Dataset Information

Advances towards a Marker-Assisted Selection Breeding Program in Prairie Cordgrass, a Biomass Crop.

ABSTRACT: Prairie cordgrass (Spartina pectinata Bosc ex Link) is an indigenous, perennial grass of North America that is being developed into a cellulosic biomass crop suitable for biofuel production. Limited research has been performed into the breeding of prairie cordgrass; this research details an initial investigation into the development of a breeding program for this species. Genomic libraries enriched for four simple sequence repeat (SSR) motifs were developed, 25 clones from each library were sequenced, identifying 70?SSR regions, and primers were developed for these regions, 35 of which were amplified under standard PCR conditions. These SSR markers were used to validate the crossing methodology of prairie cordgrass and it was found that crosses between two plants occurred without the need for emasculation. The successful cross between two clones of prairie cordgrass indicates that this species is not self-incompatible. The results from this research will be used to instigate the production of a molecular map of prairie cordgrass which can be used to incorporate marker-assisted selection (MAS) protocols into a breeding program to improve this species for cellulosic biomass production.

SUBMITTER: Gedye KR

PROVIDER: S-EPMC3513731 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Advances towards a Marker-Assisted Selection Breeding Program in Prairie Cordgrass, a Biomass Crop.

Gedye K R KR Gonzalez-Hernandez J L JL Owens V V Boe A A

International journal of plant genomics 20121126

Prairie cordgrass (Spartina pectinata Bosc ex Link) is an indigenous, perennial grass of North America that is being developed into a cellulosic biomass crop suitable for biofuel production. Limited research has been performed into the breeding of prairie cordgrass; this research details an initial investigation into the development of a breeding program for this species. Genomic libraries enriched for four simple sequence repeat (SSR) motifs were developed, 25 clones from each library were sequ ...[more]

PMID: 23227036

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Project description:Senescence in biofuel grasses is a critical issue because early senescence decreases potential biomass production by limiting aerial growth and development. 2-Dimensional, differential in-gel electrophoresis (2D-DIGE) followed by mass spectrometry of selected protein spots was used to evaluate differences between leaf proteomes of early (ES)- and late- senescing (LS) genotypes of Prairie cordgrass (ES/LS PCG) and switchgrass (ES/LS SG), just before and after senescence was initiated. Analysis of the manually filtered and statistically evaluated data indicated that 69 proteins were significantly differentially abundant across all comparisons, and a majority (41%) were associated with photosynthetic processes as determined by gene ontology analysis. Ten proteins were found in common between PCG and SG, and nine and 18 proteins were unique to PCG and SG respectively. Five of the 10 differentially abundant spots common to both species were increased in abundance, and five were decreased in abundance. Leaf proteomes of the LS genotypes of both grasses analyzed before senescence contained significantly higher abundances of a 14-3-3 like protein and a glutathione-S-transferase protein when compared to the ES genotypes, suggesting differential cellular metabolism in the LS vs. the ES genotypes. The higher abundance of 14-3-3 like proteins may be one factor that impacts the senescence process in both LS PCG and LS SG. Aconitase dehydratase was found in greater abundance in all four genotypes after the onset of senescence, consistent with literature reports from genetic and transcriptomic studies. A Rab protein of the Ras family of G proteins and an s-adenosylmethionine synthase were more abundant in ES PCG when compared with the LS PCG. In contrast, several proteins associated with photosynthesis and carbon assimilation were detected in greater abundance in LS PCG when compared to ES PCG, suggesting that a loss of these proteins potentially contributed to the ES phenotype in PCG. Overall, this study provides important data that can be utilized toward delaying senescence in both PCG and SG, and sets a foundational base for future improvement of perennial grass germplasm for greater aerial biomass productivity.

Project description:Above-ground biomass (AGB) is a trait with much potential for exploitation within wheat breeding programs and is linked closely to canopy height (CH). However, collecting phenotypic data for AGB and CH within breeding programs is labor intensive, and in the case of AGB, destructive and prone to assessment error. As a result, measuring these traits is seldom a priority for breeders, especially at the early stages of a selection program. LiDAR has been demonstrated as a sensor capable of collecting three-dimensional data from wheat field trials, and potentially suitable for providing objective, non-destructive, high-throughput estimates of AGB and CH for use by wheat breeders. The current study investigates the deployment of a LiDAR system on a ground-based high-throughput phenotyping platform in eight wheat field trials across southern Australia, for the non-destructive estimate of AGB and CH. LiDAR-derived measurements were compared to manual measurements of AGB and CH collected at each site and assessed for their suitability of application within a breeding program. Correlations between AGB and LiDAR Projected Volume (LPV) were generally strong (up to r = 0.86), as were correlations between CH and LiDAR Canopy Height (LCH) (up to r = 0.94). Heritability (H2) of LPV (H2 = 0.32-0.90) was observed to be greater than, or similar to, the heritability of AGB (H2 = 0.12-0.78) for the majority of measurements. A similar level of heritability was observed for LCH (H2 = 0.41-0.98) and CH (H2 = 0.49-0.98). Further to this, measurements of LPV and LCH were shown to be highly repeatable when collected from either the same or opposite direction of travel. LiDAR scans were collected at a rate of 2,400 plots per hour, with the potential to further increase throughput to 7,400 plots per hour. This research demonstrates the capability of LiDAR sensors to collect high-quality, non-destructive, repeatable measurements of AGB and CH suitable for use within both breeding and research programs.

Dataset Information

Advances towards a Marker-Assisted Selection Breeding Program in Prairie Cordgrass, a Biomass Crop.

Publications

Advances towards a Marker-Assisted Selection Breeding Program in Prairie Cordgrass, a Biomass Crop.

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