Gerbera daisies are popular worldwide for their wide array of brightly colored flowers. They also make great plants for the garden, and their blooms yield long-lasting cut flowers. Many newlyweds use cut gerbera flowers to decorate their wedding ceremonies.
Gerbera daisies also are increasingly used as garden, bedding, patio and indoor plants. Cut flower gerberas in the United States generated a wholesale value of $32 million in 2015. Many greenhouse growers and nurseries grow gerberas as part of their business.
They’re so important that University of Florida scientists are trying to find out how to breed gerbera daisies that can resist a ruinous disease known as powdery mildew. It’s the plant’s most common and devastating disease.
“When gerbera plants and flowers contract powdery mildew, growers usually rely on repeatedly spraying pesticides to suppress the disease,” said Zhanao Deng, a UF/IFAS environmental horticulture professor and plant breeder. “But there are few options for gardeners and consumers except seeing their beautiful gerbera flowers rapidly becoming unsightly.”
Deng and Krishna Bhattarai — who at the time was a doctoral student in the department of environmental horticulture at the UF/IFAS College of Agricultural and Life Sciences — led a study on the topic.
In the newly published UF/IFAS study, a research team used RNA sequencing to find genes that scientists believe will help breed more resistance to powdery mildew in gerbera daisies.
Here’s what they found:
- 494 gene transcripts from gerbera disease resistance genes, including some that will likely help gerbera resist the disease.
- Four gene transcripts that may make gerbera more susceptible to powdery mildew.
- Tens of thousands of nucleotide sites that are different among gerbera varieties.
Scientists say their findings ease their ability to develop new molecular tools (DNA markers, genetic maps) and to clone disease-resistance genes. It’s an important first step to thwart a disease that can devastate gerbera, said Deng, a faculty member at the UF/IFAS Gulf Coast Research and Education Center.
Heat map of relative expression level (FPKM values)
of 17 upregulated and 24 downregulated transcripts

These transcripts were functionally annotated to confer disease resistance based on BLAST analysis in powdery mildew resistant (UFGE 4033) and susceptible (06–245-03) gerbera breeding lines. Samples R1-R3 and S1-S3 were three biological replicates of UFGE 4033 (R) and 06-245-03 (S) lines, respectively
This study, supported by a grant from the UF/IFAS Plant Breeding Graduate Initiative, is the first analysis of the gerbera leaf transcriptomes that gives scientists, growers and the ornamental plant industry insight into how the plant might resist powdery mildew, Deng said. That’s a crucial yet complex genetic trait in a globally important floral crop, he said. A transcriptome is the total of all the RNA molecules expressed from the genes of an organism.
Powdery mildew strikes gerbera daisies in high humidity and moderate temperatures (between 68 and 82 degrees). Shade can also foster this fungal disease. When the fungus ravages gerbera, patches of white mildew form on leaves and flowers and spread quickly. Affected plant parts look ugly, lose leaves and flowers, and may die. Your local UF/IFAS Extension office can recommend pesticides and strategies for managing this problem.
Meanwhile, Deng and his research team can foresee a time when powdery mildew no longer damages the lovely flowers.
“New molecular tools and disease-resistance genes from this study and future research of a similar nature will help breeders develop better gerbera varieties for growers, packers, shippers, florists and ultimately, customers,” he said.
Source – University of Florida
Bhattarai K, Conesa A, Xiao S, Peres NA, Clark DG, Parajuli S, Deng Z. (2020) Sequencing and analysis of gerbera daisy leaf transcriptomes reveal disease resistance and susceptibility genes differentially expressed and associated with powdery mildew resistance. BMC Plant Biol 20(1):539. [article]
Gerbera daisies are popular worldwide for their wide array of brightly colored flowers. They also make great plants for the garden, and their blooms yield long-lasting cut flowers. Many newlyweds use cut gerbera flowers to decorate their wedding ceremonies.
Gerbera daisies also are increasingly used as garden, bedding, patio and indoor plants. Cut flower gerberas in the United States generated a wholesale value of $32 million in 2015. Many greenhouse growers and nurseries grow gerberas as part of their business.
They’re so important that University of Florida scientists are trying to find out how to breed gerbera daisies that can resist a ruinous disease known as powdery mildew. It’s the plant’s most common and devastating disease.
Deng and Krishna Bhattarai — who at the time was a doctoral student in the department of environmental horticulture at the UF/IFAS College of Agricultural and Life Sciences — led a study on the topic.
In the newly published UF/IFAS study, a research team used RNA sequencing to find genes that scientists believe will help breed more resistance to powdery mildew in gerbera daisies.
Here’s what they found:
Scientists say their findings ease their ability to develop new molecular tools (DNA markers, genetic maps) and to clone disease-resistance genes. It’s an important first step to thwart a disease that can devastate gerbera, said Deng, a faculty member at the UF/IFAS Gulf Coast Research and Education Center.
Heat map of relative expression level (FPKM values)
of 17 upregulated and 24 downregulated transcripts
These transcripts were functionally annotated to confer disease resistance based on BLAST analysis in powdery mildew resistant (UFGE 4033) and susceptible (06–245-03) gerbera breeding lines. Samples R1-R3 and S1-S3 were three biological replicates of UFGE 4033 (R) and 06-245-03 (S) lines, respectively
This study, supported by a grant from the UF/IFAS Plant Breeding Graduate Initiative, is the first analysis of the gerbera leaf transcriptomes that gives scientists, growers and the ornamental plant industry insight into how the plant might resist powdery mildew, Deng said. That’s a crucial yet complex genetic trait in a globally important floral crop, he said. A transcriptome is the total of all the RNA molecules expressed from the genes of an organism.
Powdery mildew strikes gerbera daisies in high humidity and moderate temperatures (between 68 and 82 degrees). Shade can also foster this fungal disease. When the fungus ravages gerbera, patches of white mildew form on leaves and flowers and spread quickly. Affected plant parts look ugly, lose leaves and flowers, and may die. Your local UF/IFAS Extension office can recommend pesticides and strategies for managing this problem.
Meanwhile, Deng and his research team can foresee a time when powdery mildew no longer damages the lovely flowers.
Source – University of Florida
Bhattarai K, Conesa A, Xiao S, Peres NA, Clark DG, Parajuli S, Deng Z. (2020) Sequencing and analysis of gerbera daisy leaf transcriptomes reveal disease resistance and susceptibility genes differentially expressed and associated with powdery mildew resistance. BMC Plant Biol 20(1):539. [article]
Related Posts
Benchmarking RNA sequencing for more accurate alternative splicing analysis
RNA Sequencing identifies new tick-borne virus that causes flu-like illness
Small RNA sequencing reveals regulatory roles for sdRNAs in acute myeloid leukemia
POND-seq enables non-destructive RNA sequencing in living cells
Worm’s radical transformation shows metamorphosis can change the functions of cells
New method allows scientists to follow gene activity over time in the same cells
Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
Spatial mapping of RNA turnover kinetics in the mouse brain
Immune cells offer insights on billion-dollar virus
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Gerbera daisies are popular worldwide for their wide array of brightly colored flowers. They also make great plants for the garden, and their blooms yield long-lasting cut flowers. Many newlyweds use cut gerbera flowers to decorate their wedding ceremonies.
Gerbera daisies also are increasingly used as garden, bedding, patio and indoor plants. Cut flower gerberas in the United States generated a wholesale value of $32 million in 2015. Many greenhouse growers and nurseries grow gerberas as part of their business.
They’re so important that University of Florida scientists are trying to find out how to breed gerbera daisies that can resist a ruinous disease known as powdery mildew. It’s the plant’s most common and devastating disease.
Deng and Krishna Bhattarai — who at the time was a doctoral student in the department of environmental horticulture at the UF/IFAS College of Agricultural and Life Sciences — led a study on the topic.
In the newly published UF/IFAS study, a research team used RNA sequencing to find genes that scientists believe will help breed more resistance to powdery mildew in gerbera daisies.
Here’s what they found:
Scientists say their findings ease their ability to develop new molecular tools (DNA markers, genetic maps) and to clone disease-resistance genes. It’s an important first step to thwart a disease that can devastate gerbera, said Deng, a faculty member at the UF/IFAS Gulf Coast Research and Education Center.
Heat map of relative expression level (FPKM values)
of 17 upregulated and 24 downregulated transcripts
These transcripts were functionally annotated to confer disease resistance based on BLAST analysis in powdery mildew resistant (UFGE 4033) and susceptible (06–245-03) gerbera breeding lines. Samples R1-R3 and S1-S3 were three biological replicates of UFGE 4033 (R) and 06-245-03 (S) lines, respectively
This study, supported by a grant from the UF/IFAS Plant Breeding Graduate Initiative, is the first analysis of the gerbera leaf transcriptomes that gives scientists, growers and the ornamental plant industry insight into how the plant might resist powdery mildew, Deng said. That’s a crucial yet complex genetic trait in a globally important floral crop, he said. A transcriptome is the total of all the RNA molecules expressed from the genes of an organism.
Powdery mildew strikes gerbera daisies in high humidity and moderate temperatures (between 68 and 82 degrees). Shade can also foster this fungal disease. When the fungus ravages gerbera, patches of white mildew form on leaves and flowers and spread quickly. Affected plant parts look ugly, lose leaves and flowers, and may die. Your local UF/IFAS Extension office can recommend pesticides and strategies for managing this problem.
Meanwhile, Deng and his research team can foresee a time when powdery mildew no longer damages the lovely flowers.
Source – University of Florida
Bhattarai K, Conesa A, Xiao S, Peres NA, Clark DG, Parajuli S, Deng Z. (2020) Sequencing and analysis of gerbera daisy leaf transcriptomes reveal disease resistance and susceptibility genes differentially expressed and associated with powdery mildew resistance. BMC Plant Biol 20(1):539. [article]
Related Posts
Benchmarking RNA sequencing for more accurate alternative splicing analysis
RNA Sequencing identifies new tick-borne virus that causes flu-like illness
Small RNA sequencing reveals regulatory roles for sdRNAs in acute myeloid leukemia
POND-seq enables non-destructive RNA sequencing in living cells
Worm’s radical transformation shows metamorphosis can change the functions of cells
New method allows scientists to follow gene activity over time in the same cells
Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
Spatial mapping of RNA turnover kinetics in the mouse brain
Immune cells offer insights on billion-dollar virus
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Stay Connected
Submit a Post to the Blog
Recent Posts
Subscribe to the RNA-Seq Blog
RNA-Seq Products & Services