Ten new high-quality genome assemblies for diverse bioenergy sorghum genotypes
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ABSTRACT:
PROVIDER: PRJEB55613 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| ERR10286724.fastq.gz | Fastqsanger.gz | |||
| ERR10286725.fastq.gz | Fastqsanger.gz | |||
| ERR10286726.fastq.gz | Fastqsanger.gz | |||
| ERR10286727.fastq.gz | Fastqsanger.gz |
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Project description:IntroductionSorghum (Sorghum bicolor (L.) Moench) is an agriculturally and economically important staple crop that has immense potential as a bioenergy feedstock due to its relatively high productivity on marginal lands. To capitalize on and further improve sorghum as a potential source of sustainable biofuel, it is essential to understand the genomic mechanisms underlying complex traits related to yield, composition, and environmental adaptations.MethodsExpanding on a recently developed mapping population, we generated de novo genome assemblies for 10 parental genotypes from this population and identified a comprehensive set of over 24 thousand large structural variants (SVs) and over 10.5 million single nucleotide polymorphisms (SNPs).ResultsWe show that SVs and nonsynonymous SNPs are enriched in different gene categories, emphasizing the need for long read sequencing in crop species to identify novel variation. Furthermore, we highlight SVs and SNPs occurring in genes and pathways with known associations to critical bioenergy-related phenotypes and characterize the landscape of genetic differences between sweet and cellulosic genotypes.DiscussionThese resources can be integrated into both ongoing and future mapping and trait discovery for sorghum and its myriad uses including food, feed, bioenergy, and increasingly as a carbon dioxide removal mechanism.
| S-EPMC9846640 | biostudies-literature
Project description:Sorghum has been considered a recalcitrant plant in vitro and suffers from a lack of regeneration protocols that function broadly and efficiently across a range of genotypes. This study was initiated to identify differential genotype-in vitro protocol responses across a range of bioenergy sorghum parental lines and the common grain sorghum genotype Tx430 in order to characterize response profiles for use in future genetic studies. Two different in vitro protocols, LG and WU, were used for comparisons. Distinct genotype-protocol responses were observed, and the WU protocol performed significantly better for plantlet regeneration. Most bioenergy genotypes performed as well, if not better than Tx430, with Rio and PI329311 as the top regenerating lines. Genotypes displayed protocol-dependent, differential phenolic exudation responses, as indicated by medium browning. During the callus induction phase, genotypes prone to medium browning exhibited a response on WU medium which was either equal or greater than on LG medium. Genotype- and protocol-dependent albino plantlet regeneration was also noted, with three of the bioenergy genotypes showing albino plantlet regeneration. Grassl, Rio and Pink Kafir were susceptible to albino plantlet regeneration, with the response strongly associated with the WU protocol. These bioenergy parental genotypes, and their differential responses under two in vitro protocols, provide tools to further explore and assess the role of genetic loci, candidate genes, and allelic variants in the regulation of in vitro responsiveness in sorghum.
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Project description:Soybean nested association mapping (NAM) parent lines were compared by CGH to catalog structurally variant (e.g. deletion and duplication) regions among these genotypes. The CGH comparisons reveal reveal putative deletions and duplications among the 41 lines. NAM parent lines were compared through a common reference, Wm82-ISU-01 (this is a sub-line isolated from the cultivar Williams 82 stock). Each NAM parent line was represented by a single individual plant. The reported values show the log2 ratio of the normalized NAM parent line hybridization signals (Cy3) over the normalized Wm82-ISU-01 hybridization signal (Cy5).
2014-03-30 | E-GEOD-56351 | biostudies-arrayexpress
Project description:Soybean nested association mapping (NAM) parent lines were compared by CGH to catalog structurally variant (e.g. deletion and duplication) regions among these genotypes. The CGH comparisons reveal reveal putative deletions and duplications among the 41 lines.
2014-03-30 | GSE56351 | GEO
Project description:These RNA-seq samples represent ten different tissue types within a diverse Nested Association Mapping (NAM) maize population that has been sequenced by the NAM Consortium Group. These samples correspond to project IDs PRJEB31061.
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Project description:Tomato is the most consumed vegetable crop worldwide, with excellent beneficial health properties and high content of vitamins, minerals, carotenoids, total antioxidants, and phenolic compounds. Hence, improving its genotypes is crucial to sustain its production and ensure food security, principally under the fast-growing worldwide population and abrupt global climate change. The present study aimed to explore the genotypic variability associated with specific characteristics in twenty-five diverse tomato genotypes. In addition, the relationships between growth, yield, and quality traits using both univariate (correlation coefficient, path analysis) and multivariate (principal component, principal coordinates, canonical variate) analysis methods were explored. The results indicated that the evaluated genotypes possessed highly significant variation. This is appropriate for future hybridization through tomato breeding programs. All evaluated genotypes demonstrated considerable potential to develop strong hybrid vigour for growth, yield, and quality characteristics. In particular, the genotypes LS009, LS011, and LS014 could be considered promising, high-yielding, and resistant to yellow leaf curl virus infestation (YLCV) disease parents for future breeding schemes. The number of fruits per plant, fruit diameter, and fruit weight proved strong positive relationships with fruit yield. Accordingly, these characteristics demonstrate their importance in improving fruit yield and could be exploited as indirect criteria for selecting high-yielding tomato genotypes through breeding programs.
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Project description:Structural characterization of chromatin is challenging due to conformational and compositional heterogeneity in vivo and dynamic properties that limit achievable resolution in vitro. Although the maximum resolution for solving structures of large macromolecular assemblies by electron microscopy has recently undergone profound increases, X-ray crystallographic approaches may still offer advantages for certain systems. One such system is compact chromatin, wherein the crystalline state recapitulates the crowded molecular environment within the nucleus. Here we show that nucleosomal constructs with cohesive-ended DNA can be designed that assemble into different types of circular configurations or continuous fibers extending throughout crystals. We demonstrate the utility of the method for characterizing nucleosome compaction and linker histone binding at near-atomic resolution but also advance its application for tackling further problems in chromatin structural biology and for generating novel types of DNA nanostructures. We provide a library of cohesive-ended DNA fragment expression constructs and a strategy for engineering DNA-based nanomaterials with a seemingly vast potential variety of architectures and histone chemistries.
| S-EPMC8136823 | biostudies-literature
Project description:These RNA-seq samples represent ten different tissue types for a version of the maize reference genome B73 with an abnormal chromosome 10 containing several knobs on the long arm involved in meiotic drive. This genome was sequenced by the NAM Consortium Group. These samples correspond to project ID PRJEB35367.
2020-04-23 | E-MTAB-8641 | biostudies-arrayexpress
Project description:These RNA-seq samples represent ten different tissue types for the fifth version of the maize reference genome B73, sequenced by the NAM Consortium Group. These samples correspond to project ID PRJEB32225.
2020-01-09 | E-MTAB-8628 | biostudies-arrayexpress