scholarly journals QTL-seq Analysis of Seed Size Trait in Grape Provides New Molecular Insight on Seedlessness

2020 ◽  
Author(s):  
Li Wang ◽  
Songlin Zhang ◽  
Chen Jiao ◽  
Zhi Li ◽  
Chonghuai Liu ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Seed Development ◽  
Seed Size ◽  
Reproductive Organ ◽  
Endosperm Development ◽  
Nonsynonymous Snps ◽  
Functional Study ◽  
Ovule Development ◽  
Hormone Balance ◽  
Seedless Grape

Abstract Background: Seedlessness in grape (Vitis vinifera) is an important commercial trait for both the fresh and drying markets. However, despite numerous studies, the mechanisms and key genes regulating grape seedlessness are mostly unknown.Results: In this study, we sequenced the genomes of the V. vinifera seeded cultivar ‘Red Globe’, the seedless cultivar ‘Centennial’, as well as the derived hybrids. Nonsynonymous SNPs were identified by genome sequencing and analyzed with published transcriptome data. Nonsynonymous SNPs were found in genes which were differential expressed during seeded and seedless grape ovule development, and corresponding Gene Ontology and pathway enrichment were conducted. A potential QTL region associated with seed size was characterized based on SNP-index for both seedless and seeded progeny. Expression analysis of SNP associated candidate genes during ovule development in multiple seeded and seedless grape cultivars were conducted and 3 SNP were further subjected to SNaPshot analysis in 40 progeny for validation.Conclusion: In summary, nonsynonymous SNPs happened in genes related seed development, which identified to be protein kinase, transcription factors, cytochrome P450 and showed differential expression during seeded and seedless grape ovule development. These nonsynonymous SNP associated genes were mainly involved in biological processes like hormone balance, seed coat and endosperm development, reproductive organ development, oxidation and reduction, senescence and cell death. Based on SNP-index and expression pattern analysis, candidate genes in the QTL region were identified and a SNP in G8 showed 67.5% efficiency in the grape progeny validation. Overall, the data cast light on the differences of seed development between seeded and seedless progeny in genomic level, which provides valuable resources for future functional study and grape breeding.

scholarly journals QTL-seq Analysis of Seed Size Trait in Grape Reveal New Insight on The Genetics of Seedlessness

2019 ◽  
Author(s):  
Li Wang ◽  
Songlin Zhang ◽  
Chen Jiao ◽  
Zhi Li ◽  
Chonghuai Liu ◽  
...  
Keyword(s):  
Expression Pattern ◽  
Seed Development ◽  
Seed Size ◽  
Expression Patterns ◽  
Grape Seed ◽  
Endosperm Development ◽  
Nonsynonymous Snps ◽  
Functional Study ◽  
Functional Variants ◽  
Seedless Grape

Abstract Background Seedlessness in grape ( Vitis vinifera ) is an important commercial trait for both the fresh and drying markets. However, despite numerous studies, the mechanisms and key genes regulating grape seedlessness are mostly unknown. Results In this study, we sequenced the genomes of the V. vinifera seeded cultivar ‘Red Globe’, the seedless cultivar ‘Centennial’, as well as the derived hybrids. Nonsynonymous SNPs were identified and analyzed with respect to published transcriptome data. All the DEGs containing nonsynonymous SNPs were further analyzed in terms of expression patterns, Gene Ontology and pathway enrichment. A potential QTL region associated with seed size was characterized based on SNP indices for both seedless and seeded progeny. Expression analysis of candidate genes during ovule development in multiple seeded and seedless grape cultivars further indicates their potential function in grape seed development. Conclusion In summary, DEGs containing nonsynonymous SNPs were mainly protein kinase, transcription factors, cytochrome P450 and other factors related to seed development, which were mainly involved in biological processes like hormone balance, seed coat and endosperm development, reproductive organ development, oxidation and reduction, senescence and cell death. Based on SNP-index and expression pattern analysis, three genes were further identified as potential seedlessness-related genes. Overall the data cast light on the differences of seed development between seeded and sedless progeny in perspective of both functional variants and expression pattern,which provides valuable candidates for future functional study.

scholarly journals QTL-seq Analysis of Seed Size Trait in Grape Provides New Molecular Insight on Seedlessness

2020 ◽  
Author(s):  
Li Wang ◽  
Songlin Zhang ◽  
Chen Jiao ◽  
Zhi Li ◽  
Chonghuai Liu ◽  
...  
Keyword(s):  
Expression Pattern ◽  
Seed Development ◽  
Seed Size ◽  
Expression Patterns ◽  
Grape Seed ◽  
Endosperm Development ◽  
Nonsynonymous Snps ◽  
Functional Study ◽  
Functional Variants ◽  
Seedless Grape

Abstract Background Seedlessness in grape ( Vitis vinifera ) is an important commercial trait for both the fresh and drying markets. However, despite numerous studies, the mechanisms and key genes regulating grape seedlessness are mostly unknown. Results In this study, we sequenced the genomes of the V. vinifera seeded cultivar ‘Red Globe’, the seedless cultivar ‘Centennial’, as well as the derived hybrids. Nonsynonymous SNPs were identified and analyzed with respect to published transcriptome data. All the DEGs containing nonsynonymous SNPs were further analyzed in terms of expression patterns, Gene Ontology and pathway enrichment. A potential QTL region associated with seed size was characterized based on SNP indices for both seedless and seeded progeny. Expression analysis of candidate genes during ovule development in multiple seeded and seedless grape cultivars further indicates their potential function in grape seed development. Conclusion In summary, DEGs containing nonsynonymous SNPs were mainly protein kinase, transcription factors, cytochrome P450 and other factors related to seed development, which were mainly involved in biological processes like hormone balance, seed coat and endosperm development, reproductive organ development, oxidation and reduction, senescence and cell death. Based on SNP-index and expression pattern analysis, three genes were further identified as potential seedlessness-related genes. Overall the data cast light on the differences of seed development between seeded and sedless progeny in perspective of both functional variants and expression pattern,which provides valuable candidates for future functional study.

scholarly journals Comprehensive Transcriptome Analyses Reveal Candidate Genes for Variation in Seed Size/Weight During Peanut (Arachis hypogaea L.) Domestication

2021 ◽  
Vol 12 ◽  
Author(s):  
Zhongfeng Li ◽  
Xingguo Zhang ◽  
Kunkun Zhao ◽  
Kai Zhao ◽  
Chengxin Qu ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Seed Development ◽  
Seed Size ◽  
Snp Markers ◽  
Pentatricopeptide Repeat ◽  
Significant Differential Expression ◽  
Ppr Protein ◽  
Cultivated Peanut ◽  
Transcriptome Analyses ◽  
Wild Peanut

Seed size/weight, a key domestication trait, is also an important selection target during peanut breeding. However, the mechanisms that regulate peanut seed development are unknown. We re-sequenced 12 RNA samples from developing seeds of two cultivated peanut accessions (Lines 8106 and 8107) and wild Arachis monticola at 15, 30, 45, and 60 days past flowering (DPF). Transcriptome analyses showed that ∼36,000 gene loci were expressed in each of the 12 RNA samples, with nearly half exhibiting moderate (2 ≤ FPKM < 10) expression levels. Of these genes, 12.2% (4,523) were specifically expressed during seed development, mainly at 15 DPF. Also, ∼12,000 genes showed significant differential expression at 30, 45, and/or 60 DPF within each of the three peanut accessions, accounting for 31.8–34.1% of the total expressed genes. Using a method that combined comprehensive transcriptome analysis and previously mapped QTLs, we identified several candidate genes that encode transcription factor TGA7, topless-related protein 2, IAA-amino acid hydrolase ILR1-like 5, and putative pentatricopeptide repeat-containing (PPR) protein. Based on sequence variations identified in these genes, SNP markers were developed and used to genotype both 30 peanut landraces and a genetic segregated population, implying that EVM0025654 encoding a PPR protein may be associated with the increased seed size/weight of the cultivated accessions in comparison with the allotetraploid wild peanut. Our results provide additional knowledge for the identification and functional research into candidate genes responsible for the seed size/weight phenotype in peanut.

scholarly journals Transcriptional changes during ovule development in two genotypes of litchi (Litchi chinensis Sonn.) with contrast in seed size

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Ashish K. Pathak ◽  
Sudhir P. Singh ◽  
Yogesh Gupta ◽  
Anoop K. S. Gurjar ◽  
Shrikant S. Mantri ◽  
...  
Keyword(s):  
Seed Size ◽  
Ovule Development ◽  
Litchi Chinensis ◽  
Transcriptional Changes

Detection of a Major QTL and Development of KASP Markers for Seed Weight by Combining QTL-seq, QTL-mapping and RNA-seq in Peanut

2021 ◽  
Author(s):  
Zhihui Wang ◽  
Liying Yan ◽  
Yuning Chen ◽  
Xin Wang ◽  
Dongxin Huai ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Candidate Genes ◽  
Seed Development ◽  
Seed Weight ◽  
Molecular Mechanisms ◽  
Large Contribution ◽  
Phenotypic Variance ◽  
Rna Seq ◽  
Late Stages ◽  
Kasp Markers

Abstract Seed weight is a major target of peanut breeding as an important component of seed yield. However, relatively little is known about QTLs and candidate genes associated with seed weight in peanut. In this study, three major QTLs on chromosomes A05, B02 and B06 were determined by applying NGS-based QTL-seq approach for a RIL population. These three QTL regions have been successfully narrowed down through newly developed SNP and SSR markers based on traditional QTL mapping. Among these three QTL regions, qSWB06.3 exhibited stable expression with large contribution to phenotypic variance across all environments. Furthermore, RNA-seq were applied for early, middle and late stages of seed development, and differentially expression genes (DEGs) were identified in ubiquitin-proteasome pathway, serine/threonine protein pathway and signal transduction of hormones and transcription factors. Notably, DEGs at early stage were majorly related to regulating cell division, whereas DEGs at middle and late stages were mainly associated with cell expansion during seed development. Through integrating SNP variation, gene expression and functional annotation, candidate genes related to seed weight in qSWB06.3 were predicted and distinct expression pattern of those genes were exhibited using qRT-PCR. In addition, KASP-markers in qSWB06.3 were successfully validated in diverse peanut varieties and the alleles of parent Zhonghua16 in qSWB06.3 was associated with high seed weight. This suggested that qSWB06.3 was reliable and the markers in qSWB06.3 could be deployed in marker-assisted breeding to enhance seed weight. This study provided insights into the understanding of genetic and molecular mechanisms of seed weight in peanut.

scholarly journals Transcriptome Analysis Reveals Key Seed-Development Genes in Common Buckwheat (Fagopyrum esculentum)

2019 ◽  
Vol 20 (17) ◽  
pp. 4303 ◽  
Author(s):  
Hongyou Li ◽  
Qiuyu Lv ◽  
Jiao Deng ◽  
Juan Huang ◽  
Fang Cai ◽  
...  
Keyword(s):  
Signal Transduction ◽  
Seed Development ◽  
Seed Size ◽  
Molecular Mechanisms ◽  
Signal Transduction Pathway ◽  
Fagopyrum Esculentum ◽  
Rna Seq ◽  
Common Buckwheat ◽  
Size Change ◽  
Key Genes

Seed development is an essential and complex process, which is involved in seed size change and various nutrients accumulation, and determines crop yield and quality. Common buckwheat (Fagopyrum esculentum Moench) is a widely cultivated minor crop with excellent economic and nutritional value in temperate zones. However, little is known about the molecular mechanisms of seed development in common buckwheat (Fagopyrum esculentum). In this study, we performed RNA-Seq to investigate the transcriptional dynamics and identify the key genes involved in common buckwheat seed development at three different developmental stages. A total of 4619 differentially expressed genes (DEGs) were identified. Based on the results of Gene Ontology (GO) and KEGG analysis of DEGs, many key genes involved in the seed development, including the Ca2+ signal transduction pathway, the hormone signal transduction pathways, transcription factors (TFs), and starch biosynthesis-related genes, were identified. More importantly, 18 DEGs were identified as the key candidate genes for seed size through homologous query using the known seed size-related genes from different seed plants. Furthermore, 15 DEGs from these identified as the key genes of seed development were selected to confirm the validity of the data by using quantitative real-time PCR (qRT-PCR), and the results show high consistency with the RNA-Seq results. Taken together, our results revealed the underlying molecular mechanisms of common buckwheat seed development and could provide valuable information for further studies, especially for common buckwheat seed improvement.

scholarly journals The DYW-subgroup pentatricopeptide repeat protein PPR27 interacts with ZmMORF1 to facilitate mitochondrial RNA editing and seed development in maize

2020 ◽  
Vol 71 (18) ◽  
pp. 5495-5505 ◽  
Author(s):  
Rui Liu ◽  
Shi-Kai Cao ◽  
Aqib Sayyed ◽  
Huan-Huan Yang ◽  
Jiao Zhao ◽  
...  
Keyword(s):  
Rna Editing ◽  
Seed Development ◽  
Plant Mitochondria ◽  
Endosperm Development ◽  
Complex Iii ◽  
Mitochondrial Rna ◽  
Mitochondrial Complex ◽  
Pentatricopeptide Repeat ◽  
Ppr Protein ◽  
Ppr Proteins

Abstract C-to-U RNA editing in plant mitochondria requires the participation of many nucleus-encoded factors, most of which are pentatricopeptide repeat (PPR) proteins. There is a large number of PPR proteins and the functions many of them are unknown. Here, we report a mitochondrion-localized DYW-subgroup PPR protein, PPR27, which functions in the editing of multiple mitochondrial transcripts in maize. The ppr27 mutant is completely deficient in C-to-U editing at the ccmFN-1357 and rps3-707 sites, and editing at six other sites is substantially reduced. The lack of editing at ccmFN-1357 causes a deficiency of CcmFN protein. As CcmFN functions in the maturation pathway of cytochrome proteins that are subunits of mitochondrial complex III, its deficiency results in an absence of cytochrome c1 and cytochrome c proteins. Consequently, the assembly of mitochondrial complex III and super-complex I+III2 is decreased, which impairs the electron transport chain and respiration, leading to arrests in embryogenesis and endosperm development in ppr27. In addition, PPR27 was found to physically interact with ZmMORF1, which interacts with ZmMORF8, suggesting that these three proteins may facilitate C-to-U RNA editing via the formation of a complex in maize mitochondria. This RNA editing is essential for complex III assembly and seed development in maize.

An analysis of seed development in Pisum sativum. XV. The influence of seed size on protein content

1991 ◽  
Vol 1 (4) ◽  
pp. 203-208 ◽  
Author(s):  
A. E. Arthur ◽  
H. Adams ◽  
K. Strouts ◽  
D. A. Jones ◽  
T. L. Wang ◽  
...  
Keyword(s):  
Pisum Sativum ◽  
Protein Content ◽  
Total Variation ◽  
Seed Development ◽  
Seed Size ◽  
Seed Weight ◽  
Genetic Component ◽  
Residual Variation ◽  
Percentage Protein

AbstractThe variation for protein content has been assessed in a series of pea (Pisum sativum L.) lines differing in mean seed size. The range of seed size within each genotype was manipulated by growing the plants in different environments and by altering the structure of the plant. The response of the lines in terms of seed weight to the environments and treatments was inconsistent, but 90% of the total variation was accounted for by differences between genotypes. In contrast, for percentage protein, the genetic component was much weaker with nearly half the variation being accounted for by within (residual) variation. The correlations between seed weight and percentage protein were highly genotype specific. For the largerseeded genotype, percentage protein increased with increasing seed size (r= +0.9, P < 0.01), while for the small-seeded genotype there was mid-range negative value (r = −0.5, P <0.01). It is suggested that any assessment of percentage protein in pea genotypes must take account of seed size.

Sign in / Sign up

Export Citation Format

Share Document