Award Abstract # 1546781
RESEARCH-PGR: Transcriptional Control of the Maize Genome

NSF Org: IOS
Division Of Integrative Organismal Systems
Recipient: OHIO STATE UNIVERSITY, THE
Initial Amendment Date: August 9, 2016
Latest Amendment Date: June 3, 2021
Award Number: 1546781
Award Instrument: Standard Grant
Program Manager: Gerald Schoenknecht
gschoenk@nsf.gov
 (703)292-5076
IOS
 Division Of Integrative Organismal Systems
BIO
 Directorate for Biological Sciences
Start Date: August 15, 2016
End Date: July 31, 2022 (Estimated)
Total Intended Award Amount: $993,904.00
Total Awarded Amount to Date: $993,904.00
Funds Obligated to Date: FY 2016 = $993,904.00
History of Investigator:
  • Jay Hollick (Principal Investigator)
    hollick.3@osu.edu
Recipient Sponsored Research Office: Ohio State University
1960 KENNY RD
COLUMBUS
OH  US  43210-1016
(614)688-8735
Sponsor Congressional District: 03
Primary Place of Performance: Ohio State University
OH  US  43210-1016
Primary Place of Performance
Congressional District:
03
Unique Entity Identifier (UEI): DLWBSLWAJWR1
Parent UEI: MN4MDDMN8529
NSF Program(s): Plant Genome Research Project
Primary Program Source: 01001617DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7577, 9109, 9178, 9179, BIOT
Program Element Code(s): 132900
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.074

ABSTRACT

This project defines the passages of information encoded in the maize genome thus enabling the selection, deciphering, and editing, essential to current and future corn improvement strategies. A novel technique is used to delimit the beginning and ends of genome sequences that cellular machines read and transcribe into transient instructions. Three types of these machines transcribe fundamentally different passages in all organisms, but plants have two additional types that transcribe enigmatic regions referred to as "dark matter". In some manner, these "dark matter" instructions impact traits of economic interest by helping guide the coordinate reading of the genetic blueprint necessary for proper growth and optimal health. Although these "dark matter" regions represent the single largest source of genetic variation in worldwide plant varieties, their functions remains poorly understood. This project aims to decipher some of these functions by evaluating the effects of interfering with the transcription machinery dedicated to these "dark matter" regions in diverse maize varieties. The publicly available information, analytical tools, and materials generated by this project will significantly elevate the utility of existing resources and provide an essential reference for novel discoveries in plant biology and genetics. The activities will integrate the training of young scientists at both undergraduate and graduate levels and, in collaboration with the American Chemical Society, provide research experiences for high school students of economic disadvantage. Additionally, educational materials for teaching both basic and advanced genetic concepts will be generated and made available through an existing outreach program of the Arabidopsis Biological Resource Center.

Gene expression is controlled at transcriptional and post-transcriptional levels; yet the contribution of each to RNA abundance is often unknown. In plants, heritable changes to these controls can be impacted by action(s) of Pol II-related RNA polymerase (RNAP) complexes. At least five of these RNAPs are found in grasses but their functional significance(s) remains unclear. This project defines the nascent transcriptional landscape of maize, identifies potential cases of co- or post-transcriptional control, and uses mutant analyses to understand how these Pol II-related RNAP complexes affect gene expression. Specifically, this project will 1) optimize protocols for global run-on sequencing and generate reference nascent transcriptome datasets to enable novel genome annotations; 2) use specific mutants and comparative RNA profiling to differentiate gene regulation due to RNA-directed DNA methylation versus RNAP IV competitions and to allow individual RNA stabilities to be inferred; 3) identify features where regulation is heritably altered in the absence of RNAP IV to catalog epialleles whose transcriptional behaviors resemble those susceptible to paramutation; and 4) use mutant analyses to evaluate the hypothesis that RNAP IV translates environmental perception into changes in heritable transcriptional control. Project outcomes will provide important community resources to understand the nuclear systems that generate and maintain epigenome diversity in a crop species. All data generated from this project will be made immediately available, integrated into existing database frameworks, and promoted through training and outreach opportunities to empower a greater understanding of eukaryotic genetics and the genome biology of crop species.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Jay B. Hollick "Paramutation and related phenomena in diverse species" Nature Reviews Genetics , v.18 , 2017 , p.5 10.1038/nrg.2016.115

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.

Mendelian genetic principles guide our understanding of how traits are defined by specific gene variants (alleles) and are inherited into future generations, like how the human brown eye color trait is due to the inheritance of a single "dominant" allele. However, certain alleles - like some responsible for defining flower or seed colors in corn - exhibit inheritance patterns at variance with Mendelian laws. Previous studies show that some of these exceptional behaviors are influenced by temperature during early seedling development, causing heritable changes in seed coloring. Because modern breeding applies Mendelian rules to adapt agriculturally relevant species to increasing environmental extremes, it is imperative to understand why some alleles exhibit non-Mendelian behaviors and how plant genomes are heritably influenced by the environment.

The project goals were to define the regions of a highly-studied corn genome that are copied into ephemeral bioactive messages, identify other alleles that can be heritably changed from one generation to the next, and investigate the heritable changes occurring to this genome copying process caused by extreme temperatures during seedling stages. Additionally, the project synergistically generated a set of educational corn cob sets suitable for hands-on classroom experiences to learn about both classical Mendelian genetic concepts and exceptional inheritance behaviors, including those defined by inheritance from male vs female parents.

This project adapted a protocol (Global Run-On sequencing - GROseq) for identifying specific regions of the corn genome that are copied/transcribed to RNA messages and the rates at which these transcription events occur. The sequence-based datasets generated from this protocol defined regions previously known to be copied, as well as novel areas of the genome that presumably make RNA molecules that are rapidly degraded. These datasets now facilitate a high-confidence annotation of the B73 inbred corn genome for regions that are copied by a highly-conserved cellular enzyme known as RNA polymerase II (RNAP II). We found that a related, but plant-specific RNA polymerase (RNAP IV), impacts precisely where RNAP II engages DNA to make RNA copies. In the absence of RNAP IV, RNAP II copies alternative regions of the genome and some of these novel patterns persist into the next generation. Thus, we found that RNAP IV action and/or its copied RNAs in the parental generation define the way in which the DNA-based blueprint is interpreted and executed during corn development in the subsequent generation.

Our results identified hundreds of alleles, and other regions, whose normal copying patterns are heritably altered either in the absence of RNAP IV or after heat stress in early development. These alleles represent labile targets of corn improvement strategies that do not conform to canonical Mendelian laws, particularly the concept that alleles remain unchanged from one generation to the next. The project used differences in both seedling temperature and RNAP IV function to show that the corn genome blueprint being copied in future generations is dependent on both paternal parameters. These findings add to a growing list of organisms, and examples, in which paternal environmental experiences have heritable consequences to their offspring, and provide a clear example in which some of these changes are due to the actions of RNAP IV. The specific alleles identified in this project provide a targeted dataset with which to discover the types of chromosome organizations and/or molecular hallmarks that characterize these unusual and highly dynamic genomic regions. The datasets and corn materials developed by this project facilitate our greater understanding of both Mendelian and non-Mendelian inheritance in student education, chromosome biology, evolution, and applied plant sciences.


Last Modified: 07/30/2023
Modified by: Jay B Hollick

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