Source: MICHIGAN TECHNOLOGICAL UNIV submitted to NRP
REGULATORY MECHANISM OF BRANCH ANGLE IN POPLAR TREES
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
1021474
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Dec 18, 2019
Project End Date
Sep 30, 2021
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
MICHIGAN TECHNOLOGICAL UNIV
1400 Townsend Drive
HOUGHTON,MI 49931
Performing Department
College of Forest Resources and Environmental Science
Non Technical Summary
One of the most important traits of woody tree species is the branch angle, which can influence photosynthesis efficiency, tree canopy sizes, tree trunch height and wood quality. Despite its importance, the molecular mechanism underlying the branch angle regulation remains to be elusive and hard to comprehend. At the time being, the completion of poplar genome sequencing and the availability of gene transformation methods as well as high-throughput gene expression profiling methods enable us to initiate a project to investigate this. Here, we propose asystemic approach to scrutinize the underlying molecular mechanism. We will first get started from a set of regulatory genes that are known to regulate the shoot initiation and angle in Arabidopsis and fruit trees. Using an in-vitro system called DAP-seq, we will first identify the target genes of the regulatory gene set and then evaluate their possible functions based on their target genes' types and functions. We will select some regulatory genes from the set and then develop transgenic lines to verify their functions in regulating shoot angle.
Animal Health Component
30%
Research Effort Categories
Basic
50%
Applied
30%
Developmental
20%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
20106201040100%
Goals / Objectives
Objectives:1. Cloning the above mentioned regulatory genes that include TAC1, LAZY1, ESR1, ESR2 and WIND1 from Populus trichocarpa.2. Identification of target genes of the above mentioned regulatory genes including TAC1, LAZY1, ESR1, ESR2 and WIND1. We will predict the functions of these regulatory genes based on their target genes.3. Generation of transgenic lines of the above regulatory genes to test their effects on shoot number and angle.
Project Methods
Gene cloning: Cloning of TAC1, LAZY1, ESR1, ESR2 and WIND1 from poplar trees. Dr. Yinan Yuan will be responsibe for cloning these genes into gateway plasmidvectors. We have cloned all genes except TAC1. We will run 5'RACE assay to acquire the upstream sequences of TAC1 genes. After that, we will re-design the primers to clone the TAC1 genes using PCR. All cloned genes will be verified by DNA sequencing before they are used for further studying.Identification of target genes of TAC1, LAZY1, ESR1, ESR2 and WIND1 using DAP-seq. We will identify the target genes of TAC1, LAZY1, ESR1, ESR2 and WIND1 using DAP-seq technology [6]. First, DNA libraries will be constructed using genomic DNA from shoots of Populus trichocarpa. Secondly, the individual open reading frames (ORFs) of each of above TFs will be transferred to the Gateway-compatible pIX-HALO expression vector. The pIX-HALO-TF construct is then expressed with a plant (wheat germ)-based in vitro transcription/translation coupled system to yield HaloTag-fused protein which can bind to magnetic HaloTag ligand and used for fishing the specific DNA fragment in library. The proteins are purified and then combined with the adaptor-ligated genomic DNA library. The fused protein can bind to genomic fragments containing the promoter sequences of target genes of this TFs. Bound genomic DNA is eluted from the TF and are sequenced using next-generation sequencing. Sequence reads will be mapped to Populus trichocarpa genome to identifying genome-wide binding locations for each TF assayed, from which target genes will be identified. This method may not be appliable to TAC1 and LAZY1 because we still do not know if they have DNA-binding domain, but other three genes are transcription factors.Identification of target genes of TAC1, LAZY1, ESR1, ESR2 and WIND1 through constructing a multilayered hierarchical network. We will develop a transient expression system to perturb the expression levels of TAC1, LAZY1, ESR1, ESR2 and WIND1 genes transiently, and then collect a time series of shoot samples for RNA-seq experiment. The resulting data will be used for building a multilayered hierarchical network, from which we can infer the target genes of these regulators. This is an alternative approach to infer the functions of these regulatory genes if DAP-seq fails to work.Generation of transgenic lines: To generate overexpression transgenic lines of these regulatory genes, we will amplify the full-length of these regulatory genes, and clone it into pCAMBIA1300 vectors, where they will be driven by 35S promoter. To generate suppression lines via RNAi technology, we will use a PK7GWIWG2(II) (http://www.vib.be/VIB/EN/) expression binary vector that was modified from a small binary vector called pPZP222 for generating efficient RNAi constructs. Gene-specific fragments of 200~300 bp can be easily cloned into PK7GWIWG2(II) vector at two different loci and in opposite orientation to facilitate the formation of double-strand RNAs that are extraordinarily efficient in triggering gene silencing. The constructs will be transferred into Agrobacterium tumefaciens AGL1 strain using a freeze-thaw protocol [7]. To generate transgenic lines, we will use A. tumefaciens containing different constructs to infect the leaves of poplar clone INRA 717-IB4 (P. tremula x P. alba) with our standard transformation procedure used routinely. We will generate at least 5 independent transgenic lines per gene construct for selecting up/down-regulated lines with various efficiencies.Characterization of transgenic plants: All transgenic plants will be propagated in vitro and transferred to the greenhouse. Their growth will be monitored and compared to wild-type plants. Transgenics will be subjected to molecular analyses to characterize the integration of transgenes and their expression levels using RT-PCR in order to select the desirable lines for further characterization. Branch angle will be measured and imaged. The transgenic lines with significantly altered shoot number and angle will be subjected to more molecular characterization towards producing a publication.

Progress 12/18/19 to 09/30/21

Outputs
Target Audience:(1) Tree biotechnology research community; (2) Forest owners including forest companies and corporations; (3) Research sponsors;? Changes/Problems:Nothing change, I will resume this project at a later time. However, since this is the third year of this project, this final report is submitted, and resumption will occur through submission ofa new proposal. What opportunities for training and professional development has the project provided?Xuewei Cao, a Ph.D. student with statistical genetics background, was trained to do sequencing data analysis. He worked on the project for a month and learned how to performquality check of sequencing files, sequence alignment, and quantification of gene expression levels from alignment files. How have the results been disseminated to communities of interest? Nothing Reported What do you plan to do during the next reporting period to accomplish the goals?Nothing, I did not request the new fund for the period of 2021-2022. I have no student to doon wetlab research this year and also I have other duites in this period.

Impacts
What was accomplished under these goals? Last year, I reported that we performed DAP-seq experiment and established the sequencing libraries for each of the following genes: Potri.018G02800 RAP2.4-2 Potri.001G398200 SPL4-1 Potri.011G055900 SPL4-2 Potri.011G116800 SPL4-3 Potri.014G025200 RAP2.1 Potri.018G021900 EFR003 Potri.018G021900 EFR003 Potri.010G006800 RAP2.3 Potri.003G162500 RAP2.6 In this past year, wesent the sequencing libraries of above genes to the Genomics Faciltiy at Michigan State University to sequence all libraries. We got the sequences data files in spring 2021. In the summer of 2021, one graduate student, Xuewei Cao, from Mathematics Department, Michigan Tech was hired to analyze the seuqncing data. However, the results were not good. Presumbly, the immunoprecipitation we performed was not successful and needs to be improved. Note that DAP-seq iscomplicated experimentsand usually need to be done multiple times before succeeding. This is the first time the technician has done this.

Publications

  • Type: Journal Articles Status: Published Year Published: 2021 Citation: Deng, W., K. Zhang, C. He, S. Liu and H. Wei*. 2021. HB-PLS: A statistical method for identifying biological process or pathway regulators by integrating Huber loss and Berhu penalty with partial least squares regression. Forestry Research. 1: 6 doi: 10.48130/FR-2021-0006.
  • Type: Journal Articles Status: Published Year Published: 2021 Citation: Hong, J., C. Gunasekara, C. He, C., S. Liu, J. Huang and H. Wei *. 2021. Identification of biological pathway and process regulators using sparse partial least squares and triple-gene mutual interaction. Scientific Reports. https://doi.org/10.1038/s41598-021-92610-4


Progress 12/18/19 to 09/30/20

Outputs
Target Audience:(1) Tree biotechnology research community; (2) Forest owners including forest companies and corporations; (3) Research sponsors; Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?The project provided an opportunity to Dr. Yinan Yuan, who has recently found a tenure-tack position at our college. How have the results been disseminated to communities of interest? Nothing Reported What do you plan to do during the next reporting period to accomplish the goals?The project was suspended due to the pandemic which made it hard to find a researcher to analyze the big sequencedata we generated in the DAP-seq experiment. In the coming year we will workto analyze the big sequence data that was generated.

Impacts
What was accomplished under these goals? We have cloned the following nine candidate regulatorygenes, which possibily regulatethetwig and branch development in poplars. Potri.018G02800 RAP2.4-2 Potri.001G398200 SPL4-1 Potri.011G055900 SPL4-2 Potri.011G116800 SPL4-3 Potri.014G025200 RAP2.1 Potri.018G021900 EFR003 Potri.018G021900 EFR003 Potri.010G006800 RAP2.3 Potri.003G162500 RAP2.6 We then performed DAP-seq experiment, a complicated technology that can be used to identify the target genes of each of above nine regulatory genes. The DAP-seq experimentincludes five bigsteps: (1) isolation of poplar genomic DNA; (2) overexpression of each of above above regulatory gene to produce large quantity of proteins; (3) performance of protein and DNA binding experiment, during which the protein and its bound DNA fragements were immunoprecipitated and purified; (4) makingthe sequencing libraries using the immunoprecipitated DNA fragements, and sending the libraries to a Genomics Faciltiy to sequence using high-throughput facility; (5) analysis ofthe big sequencing data generated. We have completed the steps 1-4 of DAP-seq experiment, but the sequence data have not been analyzed.Itis a lot of work and very demanding.

Publications

  • Type: Journal Articles Status: Published Year Published: 2020 Citation: Deng, W., K. Zhang, Z. Wei, L. Wang, C. He, S. Liu* and H. Wei*. 2020. HB-PLS: An algorithm for identifying biological process or pathway regulators by integrating Huber loss and Berhu penalty with partial least squares regression. bioRxiv, doi: https://doi.org/10.1101/2020.05.16.089623