Award Abstract # 1545780
RESEARCH-PGR: Genomic Balance Analysis in Maize

NSF Org: IOS
Division Of Integrative Organismal Systems
Recipient: UNIVERSITY OF MISSOURI SYSTEM
Initial Amendment Date: June 21, 2016
Latest Amendment Date: May 26, 2020
Award Number: 1545780
Award Instrument: Continuing Grant
Program Manager: Gerald Schoenknecht
gschoenk@nsf.gov
 (703)292-5076
IOS
 Division Of Integrative Organismal Systems
BIO
 Directorate for Biological Sciences
Start Date: July 1, 2016
End Date: June 30, 2022 (Estimated)
Total Intended Award Amount: $1,982,518.00
Total Awarded Amount to Date: $1,982,518.00
Funds Obligated to Date: FY 2016 = $373,563.00
FY 2017 = $780,264.00

FY 2018 = $407,953.00

FY 2020 = $420,738.00
History of Investigator:
  • James Birchler (Principal Investigator)
    BirchlerJ@missouri.edu
  • Jianlin Cheng (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Missouri-Columbia
121 UNIVERSITY HALL
COLUMBIA
MO  US  65211-3020
(573)882-7560
Sponsor Congressional District: 03
Primary Place of Performance: University of Missouri-Columbia
612 Hitt Street, 313 Tucker Hall
Columbia
MO  US  65211-7400
Primary Place of Performance
Congressional District:
03
Unique Entity Identifier (UEI): SZPJL5ZRCLF4
Parent UEI:
NSF Program(s): Plant Genome Research Project
Primary Program Source: 01001617DB NSF RESEARCH & RELATED ACTIVIT
01001718DB NSF RESEARCH & RELATED ACTIVIT

01001819DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7577, 9109, 9150, 9178, 9179, BIOT
Program Element Code(s): 132900
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.074

ABSTRACT

Genetic information in plants and animals is carried in the DNA of pairs of chromosomes that are carried forward from generation to generation. Change in the numbers, or doses, of individual chromosomes is known to occur, usually with detrimental effects on the stature and health of the affected organism. Surprisingly, there are no obvious differences if the entire set of chromosomes change. This phenomenon has puzzled scientists for decades: what features of the genome maintain balance when fully altered, but are imbalanced when only some chromosomes are affected? This project will examine how and why this partial change in the chromosomes has such an impact on plants. Maize is an ideal model for this study due to its global crop importance and also because of the powerful genetic resources available to test how the so-called genome balancing act occurs. One hypothesis is that the relative expression of regulatory genes, which are the factors that control the expression of other genes, has a significant impact on development and vigor of plants. The research identifies the underlying molecular mechanisms involved in maintaining genomic balance. This knowledge is essential to understand how plant vigor is controlled and will provide information about the traits needed for improving agriculture. Students and educators of all levels are engaged in addressing this problem through direct hands-on research, via social media outlets and outreach workshops. Understanding how regulatory dosage effects operate will guide breeding programs for crop improvement and will answer basic questions about how plant genomes function.

This project is based on a synthesis emerging from the idea of genomic balance known from classical genetics and more recent molecular studies. The overall hypothesis is that the stoichiometry of assembly of multisubunit gene regulatory complexes affects the function of the whole, which will impact global gene expression and ultimately the phenotype. The analysis of genomic balance issues will address: (1) how genomic imbalance affects gene expression levels of mRNA, siRNA, and miRNA as the baseline for understanding the circuitry involved; (2) how small RNAs are involved with genomic balance in modulating mRNA levels and how genomic balance affects small RNA levels; (3) how genomic imbalance impacts and/or operates through chromatin modifications; and (4) how genomic imbalance works on the single gene level by examining the effect of varying the dosage of single subunits on whole complex formation and function. These aspects will be studied in a set of aneuploids generated by translocation with the supernumerary B chromosome of maize that can be used to vary selected chromosome arms in haploid and diploid plants. By examining more complex changes in dosage with greater or lesser genomic imbalance, how the interactions of regulatory processes alter various aspects of gene expression will be tested. Single regulatory gene candidates responsible for target gene modulations will be examined in a transgenic dosage series to gain insight into the mechanism of genomic balance. Together, the information from all of these fields will contribute to an understanding of genomic balance and allow this information to be applied to issues of world food production.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 21)
Adam F. Johnson, Jie Hou, Hua Yang, Xiaowen Shi, Chen Chen, Md. Soliman Islam, Tieming Ji, Jianlin Cheng, and James A. Birchler "Magnitude of modulation of gene expression in aneuploid maize depends on the extent of genomic imbalance" Journal of Genetics and Genomics , v.47 , 2020 , p.93
Adam F. Johnson, Jie Hou, Hua Yang, Xiaowen Shi, Chen Chen, Md. Soliman Islam, Tieming Ji, Jianlin Cheng, and James A. Birchler "Magnitude of modulation of gene expression in aneuploid maize depends on the extent of genomic imbalance." Journal of Genetics and Genomics , v.47 , 2020 , p.93
Chen Chen, Jie Hou, Xiaowen Shi, Hua Yang, James A. Birchler, and Jianlin Cheng "An R package for constructing gene regulatory networks from transcriptomic data" Bioinformatics , 2021 10.1093/bioinformatics/btaa902
Chen Chen, Jie Hou, Xiaowen Shi, Hua Yang, James A. Birchler, and Jianlin Cheng "DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks" BMC Bioinformatics , v.22 , 2021 , p.38
Chen Chen, Jie Hou, Xiaowen Shi, Hua Yang, James A. Birchler, and Jianlin Cheng "GNET2: An R package for constructing gene regulatory networks from transcriptomic data." Bioinformatics , v.37 , 2021 , p.2068
Hong Yao, Sanvesh Srivastava, Nathan Swyers, Fangpu Han, R. W. Doerge, and James A. Birchler "Inbreeding depression in genotypically matched diploid and tetraploid maize" Frontiers in Genetics , v.11 , 2020 , p.564928
Hua Yang, Xiaowen Shi, Chen Chen, Jie Hou, Tieming Ji, Jianlin Cheng, and James A. Birchler "Predominantly inverse modulation of gene expression in genomically unbalanced disomic haploid maize" The Plant Cell , 2021 10.1093/plcell/koab029
Jacob D. Washburn, Mitchell J. McElfresh and James A. Birchler "Progressive heterosis in genetically defined tetraploid maize" Journal of Genetics and Genomics , v.46 , 2019 , p.389
James A. Birchler "Editing the phenotype: A revolution for quantitative genetics" Cell , v.171 , 2017 , p.269
James A. Birchler and Hua Yang "The multiple fates of gene duplications: deletion, hypofunctionalization, subfunctionalization, neofunctionalization, dosage balance constraints, and neutral variation" The Plant Cell , v.34 , 2022 , p.2466
James A. Birchler and Reiner A. Veitia "One Hundred Years of Gene Balance: How stoichiometric issues affect gene expression, genome evolution, and quantitative traits" Cytogenetics and Genome Research , v.161 , 2021 , p.529
(Showing: 1 - 10 of 21)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Changes in the dosage of individual chromosomes have long been known to alter the development and stature of organisms usually in detrimental ways. However, when the whole set of chromosomes is changed, there are less obvious differences. From the chromosomal observations it was hypothesized that the relative expression of regulatory genes has a significant impact on development and vigor of plants. This project examined from a molecular perspective how and why this relative change in the chromosomes has such an impact of organisms. A comprehensive analysis of gene expression was conducted in a large collection of maize plants that had extra or missing portions of chromosomes (aneuploidy) and compared them to a series in which the whole set of chromosomes was varied in one to four doses (polyploidy). The collection of aneuploids had many more changes in gene expression than changes in polyploids. Modulation of gene expression in the aneuploids across the whole genome was predominantly a negative correlation between the dosage of the varied chromosome and the level of expression of affected genes, although positive correlations were also found in a significant number of the aneuploids. This result on the gene expression level matches the types of effects seen on the phenotypic level in basically all plant and animal species in which a comparison has been made. In addition to an examination of the levels of messenger RNAs in the two comparisons, RNAs with regulatory roles such as microRNAs and long noncoding RNAs were examined. These RNAs were modulated similarly to messenger RNAs in the aneuploids and less so in the polyploids. The genome of maize is mostly composed of transposable elements and these have been known to impact the expression of adjacent genes under some circumstances. Thus, their levels were also examined in the comparisons and were found to be modulated similarly as well. Taken together, the results indicate a complex system of gene expression in which the stoichiometry of the components will influence the final output in a dosage sensitive manner. These results suggest that they are the underlying basis for quantitative genetic characteristics. Knowledge of the control of plant vigor and quantitative characteristics is needed for improvements in agriculture and world food production. Understanding how relative regulatory dosage effects operate could guide breeding programs for crop plant improvement.


Last Modified: 10/30/2022
Modified by: James A Birchler

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