Martina Grdiša

Prof. Dr. Martina Grdiša

Department of Seed Science and Technology, University of Zagreb, Faculty of Agriculture, 10000 Zagreb, Croatia
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2019 in Industrial Crops and Products
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Journal Article
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TNTonka Ninčević
Tonka Ninčević
MGMartina Grdiša
Martina Grdiša
Zlatko ŠatovićZlatko Šatović
Zlatko Šatović
MJMarija Jug-Dujaković
Marija Jug-Dujaković

6 October 2020 in Phytochemistry Reviews
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Journal Article
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NJNina Jeran
Nina Jeran
MGMartina Grdiša
Martina Grdiša
FVFilip Varga
Filip Varga
ZŠZlatko Šatović
Zlatko Šatović
ZLZlatko Liber
Zlatko Liber
MBMartina Biošić
Martina Biošić

14 August 2014 in PLOS ONE
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Journal Article
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MGMartina Grdiša
Martina Grdiša
ZLZlatko Liber
Zlatko Liber
IRIvan Radosavljević
Ivan Radosavljević
KCKlaudija Carović-Stanko
Klaudija Carović-Stanko
IKIvan Kolak
Ivan Kolak
Zlatko ŠatovićZlatko Šatović
Zlatko Šatović
Dalmatian pyrethrum (Tanacetum cinerariifolium Trevir. /Sch./ Bip.) is an outcrossing, perennial insecticidal plant, restricted to the eastern Adriatic coast (Mediterranean). Amplified fragment-length polymorphisms (AFLP) were used to investigate the genetic diversity and structure within and among 20 natural plant populations. The highest level of gene diversity, the number of private alleles and the frequency down-weighted marker values (DW) were found in northern Adriatic populations and gradually decreased towards the southern boundary of the species range. Genetic impoverishment of these southern populations is most likely the result of human-related activities. An analysis of molecular variance (AMOVA) indicated that most of the genetic diversity was attributed to differences among individuals within populations (85.78%), which are expected due to the outcrossing nature of the species. A Bayesian analysis of the population structure identified two dominant genetic clusters. A spatial analysis of the genetic diversity indicated that 5.6% of the genetic differentiation resulted from isolation by distance (IBD), while 12.3% of the genetic differentiation among populations followed the pattern of isolation by environmental distance (IBED). Knowledge of the genetic diversity patterns of the natural populations and the mechanism behind these patterns is required for the exploitation and possible conservation management of this endemic and economically important species.

13 March 2013 in Chemistry & Biodiversity
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MGMartina Grdiša
Martina Grdiša
SBSandra Babic
Sandra Babic
MPMartina Periša
Martina Periša
KCKlaudija Carović‐Stanko
Klaudija Carović‐Stanko
IKIvan Kolak
Ivan Kolak
Zlatko ŠatovićZlatko Šatović
Zlatko Šatović

20 December 2021 in Scientific Reports
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TNTonka Ninčević
Tonka Ninčević
MJMarija Jug-Dujaković
Marija Jug-Dujaković
MGMartina Grdiša
Martina Grdiša
ZLZlatko Liber
Zlatko Liber
FVFilip Varga
Filip Varga
ZŠZlatko Šatović
Zlatko Šatović
Immortelle (Helichrysum italicum (Roth) G. Don; Asteraceae) is a perennial plant species native to the Mediterranean region, known for many properties with wide application mainly in perfume and cosmetic industry. A total of 18 wild H. italicum populations systematically sampled along the eastern Adriatic environmental gradient were studied using AFLP markers to determine genetic diversity and structure and to identify loci potentially responsible for adaptive divergence. Results showed higher levels of intrapopulation diversity than interpopulation diversity. Genetic differentiation among populations was significant but low, indicating extensive gene flow between populations. Bayesian analysis of population structure revealed the existence of two genetic clusters. Combining the results of FST - outlier analysis (Mcheza and BayeScan) and genome-environment association analysis (Samβada, LFMM) four AFLP loci strongly associated with the bioclimatic variables Bio03 Isothermality, Bio08 Mean temperature of the wettest quarter, Bio15 Precipitation seasonality, and Bio17 Precipitation of driest quarter were found to be the main variables driving potential adaptive genetic variation in H. italicum along the eastern Adriatic environmental gradient. Redundancy analysis revealed that the partitioning of genetic variation was mainly associated with the adaptation to temperature oscillations. The results of the research may contribute to a clearer understanding of the importance of local adaptations for the genetic differentiation of Mediterranean plants and allow the planning of appropriate conservation strategies. However, considering that the identified outlier loci may be linked to genes under selection rather than being the target of natural selection, future studies must aim at their additional analysis.

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ATAnte Turudić
Ante Turudić
ZLZlatko Liber
Zlatko Liber
MGMartina Grdiša
Martina Grdiša
Jernej JakseJernej Jakse
Jernej Jakse
FVFilip Varga
Filip Varga
Zlatko ŠatovićZlatko Šatović
Zlatko Šatović
The development of next-generation sequencing technology and the increasing amount of sequencing data have brought the bioinformatic tools used in genome assembly into focus. The final step of the process is genome annotation, which works on assembled genome sequences to identify the location of genome features. In the case of organelle genomes, specialized annotation tools are used to identify organelle genes and structural features. Numerous annotation tools target chloroplast sequences. Most chloroplast DNA genomes have a quadripartite structure caused by two copies of a large inverted repeat. We investigated the strategies of six annotation tools (Chloë, Chloroplot, GeSeq, ORG.Annotate, PGA, Plann) for identifying inverted repeats and analyzed their success using publicly available complete chloroplast sequences of taxa belonging to the asterid and rosid clades. The annotation tools use two different approaches to identify inverted repeats, using existing general search tools or implementing stand-alone solutions. The chloroplast sequences studied show that there are different types of imperfections in the assembled data and that each tool performs better on some sequences than the others.