Effects Of Multiple Interactions Research Articles

Preparation of polyhydroxyl adsorbent and its application in the removal of Ginkgolic acids

Extracts of Ginkgo biloba (EGb) have many biological activities, but contain a small amount of toxic ginkgolic acids, limiting the use of EGb. Based on the structural characteristics of ortho-hydroxy-carboxyl group on ginkgolic acids, we introduced hydrophilic polyhydroxy structure into hydrophobic polydivinylbenzene (PDVB) frameworks by reinitiation of suspended double bonds. A kind of adsorbent (DVA adsorbent) with hydrophobic - hydrophilic framework, uniform functional group distribution, high specific surface area and high crosslinking structure was synthesized. DVA adsorbent can selectively remove ginkgolic acids based on synergistic effect of multiple weak interactions with ginkgolic acids. DVA-20, which had the highest adsorption capacity and the best adsorption selectivity. After 30 bed volume (BV) adsorption solution was treated with DVA-20, the concentration of ginkgolic acids in the effluent decreased from 1781 ppm to 1.5 ppm, and the recovery of ginkgo flavonoids and lactones was nearly 100%. Moreover, DVA-20 has good repeatability. The EGb production process based on DVA-20 was established. The new process is continuous and can obtain both ginkgolic acids and EGb while meeting international standards, and has a very broad application prospect.

The Effect of Multiple Coexisting Convective Modes in Determining Thermoacoustic Behavior of a Partially Premixed Swirl Flame

Abstract This study focuses on the effect of multiple heat release mode interactions on the amplitude of unsteady pressure oscillation for a partially premixed radial swirl burner, which uses methane as fuel. A range of operating conditions based on inlet airflow rate and global equivalence ratio is considered for this purpose. The pressure time series shows amplitude modulation at the dominant frequency for all the flow rates and equivalence ratios considered. Wavelet analysis based on continuous wavelet transform illustrates the presence of heat release rate fluctuations at multiple frequencies other than the dominant mode of pressure oscillation, with this more pronounced at low frequencies. Spectral proper orthogonal decomposition performed on time-resolved CH* chemiluminescence images reveal four dominant spatial modes of chemiluminescence, chosen based on the dominant wavelet coefficients for the same. The identified frequencies correspond to the duct-acoustic mode, helical mode (spectrally close to acoustic mode), low-frequency axisymmetric mode and low-frequency helical mode. The low-frequency helical mode (considered as the result of nonlinear interaction between acoustic and helical mode) and the low-frequency axisymmetric mode (considered to have independent existence) have similar spectral content. Amplitude modulation of unsteady pressure is found to be a result of the superposition of duct-acoustic mode and low-frequency axisymmetric mode, whereas reduction in overall pressure amplitude with the decrease in global equivalence ratio is seen to be a result of an increase in the dominance of low-frequency helical mode. The relative dominance of low-frequency helical mode over dominant pressure mode reduces the overall pressure amplitude.

Overlapping association signals in the genetics of hair-related phenotypes in humans and their relevance to predictive DNA analysis

Genetic prediction of different hair phenotypes can help reconstruct the physical appearance of an individual whose biological sample is analyzed in criminal and identification cases. Up to date, forensic prediction models for hair colour, hair shape, hair loss and hair greying have been developed, but studies investigating predictability of hair thickness and density traits are missing. First data suggesting overlapping associations in various hair features have emerged in recent years, suggesting partially common genetic basis and molecular mechanisms, and this knowledge can be used for predictive purposes. Here we aim to broaden our understanding of the genetics underlying head, facial and body hair thickness and density traits and examine the association for a set of literature SNPs. We characterize the overlap in SNP association for various hair phenotypes, the extent of genetic interactions and the potential for genetic prediction. The study involved 999 samples from Poland, genotyped for 240 SNPs with targeted next-generation sequencing. Logistic regression methods were applied for association and prediction analyses while entropy-based approach was used for interaction testing. As a result, we refined known associations for monobrow and hairiness (PAX3, 5q13.2, TBX) and identified two novel association signals in IGFBP5 and VDR. Both genes were among top significant loci, showed broad association with different hair-related traits and were implicated in multiple interaction effects. Overall, for 14.7% of SNPs previously associated with head hair loss and/or hair shape, a positive signal of association was revealed with at least one hair feature studied in the current research. Overlap in association with at least two hair-related traits was demonstrated for 24 distinct loci. We showed that the associated SNPs explain ∼5–30% of the variation observed in particular hair traits and allow moderate accuracy of prediction. The highest accuracy was achieved for hairiness level prediction in females (AUC = 0.69 for the “none”, 0.69 for the “low” and 0.76 for the “excessive” hairiness category) and monobrow (AUC = 0.69 for the “none”, 0.62 for the “slight” and 0.70 for the “significant” monobrow category) with 33% of the variation in hairiness level in females explained by 7 SNPs and age, and 20% of the variation in monobrow captured by 7 SNPs and sex. Our study presents clear evidence of pleiotropy and epistasis in the genetics of hair traits. The acquired knowledge may have practical application in forensics, as well as in the cosmetic industry and anthropological research.

Clinical outcome of patients with mild pre-stroke morbidity following endovascular treatment: a HERMES substudy

BackgroundAnalyses of the effect of pre-stroke functional levels on the outcome of endovascular therapy (EVT) have focused on the course of patients with moderate to substantial pre-stroke disability. The effect...

Dissection of genotype × temperature interactions for antioxidant enzymes in Takifugu rubripes

The activities of antioxidant factors superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPX) were measured in the livers of Takifugu rubripes cultured at 16 °C, 20 °C, 24 °C, 28 °C, and 32 °C. Additive main effects and multiplicative interaction (AMMI) and genotype main effects and genotype × environment interaction (GGE) Biplot analyses were used to analyze the effects of genotype × temperature interactions on the antioxidant activities. The results of AMMI analysis revealed that antioxidant activities were significantly affected by genotype (93.532%), temperature (2.978%), and genotype × temperature (2.026%) interactions. GGE Biplot analysis revealed differences in the ranking of the three antioxidant activities at the five culture temperatures: the strongest ability to distinguish the three antioxidant factors was detected at 16 °C; the five test temperatures were divided into two regions, 16–20 °C and 24–32 °C; the activity of SOD was highest at 16–20 °C and GPX activity was highest at 24–32 °C; SOD exhibited the best activity and stability of the three antioxidants at the five temperatures tested.

Stability Analysis and Heterotic Studies in Maize (Zea mays L.) Inbreds to Develop Hybrids With Low Phytic Acid and High-Quality Protein.

Maize is a major staple crop with high value as food and feed in the poultry sector. Considering the overall nutritional value, maize-based diets comprise two major constraints, i.e., higher phytic acid (PA) and lack of tryptophan. To overcome these issues, a set of identified stable donors for low PA (lpa) and higher tryptophan were crossed in a line × tester fashion, and the hybrids obtained were evaluated at three locations with two replications. Among the inbreds for yield, UMI 1201 and UMI 1205 were the stable good combiners, and for PA, UMI 447 and LPA-2-285 were identified as efficient combiners across locations. Subsequently, 72 hybrids developed from these inbreds had a reduced phytate and higher tryptophan compared with checks having alterations in their yield levels. From Additive Main Effects and Multiplicative Interaction (AMMI) and Genotype main effect plus genotype-by-environment interaction (GGE) biplots, DMR-QPM-09-13-1 × UMI 1099 (PA:9.38 mg/g, trp:0.06%, and yield:184.35 g) and UMI 1205 × UMI 467 (PA:7.04 mg/g, trp:0.06%, and yield:166.39 g) were stable for their high yield with medium PA and tryptophan. Also, across environments, UMI 1200 × UMI 467 had a stable average yield of 129.91 g along with the lowest PA of 4.50 mg/g and higher tryptophan of 0.07%. Thus, these hybrids could be selected and evaluated in upcoming biofortification trials to benefit the poultry sector. Furthermore, the parental inbreds utilized were grouped into heterotic pools to serve as a source population for the development of lpa hybrids in future programs.

Research on carbon emission differences decomposition and spatial heterogeneity pattern of China's eight economic regions.

To explore the sources of regional carbon emission differences and the evolution characteristics of spatial heterogeneity pattern, this paper first calculates the corresponding carbon emissions according to the relevant statistical data of eight economic regions in China from 2005 to 2019. It analyzes the overall differences and temporal and spatial evolution characteristics of regional carbon emissions combined with the visualization method of GIS. Then, the total carbon emission difference is decomposed by the Theil index to find out the primary sources affecting the regional carbon emission difference. Finally, the driving factors affecting the spatial heterogeneity pattern of regional carbon emissions are studied with the help of the Geodetector method. The results show that (1) significant differences in carbon emissions among China’s eight economic regions. The contribution rate of inter-regional and intra-regional differences of carbon emissions in different regions to the overall carbon emission difference is diverse. (2) Regional carbon emissions are affected by single driving factors and the interaction of two driving factors. The interaction has an increasing impact on the determinant of regional carbon emission spatial differentiation. (3) The factor detection results and interaction detection results, respectively, show that the level of energy consumption, industrialization, and technological development has always been the main driving factors affecting the spatial heterogeneity pattern of regional carbon emissions, and the critical interaction factors have multiple spatial superposition interaction effects. Therefore, regional carbon emission reduction should consider the national strategic objectives and own regional characteristics and implement differentiated emission reduction schemes.

A multi-environments-gene interaction study of anxiety, depression and self-harm in the UK Biobank cohort

The effects of gene-by-environment (G×E) interactions on complex diseases are significant, especially the superimposed effects of multiple environmental factors. However, research on the multi-environments-gene interactions of anxiety, depression, and self-harm is still limited. This study included white individuals (N = 66,041–74,482) from the UK Biobank. We fitted all environmental factors to a single environmental score (ES), and the estimated ES was used to calculate the multiplicative interaction effects between ES and genome-wide SNPs. Heritability was stratified by minor allele frequency (MAF) and linkage disequilibrium (LD). Our research found 10 loci with significant interaction effects, such as rs114830993 (PRICKLE2, P = 2.30 × 10−8), rs151323364 (ASTN2, P = 2.71 × 10−10) and rs536631793 (SYN3, P = 4.09 × 10−8). In addition, we found that G×E heritability has a significant contribution to the depression of Patient Health Questionnaire-9 (PHQ-9) scores (h2G×E (female) = 6.1%, h2G×E (male) = 8.7%). Our research supported the important influence of multi-environments-gene interactions on anxiety, depression, and self-harm and provided clues for the prevention and etiological research of them.

Tryptophan association in water driven by charge-transfer interactions with electron-deficient aromatic haptens.

The ability of a series of electron-deficient aromatic compounds to form charge-transfer complexes with tryptophan in water has been evaluated by X-ray diffraction studies, UV-vis spectra and NMR. As dinitrophenyl (DNP) ligands are well-known to generate antibody-mediated responses and the π-π stacking interactions with tryptophan residues of the antibody Fab fragment have been reported, most of the aromatic receptors studied here are nitro derivatives. Charge-transfer interactions between the rich indole ring of tryptophan and the electron-deficient aromatic receptors have been observed in the solid state, as four crystal structures of the complexes were obtained. The aromatic donor-acceptor interactions in solution were also verified by UV-vis and NMR spectroscopy. The association of the tripeptide Trp-Gly-Trp, a motif found in antigen Ag43, with the electron-deficient aromatic diimide was also studied by UV-vis and NMR spectroscopy. Our results show that these simple electron-deficient molecules could potentially behave as novel haptens and be incorporated in more elaborated drugs targeting protein-protein interactions, due to the synergistic effect of multiple non-covalent interactions.

Functionalized planar aromatic rings as precursors to energetic N,N′-(4,6-dinitro-1,3-phenylene)dinitramide and its salts

The synergetic effect of multiple weak non-covalent interactions is found to be effective in increasing the molecular stability of energetic N,N′-(4,6-dinitro-1,3-phenylene)dinitramide and its salts.

Posicionamento estratégico da soja com base no ideótipo agronômico e nos modelos multivariados fixos e mistos

Abstract The objective of this work was to decompose the variations of the genotype × environment interaction through fixed multivariate models, as well as to understand the genetic variations through mixed models, for the estimation and prediction of the genetic value of soybean (Glycine max) genotypes in the state of Rio Grande do Sul, Brazil. Tests were carried out during the 2016/2017, 2017/2018, and 2018/2019 crop seasons in different municipalities in six regions of the state, using the additive main effects and multiplicative interaction (AMMI) and genotype main effects + genotype-by-environment interaction (GGE) models. The genotypes were also evaluated using an index that allows weighting between mean performance and stability (WAASBY) and by the restricted maximum likelihood (REML) and the best linear unbiased prediction (BLUP) models. The used experimental design was randomized complete blocks (18 environments x 12 genotypes), with three replicates. The best performing genotypes in favorable environments are: 'BMX Valente RR', 'BMX Alvo RR', 'NS 5959 IPRO', 'DM 5958RSF IPRO', and 'BMX Ativa RR'. The favorable environments are the 2017/2018 season in the municipality of Bagé and the 2016/2017 season in the municipalities of São Luiz Gonzaga and Cachoeira do Sul, where higher grain yields were obtained. The genotypes that show excellent performance in unfavorable environments are cultivars BMX Ativa RR, DM 5958RSF IPRO, NS 5959 IPRO, and TMG 7262 RR. The 2016/2017 season is considered unfavorable in the municipalities of São Luiz Gonzaga and Cachoeira do Sul. The AMMI, GGE, and WAASBY or BLUP models for genotype selection must be used simultaneously.

Influence of Multiple Interactions in Value Cocreation on Sports Spectators’ Perceived Value of Sports Events

This study analyzed the effects of multiple interactions in value cocreation activities involving sports spectators. Interaction activities for value cocreation at sports events comprise spectator-athlete and spectator-staff interactions. A survey of spectators at the 2017 Wuhan Open revealed that spectator-athlete and spectator-staff interactions increased spectator perceived value, which in turn increased spectator satisfaction and loyalty. Spectator-staff interactions had a greater effect on spectator sports event value than did spectator-athlete interactions. Therefore, organizers of sports events should effectively manage multiple value cocreation interactions to improve spectator satisfaction and loyalty. The present study’s consideration of the effect of multiple interactions in value cocreation extends value cocreation theory.

Interaction effect of serum serotonin level and age on the 12-week pharmacotherapeutic response in patients with depressive disorders

Despite the recognized antidepressant role of serotonin (5-hydroxytryptamine [5-HT]) signaling pathways in the central nervous system, the association between baseline peripheral 5-HT level and the antidepressant treatment response in clinical studies remains debatable. We investigated the interaction effects of baseline serum 5-HT level and age on the 12-week remission in outpatients with depressive disorders who received stepwise antidepressant treatment. Baseline serum serotonin levels were measured and the age of 1094 patients recorded. The patients received initial antidepressant monotherapy; then, patients with an insufficient response or who experienced uncomfortable side effects received alternative treatments every 3 weeks (3, 6, and 9 weeks). Subsequently, 12-week remission, defined as a Hamilton Depression Rating Scale (HAMD) score of ≤ 7, was evaluated. Individual and interaction effects of serum 5-HT level (as a binary [low vs. high, based on the median value of 72.6 ng/mL] or continuous variable) and age (as a binary [< 60 vs. ≥ 60 years] or continuous variable) on the 12-week remission rate were analyzed using logistic regression models after adjusting for relevant covariates. High 5-HT (≥ 72.6 ng/mL) and age ≥ 60 years were associated with the highest 12-week remission rates and a significant multiplicative interaction effect. The interaction effect of the two variables on the 12-week remission rate was significant even when analyzed as a continuous variable. Our study suggests that the association between baseline serum 5-HT level and 12-week antidepressant treatment outcomes differs according to patient age.

Inequality in Social Support Associated With Mild Cognitive Impairment: A Cross-Sectional Study of Older (≥60 Years) Residents in Shanghai, China.

Objective: Social support plays a critical role in the detection and management of mild cognitive impairment (MCI). However, socioeconomic inequalities exist in both social support and health care services. Our study aimed to compare the level of social support received by MCI patients in comparison with those without MCI and to determine its link with income.Methods: Secondary data analyses were performed. Social support was measured using the Duke Social Support Index (DSSI) and satisfaction ratings. Multivariate logistic regression models were constructed to determine the associations of personal income and MCI with social support after adjustment for variations in the sociodemographic and health characteristics of the respondents. The multiplicative and additive interaction effects of income and MCI were further examined through introducing the MCI*Income variable to the regression models and using the relative excess risk due to interaction (RERI) analysis, respectively.Results: The logistic regression models showed that the respondents with MCI had significantly lower social support as measured by the DSSI scores (AOR = 33.03, p < 0.001) and satisfaction ratings (AOR = 7.48, p < 0.001) compared with those without MCI. Similarly, social support decreased with lower personal income (p < 0.001). There existed a significant multiplicative interaction effect between personal income and MCI on social support (AOR = 0.30–0.32, p < 0.01). The gap in social support between those with and without MCI was higher in the higher income group compared with the lower income group (p < 0.001). No significant additive interaction effects on social support were found between MCI and income.Conclusions: There are significant disparities in social support between people living with and without MCI. Such a gap is more profound in people with higher income. The inequality in social support associated with MCI may present a significant challenge to the successful implementation of community MCI detection and management.

Predators balance consequences of climate-change-induced habitat shifts for range-shifting and resident species.

While many species distributions are shifting poleward or up in elevation in response to a changing climate, others are shifting their habitats along localized gradients in environmental conditions as abiotic conditions become more stressful. Whether species are moving across regional or local environmental gradients in response to climate change, range-shifting species become embedded in established communities of competitors and predators. The consequences of these shifts for both resident and shifting species are often unknown, as it can be difficult to isolate the effects of multiple species interactions. Using a model system of insects in high-elevation ponds in the Rocky Mountains of Colorado, we sought to disentangle the effects of predation and intraguild interactions on the survival and development of a semi-permanent pond resident caddisfly Limnephilus externus and the habitat-shifting caddis Asynarchus nigriculus that is being forced into semi-permanent ponds as temporary ponds dry too quickly to complete development. We conducted a manipulative in-situ pond cage experiment in which L. externus and A. nigriculus caddisfly larvae in single-species treatments and together were exposed to the presence/absence of predatory Dytiscus diving beetle larvae. This approach allowed us to isolate the effects of intraguild interactions and predation on the survival and development of both the resident and habitat-shifting species. We found that intraguild interactions had strong negative effects on the resident and habitat-shifting species. Intraguild interactions reduced the survival of the resident L. externus and increased the variation in survival of the shifting A. nigriculus. However, Dytiscus predators reduced these negative effects, stabilizing the community by increasing L. externus survival and reducing variation in A. nigriculus survival. We also found that intraguild interactions reduced L. externus biomass but resulted in increased A. nigriculus development. A. nigriculus development was also increased by predation. Our results show that strong intraguild interactions between resident and shifting species are likely to have negative consequences for both species. However, the presence of predators reduces these negative consequences of the habitat shift on both the resident and the shifting.

Willingness to share data: Contextual determinants of consumers' decisions to share private data with companies

AbstractIn the age of digitalization, customer and consumer data have become a valuable source of information for companies. However, to obtain these data, companies depend on peoples' willingness to share (WTS) their private data with them. By means of a large‐scale online experiment with more than 20,000 participants, we investigated the extent to which peoples' WTS private data is affected by contextual factors. We complement and extend previous research by (i) simultaneously addressing several contextual factors that companies can largely control themselves, (ii) comparing their relative impacts on WTS, and (iii) explicitly examining interactions between these contextual factors in addition to their specific univariate effects. Concretely, we investigate contextual factors, such as the type of data requested, the purpose for which the data are used, the industry sector a corresponding company belongs to, the type of compensation offered for the shared data, and the degree to which the data allows for personal identification. Our data suggest that all these factors do affect peoples' WTS significantly, while there are also multiple significant interaction effects between these contextual factors. For instance, we found that a better intuitive match between the core business a company is engaged in and the type of data that is requested, results in higher proportions of people who are willing to share the corresponding data with the corresponding company. Hence, companies may benefit from tuning their requests for consumer or customer data according to the specific context in which they operate.

Nitrate as a predictor of cyanobacteria biomass in eutrophic lakes in a climate change context

We aimed to predict cyanobacteria biomass and nitrate (NO3−) concentrations in Lake Võrtsjärv, a large, shallow, and eutrophic lake in Estonia. We used a model chain based on the succession of a mechanistic (INCA-N) model and an empirical, generalized linear model. INCA-N model calibration and validation was performed with long term climate and catchment parameters. We constructed twelve scenarios as combinations of climate forcing from the Intergovernmental Panel on Climate Change (IPCC, 3 scenarios), land conversion (forest to agriculture, 2 scenarios), and fertilizer use (2 scenarios). Models predicted 46% of the variance of cyanobacteria biomass and 65% of that of NO3− concentrations. The model chain simulated that scenarios comprising both forest conversion to agricultural lands and a greater use of fertilizer per surface area unit would cause increases in lacustrine NO3− (up to twice the historical mean) and cyanobacteria biomass (up to a four-fold increase compared to the historical mean). The changes in NO3− concentrations and cyanobacteria biomass were more pronounced in low and moderate warming scenarios than in high warming scenarios because of increased denitrification rates in a warmer climate. Our findings show the importance of reducing anthropogenic pressures on lake catchments in order to reduce harmful pollutant and microalgae proliferation, and highlight the counterintuitive effects of multiple stressor interactions on lake functioning.

Interaction effects between characteristics of obstructive sleep apnea and obesity on dyslipidemia

ObjectivesObstructive sleep apnea (OSA) and obesity often coexist, and both can increase the risk of dyslipidemia. However, the interaction effects between the characteristics of OSA and obesity on dyslipidemia are not yet known. This study was performed to investigate this issue. MethodsBasic characteristics, polysomnography data, and biochemical markers of patients with suspected OSA seen at the First Affiliated Hospital of Nanchang University were collected. Serum lipid levels were compared after adjusting for multiple confounders. We used binary logistic regression models to assess the interaction effects of the oxygen desaturation index (ODI) and obesity, and the apnea–hypopnea index (AHI) and obesity, on dyslipidemia. ResultsA total of 343 patients were included in the study. After adjusting for multiple confounders, there were no differences in serum lipid levels between non-obese or obese patients with an AHI ≤ 30 and AHI > 30, and no interaction effect between the AHI and obesity on dyslipidemia. Obese patients, but not non-obese ones, with an ODI > 37.5 had significantly higher total cholesterol (TC) levels, and higher TC/high-density lipoprotein cholesterol (HDL-C) ratios, than patients with an ODI ≤ 37.5. In addition, a significant positive multiplicative interaction effect between obesity and the ODI was found on hyper-TC (odds ratio [OR] = 3.459; 95% confidence interval [CI] = 1.104, 10.838; p = 0.03). ConclusionA positive interaction effect was detected between obesity and intermittent hypoxia on dyslipidemia. Therefore, further attention should be paid to dyslipidemia in obese patients with intermittent hypoxia.

Transitional regime of electron resonant interaction with whistler-mode waves in inhomogeneous space plasma.

Resonances with electromagnetic whistler-mode waves are the primary driver for the formation and dynamics of energetic electron fluxes in various space plasma systems, including shock waves and planetary radiation belts. The basic and most elaborated theoretical framework for the description of the integral effect of multiple resonant interactions is the quasilinear theory, which operates through electron diffusion in velocity space. The quasilinear diffusion rate scales linearly with the wave intensity, D_{QL}∼B_{w}^{2}, which should be small enough to satisfy the applicability criteria of this theory. Spacecraft measurements, however, often detect whistle-mode waves sufficiently intense to resonate with electrons nonlinearly. Such nonlinear resonant interactions imply effects of phase trapping and phase bunching, which may quickly change the electron fluxes in a nondiffusive manner. Both regimes of electron resonant interactions (diffusive and nonlinear) are well studied, but there is no theory quantifying the transition between these two regimes. In this paper we describe the integral effect of nonlinear electron interactions with whistler-mode waves in terms of the timescale of electron distribution relaxation, ∼1/D_{NL}. We determine the scaling of D_{NL} with wave intensity B_{w}^{2} and other main wave characteristics, such as wave-packet size. The comparison of D_{QL} and D_{NL} provides the range of wave intensity and wave-packet sizes where the electron distribution evolves at the same rates for the diffusive and nonlinear resonant regimes. The obtained results are discussed in the context of energetic electron dynamics in the Earth's radiation belt.

Dissection of genotype × tissue interactions for immunological factors in turbot (Scophthalmus maximus) infected with Vibrio anguillarum

Seven immune factors, lysozyme, hepcidin, heat-shock protein (HSP) 70, HSP90, immunoglobulin M, C-type lectin, and Lily-type lectin, were measured by PCR in the livers, spleens, and head kidneys of turbot infected with Vibrio anguillarum. Additive main effects and multiplicative interaction (AMMI) and genotype main effects and genotype × environment interaction (GGE) biplot analysis were used to analyze genotype × tissue interactions for immunological factors. The AMMI analysis revealed that immune factor expression was significantly affected by genotype, tissue, and genotype × tissue interactions. Genotype (65.85%) was the major contributor to the total variation in immune factor expression in comparison to tissue effects (7.54%) and genotype × tissue interactions (12.52%). GGE biplot analysis revealed differences in the ranking of the seven immune factors in the three tissues; head kidney possessed the strongest ability to distinguish the seven immune factors. The test tissue locations were divided into liver-spleen and head kidneys regions; HSP70 was expressed the highest in the liver-spleen regions, and lysozyme had the highest expression in the head kidney region. Overall, HSP70 and HSP90 had the best expression and stability in the three tissues.