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Transcriptomic Characterization of Genes Harboring Markers Linked to Maize Yield

cris.virtual.author-orcid0000-0001-9516-8911
cris.virtual.author-orcid0000-0003-4445-5624
cris.virtual.author-orcid0000-0002-0102-0084
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cris.virtual.author-orcid0000-0002-9535-7306
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cris.virtual.author-orcid0000-0003-2480-855X
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cris.virtualsource.author-orcid2faa4bbb-a129-4bec-8137-bd8eeedf40e0
cris.virtualsource.author-orcid36fc7bfc-89c8-4648-af52-05dd31161d2f
cris.virtualsource.author-orcid51a5a68b-106b-4e9d-bd9b-79d15d3ec0c1
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cris.virtualsource.author-orcidbfa5ef69-3b47-4c53-a56b-3aff82a20b9d
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cris.virtualsource.author-orcid07a12041-d6ed-46a8-8dc3-df09345a7119
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dc.abstract.enBackground: It is currently believed that breeding priorities, including maize breeding, should focus on introducing varieties with greater utility value, specifically higher yields, into production. Global modern maize breeding relies on various molecular genetics techniques. Using the above mentioned technologies, we can identify regions of the genome that are associated with various phenotypic traits, including yield, which is of fundamental importance for understanding and manipulating these regions. Objectives: The aim of the study was to analyze the expression of candidate genes associated with maize yield. To better understand the function of the analyzed genes in increasing maize yield, their expression in different organs and tissues was also assessed using publicly available transcriptome data. Methods: RT-qPCR analyses were performed using iTaq Universal SYBR Green Supermix (Bio-Rad, Hercules, CA, USA) and CFX96 Touch Real-Time PCRDetection System (Bio-Rad, Hercules, CA, USA). Each of the performed RT-qPCR experiments consisted of three biological replicates and three technical replicates, the results of which were averaged. Results: The research results allowed us to select three out of six candidate genes (cinnamoyl CoA reductase 1—CCR1, aspartate aminotransferase—AAT and sucrose transporter 1—SUT1), which can significantly affect grain yield in maize. Not only our studies but also literature reports clearly indicate the participation of CCR1, AAT and SUT1 in the formation of yield. Identified molecular markers located within these genes can be used in breeding programs to select high yielding maize genotypes.
dc.affiliationWydział Rolnictwa, Ogrodnictwa i Bioinżynierii
dc.affiliation.instituteKatedra Genetyki i Hodowli Roślin
dc.affiliation.instituteKatedra Metod Matematycznych i Statystycznych
dc.affiliation.instituteKatedra Biochemii i Biotechnologii
dc.contributor.authorTomkowiak, Agnieszka
dc.contributor.authorJamruszka, Tomasz
dc.contributor.authorBocianowski, Jan
dc.contributor.authorSobiech, Aleksandra
dc.contributor.authorJarzyniak, Karolina Maria
dc.contributor.authorLenort, Maciej
dc.contributor.authorMikołajczyk, Sylwia
dc.contributor.authorŻurek, Monika
dc.date.access2025-01-17
dc.date.accessioned2025-01-17T08:30:22Z
dc.date.available2025-01-17T08:30:22Z
dc.date.copyright2024-11-29
dc.date.issued2024
dc.description.abstract<jats:p>Background: It is currently believed that breeding priorities, including maize breeding, should focus on introducing varieties with greater utility value, specifically higher yields, into production. Global modern maize breeding relies on various molecular genetics techniques. Using the above mentioned technologies, we can identify regions of the genome that are associated with various phenotypic traits, including yield, which is of fundamental importance for understanding and manipulating these regions. Objectives: The aim of the study was to analyze the expression of candidate genes associated with maize yield. To better understand the function of the analyzed genes in increasing maize yield, their expression in different organs and tissues was also assessed using publicly available transcriptome data. Methods: RT-qPCR analyses were performed using iTaq Universal SYBR Green Supermix (Bio-Rad, Hercules, CA, USA) and CFX96 Touch Real-Time PCR Detection System (Bio-Rad, Hercules, CA, USA). Each of the performed RT-qPCR experiments consisted of three biological replicates and three technical replicates, the results of which were averaged. Results: The research results allowed us to select three out of six candidate genes (cinnamoyl-CoA reductase 1—CCR1, aspartate aminotransferase—AAT and sucrose transporter 1—SUT1), which can significantly affect grain yield in maize. Not only our studies but also literature reports clearly indicate the participation of CCR1, AAT and SUT1 in the formation of yield. Identified molecular markers located within these genes can be used in breeding programs to select high yielding maize genotypes.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if2,8
dc.description.number12
dc.description.points100
dc.description.reviewreview
dc.description.versionfinal_published
dc.description.volume15
dc.identifier.doi10.3390/genes15121558
dc.identifier.issn2073-4425
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/2368
dc.identifier.weblinkhttps://www.mdpi.com/2073-4425/15/12/1558
dc.languageen
dc.relation.ispartofGenes
dc.relation.pagesart. 1558
dc.rightsCC-BY
dc.sciencecloudsend
dc.share.typeOPEN_JOURNAL
dc.subject.ennext-generation sequencing
dc.subject.encandidate genes
dc.subject.enPCR
dc.subject.enqPCR
dc.subject.enyield
dc.subject.enmaize
dc.titleTranscriptomic Characterization of Genes Harboring Markers Linked to Maize Yield
dc.title.volumeSpecial Issue: Genetic and Genomic Studies of Crop Breeding
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue12
oaire.citation.volume15