the comparisons considered (drought tolerant or sensible vs. control; tolerant vs. sensible), allowing the identification of interesting candidates for biotechnological inferences. The identified tags aligned to corresponding genes that matched 19 soybean chromosomes. Osmoprotectant-related genes are not regularly distributed in the soybean genome, but clustered in some regions near the chromosome terminals, with some redundant clusters in different chromosomes indicating their involvement in previous duplication and rearrangements events. The seed sequences, transcripts and map represent the first transversal evaluation for osmoprotectant-related genes and may be easily applied to other plants of interest. BioMed Central 2013-01-14 /pmc/articles/PMC3548699/ /pubmed/23369061 http://dx.doi.org/10.1186/1471-2105-14-S1-S7 Text en Copyright ©2013 Kido et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Kido, Ederson A
Ferreira Neto, José RC
Silva, Roberta LO
Belarmino, Luis C
Bezerra Neto, João P
Soares-Cavalcanti, Nina M
Pandolfi, Valesca
Silva, Manassés D
Nepomuceno, Alexandre L
Benko-Iseppon, Ana M
Expression dynamics and genome distribution of osmoprotectants in soybean: identifying important components to face abiotic stress
title Expression dynamics and genome distribution of osmoprotectants in soybean: identifying important components to face abiotic stress
title_full Expression dynamics and genome distribution of osmoprotectants in soybean: identifying important components to face abiotic stress
title_fullStr Expression dynamics and genome distribution of osmoprotectants in soybean: identifying important components to face abiotic stress
title_full_unstemmed Expression dynamics and genome distribution of osmoprotectants in soybean: identifying important components to face abiotic stress
title_short Expression dynamics and genome distribution of osmoprotectants in soybean: identifying important components to face abiotic stress
title_sort expression dynamics and genome distribution of osmoprotectants in soybean: identifying important components to face abiotic stress
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548699/
https://www.ncbi.nlm.nih.gov/pubmed/23369061
http://dx.doi.org/10.1186/1471-2105-14-S1-S7
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