Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Sorghum Genome mapping). Showing records 1 – 2 of 2 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Rutgers University

1. Calviño Torterolo, Martĺn. Comparative genomics of the stem transcriptome from grain and sweet sorghum.

Degree: PhD, Plant Biology, 2014, Rutgers University

The current dissertation relates to comparative genomics of grain and sweet sorghum, in particular, to their stem’s transcriptome at the time of flowering, when soluble sugars accumulate more abundantly in the sweet sorghum cultivar Rio than in the grain sorghum cultivar BTx623. The accumulation of soluble sugars in the stem of sorghum is a valuable agronomic trait because their fermentation into ethanol is currently being used as source of biofuel. High soluble sugar content in stems is a trait also present in the closely related grass sugarcane. Thus, it is reasonable to assume that sweet sorghum and sugarcane may use the same gene products that leads to high soluble sugar content is stems. My dissertation consists of five chapters, the results of which are five publications as first author. In Chapter 1 I summarized the current status of sweet sorghum genomics and highlighted future research directions. My scientific contribution to the field was also mentioned. In Chapters 2 and 3 I described the first characterization of the stem’s transcriptome from grain and sweet sorghum cultivars using sugarcane Affymetrix arrays, and the use of this transcriptome data to develop molecular markers based on the differences in hybridization intensity from grain and sweet sorghum RNAs to the arrays. In Chapter 4, I described the first characterization of the small RNA component of the stem from grain sorghum BTx623 and sweet sorghum Rio cultivars, and from F2 plants derived from their cross that segregated for sugar content and flowering time. I was able to identify the microRNA family miR169, whose expression co-segregated with sugar content in stems. I also discovered nine new microRNAs in the sorghum genome. In Chapter 5 I described the genomic comparison of MIR169 gene clusters among five different grasses and identified five new MIR169 gene copies in the sorghum genome.

Advisors/Committee Members: Messing, Joachim (chair), Maliga, Pal (internal member), Tumer, Nilgun (internal member), Chen, Kevin (outside member).

Subjects/Keywords: Grain – Genome mapping; Sorghum – Genome mapping; Botanical chemistry

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Calviño Torterolo, M. (2014). Comparative genomics of the stem transcriptome from grain and sweet sorghum. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/45214/

Chicago Manual of Style (16th Edition):

Calviño Torterolo, Martĺn. “Comparative genomics of the stem transcriptome from grain and sweet sorghum.” 2014. Doctoral Dissertation, Rutgers University. Accessed December 04, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/45214/.

MLA Handbook (7th Edition):

Calviño Torterolo, Martĺn. “Comparative genomics of the stem transcriptome from grain and sweet sorghum.” 2014. Web. 04 Dec 2020.

Vancouver:

Calviño Torterolo M. Comparative genomics of the stem transcriptome from grain and sweet sorghum. [Internet] [Doctoral dissertation]. Rutgers University; 2014. [cited 2020 Dec 04]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45214/.

Council of Science Editors:

Calviño Torterolo M. Comparative genomics of the stem transcriptome from grain and sweet sorghum. [Doctoral Dissertation]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45214/


University of Queensland

2. Diatloff, Eugene. Genome wide analysis and allele mining of diverse sorghum genes involved in nitrogen use efficiency.

Degree: School of Agriculture and Food Sciences, 2017, University of Queensland

Subjects/Keywords: Allelic variation; Nested association mapping population; Nitrogen use efficiency (NUE); Vegetative; Nitrate reductase; Glutamate synthase; Sorghum; 060405 Gene Expression (incl. Microarray and other genome-wide approaches); 060411 Population, Ecological and Evolutionary Genetics; 060705 Plant Physiology

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Diatloff, E. (2017). Genome wide analysis and allele mining of diverse sorghum genes involved in nitrogen use efficiency. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:655055

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Diatloff, Eugene. “Genome wide analysis and allele mining of diverse sorghum genes involved in nitrogen use efficiency.” 2017. Thesis, University of Queensland. Accessed December 04, 2020. http://espace.library.uq.edu.au/view/UQ:655055.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Diatloff, Eugene. “Genome wide analysis and allele mining of diverse sorghum genes involved in nitrogen use efficiency.” 2017. Web. 04 Dec 2020.

Vancouver:

Diatloff E. Genome wide analysis and allele mining of diverse sorghum genes involved in nitrogen use efficiency. [Internet] [Thesis]. University of Queensland; 2017. [cited 2020 Dec 04]. Available from: http://espace.library.uq.edu.au/view/UQ:655055.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Diatloff E. Genome wide analysis and allele mining of diverse sorghum genes involved in nitrogen use efficiency. [Thesis]. University of Queensland; 2017. Available from: http://espace.library.uq.edu.au/view/UQ:655055

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.