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Genome-wide association study and population structure analysis of seed-bound amino acids and total protein in watermelon

BACKGROUND: Watermelon seeds are a powerhouse of value-added traits such as proteins, free amino acids, vitamins, and essential minerals, offering a paleo-friendly dietary option. Despite the availability of substantial genetic variation, there is no sufficient information on the natural variation i...

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Autores principales: Joshi, Vijay, Nimmakayala, Padma, Song, Qiushuo, Abburi, Venkata, Natarajan, Purushothaman, Levi, Amnon, Crosby, Kevin, Reddy, Umesh K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533027/
https://www.ncbi.nlm.nih.gov/pubmed/34722000
http://dx.doi.org/10.7717/peerj.12343
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author Joshi, Vijay
Nimmakayala, Padma
Song, Qiushuo
Abburi, Venkata
Natarajan, Purushothaman
Levi, Amnon
Crosby, Kevin
Reddy, Umesh K.
author_facet Joshi, Vijay
Nimmakayala, Padma
Song, Qiushuo
Abburi, Venkata
Natarajan, Purushothaman
Levi, Amnon
Crosby, Kevin
Reddy, Umesh K.
author_sort Joshi, Vijay
collection PubMed
description BACKGROUND: Watermelon seeds are a powerhouse of value-added traits such as proteins, free amino acids, vitamins, and essential minerals, offering a paleo-friendly dietary option. Despite the availability of substantial genetic variation, there is no sufficient information on the natural variation in seed-bound amino acids or proteins across the watermelon germplasm. This study aimed to analyze the natural variation in watermelon seed amino acids and total protein and explore underpinning genetic loci by genome-wide association study (GWAS). METHODS: The study evaluated the distribution of seed-bound free amino acids and total protein in 211 watermelon accessions of Citrullus spp, including 154 of Citrullus lanatus, 54 of Citrullus mucosospermus (egusi) and three of Citrullus amarus. We used the GWAS approach to associate seed phenotypes with 11,456 single nucleotide polymorphisms (SNPs) generated by genotyping-by-sequencing (GBS). RESULTS: Our results demonstrate a significant natural variation in different free amino acids and total protein content across accessions and geographic regions. The accessions with high protein content and proportion of essential amino acids warrant its use for value-added benefits in the food and feed industries via biofortification. The GWAS analysis identified 188 SNPs coinciding with 167 candidate genes associated with watermelon seed-bound amino acids and total protein. Clustering of SNPs associated with individual amino acids found by principal component analysis was independent of the speciation or cultivar groups and was not selected during the domestication of sweet watermelon. The identified candidate genes were involved in metabolic pathways associated with amino acid metabolism, such as Argininosuccinate synthase, explaining 7% of the variation in arginine content, which validate their functional relevance and potential for marker-assisted analysis selection. This study provides a platform for exploring potential gene loci involved in seed-bound amino acids metabolism, useful in genetic analysis and development of watermelon varieties with superior seed nutritional values.
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spelling pubmed-85330272021-10-29 Genome-wide association study and population structure analysis of seed-bound amino acids and total protein in watermelon Joshi, Vijay Nimmakayala, Padma Song, Qiushuo Abburi, Venkata Natarajan, Purushothaman Levi, Amnon Crosby, Kevin Reddy, Umesh K. PeerJ Agricultural Science BACKGROUND: Watermelon seeds are a powerhouse of value-added traits such as proteins, free amino acids, vitamins, and essential minerals, offering a paleo-friendly dietary option. Despite the availability of substantial genetic variation, there is no sufficient information on the natural variation in seed-bound amino acids or proteins across the watermelon germplasm. This study aimed to analyze the natural variation in watermelon seed amino acids and total protein and explore underpinning genetic loci by genome-wide association study (GWAS). METHODS: The study evaluated the distribution of seed-bound free amino acids and total protein in 211 watermelon accessions of Citrullus spp, including 154 of Citrullus lanatus, 54 of Citrullus mucosospermus (egusi) and three of Citrullus amarus. We used the GWAS approach to associate seed phenotypes with 11,456 single nucleotide polymorphisms (SNPs) generated by genotyping-by-sequencing (GBS). RESULTS: Our results demonstrate a significant natural variation in different free amino acids and total protein content across accessions and geographic regions. The accessions with high protein content and proportion of essential amino acids warrant its use for value-added benefits in the food and feed industries via biofortification. The GWAS analysis identified 188 SNPs coinciding with 167 candidate genes associated with watermelon seed-bound amino acids and total protein. Clustering of SNPs associated with individual amino acids found by principal component analysis was independent of the speciation or cultivar groups and was not selected during the domestication of sweet watermelon. The identified candidate genes were involved in metabolic pathways associated with amino acid metabolism, such as Argininosuccinate synthase, explaining 7% of the variation in arginine content, which validate their functional relevance and potential for marker-assisted analysis selection. This study provides a platform for exploring potential gene loci involved in seed-bound amino acids metabolism, useful in genetic analysis and development of watermelon varieties with superior seed nutritional values. PeerJ Inc. 2021-10-19 /pmc/articles/PMC8533027/ /pubmed/34722000 http://dx.doi.org/10.7717/peerj.12343 Text en © 2021 Joshi et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Agricultural Science
Joshi, Vijay
Nimmakayala, Padma
Song, Qiushuo
Abburi, Venkata
Natarajan, Purushothaman
Levi, Amnon
Crosby, Kevin
Reddy, Umesh K.
Genome-wide association study and population structure analysis of seed-bound amino acids and total protein in watermelon
title Genome-wide association study and population structure analysis of seed-bound amino acids and total protein in watermelon
title_full Genome-wide association study and population structure analysis of seed-bound amino acids and total protein in watermelon
title_fullStr Genome-wide association study and population structure analysis of seed-bound amino acids and total protein in watermelon
title_full_unstemmed Genome-wide association study and population structure analysis of seed-bound amino acids and total protein in watermelon
title_short Genome-wide association study and population structure analysis of seed-bound amino acids and total protein in watermelon
title_sort genome-wide association study and population structure analysis of seed-bound amino acids and total protein in watermelon
topic Agricultural Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533027/
https://www.ncbi.nlm.nih.gov/pubmed/34722000
http://dx.doi.org/10.7717/peerj.12343
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