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| Web URL(s): | https://turf.rutgers.edu/research/abstracts/symposium2018.pdf#page=34
Last checked: 06/19/2018
Requires: PDF Reader
Notes: Item is within a single large file; Abstract only |
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| Publication Type:
| Report |
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| Author(s): | Chen, Qiang;
Zhang, Quiwei;
Meyer, William A.;
White, James F. |
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| Author Affiliation: | Department of Plant Biology, Rutgers University |
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| Title: | Metagenomic analysis of bacterial communities associated with seeds of cool-season turfgrasses |
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| Section: | Poster presentations
Other records with the "Poster presentations" Section
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| Meeting Info.: | New Brunswick, New Jersey: January 12, 2018 |
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| Source: | Proceedings of the Twenty-Seventh Annual Rutgers Turfgrass Symposium. 2018, p. 33. |
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| Publishing Information: | New Brunswick, New Jersey: The Center for Turfgrass Science, Rutgers, The State University of New Jersey |
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| # of Pages: | 1 |
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| Keywords: | TIC Keywords: Cool season turfgrasses; Endophytes; Festuca arundinacea
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| Abstract/Contents: | "Endophytes of grasses have been shown to enhance field performance by improving germination rates, growth and increasing resistance of grasses to biotic and abiotic stresses. Similar benefits to grass hosts have been shown for both fungal and bacterial endophytes. It has been observed that seed germination tends to be better in grasses from climates where seed is exposed to moisture during the seed maturation process. We hypothesized that seed germination is better in moist climates due to a greater diversity of bacterial endophytes that successfully colonize seed surfaces. To test this hypothesis we obtained seed samples from a diversity of locations. Locations were classified as either high moisture or low moisture during the seed maturation period. Seed samples were then subjected to metagenomic analysis to examine the diversity and families of bacteria associated with seeds. We conducted a metagenomic study by sequencing the V3-V4 region of 16S rDNA sequences with Illumina MiSeq. By comparing the bacterialcommunity in several grass genera, we found that Lolium (including Lolium arundinaceum; average of 20851 reads/sample) possessed more than twice the reads of fine fescues (average of 9211 reads/sample). This overall correlation could explain why Lolium seeds tend to germinate better than fine fescues in our experimental assays. The results also showed that seed from moist climates tended to show a higher diversity of bacteria associated with seeds. Further, it is suggested that there is a positive correlation between the content (proportion) of beta-Proteobacteria and visual merit ratings of turf cultivars based on data from the British Society of Plant Breeders (2017). We further found negative correlations between Actinobacteria abundance and live ground cover based on data from the British Society of Plant Breeders (2017). A negative association was also indicated between Sphingobacteria abundance and resistance to red thread disease based on data from the British Society of Plant Breeders (2017). In our seed germination tests, alpha-Proteobacteria and Sphingobacteria abundance were positively associated with germination time and negatively associated with germination rate. Gamma-Proteobacteria abundance showed a positive correlation with germination rate and a negative correlation with germination time. These correlations seem to suggest that particular bacterial endophytes in beta-Proteobacteria and gamma-Proteobacteria are beneficial in turf, while alpha- Proteobacteria, Actinobacteria and Sphingobacteria may be parasitic. At least two of these groups, alpha-Proteobacteria and Sphingobacteria, contain species that are known to be intracellular parasites of Eukaryotes. While, additional experiments are needed to confirm these correlations, confirmation that beta- and gamma-Proteobacteria are beneficial endophytes may enable improvement of turf cultivars using endophytes in these groups." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Chen, Q., Q. Zhang, W. A. Meyer, and J. F. White. 2018. Metagenomic analysis of bacterial communities associated with seeds of cool-season turfgrasses. Proc. Rutgers Turfgrass Symp. p. 33. |
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| Web URL(s):
https://turf.rutgers.edu/research/abstracts/symposium2018.pdf#page=34
Last checked: 06/19/2018
Requires: PDF Reader
Notes: Item is within a single large file; Abstract only |
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MSU catalog number: b3696858 |
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Digitally in TIC by file name: rutsy2018 |
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