Dudić, Dragana

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  • Dudić, Dragana (5)
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Author's Bibliography

Leaf transcriptome analysis of Lancaster versus other heterotic groups' maize inbred lines revealed different regulation of cold-responsive genes

Banović Đeri, Bojana; Bozić, Manja; Dudić, Dragana; Vicić, Ivan; Milivojević, Marija; Ignjatović-Micić, Dragana; Samardžić, Jelena; Vancetović, Jelena; Delić, Nenad; Nikolić, Ana

(Wiley, Hoboken, 2022)

TY  - JOUR
AU  - Banović Đeri, Bojana
AU  - Bozić, Manja
AU  - Dudić, Dragana
AU  - Vicić, Ivan
AU  - Milivojević, Marija
AU  - Ignjatović-Micić, Dragana
AU  - Samardžić, Jelena
AU  - Vancetović, Jelena
AU  - Delić, Nenad
AU  - Nikolić, Ana
PY  - 2022
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/1576
AB  - One of the strategies for overcoming global climate change threatening to decrease maize yield is early sowing. To contribute to the development of cold-tolerant hybrids this research focused on the genetic background's comparative analysis in maize inbreds with good combining ability. Leaf whole-transcriptome sequencing of 46 maize genotypes revealed 77 differentially expressed genes (DEGs) between Lancaster and other heterotic groups (i.e. BSSS, Iowa dent, Ohio), referred to as non-Lancaster group, under optimal growing conditions. Cold test of the subset of four Lancaster and four non-Lancaster lines showed that the former were cold sensitive and the latter cold tolerant. Cold-induced expression analysis of seven DEGs in eight lines revealed different expression regulation dependent on the duration of cold exposure and genetic background for six out of seven analysed genes-chloroplast ATP-sulphurylase, photosystem II cytochrome b559 alpha subunit, CIPK serine-threonine protein kinase 15, glutamyl-tRNA reductase, photosystem II reaction centre protein I and Calvin cycle CP12-chloroplastic-like encoding genes. The results imply that differently regulated basic processes between Lancaster and non-Lancaster maize group involve, at least, photosynthesis and sulphate assimilation, contributing to their different cold response and different adaptation to low temperatures.
PB  - Wiley, Hoboken
T2  - Journal of Agronomy and Crop Science
T1  - Leaf transcriptome analysis of Lancaster versus other heterotic groups' maize inbred lines revealed different regulation of cold-responsive genes
EP  - 509
IS  - 4
SP  - 497
VL  - 208
DO  - 10.1111/jac.12529
ER  - 
@article{
author = "Banović Đeri, Bojana and Bozić, Manja and Dudić, Dragana and Vicić, Ivan and Milivojević, Marija and Ignjatović-Micić, Dragana and Samardžić, Jelena and Vancetović, Jelena and Delić, Nenad and Nikolić, Ana",
year = "2022",
abstract = "One of the strategies for overcoming global climate change threatening to decrease maize yield is early sowing. To contribute to the development of cold-tolerant hybrids this research focused on the genetic background's comparative analysis in maize inbreds with good combining ability. Leaf whole-transcriptome sequencing of 46 maize genotypes revealed 77 differentially expressed genes (DEGs) between Lancaster and other heterotic groups (i.e. BSSS, Iowa dent, Ohio), referred to as non-Lancaster group, under optimal growing conditions. Cold test of the subset of four Lancaster and four non-Lancaster lines showed that the former were cold sensitive and the latter cold tolerant. Cold-induced expression analysis of seven DEGs in eight lines revealed different expression regulation dependent on the duration of cold exposure and genetic background for six out of seven analysed genes-chloroplast ATP-sulphurylase, photosystem II cytochrome b559 alpha subunit, CIPK serine-threonine protein kinase 15, glutamyl-tRNA reductase, photosystem II reaction centre protein I and Calvin cycle CP12-chloroplastic-like encoding genes. The results imply that differently regulated basic processes between Lancaster and non-Lancaster maize group involve, at least, photosynthesis and sulphate assimilation, contributing to their different cold response and different adaptation to low temperatures.",
publisher = "Wiley, Hoboken",
journal = "Journal of Agronomy and Crop Science",
title = "Leaf transcriptome analysis of Lancaster versus other heterotic groups' maize inbred lines revealed different regulation of cold-responsive genes",
pages = "509-497",
number = "4",
volume = "208",
doi = "10.1111/jac.12529"
}
Banović Đeri, B., Bozić, M., Dudić, D., Vicić, I., Milivojević, M., Ignjatović-Micić, D., Samardžić, J., Vancetović, J., Delić, N.,& Nikolić, A.. (2022). Leaf transcriptome analysis of Lancaster versus other heterotic groups' maize inbred lines revealed different regulation of cold-responsive genes. in Journal of Agronomy and Crop Science
Wiley, Hoboken., 208(4), 497-509.
https://doi.org/10.1111/jac.12529
Banović Đeri B, Bozić M, Dudić D, Vicić I, Milivojević M, Ignjatović-Micić D, Samardžić J, Vancetović J, Delić N, Nikolić A. Leaf transcriptome analysis of Lancaster versus other heterotic groups' maize inbred lines revealed different regulation of cold-responsive genes. in Journal of Agronomy and Crop Science. 2022;208(4):497-509.
doi:10.1111/jac.12529 .
Banović Đeri, Bojana, Bozić, Manja, Dudić, Dragana, Vicić, Ivan, Milivojević, Marija, Ignjatović-Micić, Dragana, Samardžić, Jelena, Vancetović, Jelena, Delić, Nenad, Nikolić, Ana, "Leaf transcriptome analysis of Lancaster versus other heterotic groups' maize inbred lines revealed different regulation of cold-responsive genes" in Journal of Agronomy and Crop Science, 208, no. 4 (2022):497-509,
https://doi.org/10.1111/jac.12529 . .
2
1
2

Bioinformatics pipeline for genotyping and genotype - phenotype association study in maize (Zea mays L.)

Mladenović, Marko; Grčić, Nikola; Dudić, Dragana; Nikolić, Ana; Božić, Manja; Delić, Nenad; Prodanović, Slaven; Banović Đeri, Bojana

(Novi Sad : Faculty of Sciences, Department of Biology and Ecology, 2021)

TY  - CONF
AU  - Mladenović, Marko
AU  - Grčić, Nikola
AU  - Dudić, Dragana
AU  - Nikolić, Ana
AU  - Božić, Manja
AU  - Delić, Nenad
AU  - Prodanović, Slaven
AU  - Banović Đeri, Bojana
PY  - 2021
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/1872
AB  - Multidisciplinary research is today commonly used in plant breeding for improving important agronomic
traits. High throughput genotyping technologies and genotype – phenotype association studies as widely
used for improving breeding programs, depend on bioinformatics analysis for extracting information from
the gathered data. In this research, among plethora of widely used bioinformatics approaches, the custom
made one was chosen, based on the current recommendations in the field.
The material includes a set of 46 maize inbred lines commonly used in maize breeding programs. Phenotyping
was done for thirteen important quantitative agronomic traits in 8 environments during two years (2018
and 2019). For the purpose of genotyping, plants of all inbred lines were grown under optimal conditions
and sampled after completing the V4 growth stage. Total RNA was isolated from the third leaf of three plants
per inbred line and used for cDNA preparation by Illumina TruSeq Stranded RNA LT kit. Pair-end RNA-Seq
based on Next Generation Sequencing methodology was performed on MiSeq Illumina sequencer using
MiSeq Reagent kit, v2 (2 x 150bp). Raw sequencing data of maize leaves’ transcriptionally active genome
regions at the moment of sampling were used for identification of single nucleotide polymorphisms (SNPs)
in each of 46 inbred lines.
Bioinformatics pipeline for data manipulation and analysis was custom made and included FastQC (for
quality control (QC) of raw data), Trimmomatic tool v0.32 (for adapter and contaminants removal, as well
as for the removal of regions with QC below 30), TopHat (insert size 130, standard deviation 50, maximum
intron size 100.000 – for mapping filtered reads onto the B73 maize reference genome v3.0), Cufflinks
v2.2.1 (for reads assembly), Cuffmerge (for the final transcriptome assembly) and an intersection output of
two independent SNPs calling tools FreeBayes and BCFtools (to minimize false positive results). With the
aim to find SNP markers which show strongly statistically supported relationship with favorable values of
investigated quantitative traits, genotype - phenotype association analysis was conducted. It was performed
using two approaches – one relying on the TASSEL software, widely used in agronomics and the other based
on machine learning software like WEKA, rarely used in agronomics. The results of two approaches were
compared and discussed.
PB  - Novi Sad : Faculty of Sciences, Department of Biology and Ecology
C3  - Biologia Serbica
T1  - Bioinformatics pipeline for genotyping and genotype - phenotype association study in maize (Zea mays L.)
IS  - 1 (Special Edition)
SP  - 109
VL  - 43
UR  - https://hdl.handle.net/21.15107/rcub_imagine_1872
ER  - 
@conference{
author = "Mladenović, Marko and Grčić, Nikola and Dudić, Dragana and Nikolić, Ana and Božić, Manja and Delić, Nenad and Prodanović, Slaven and Banović Đeri, Bojana",
year = "2021",
abstract = "Multidisciplinary research is today commonly used in plant breeding for improving important agronomic
traits. High throughput genotyping technologies and genotype – phenotype association studies as widely
used for improving breeding programs, depend on bioinformatics analysis for extracting information from
the gathered data. In this research, among plethora of widely used bioinformatics approaches, the custom
made one was chosen, based on the current recommendations in the field.
The material includes a set of 46 maize inbred lines commonly used in maize breeding programs. Phenotyping
was done for thirteen important quantitative agronomic traits in 8 environments during two years (2018
and 2019). For the purpose of genotyping, plants of all inbred lines were grown under optimal conditions
and sampled after completing the V4 growth stage. Total RNA was isolated from the third leaf of three plants
per inbred line and used for cDNA preparation by Illumina TruSeq Stranded RNA LT kit. Pair-end RNA-Seq
based on Next Generation Sequencing methodology was performed on MiSeq Illumina sequencer using
MiSeq Reagent kit, v2 (2 x 150bp). Raw sequencing data of maize leaves’ transcriptionally active genome
regions at the moment of sampling were used for identification of single nucleotide polymorphisms (SNPs)
in each of 46 inbred lines.
Bioinformatics pipeline for data manipulation and analysis was custom made and included FastQC (for
quality control (QC) of raw data), Trimmomatic tool v0.32 (for adapter and contaminants removal, as well
as for the removal of regions with QC below 30), TopHat (insert size 130, standard deviation 50, maximum
intron size 100.000 – for mapping filtered reads onto the B73 maize reference genome v3.0), Cufflinks
v2.2.1 (for reads assembly), Cuffmerge (for the final transcriptome assembly) and an intersection output of
two independent SNPs calling tools FreeBayes and BCFtools (to minimize false positive results). With the
aim to find SNP markers which show strongly statistically supported relationship with favorable values of
investigated quantitative traits, genotype - phenotype association analysis was conducted. It was performed
using two approaches – one relying on the TASSEL software, widely used in agronomics and the other based
on machine learning software like WEKA, rarely used in agronomics. The results of two approaches were
compared and discussed.",
publisher = "Novi Sad : Faculty of Sciences, Department of Biology and Ecology",
journal = "Biologia Serbica",
title = "Bioinformatics pipeline for genotyping and genotype - phenotype association study in maize (Zea mays L.)",
number = "1 (Special Edition)",
pages = "109",
volume = "43",
url = "https://hdl.handle.net/21.15107/rcub_imagine_1872"
}
Mladenović, M., Grčić, N., Dudić, D., Nikolić, A., Božić, M., Delić, N., Prodanović, S.,& Banović Đeri, B.. (2021). Bioinformatics pipeline for genotyping and genotype - phenotype association study in maize (Zea mays L.). in Biologia Serbica
Novi Sad : Faculty of Sciences, Department of Biology and Ecology., 43(1 (Special Edition)), 109.
https://hdl.handle.net/21.15107/rcub_imagine_1872
Mladenović M, Grčić N, Dudić D, Nikolić A, Božić M, Delić N, Prodanović S, Banović Đeri B. Bioinformatics pipeline for genotyping and genotype - phenotype association study in maize (Zea mays L.). in Biologia Serbica. 2021;43(1 (Special Edition)):109.
https://hdl.handle.net/21.15107/rcub_imagine_1872 .
Mladenović, Marko, Grčić, Nikola, Dudić, Dragana, Nikolić, Ana, Božić, Manja, Delić, Nenad, Prodanović, Slaven, Banović Đeri, Bojana, "Bioinformatics pipeline for genotyping and genotype - phenotype association study in maize (Zea mays L.)" in Biologia Serbica, 43, no. 1 (Special Edition) (2021):109,
https://hdl.handle.net/21.15107/rcub_imagine_1872 .

Bioinformatics analysis of eukaryotic positively oriented single stranded RNA viruses

Banović Đeri, Bojana; Vidanović, Dejan; Bojana, Tešović; Petrović, Tamaš; Ristić, Danijela; Vučurović, Ivan; Dudić, Dragana

(Novi Sad : Faculty of Sciences, Department of Biology and Ecology, 2021)

TY  - CONF
AU  - Banović Đeri, Bojana
AU  - Vidanović, Dejan
AU  - Bojana, Tešović
AU  - Petrović, Tamaš
AU  - Ristić, Danijela
AU  - Vučurović, Ivan
AU  - Dudić, Dragana
PY  - 2021
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/1869
AB  - Positively oriented single stranded RNA viruses [ssRNA(+)] persistently affect health and well-being of all
eukaryotes, including plants, animals and humans (i.e. SARS-CoV-2, yellow fever, hepatitis C, zika, West Nile,
pepper mild mottle virus, etc.). How come these viruses are so wide spread and hard to eradicate? Besides
their high changeability, another major reason is their ability to mimic host processes upon entering the host.
Only recently it was revealed that ssRNA(+) viruses undergo methylation inside the host in the process that
is similar to the methylation of the hosts’ own mRNAs. Such process may enable or disable virus to avoid
some of the host’s defense mechanisms, but it inevitably impacts viral stability and fitness.
Studies on this topic have only started, opening even more questions, with major ones being: how ssRNA(+)
methylation, that occurs in the host, impacts viral pathogenicity and are these methylation patterns different
in different hosts and for different ssRNA(+) viruses or do these viral methylomes share more universal
pattern in concordance with their similar genome organization? Among numerous different methylation
patterns of RNA, this research focused on N6-methyladenosine (m6A), as the most common and abundant
methylation in eukaryotes, which was confirmed to be present in ssRNA(+) viruses as well.
This study searched for patterns in the primary sequences and secondary structures of ssRNA(+) that are
associated to m6A methylation sites relying on the experimentally obtained m6A datasets for eukaryotes and
eukaryotic ssRNA(+) viruses. The results are discussed in view of datasets characteristics and study approach.
PB  - Novi Sad : Faculty of Sciences, Department of Biology and Ecology
C3  - Biologia Serbica
T1  - Bioinformatics analysis of eukaryotic positively oriented single stranded RNA viruses
IS  - 1 (Special Edition)
SP  - 29
VL  - 43
UR  - https://hdl.handle.net/21.15107/rcub_imagine_1869
ER  - 
@conference{
author = "Banović Đeri, Bojana and Vidanović, Dejan and Bojana, Tešović and Petrović, Tamaš and Ristić, Danijela and Vučurović, Ivan and Dudić, Dragana",
year = "2021",
abstract = "Positively oriented single stranded RNA viruses [ssRNA(+)] persistently affect health and well-being of all
eukaryotes, including plants, animals and humans (i.e. SARS-CoV-2, yellow fever, hepatitis C, zika, West Nile,
pepper mild mottle virus, etc.). How come these viruses are so wide spread and hard to eradicate? Besides
their high changeability, another major reason is their ability to mimic host processes upon entering the host.
Only recently it was revealed that ssRNA(+) viruses undergo methylation inside the host in the process that
is similar to the methylation of the hosts’ own mRNAs. Such process may enable or disable virus to avoid
some of the host’s defense mechanisms, but it inevitably impacts viral stability and fitness.
Studies on this topic have only started, opening even more questions, with major ones being: how ssRNA(+)
methylation, that occurs in the host, impacts viral pathogenicity and are these methylation patterns different
in different hosts and for different ssRNA(+) viruses or do these viral methylomes share more universal
pattern in concordance with their similar genome organization? Among numerous different methylation
patterns of RNA, this research focused on N6-methyladenosine (m6A), as the most common and abundant
methylation in eukaryotes, which was confirmed to be present in ssRNA(+) viruses as well.
This study searched for patterns in the primary sequences and secondary structures of ssRNA(+) that are
associated to m6A methylation sites relying on the experimentally obtained m6A datasets for eukaryotes and
eukaryotic ssRNA(+) viruses. The results are discussed in view of datasets characteristics and study approach.",
publisher = "Novi Sad : Faculty of Sciences, Department of Biology and Ecology",
journal = "Biologia Serbica",
title = "Bioinformatics analysis of eukaryotic positively oriented single stranded RNA viruses",
number = "1 (Special Edition)",
pages = "29",
volume = "43",
url = "https://hdl.handle.net/21.15107/rcub_imagine_1869"
}
Banović Đeri, B., Vidanović, D., Bojana, T., Petrović, T., Ristić, D., Vučurović, I.,& Dudić, D.. (2021). Bioinformatics analysis of eukaryotic positively oriented single stranded RNA viruses. in Biologia Serbica
Novi Sad : Faculty of Sciences, Department of Biology and Ecology., 43(1 (Special Edition)), 29.
https://hdl.handle.net/21.15107/rcub_imagine_1869
Banović Đeri B, Vidanović D, Bojana T, Petrović T, Ristić D, Vučurović I, Dudić D. Bioinformatics analysis of eukaryotic positively oriented single stranded RNA viruses. in Biologia Serbica. 2021;43(1 (Special Edition)):29.
https://hdl.handle.net/21.15107/rcub_imagine_1869 .
Banović Đeri, Bojana, Vidanović, Dejan, Bojana, Tešović, Petrović, Tamaš, Ristić, Danijela, Vučurović, Ivan, Dudić, Dragana, "Bioinformatics analysis of eukaryotic positively oriented single stranded RNA viruses" in Biologia Serbica, 43, no. 1 (Special Edition) (2021):29,
https://hdl.handle.net/21.15107/rcub_imagine_1869 .

Differential gene expression analysis of heterotic groups’ maize inbred lines under optimal conditions led to the identification of specific gene regulation under low-temperature

Božić, Manja; Nikolić, Ana; Dudić, Dragana; Ignjatović-Micić, Dragana; Samardžić, Jelena; Delić, Nenad; Banović Đeri, Bojana

(Novi Sad : Faculty of Sciences, Department of Biology and Ecology, 2021)

TY  - CONF
AU  - Božić, Manja
AU  - Nikolić, Ana
AU  - Dudić, Dragana
AU  - Ignjatović-Micić, Dragana
AU  - Samardžić, Jelena
AU  - Delić, Nenad
AU  - Banović Đeri, Bojana
PY  - 2021
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/1874
AB  - Finding new ways of improving crop quality, yield potential and abiotic stress tolerance are some of the most
important pursuits in crop production today. As one of the biggest causes of yield and productivity reduction
is climate change, specifically increasing temperatures and drought during the summer, a large number of
strategies is focussed on lessening their negative effects. Cropping pattern changes include earlier sowing
(early spring), when the temperatures are lower, as one of the most promising escape strategies for avoiding
high summer temperatures. Thus, development of cold tolerant maize lines became an important goal.
Comparative analysis of 46 maize inbred lines belonging to two different genetic backgrounds, one predominantly
cold tolerante (marked as Non-Lancaster) and the other predominantly cold sensitive (marked as
Lancaster) in the field, was done by whole transriptome sequencing and differential gene expression (DGE)
analysis. Plants were grown under optimal, greenhouse conditions and sampled after completing the V4
growth stage. Total RNA isolated from leaves of three plants per inbred line was used for cDNA library preparation
by Illumina TruSeq Stranded RNA LT kit. Pair-end sequencing was performed on MiSeq Illumina
sequencer using MiSeq Reagent kit, v2 (2 x 150bp). Data manipulation and analysis was performed using a
custom-made bioinformatics pipeline that included high throughput sequence data quality control (using
FastQC), removal of low quality reads (using Trimmomatic tool, version 0.32), transcriptome assembly and
mapping (using Cufflinks, version 2.2.1), expression quantification (using CuffDiff) and DGE analysis (using
BLAST2GO and GO analysis Toolkit and Database for Agricultural Community, agriGO v2).
DGE analysis revealed 77 differentially expressed genes (DEGs) between the Lancaster and the Non-Lancaster
group, 21 of which were statistically supported for differential expression between the two groups and
annotated as involved in abiotic stress responses in maize and other plant species. To test DEGs response to
cold stress expression of a subset of seven DEGs in eight inbred lines (4 belonging to Lancaster and 4 belonging
to Non-Lancaster genetic background) was analyzed under 24h long exposure to low temperatures (6/4°
C, 12h photoperiod), with sampling being done 6h and 24h after beginning of the treatment, as well as after
48h of recovery. Six DEGs showed different expression regulation dependent on cold exposure duration and
genetic background. These findings imply differently regulated processes between the analysed Lancaster
and Non-Lancaster inbred lines, contributing to their different cold response and adaptation, and will be
further used for the development of cold tolerant hybrids.
PB  - Novi Sad : Faculty of Sciences, Department of Biology and Ecology
C3  - Biologia Serbica
T1  - Differential gene expression analysis of heterotic groups’ maize inbred lines under optimal conditions led to the identification of specific gene regulation under low-temperature
IS  - 1 (Special Edition)
SP  - 106
VL  - 43
UR  - https://hdl.handle.net/21.15107/rcub_imagine_1874
ER  - 
@conference{
author = "Božić, Manja and Nikolić, Ana and Dudić, Dragana and Ignjatović-Micić, Dragana and Samardžić, Jelena and Delić, Nenad and Banović Đeri, Bojana",
year = "2021",
abstract = "Finding new ways of improving crop quality, yield potential and abiotic stress tolerance are some of the most
important pursuits in crop production today. As one of the biggest causes of yield and productivity reduction
is climate change, specifically increasing temperatures and drought during the summer, a large number of
strategies is focussed on lessening their negative effects. Cropping pattern changes include earlier sowing
(early spring), when the temperatures are lower, as one of the most promising escape strategies for avoiding
high summer temperatures. Thus, development of cold tolerant maize lines became an important goal.
Comparative analysis of 46 maize inbred lines belonging to two different genetic backgrounds, one predominantly
cold tolerante (marked as Non-Lancaster) and the other predominantly cold sensitive (marked as
Lancaster) in the field, was done by whole transriptome sequencing and differential gene expression (DGE)
analysis. Plants were grown under optimal, greenhouse conditions and sampled after completing the V4
growth stage. Total RNA isolated from leaves of three plants per inbred line was used for cDNA library preparation
by Illumina TruSeq Stranded RNA LT kit. Pair-end sequencing was performed on MiSeq Illumina
sequencer using MiSeq Reagent kit, v2 (2 x 150bp). Data manipulation and analysis was performed using a
custom-made bioinformatics pipeline that included high throughput sequence data quality control (using
FastQC), removal of low quality reads (using Trimmomatic tool, version 0.32), transcriptome assembly and
mapping (using Cufflinks, version 2.2.1), expression quantification (using CuffDiff) and DGE analysis (using
BLAST2GO and GO analysis Toolkit and Database for Agricultural Community, agriGO v2).
DGE analysis revealed 77 differentially expressed genes (DEGs) between the Lancaster and the Non-Lancaster
group, 21 of which were statistically supported for differential expression between the two groups and
annotated as involved in abiotic stress responses in maize and other plant species. To test DEGs response to
cold stress expression of a subset of seven DEGs in eight inbred lines (4 belonging to Lancaster and 4 belonging
to Non-Lancaster genetic background) was analyzed under 24h long exposure to low temperatures (6/4°
C, 12h photoperiod), with sampling being done 6h and 24h after beginning of the treatment, as well as after
48h of recovery. Six DEGs showed different expression regulation dependent on cold exposure duration and
genetic background. These findings imply differently regulated processes between the analysed Lancaster
and Non-Lancaster inbred lines, contributing to their different cold response and adaptation, and will be
further used for the development of cold tolerant hybrids.",
publisher = "Novi Sad : Faculty of Sciences, Department of Biology and Ecology",
journal = "Biologia Serbica",
title = "Differential gene expression analysis of heterotic groups’ maize inbred lines under optimal conditions led to the identification of specific gene regulation under low-temperature",
number = "1 (Special Edition)",
pages = "106",
volume = "43",
url = "https://hdl.handle.net/21.15107/rcub_imagine_1874"
}
Božić, M., Nikolić, A., Dudić, D., Ignjatović-Micić, D., Samardžić, J., Delić, N.,& Banović Đeri, B.. (2021). Differential gene expression analysis of heterotic groups’ maize inbred lines under optimal conditions led to the identification of specific gene regulation under low-temperature. in Biologia Serbica
Novi Sad : Faculty of Sciences, Department of Biology and Ecology., 43(1 (Special Edition)), 106.
https://hdl.handle.net/21.15107/rcub_imagine_1874
Božić M, Nikolić A, Dudić D, Ignjatović-Micić D, Samardžić J, Delić N, Banović Đeri B. Differential gene expression analysis of heterotic groups’ maize inbred lines under optimal conditions led to the identification of specific gene regulation under low-temperature. in Biologia Serbica. 2021;43(1 (Special Edition)):106.
https://hdl.handle.net/21.15107/rcub_imagine_1874 .
Božić, Manja, Nikolić, Ana, Dudić, Dragana, Ignjatović-Micić, Dragana, Samardžić, Jelena, Delić, Nenad, Banović Đeri, Bojana, "Differential gene expression analysis of heterotic groups’ maize inbred lines under optimal conditions led to the identification of specific gene regulation under low-temperature" in Biologia Serbica, 43, no. 1 (Special Edition) (2021):106,
https://hdl.handle.net/21.15107/rcub_imagine_1874 .

Revealing new information from existing genomic data for pepper mild mottle virus pathotype determination

Banović Đeri, Bojana; Pajić, Vesna; Dudić, Dragana

(Elsevier Sci Ltd, Oxford, 2018)

TY  - JOUR
AU  - Banović Đeri, Bojana
AU  - Pajić, Vesna
AU  - Dudić, Dragana
PY  - 2018
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/1191
AB  - Primary goals of 21st century science involve eco-friendly solutions for detection, control and suppression of plant viruses. Even though we are accumulating knowledge and data on plant viruses' nucleotide sequences, we are still using a minimum of information available from the collected data. Applying bioinformatics tools and data mining approach to viral sequences is extremely useful in revealing the hidden knowledge, giving guidelines for further biological/bioinformatics studies and developing novel environmental-friendly virus specific defense strategies in crop protection. In this paper we tested to what extent modern bioinformatics methods are able to reveal new information that would bring us closer to our primary goals. On the date of the search (March 2015) we extracted all available PMMoV entries from publically available databases, represented by heterogeneous data set containing 231 nucleotide sequences covering different parts of the PMMoV genome, that were of different geographical origin, related to different time periods, associated with different pathotypes, and were not previously compared to each other. Results revealed that nucleotide content at genomic positions 552, 565, 639, 666, 708, 5921, 5975 and 6002 can be used to discern three distinct PMMoV genotype variants and their association to one of two virus pathotypes, P-1,P-2 or P-1,P-2,P-3. These sites have never been reported as informative before, probably because by being silent mutations they escaped usual research scrutiny of looking for pathotype determinants among nonsense, missense mutations and indels. Our model was further tested in predicting pathotype of ten newly deposited PMMoV sequences and the successful outcome of the test supported the model as an useful asset for discrimination among pathotypes P-1,P-2 and P-1,P-2,P-3 according to distinct nucleotide content in replicase and coat protein encoding genes. Based on the presented results, we also suggested new tests for fast and cost-effective screening of PMMoV pathotypes and eventually for inducing plant resistance against pepper mild mottle virus.
PB  - Elsevier Sci Ltd, Oxford
T2  - Crop Protection
T1  - Revealing new information from existing genomic data for pepper mild mottle virus pathotype determination
EP  - 103
SP  - 93
VL  - 107
DO  - 10.1016/j.cropro.2018.01.017
ER  - 
@article{
author = "Banović Đeri, Bojana and Pajić, Vesna and Dudić, Dragana",
year = "2018",
abstract = "Primary goals of 21st century science involve eco-friendly solutions for detection, control and suppression of plant viruses. Even though we are accumulating knowledge and data on plant viruses' nucleotide sequences, we are still using a minimum of information available from the collected data. Applying bioinformatics tools and data mining approach to viral sequences is extremely useful in revealing the hidden knowledge, giving guidelines for further biological/bioinformatics studies and developing novel environmental-friendly virus specific defense strategies in crop protection. In this paper we tested to what extent modern bioinformatics methods are able to reveal new information that would bring us closer to our primary goals. On the date of the search (March 2015) we extracted all available PMMoV entries from publically available databases, represented by heterogeneous data set containing 231 nucleotide sequences covering different parts of the PMMoV genome, that were of different geographical origin, related to different time periods, associated with different pathotypes, and were not previously compared to each other. Results revealed that nucleotide content at genomic positions 552, 565, 639, 666, 708, 5921, 5975 and 6002 can be used to discern three distinct PMMoV genotype variants and their association to one of two virus pathotypes, P-1,P-2 or P-1,P-2,P-3. These sites have never been reported as informative before, probably because by being silent mutations they escaped usual research scrutiny of looking for pathotype determinants among nonsense, missense mutations and indels. Our model was further tested in predicting pathotype of ten newly deposited PMMoV sequences and the successful outcome of the test supported the model as an useful asset for discrimination among pathotypes P-1,P-2 and P-1,P-2,P-3 according to distinct nucleotide content in replicase and coat protein encoding genes. Based on the presented results, we also suggested new tests for fast and cost-effective screening of PMMoV pathotypes and eventually for inducing plant resistance against pepper mild mottle virus.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Crop Protection",
title = "Revealing new information from existing genomic data for pepper mild mottle virus pathotype determination",
pages = "103-93",
volume = "107",
doi = "10.1016/j.cropro.2018.01.017"
}
Banović Đeri, B., Pajić, V.,& Dudić, D.. (2018). Revealing new information from existing genomic data for pepper mild mottle virus pathotype determination. in Crop Protection
Elsevier Sci Ltd, Oxford., 107, 93-103.
https://doi.org/10.1016/j.cropro.2018.01.017
Banović Đeri B, Pajić V, Dudić D. Revealing new information from existing genomic data for pepper mild mottle virus pathotype determination. in Crop Protection. 2018;107:93-103.
doi:10.1016/j.cropro.2018.01.017 .
Banović Đeri, Bojana, Pajić, Vesna, Dudić, Dragana, "Revealing new information from existing genomic data for pepper mild mottle virus pathotype determination" in Crop Protection, 107 (2018):93-103,
https://doi.org/10.1016/j.cropro.2018.01.017 . .
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