Characterization of proteome variation during modern maize breeding
Ontology highlight
ABSTRACT:
ORGANISM(S): Zea Mays
SUBMITTER: 
Luguang Jiang
PROVIDER: PXD042776 | iProX | Thu Jan 17 00:00:00 GMT 2019
REPOSITORIES: iProX
Publications
Characterization of Proteome Variation During Modern Maize Breeding.
Jiang Lu-Guang LG Li Bo B Liu Sheng-Xue SX Wang Hong-Wei HW Li Cui-Ping CP Song Shu-Hui SH Beatty Mary M Zastrow-Hayes Gina G Yang Xiao-Hong XH Qin Feng F He Yan Y
Molecular & cellular proteomics : MCP 20181108 2
The success of modern maize breeding has been demonstrated by remarkable increases in productivity with tremendous modification of agricultural phenotypes over the last century. Although the underlying genetic changes of the maize adaptation from tropical to temperate regions have been extensively studied, our knowledge is limited regarding the accordance of protein and mRNA expression levels accompanying such adaptation. Here we conducted an integrative analysis of proteomic and transcriptomic ...[more]
Similar Datasets
Project description:DNA methylation is a chromatin modification that is frequently associated with epigenetic regulation in plants and mammals. However, other genetic changes such as transposon insertions also can lead to changes in DNA methylation levels. Genome-wide profiles of DNA methylation levels for 20 maize inbreds were used to discover differentially methylated regions (DMRs). The methylation level for each of these DMRs was also assayed in 31 additional maize genotypes resulting in the discovery of 1,966 common DMRs and 1,754 rare DMRs. Analysis of recombinant inbred lines provides evidence that the majority of DMRs are heritable. A local association scan found that nearly half of the DMRs with common variation are significantly associated with SNPs found within or near the DMR. Many of the DMRs that are significantly associated with local genetic variation are found near transposable elements that may contribute to the DNA methylation variation. The analysis of gene expression in the same samples used for DNA methylation profiling identifies over 300 genes with expression patterns that are significantly associated with the DNA methylation variation among genotypes. Collectively, our results suggest that DNA methylation variation is influenced by genetic and epigenetic variation is often stably inherited and can influence expression level of genes in the population. Methylation profiles in seedling tissue of a panel of 51 maize inbred lines using a custom 2.1M or 1.4M feature NimbleGen array. Methylation profiles in seedling tissue of maize inbred lines, teosinte and recombinant inbred lines (RILs) derived from B73 and Mo17 using a custom 12x270K NimbleGen array. Inbred lines B73 and Mo17 each had 3 biological replicates, the other sample had 1 replicate.
2013-08-12 | E-GEOD-46949 | biostudies-arrayexpress
Project description:Expression profiling analyses for eight maize inbreds reveals extensive transcriptional variation. Many genes exhibit presence-absence variation among the inbred lines. Keywords: Genotype comparison series
2008-01-26 | GSE10237 | GEO
Project description:The data set submitted here contains the raw SNP genotyping data obtained from the analysis of 24 biparental segregating maize (Zea mays L.) populations and their respective parents. The processed and filtered data were used to construct genetic linkage maps which we used in our study of variation of recombination rate in maize. In sexually reproducing organisms, meiotic crossovers ensure the proper segregation of chromosomes and contribute to genetic diversity by shuffling allelic combinations. Such genetic reassortment is exploited in breeding to combine favorable alleles, and in genetic research to identify genetic factors underlying traits of interest via linkage or association-based approaches. Crossover numbers and distributions along chromosomes vary between species, but little is known about their intraspecies variation. In our study, we report on the variation of recombination rates between 22 European maize inbred lines that belong to the Dent and Flint gene pools. We genotyped 23 doubled-haploid populations derived from crosses between these lines with a 50k-SNP array and constructed high-density genetic maps, showing good correspondence with the maize B73 genome sequence assembly. By aligning each genetic map to the B73 sequence, we obtained the recombination rates along chromosomes specific to each population. We identified significant differences in recombination rates at the genome-wide, chromosome, and intrachromosomal levels between populations, as well as significant variation for genome-wide recombination rates among maize lines. Crossover interference analysis using a two-pathway modeling framework revealed a negative association between recombination rate and interference strength. To our knowledge, the present work provides the most comprehensive study on intraspecific variation of recombination rates and crossover interference strength in eukaryotes. Differences found in recombination rates will allow for selection of high or low recombining lines in crossing programs. Our methodology should pave the way for precise identification of genes controlling recombination rates in maize and other organisms.
2013-09-05 | GSE50558 | GEO
Project description:The data set submitted here contains the raw SNP genotyping data obtained from the analysis of 24 biparental segregating maize (Zea mays L.) populations and their respective parents. The processed and filtered data were used to construct genetic linkage maps which we used in our study of variation of recombination rate in maize. In sexually reproducing organisms, meiotic crossovers ensure the proper segregation of chromosomes and contribute to genetic diversity by shuffling allelic combinations. Such genetic reassortment is exploited in breeding to combine favorable alleles, and in genetic research to identify genetic factors underlying traits of interest via linkage or association-based approaches. Crossover numbers and distributions along chromosomes vary between species, but little is known about their intraspecies variation. In our study, we report on the variation of recombination rates between 22 European maize inbred lines that belong to the Dent and Flint gene pools. We genotyped 23 doubled-haploid populations derived from crosses between these lines with a 50k-SNP array and constructed high-density genetic maps, showing good correspondence with the maize B73 genome sequence assembly. By aligning each genetic map to the B73 sequence, we obtained the recombination rates along chromosomes specific to each population. We identified significant differences in recombination rates at the genome-wide, chromosome, and intrachromosomal levels between populations, as well as significant variation for genome-wide recombination rates among maize lines. Crossover interference analysis using a two-pathway modeling framework revealed a negative association between recombination rate and interference strength. To our knowledge, the present work provides the most comprehensive study on intraspecific variation of recombination rates and crossover interference strength in eukaryotes. Differences found in recombination rates will allow for selection of high or low recombining lines in crossing programs. Our methodology should pave the way for precise identification of genes controlling recombination rates in maize and other organisms. Related publication: Bauer E, Falque M, Walter H, Bauland C, Camisan C, Campo L, Meyer N, Ranc N, Rincent R, Schipprack W, Altmann T, Flament P, Melchinger AE, Menz M, Moreno-González J, Ouzunova M, Revilla P, Charcosset A, Martin OC, Schön C-C (2013) Intraspecific variation of recombination rate in maize. Genome Biology (submitted) We genotyped 2233 maize DH lines from 24 biparental populations, and the 23 parents of these populations using the Illumina MaizeSNP50 BeadChip. We created two large half-sib panels, one each for the Dent and the Flint germplasm. The Dent populations have the prefix CFD, the Flint populations have the prefix CFF. In each panel, a common central parent was crossed to diverse founder lines, and doubled haploids were generated from the respective F1 plants. For a detailed description of the material, see Bauer et al. (2013) Genome Biology (submitted). We submit here three datasets: 1) Dataset Parents comprises all 23 parental lines. 2) Dataset CFD comprises all 1005 DH lines from Dent crosses, 3) Dataset CFF comprises all 1262 DH lines from Flint crosses.
2013-09-05 | E-GEOD-50558 | biostudies-arrayexpress
Project description:We use DNA affinity purification-sequencing (DAP-seq) to map transcription factor binding events for 200 maize TFs belonging to 30 distinct families and heterodimer pairs in two distinct inbred lines historically used for maize hybrid plant production
2025-05-05 | GSE275897 | GEO
Project description:Epigenetic variation describes heritable differences that are not attributable to changes in DNA sequence. Methylation of cytosine residues provides a mechanism for the inheritance of epigenetic information. We have profiled the distribution of DNA methylation in the large, complex genome of Zea mays (ssp. mays). DNA methylation levels are higher near the centromeres and are generally inversely correlated with recombination and gene expression levels. However, genes that are located in non-syntenic genomic positions relative to species related closely to maize exhibit higher levels of DNA methylation independent of expression state. A comparison of the DNA methylation levels in two different inbred genotypes, B73 and Mo17, allowed for the identification of approximately 700 differentially methylated regions. The regions of differential methylation in B73 and Mo17 often occur in intergenic regions but some of these regions are located within or near genes. There is evidence that variation in DNA methylation levels can occur in genomic regions that are identical-by-descent, illustrating the potential for epigenetic variation that is not tightly linked to genetic changes. A comparison of the genotype and epigenotype in a panel of near-isogenic lines reveals evidence for epigenetic variation that is conditioned by linked regions as well as examples of epigenetic variation that is conditioned by unlinked genomic regions. Our many examples of epigenetic variation, including some without tightly linked genetic variation, have implications for plant breeding and for natural selection. Methylation profiles in seedling tissue of the maize inbred lines B73 and Mo17. Each genotype was compared for three biological replications using a gene-focused custom 2.1M NimbleGen array.
2011-11-21 | E-GEOD-29099 | biostudies-arrayexpress
Project description:Fertile pollen is critical for the survival, fitness and dispersal of flowering plants, and directly contributes to crop productivity. Extensive mutational screening studies have been carried out to dissect the genetic regulatory network determining pollen fertility, but we still lack fundamental knowledge about whether and how pollen fertility is controlled in natural populations. We used a genome-wide association study (GWAS) to show that ZmGEN1A and ZmMSH7, two DNA repair-related genes, confer natural variation in maize pollen fertility. Mutants defective in both genes exhibited abnormalities in meiotic or post-meiotic DNA repair, leading to reduced pollen fertility. More importantly, ZmMSH7 underwent selection during maize domestication, and its disruption resulted in a substantial increase in grain yield and protein content for both inbred and hybrid. Overall, our study describes the first systematic examination of natural genetic effects on pollen fertility in plants, providing valuable genetic resources for optimizing male fertility. Moreover, ZmMSH7 may be a potential candidate for simultaneous improvement of grain yield and quality.
2024-02-09 | GSE224891 | GEO
Project description:Eighteen genetically-diverse maize hybrids (Zea mays, dent lines crossed to a flint inbred-line) were cultivated in the field. Two conditions of cultivation were analyzed: normal sowing and early sowing. Upon early sowing plants grew under lower temperatures than upon normal sowing. Young leaves were harvested for proteomics quantitative analysis after a thermal time (equivalent number of days after emergence at 20°C) of 17 to 18. Three replicates per genotype/condition combination were analyzed. Each replicate was made up of the mix of leaf samples of five different plants.
2021-01-19 | PXD021754 | Pride
Project description:The concurrent epigenetic changes during this period of remarkable improvement in maize grain yield remain unknown. Here, we performed MethylC-seq and RNA-seq on 4 related inbred lines with known pedigree information. Analysis of epigenetic changes over the course of historical maize breeding is a valuable new avenue in the exploration for crop improvement. These data lead us to suggest that novel epihaplotypes, in addition to DNA variation, are a substrate of selection during breeding, and that epigenetic variation between parents may also contribute to heterosis in hybrids. Xie, S; et al. 2013. Maize Genetics Conference Abstracts. 54:P326
2015-06-01 | E-MTAB-4238 | biostudies-arrayexpress
Project description:We applied a custom 2k micro-array with 2232 oligonucleotide sequences (50-70 nt) to a factorial with 13 parental inbred lines (9 Dent, 4 Flint) of European maize (Zea mays L.). The selection of oligonucleotides was based on 47k-array expression data from a 14x7 factorial with 98 hybrids (GSE17754). The main fraction of oligonucleotides (1639) represents genes that showed differential expression between the parental genotypes in the 14x7 factorial and consistent association with HP for GY in cross validation runs to estimate prediction accuracies for this trait. In addition the array contains partial overlapping fractions of genes that correlated with HP/GY (378), HP/GDMC (200), or MPH/GY (345) and 205 representatives of the 6 most overrepresented biological processes among genes correlated with HP/GY in the 14x7 factorial.
2016-08-18 | GSE85288 | GEO