Potential Connections Between Sorghum Traits and Gene Functions
Madison Tunnell
Author
07/28/2020
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28
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Description
Finding gene-trait connections in the sorghum genome using GWAS and Phytozome.
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- [00:00:01.776]Hello, my name is Madison Tunnell
- [00:00:03.690]and today I will be presenting
- [00:00:05.010]my poster on Potential Connections
- [00:00:06.550]Between Sorghum Traits and Gene Functions.
- [00:00:12.706]Sorghum is a drought-tolerant plant,
- [00:00:14.515]making it an effective crop worldwide,
- [00:00:16.596]especially in Africa and Southeastern Asia
- [00:00:18.926]where it makes up 50 percent
- [00:00:20.526]of cereal grains consumed.
- [00:00:22.812]Genome-wide association studies,
- [00:00:24.696]also known as GWAS,
- [00:00:26.508]search the entire genome of many
- [00:00:28.318]individuals at once for various SNPs,
- [00:00:30.548]or “snips,”
- [00:00:31.218]that are associated with certain traits.
- [00:00:34.112]The research presented here is part
- [00:00:35.505]of an ongoing research project using GWAS
- [00:00:37.935]to identify loci that will be of use
- [00:00:40.035]for future plant breeding
- [00:00:41.445]and genetic advances for sorghum.
- [00:00:44.857]GWAS has already been performed by
- [00:00:46.977]Ravi Mural on 304 sorghum individuals
- [00:00:49.687]for 234 phenotypic traits
- [00:00:51.882]with the MVP package in R.
- [00:00:54.395]The 29 most significant associated markers
- [00:00:56.885]were then identified and handed
- [00:00:58.598]down for this project.
- [00:01:00.377]As a side note,
- [00:01:01.387]when “window” is mentioned,
- [00:01:02.897]it means an area of a chromosome ranging
- [00:01:04.785]from one to several million
- [00:01:06.326]nucleotide bases long.
- [00:01:08.613]The data was presented in an excel file
- [00:01:10.553]with the chromosome number and
- [00:01:11.723]position of the window, the length
- [00:01:13.384]of the window, the number of SNPs in
- [00:01:15.454]the window, and the most significant SNP.
- [00:01:19.956]A second disclaimer is that every window
- [00:01:22.226]had at least two genes to reference,
- [00:01:24.266]so this presentation will go
- [00:01:25.732]through only one window as an example.
- [00:01:28.077]The process was the same for every window.
- [00:01:31.206]The first step was to use JBrowse in
- [00:01:33.335]Phytozome to search for the selected window.
- [00:01:35.959]For windows that were only one base long,
- [00:01:37.735]genes directly to the left
- [00:01:39.055]and right were used.
- [00:01:40.769]For windows with more than twelve genes,
- [00:01:42.499]as shown in figure 1,
- [00:01:44.259]gene selection was narrowed down to the
- [00:01:45.789]most significant SNP in the window and
- [00:01:47.719]continued in a similar way as those
- [00:01:49.559]with only one base in the window.
- [00:01:51.714]This is shown in figure 2.
- [00:01:53.760]The genes surrounding the selected
- [00:01:55.880]area were used in the next step.
- [00:02:00.205]During step two, the NCBI’s BLAST function
- [00:02:03.485]was used with the DNA sequences
- [00:02:05.540]from the genes in step one to find genes
- [00:02:08.069]in similar species with matching sequences.
- [00:02:11.069]These similar genes were searched for
- [00:02:13.049]functions, and functions that appeared
- [00:02:14.829]multiple times were selected for step 3.
- [00:02:17.508]An example of the BLAST
- [00:02:18.528]results is shown in figure 3.
- [00:02:23.518]The third step used UNIPROT’s database,
- [00:02:26.386]shown in figure 4,
- [00:02:27.952]to search for functions found in step two.
- [00:02:30.657]This was to gain a better understanding
- [00:02:32.367]of the functions to assist in step four.
- [00:02:37.451]In the fourth and final step,
- [00:02:39.504]each function identified was compared
- [00:02:41.264]to the phenotypic results.
- [00:02:42.944]If there was a plausible connection,
- [00:02:44.474]then the gene function and phenotypic
- [00:02:46.194]trait were considered a match.
- [00:02:47.928]For example, the
- [00:02:48.978]CEN-like protein shown in figures 3 and 4,
- [00:02:51.860]which switches from shoot to inflorescence
- [00:02:53.720]growth, would likely match with the
- [00:02:55.350]Boyles Days to Anthesis (or flowering)
- [00:02:57.880]phenotype, but would not match to the
- [00:03:00.370]Morris Testa Tannins (or seed coat
- [00:03:02.170]pigmentation) phenotype. Each
- [00:03:04.720]potential function was matched in this way.
- [00:03:09.153]After completing steps one through four for
- [00:03:11.593]every window and potential gene function,
- [00:03:13.844]a total of 17 out of the 29 windows
- [00:03:16.245]had connections between the gene
- [00:03:17.805]functions and phenotypic traits.
- [00:03:20.000]Most of these windows had one to ten
- [00:03:21.570]matches, but the maximum was
- [00:03:23.090]86 out of 151 phenotypic traits matched.
- [00:03:27.432]There were a total of 12 windows with
- [00:03:29.302]no connections, but two of the windows
- [00:03:31.206]had no gene functions to continue with,
- [00:03:33.402]so these ended at step two.
- [00:03:36.728]The reason these two windows,
- [00:03:38.223]windows 8 and 14, had no gene functions
- [00:03:40.983]is because the similar genes for these
- [00:03:42.704]windows were uncharacterized as of July 2020
- [00:03:45.696]and have unknown functions.
- [00:03:48.049]For the other ten windows with no connections,
- [00:03:50.169]there could still be connections that were
- [00:03:52.039]not found within this study.
- [00:03:54.520]These results will provide potential
- [00:03:56.029]connections to the larger
- [00:03:57.249]research project this is a part of.
- [00:03:59.501]This study will provide more areas
- [00:04:01.885]of the sorghum genome that can be used
- [00:04:03.705]to advance plant breeding and genetics
- [00:04:05.409]to fit sorghum lines to a
- [00:04:06.901]desired environment.
- [00:04:09.132]I wish to say thank you to the
- [00:04:10.683]University of Nebraska-Lincoln and the
- [00:04:12.903]Center for Root and Rhizobiome Innovation
- [00:04:14.919]for allowing me this wonderful
- [00:04:16.240]research opportunity. I also wish to thank
- [00:04:19.010]Dr. Schnable for inviting me into his lab
- [00:04:21.226]and assisting me throughout the summer,
- [00:04:22.796]and to Ravi Mural who allowed me to be a
- [00:04:24.878]part of his research project.
- [00:04:26.428]Thank you!
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