scholarly journals Structural Equation Modeling (SEM) Analysis of Sequence Variation and Green Plant Regeneration via Anther Culture in Barley

Cells ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2774
Author(s):  
Piotr Tomasz Bednarek ◽  
Renata Orłowska ◽  
Dariusz Rafał Mańkowski ◽  
Sylwia Oleszczuk ◽  
Jacek Zebrowski
Keyword(s):  
Dna Methylation ◽  
Structural Equation Modeling ◽  
Plant Regeneration ◽  
Anther Culture ◽  
Structural Equation ◽  
Sequence Variation ◽  
Green Plant ◽  
Complex Model ◽  
Equation Modeling ◽  
Green Plants

The process of anther culture involves numerous abiotic stresses required for cellular reprogramming, microspore developmental switch, and plant regeneration. These stresses affect DNA methylation patterns, sequence variation, and the number of green plants regenerated. Recently, in barley (Hordeum vulgare L.), mediation analysis linked DNA methylation changes, copper (Cu2+) and silver (Ag+) ion concentrations, sequence variation, β-glucans, green plants, and duration of anther culture (Time). Although several models were used to explain particular aspects of the relationships between these factors, a generalized complex model employing all these types of data was not established. In this study, we combined the previously described partial models into a single complex model using the structural equation modeling approach. Based on the evaluated model, we demonstrated that stress conditions (such as starvation and darkness) influence β-glucans employed by cells for glycolysis and the tricarboxylic acid cycle. Additionally, Cu2+ and Ag+ ions affect DNA methylation and induce sequence variation. Moreover, these ions link DNA methylation with green plants. The structural equation model also showed the role of time in relationships between parameters included in the model and influencing plant regeneration via anther culture. Utilization of structural equation modeling may have both scientific and practical implications, as it demonstrates links between biological phenomena (e.g., culture-induced variation, green plant regeneration and biochemical pathways), and provides opportunities for regulating these phenomena for particular biotechnological purposes.

scholarly journals Efficiency of anther culture technique in the production of wheat double haploids

2008 ◽  
pp. 35-40 ◽  
Author(s):  
Ankica Kondic-Spika ◽  
Borislav Kobiljski ◽  
Nikola Hristov
Keyword(s):  
Triticum Aestivum ◽  
Plant Regeneration ◽  
Anther Culture ◽  
Triticum Aestivum L ◽  
Green Plant ◽  
Culture Technique ◽  
Average Yield ◽  
Green Plants ◽  
Double Haploids

The objective of the study was to investigate efficiency of anther culture in the production of spontaneous double haploids from randomly selected heterozygous genotypes of wheat (Triticum aestivum L.). Anthers of 20 F1 wheat combinations were grown in vitro on a modified Potato-2 medium. All of the examined genotypes have shown the ability to produce pollen calluses as well as to regenerate green plants. On average for the whole experiment material, 47.2 calluses were produced per 100 cultured anthers. The green plant regeneration ranged from 0.8 to 13.4 green plants per spike, with an overall mean of 5.8. From the total of 582 regenerated green plants, 47.9% (279) were spontaneous double haploids. The final average yield from the study was 2.8 double haploids per spike.

scholarly journals Triticale Green Plant Regeneration Is Due to DNA Methylation and Sequence Changes Affecting Distinct Sequence Contexts in the Presence of Copper Ions in Induction Medium

Cells ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 84
Author(s):  
Renata Orłowska ◽  
Katarzyna Anna Pachota ◽  
Piotr Androsiuk ◽  
Piotr Tomasz Bednarek
Keyword(s):  
Plant Regeneration ◽  
Anther Culture ◽  
Sequence Variation ◽  
De Novo ◽  
Copper Ions ◽  
Green Plant ◽  
Dna Demethylation ◽  
Induction Medium ◽  
Regeneration Efficiency ◽  
De Novo Methylation

Metal ions in the induction medium are essential ingredients allowing green plant regeneration. For instance, Cu(II) and Ag(I) ions may affect the mitochondrial electron transport chain, influencing the Yang cycle and synthesis of S-adenosyl-L-methionine, the prominent donor of the methylation group for all cellular compounds, including cytosines. If the ion concentrations are not balanced, they can interfere with the proper flow of electrons in the respiratory chain and ATP production. Under oxidative stress, methylated cytosines might be subjected to mutations impacting green plant regeneration efficiency. Varying Cu(II) and Ag(I) concentrations in the induction medium and time of anther culture, nine trials of anther culture-derived regenerants of triticale were derived. The methylation-sensitive AFLP approach quantitative characteristics of tissue culture-induced variation, including sequence variation, DNA demethylation, and DNA de novo methylation for all symmetric-CG, CHG, and asymmetric-CHH sequence contexts, were evaluated for all trials. In addition, the implementation of mediation analysis allowed evaluating relationships between factors influencing green plant regeneration efficiency. It was demonstrated that Cu(II) ions mediated relationships between: (1) de novo methylation in the CHH context and sequence variation in the CHH, (2) sequence variation in CHH and green plant regeneration efficiency, (3) de novo methylation in CHH sequences and green plant regeneration, (4) between sequence variation in the CHG context, and green plant regeneration efficiency. Cu(II) ions were not a mediator between de novo methylation in the CG context and green plant regeneration. The latter relationship was mediated by sequence variation in the CG context. On the other hand, we failed to identify any mediating action of Ag(I) ions or the moderating role of time. Furthermore, demethylation in any sequence context seems not to participate in any relationships leading to green plant regeneration, sequence variation, and the involvement of Cu(II) or Ag(I) as mediators.

scholarly journals Androgenous ability of heterozygous wheat genotypes and cytological characteristics of green regenerants

Genetika ◽  
2006 ◽  
Vol 38 (2) ◽  
pp. 153-158
Author(s):  
Branka Ljevnaic ◽  
Ankica Kondic-Sipka ◽  
Borislav Kobiljski ◽  
Srbislav Dencic
Keyword(s):  
Triticum Aestivum ◽  
Plant Regeneration ◽  
Anther Culture ◽  
Triticum Aestivum L ◽  
Green Plant ◽  
Regeneration Ability ◽  
Cytological Analysis ◽  
Green Plants ◽  
Albino Plants ◽  
Cytological Characteristics

Androgenous and regeneration abilities of 8 heterozygous wheat (Triticum aestivum L.) genotypes were analyzed in anther culture. Cytological characteristics of green regenerants were also analyzed. Significant differences were found among the genotypes in their androgenous and regeneration abilities. The average androgenous capacity of all genotypes was 4.4% ranging from 0.7% (Prima/Hueguen) to 11.0% (NS173-98/NS164-98). The average callus yield was 8.7%. The genotype Banks/F53-70 produced the highest number of green plants (33 green plants), while the genotype Banks/Pobeda showed no green plant regeneration ability. The frequency of albino plants ranged between 0% (Banks/Rodna) and 5.3% (Anastasija/Radika). A total of 61 green and 61 albino plants were regenerated. The results of cytological analysis showed that, from the total number of regenerated green plants, 40.9% were haploids and 59.1% were spontaneous double haploids.

scholarly journals The Effect of Caffeine and Trifluralin on Chromosome Doubling in Wheat Anther Culture

Plants ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 105
Author(s):  
Sue Broughton ◽  
Marieclaire Castello ◽  
Li Liu ◽  
Julie Killen ◽  
Anna Hepworth ◽  
...  
Keyword(s):  
Plant Regeneration ◽  
Anther Culture ◽  
Chromosome Doubling ◽  
Green Plant ◽  
Plant Production ◽  
Induction Phase ◽  
Green Plants ◽  
Genome Doubling ◽  
Negative Effect ◽  
Spontaneous Chromosome

Challenges for wheat doubled haploid (DH) production using anther culture include genotype variability in green plant regeneration and spontaneous chromosome doubling. The frequency of chromosome doubling in our program can vary from 14% to 80%. Caffeine or trifluralin was applied at the start of the induction phase to improve early genome doubling. Caffeine treatment at 0.5 mM for 24 h significantly improved green plant production in two of the six spring wheat crosses but had no effect on the other crosses. The improvements were observed in Trojan/Havoc and Lancer/LPB14-0392, where green plant numbers increased by 14% and 27% to 161 and 42 green plants per 30 anthers, respectively. Caffeine had no significant effect on chromosome doubling, despite a higher frequency of doubling in several caffeine treatments in the first experiment (67–68%) compared to the control (56%). In contrast, trifluralin significantly improved doubling following a 48 h treatment, from 38% in the control to 51% and 53% in the 1 µM and 3 µM trifluralin treatments, respectively. However, trifluralin had a significant negative effect on green plant regeneration, declining from 31.8 green plants per 20 anthers (control) to 9–25 green plants per 20 anthers in the trifluralin treatments. Further work is required to identify a treatment regime with caffeine and/or anti-mitotic herbicides that consistently increases chromosome doubling in wheat without reducing green plant regeneration.

Genetic control of green plant regeneration from anther culture of wheat

Genome ◽  
1992 ◽  
Vol 35 (6) ◽  
pp. 957-961 ◽  
Author(s):  
Huaping Zhou ◽  
Calvin F. Konzak
Keyword(s):  
Plant Regeneration ◽  
Anther Culture ◽  
Genetic Control ◽  
Green Plant ◽  
Nuclear Genes ◽  
Plant Production ◽  
Reciprocal Crosses ◽  
Green Plants ◽  
Cereal Breeding

The low percentage of green plants from anther cultures has limited the applications of haploid techniques in cereal breeding programs. The objective of this study was to estimate the genetic control of green plant percentage in wheat anther culture. Reciprocal crosses were made between a spring wheat 'Chris', which produces a high percentage of green plants, and an experimental line WA7176, which produces a low percentage of green plants. The reciprocal crosses were backcrossed with the respective male parents. A second group of reciprocal crosses and backcrosses was made between 'Yecora Rojo' (high green plant producing parent) and 'Edwall' (low green plant producing parent). Anthers from the parents, reciprocal cross, and backcross progeny were cultured to estimate the relative importance of nuclear genes in the control of green plant production. The percentages of green plants derived from the reciprocal crosses were intermediate between the parents and no significant reciprocal differences were detected. Backcrosses of the reciprocal crosses shifted the percentage of green plants towards the male parents. These results indicate that the percentages of green plants from anther culture of the tested genotypes are under the control of nuclear genes and that the genes are predominantly additive. Significant differences (p ≤ 0.05) for green plant percentage as well as for callus induction and plant regeneration were also detected within the parental genotypes. The within-genotype variation for green plant percentage accounted for 24.5 and 34.1% of total variation for the two groups of crosses, indicating the potential for in vitro prescreening to identify specific parental plants to improve anther culture responses.Key words: Triticum aestivum, wheat, anther culture, albinism, inheritance.

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

Further Insights Into the German Version of the Multidimensional Assessment of Interoceptive Awareness (MAIA)

2019 ◽  
Vol 35 (3) ◽  
pp. 317-325 ◽  
Author(s):  
Dorota Reis
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Interoceptive Awareness ◽  
Multidimensional Assessment ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Complex Models ◽  
Approximate Zero ◽  
Bayesian Structural Equation Modeling

Abstract. Interoception is defined as an iterative process that refers to receiving, accessing, appraising, and responding to body sensations. Recently, following an extensive process of development, Mehling and colleagues (2012) proposed a new instrument, the Multidimensional Assessment of Interoceptive Awareness (MAIA), which captures these different aspects of interoception with eight subscales. The aim of this study was to reexamine the dimensionality of the MAIA by applying maximum likelihood confirmatory factor analysis (ML-CFA), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM). ML-CFA, ESEM, and BSEM were examined in a sample of 320 German adults. ML-CFA showed a poor fit to the data. ESEM yielded a better fit and contained numerous significant cross-loadings, of which one was substantial (≥ .30). The BSEM model with approximate zero informative priors yielded an excellent fit and confirmed the substantial cross-loading found in ESEM. The study demonstrates that ESEM and BSEM are flexible techniques that can be used to improve our understanding of multidimensional constructs. In addition, BSEM can be seen as less exploratory than ESEM and it might also be used to overcome potential limitations of ESEM with regard to more complex models relative to the sample size.

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