Significant Effect Of Genotype Research Articles

Herbage yield stability of cocksfoot (Dactylis glomerata L.) genotypes across rain-fed environments

Cocksfoot (Dactylis glomerata L.) is a cool-season perennial grass that naturally grows in semi-steppe rangelands in Iran. In recent years, as a result of climate change, coupled with high livestock grazing, rangeland productivity has decreased. This study aimed to analyse the stability of forage dry matter (DM) production of 36 cocksfoot genotypes across four rain-fed environments (Ardebil, Zanjan, Hamadan, and Kermanshah) in Iran. At each location, an experiment was conducted using a randomised complete-block design (RCBD) with three replications over 2 years. The result of combined analysis of variance (ANOVA) across locations showed significant effects of environment (E), genotype (G), and GE interaction (P < 0.01) for DM yield. The E, G and GE interaction effects accounted for 33.19%, 17.98% and 40.52% of the total variance respectively. The GE interaction was subsequently investigated using regression stability, Additive Main effects and Multiplicative Interaction (AMMI), and genotype main effect (G) plus genotype–environment (GE) interaction (GGE) biplot analysis. According to the regression method, genotypes G2, G3, G11 and G12 with a slope close to unity, coupled with high production, had good general stability in all locations. In addition, some genotypes were specifically identified for poor- and high-performing environments. According to the AMMI-2, IPC1 vs IPC2 biplot, genotypes G2, G10, G11, G14 and G15, placed close to the origin of the biplot coupled with higher production, showed general stability in all environments. The best genotypes for the respective environments were also determined. Using the GGE biplot, genotypes G2, G3, G11 and G12 were more stable in all environments. Therefore, on the basis of all analytical methods, three local genotypes, G2 (Karaj), G3 (Marand) and G11 (Qazvin), and a foreign genotype, G14 (from, USA), were identified as most suitable genotypes for breeding improved varieties and cultivation in the study locations and similar areas.

Ganho genético para caracteres tecnológicos de novas cultivares desenvolvidas pela rede sul brasileira de feijão

ABSTRACT Estimating the genetic gain obtained for technological quality traits over the years makes it possible to analyze whether the changes made meet consumer preferences, which represents an important innovation for common-bean breeding programs. The objectives of this study were to obtain genetic gain estimates for technological grain quality traits of common bean lines and investigate whether the modifications made were favorable in the context of sustainability and food and nutritional security for the coming generations. Twenty-four experiments were conducted between the years 2010 and 2022 and a total of 75 common bean lines were evaluated. Genetic gains of technological grain quality traits were determined by the Vencovsky’s (1988) method adapted for biennia. There was a significant effect of genotype for most traits evaluated, which shows the existence of genetic variability. Mass of 100 grains and water absorption had a negative genetic gain of -2.91% and -0.55% per year, respectively, indicating a reduction in these traits. Genetic gain was zero for L* value (lightness) and cooking time, denoting a plateau for these traits. Most of the common bean lines exhibit adequate L* values for carioca (L* ≥ 53) and black (L* ≤ 22) bean grains; a mass of 100 grains from 20 to 25 g; and fast cooking (≤ 25 min). The new common bean cultivars released for cultivation in the southern region of Brazil have high technological grain quality, being favorable in a context of sustainability and food and nutritional security for the coming generations.

Multi-trait selection of wheat lines under drought-stress condition

The immediate need for the increase in wheat production to meet the future world demand, associated with the occurrence of drastic climatic events, such as drought, makes it necessary to develop drought-resilient genotypes. The aims of this work were to evaluate the use of drought-tolerance indices for the selection of wheat genotypes, to compare the genetic gains in grain yield using different selection strategies by means of a multi-trait index, and to select superior drought-tolerant wheat genotypes. The total of 31 tropical wheat lines was evaluated in two experiments. Five agronomic traits were accessed. The grain yield data from the stress and nonstress experiments were used to obtain five drought-tolerance indices. The data were subjected to mixed model analysis, and four selection scenarios were designed. There was a significant effect of genotype for all traits. The inclusion of drought-tolerance indices in the selection index provided superior genetic gains in drought condition. Seven lines were selected due the high frequency of favorable alleles for drought-tolerance and other important agronomic traits. Drought-tolerance indices are appropriate for characterizing the response of wheat genotypes to drought-stress. The inclusion of drought-tolerance indices along with agronomic traits in multi-trait selection strategies provides for superior gains in grain yield compared to the non-inclusion of the indices.

Use of Unmanned Aerial System (UAS) Phenotyping to Predict Pod and Seed Yield in Organic Peanuts

Peanut (Arachis hypogaea L.) is a highly nutritious food that is an excellent source of protein and is associated with increased coronary health, lower risk of type-2 diabetes, lower risk of breast cancer and a healthy profile of inflammatory biomarkers. The domestic demand for organic peanuts has significantly increased, requiring new breeding efforts to develop peanut varieties adapted to the organic farming system. The use of unmanned aerial system (UAS) has gained scientific attention because of the ability to generate high-throughput phenotypic data. However, it has not been fully investigated for phenotyping agronomic traits of organic peanuts. Peanuts are beneficial for cardio system protection and are widely used. Within the U.S., peanuts are grown in 11 states on roughly 600,000 hectares and averaging 4500 kg/ha. This study’s objective was to test the accuracy of UAS data in the phenotyping pod and seed yield of organic peanuts. UAS data was collected from a field plot with 20 Spanish peanut breeding lines on July 07, 2021 and September 27, 2021. The study was a randomized complete block design (RCBD) with 3 blocks. Twenty-five vegetation indices (VIs) were calculated. The analysis of variance showed significant genotypic effects on all 25 vegetation indices for both flights (p r = 0.44) and seed yield (r = 0.64). These results can be used to further advance organic peanut breeding efforts with high-throughput data collection.

علاقة تعدد المظاهر الوراثية لجينLHX3 بمعدل الخصب في الماعز المحلي والشامي

The study was conducted at the ruminant research station of the general commission for agricultural research/Ministry of Agriculture, as well as the laboratory of genetic resources of the department of livestock/Ministry of Agriculture and the laboratory of the college of agriculture engineering science, with the aim of determine the genotypic of the expression region (intron 2 and part of exon 3) of the LHX3 gene And its relationship to the fertility rate in local and Shami goats. For this purpose, the RFLP technique was used, and the percentages of genotypes for the LHX3 gene in the local goat sample were 29.17, 50.00, 20.83 for the TT, AT, and AA genotypes, respectively, while in the Shami goats, the genotypes of the LHX3 gene in the goat sample were 29.17, 50.00, and 20.83 Shami 44.00, 56.00 and 0.00 for the TT, AT, and AA genotypes, respectively, and it was found that there was a significant effect of the multiple genotypes of the LHX3 gene on the fertility rate in local and Shami goats. It was found that the important reproductive trait in goats is the fertility trait, which is affected by several aspects, including environmental And administrative as well as genetic influences, as I found a lot of genetic mutations, As the percentage of twins reaches 42% in goats, according to the breed, through genetic selection assisted by markers (MAS). The values of the genetic equivalent for fecundity of goats are approximately 0.02 - 0.15.

Identification of wheat genotypes with higher levels of antioxidant properties across environments in India

Wheat is an important source of energy and nutrition including antioxidants having health benefits to humans. In this investigation, 19 and 12 prominent wheat genotypes grown (during cropping season 2019-20) at three locations in two production environments representing North-Western Plains Zone (NWPZ) and Central Zone (CZ), respectively, were used for evaluating their antioxidant potential. There was a significant positive correlation between total soluble phenol and ABTS activity (p<0.01) while non-significant with DPPH scavenging activity in NWPZ genotype. However, there was a significant positive correlation of total soluble phenol with DPPH (p<0.01) and ABTS (p<0.05) radical scavenging activities in CZ genotypes. The genotypes HI 1628 and PBW 771 of NWPZ and HI 1634, CG 1029 and GW 322 of CZ exhibited higher mean phenolic content and antioxidant potential and were found comparatively stable across their environments with respect to the parameters tested. Overall, the Karnal location (NWPZ) was shown to have higher phenolic content and ABTS activity compared to genotypes grown at different locations of both the zones. The additive main effects and multiplicative interaction-based ANOVA indicated highly significant effect of environment, genotype and genotype(x) environment interactions on soluble phenolics and antioxidants among genotypes in both the zones. The identified genotypes can be used for cultivation and improving nutritional value.

Comparison of Ammi, Parametric and Non-Parametric Models in Identifying High-Yielding and Stable Oilseed Rape Genotypes

One of the complex issue in the way of releasing new high-yielding and stable oilseed rape ‎cultivars is genotype by environment interaction (GEI) which reduce selection efficiency. In ‎the current study, parametric and non-parametric statistics as well as the AMMI model have ‎been compared to identify the best stability models to clarify GEI complexity. The ‎experiment has been conducted in the warm regions of Iran including; Gorgan, Sari, Zabol, ‎and Hajiabad during two cropping seasons (2016-2017 and 2017-2018) for 16 genotypes in a ‎randomized complete block design with three replications. The AMMI analysis of variance on ‎grain yield showed the significant effects of genotype, environment, and the interaction ‎effects of GEI on yield. Based on the AMMI ANOVA, the major contribution of GEI was ‎captured by the first and second interaction principal component axes (IPCA1 and IPCA2) ‎which explained 34.29% and 29.81% of GEI sum of the square, respectively. Additionally, ‎Different parametric and non-parametric stability methods including; bi, S2di, CVi, W2i, σ2i, Pi, ‎Si(1), Si(2), Si(3), Si(6), Npi(1), Npi(2), Npi(3), Npi(4), KR and TOP have also investigated. Based on ‎AMMI, parametric, and non-parametric stability statistics, genotypes G2 (SRL-95-7) and G9 ‎‎(SRL-95-16)‎‏ ‏were selected as the stable and high-yielding genotypes. Likewise, Principal ‎component analysis based on rank correlation matrix enabled us to distinguish high-yielding ‎genotypes to stable (high-yielding genotypes in various environments) and unstable (high-‎yielding genotypes in low-yielding environments) ones. Furthermore, a significant Spearman ‎correlation was observed between yield mean and GSI, Pi, Si(3), Si(6), Npi(3), Npi(4), and KR. ‎Therefore, different efficient strategies were identified in this study‏ ‏and since we looked up ‎high-yielding and stable genotypes, G2 (SRL-95-7) and G9 (SRL-95-16)‎‏ ‏were finally ‎selected.‎

Identification of quantitative trait loci (QTL) and meta-QTL analysis for kernel size-related traits in wheat (Triticum aestivum L.)

BackgroundKernel size-related traits, including kernel length (KL), kernel width (KW), kernel diameter ratio (KDR) and kernel thickness (KT), are critical determinants for wheat kernel weight and yield and highly governed by a type of quantitative genetic basis. Genome-wide identification of major and stable quantitative trait loci (QTLs) and functional genes are urgently required for genetic improvement in wheat kernel yield. A hexaploid wheat population consisting of 120 recombinant inbred lines was developed to identify QTLs for kernel size-related traits under different water environments. The meta-analysis and transcriptome evaluation were further integrated to identify major genomic regions and putative candidate genes.ResultsThe analysis of variance (ANOVA) revealed more significant genotypic effects for kernel size-related traits, indicating the moderate to high heritability of 0.61–0.89. Thirty-two QTLs for kernel size-related traits were identified, explaining 3.06%—14.2% of the phenotypic variation. Eleven stable QTLs were detected in more than three water environments. The 1103 original QTLs from the 34 previous studies and the present study were employed for the MQTL analysis and refined into 58 MQTLs. The average confidence interval of the MQTLs was 3.26-fold less than that of the original QTLs. The 1864 putative candidate genes were mined within the regions of 12 core MQTLs, where 70 candidate genes were highly expressed in spikes and kernels by comprehensive analysis of wheat transcriptome data. They were involved in various metabolic pathways, such as carbon fixation in photosynthetic organisms, carbon metabolism, mRNA surveillance pathway, RNA transport and biosynthesis of secondary metabolites.ConclusionsMajor genomic regions and putative candidate genes for kernel size-related traits in wheat have been revealed by an integrative strategy with QTL linkage mapping, meta-analysis and transcriptomic assessment. The findings provide a novel insight into understanding the genetic determinants of kernel size-related traits and will be useful for the marker-assisted selection of high yield in wheat breeding.

Measurement of Protein Synthesis Rate in Rat by [11C]Leucine PET Imaging: Application to the TgF344-AD Model of Alzheimer’s Disease

Long-term memory requires stable protein synthesis and is altered in Alzheimer’s disease (AD). This study aimed to implement a method to measure the cerebral protein synthesis rate (PSR) with [11C]leucine PET in vivo in rats and evaluate potential PSR alterations longitudinally (6, 12 and 18 months old) in the TgF344-AD rat model of AD. Wistar, wild-type (WT) and TgF344-AD rats (TG) were scanned for 60 min with [11C]leucine. Arterial blood activity was monitored online and with discrete whole blood and plasma samples by γ-counting in Wistar rats, WT (n = 4) and TG (n = 5). Unlabelled amino acids were measured in plasma. The sensitivity of [11C]leucine PET to measure alterations in PSR was assessed in Wistar rats by injection of PSR inhibitor anisomycin before PET acquisition. Anisomycin administration significantly reduced the net uptake rate constant (Kcplx) of [11C]leucine and PSR, proving the suitability of the method. For the longitudinal study, averaged population-based input functions were used to calculate PSR. We found a significant genotype effect on PSR (decrease in TG vs WT) only in the globus pallidus. This study suggests that [11C]leucine PET is sensitive enough to measure brain PSR in rat but that cross-sectional design with individual input function should be preferred.

Multilocation Evaluation of Virginia and Runner -Type Peanut Cultivars for Yield and Grade in Virginia–Carolina Region

The peanut is mostly grown in semi-arid tropical regions of the world, characterized by unpredictable rainfall amounts and distribution. Average annual precipitation in the Virginia–Carolina (VC) region is around 1300 mm; however, unpredictable distribution can result in significant periods of water deficit and subsequent reduction in yield and gross income. The development of new peanut cultivars with high yield and acceptable levels of yield stability across various water-availability scenarios is an important component of the peanut breeding program in Virginia and the Carolinas, where the large-seeded Virginia-type peanut is the predominantly grown market type. In addition, the simultaneous use of runner cultivars developed in the dryer southeastern region has been proposed as a practical solution to limited irrigation availability in the VC region. Still, the identification and adequate utilization of available commercial cultivars with the best combination of yield, drought tolerance, and gross income is more immediately beneficial to the peanut industry, yet this assessment has not been carried out to date. The aim of this study was to identify cultivars that maintain high yield and grade, therefore gross income, across a wide range of environmental conditions. We evaluated five commercially available Virginia and runner-type peanut cultivars for pod yield stability using multilocation trials over four years across 13 environments. Additive main effects and multiplicative interaction (AMMI) and different stability approaches were used to study genotype (G), environment (E), and their interaction (G × E) on pod yield. Pod yield stability was specifically assessed by using the Lin and Binn approach, Wricke’s ecovalence, Shukla’s stability, and the Finlay–Wilkinson approach. The combined analysis of variance showed highly significant effects (p ≤ 0.001) for genotypes, environments, and G × E for pod yield. The environments varied in yield (2840–8020 kg/ha). Bailey, Sullivan, and Wynne are Virginia-type cultivars. The grade factors SMK, SS, and TK changed with water regime within both market types. Among the runner cultivars, TUFRunner 297 presented high mean productivity; however, it showed specific adaptation to limited environmental conditions. Based on different stability approaches, this study concludes that Sullivan and Bailey are the most stable and adaptable cultivars across the testing environments, whereas Wynne exhibited specific adaptability to some environments. These findings have important implications for peanut cultivar recommendations in terms of meeting peanut industry standards for yield, grading quality, and breeding progress.

Assessment of the relationships between IL-17A polymorphisms and the risk to acute lymphoblastic leukemia in Saudi population

The most studied IL-17 family member is IL-17A. It has been implicated in the pathogenesis of many disorders, including inflammatory, autoimmune and cancer disorders. However, the role of this cytokine in the pathophysiology of acute lymphoblastic leukemia (ALL) remains poorly studied. The purpose of this study was to investigate the role of IL-17A gene single-nucleotide polymorphisms in the occurrence of ALL in Saudi population. The current study included 136 patients with ALL and 114 age and gender-matched healthy controls. The relationship between three functional SNPs of IL-17A gene; rs3748067, rs3819025 and rs8193036 was assessed in both ALL and healthy control following five inheritance models. In addition. the level of IL-17A mRNA was analyzed by quantitative polymerase chain reaction (qRT-PCR). The results revealed a statistically significant protective effect of the rs3748067 CT genotype against ALL in dominant, overdominant and additive models (p < 0.05). No association was observed between the rs3819025, and rs8193036 and the risk to develop ALL (P > 0.05). Haplotype analysis showed association of CTG (OR = 0.52, 95 %CI 0.29–0.94, p = 0.03), and TCG (OR = 0.45, 95 %CI 0.25–0.81, p = 0.009) of rs3748067, rs8193036 and rs3819025 with higher risk of ALL. Our results showed that IL-17A promoter rs3748067 variant may reduces the risk to ALL.

Molecular homing and retention of muscle membrane stabilizing copolymers by non-invasive optical imaging in vivo

First-in-class membrane stabilizer Poloxamer 188 (P188) has been shown to confer membrane protection in an extensive range of clinical conditions; however, elements of the systemic distribution and localization of P188 at the organ, tissue, and muscle fiber levels invivo have not yet been elucidated. Here we used non-invasive fluorescence imaging to directly visualize and track the distribution and localization of P188 invivo. The results demonstrated that the Alx647 probe did not alter the fundamental properties of P188 to protect biological membranes. Distribution kinetics in mdx mice demonstrated that Alx647 did not interface with muscle membranes and had fast clearance kinetics. In contrast, the distribution kinetics for P188-Alx647 was significantly slower, indicating a dramatic depot and retention effect of P188. Results further demonstrated the significant retention of P188-Alx647 in the skeletal muscle of mdx mice, showing a significant genotype effect with a higher fluorescence signal in the mdx muscles over BL10 mice. High-resolution optical imaging provided direct evidence of P188 surrounding the sarcolemma of skeletal and cardiac muscle cells. Taken together, these findings provide direct evidence of muscle-disease-dependent molecular homing and retention of synthetic copolymers in striated muscles thereby facilitating advanced studies of copolymer-membrane association in health and disease.

Assessing the Suitability of Multivariate Analysis for Stress Tolerance Indices, Biomass, and Grain Yield for Detecting Salt Tolerance in Advanced Spring Wheat Lines Irrigated with Saline Water under Field Conditions

Successfully evaluating and improving the salt tolerance of genotypes requires an appropriate analysis tool to allow simultaneous analysis of multiple traits and to facilitate the ranking of genotypes across different growth stages and salinity levels. In this study, we evaluate the salt tolerance of 56 recombinant inbred lines (RILs) in the presence of salt-tolerant and salt-sensitive control genotypes using multivariate analysis of plant dry weight, measured at 75 (PDW-75) and 90 (PDW-90) days from sowing, biological yield (BY), grain yield (GY), and their salt tolerance indices (STIs). All RILs and genotypes were evaluated under the control and 15 dS m−1 for two consecutive years (2019/2020 and 2020/2021). Results showed significant main effects of salinity and genotype as well as their interactions on four plant traits. Significant genotypic differences were also found for all calculated STIs. STIs exhibited moderate to strong relationships with the four plant traits when measured under either the control or salinity conditions and between each other. The principal component analysis (PCA) showed that the most variation among all analyzed variables was explained by the first two PCs, with the PC1 and PC2 explained at 61.8–71.8% and at 28.0–38.2% of the total variation, respectively. The PC1 had positive and strong correlations with the four plant traits measured under salinity conditions and STI, YI, REI, SWPI, MRPI, MPI, GMPI, and HMPI. The PC2 had strong correlations with BY and GY measured under the control conditions and SSI, TOL, RSE, and YSI. The PC1 was able to identify the salt-tolerant genotypes, while the PC2 was able to isolate the salt-sensitive ones. Cluster analysis based on multiple traits organized 64 genotypes into four groups varied from salt-tolerant to salt-sensitive genotypes, with the salt-tolerant group attaining higher value for plant traits under salinity conditions and the STIs related to the PC1. In conclusion, the use of multivariate analysis together with the STIs that evaluated the performance of genotypes under contrasting environmental conditions will help breeders to distinguish salt-tolerant genotypes from salt-sensitive ones, even at the early growth stages of plant development.

Identifying heritable brain networks that may confer cognitive reserve to Alzheimer's disease

AbstractBackgroundAlzheimer’s disease (AD) is a neurodegenerative disease that affects 50 million people worldwide (Breijyeh &amp; Karaman, 2020). Among individuals with AD, cognitive dysfunction varies, giving rise to the hypothesis that neural function and anatomical substrates provide “cognitive reserve” against AD. This idea inspired the brain reserve hypothesis, which states that structural features of the brain may protect against AD‐related cognitive decline (Stern, 2012). One potential source of brain reserve is neural microanatomy, which varies across individuals (Wang et al., 2020) and may then explain the differential cognitive outcomes in AD associated with cognitive reserve.MethodWe utilized a population of genetically distinct AD mice produced by crossing the 5XFAD model of AD to five mouse strains (C57BL/6J, DBA/2J, FVB/NJ, CAST/EiJ, and WSB/EiJ). At 3 months of age, these mice underwent diffusion magnetic resonance imaging (dMRI), a collection of techniques that characterizes brain microstructure (Campbell &amp; Pike, 2019), to probe variation of neural microanatomy in 430 regions of interest (ROIs). At 5 months of age, when cognitive decline is expected (Oakley et al., 2006; Devi &amp; Ohno, 2010), these mice underwent contextual fear conditioning (CFC) and contextual fear memory (CFM) paradigms. Hierarchical clustering was performed on the correlations between dMRI measurements in each brain region influenced by strain and CFC and CFM performance.Result362 ROIs had dMRI metrics with significant effects of sex, strain, and/or 5XFAD genotype. Of these ROIs, 348 had a significant effect of strain, 68 had a significant effect of sex, and 30 or fewer had a significant effect of genotype or any variable interactions. We identified one network of ROIs in which nearly all dMRI parameters correlated positively and strongly to CFC performance and two networks whose dMRI measures correlated strongly to CFM performance, although the directionality of these correlations varied within these two networks.ConclusionOur work identifies three neural networks that are influenced by strain and correlate strongly to CFC and CFM performance. Further analyses should explore genetic factors influencing these networks and the structural and functional connectivity of brain regions in these networks.

Cell‐type Specific Effects of AD Mutations on Hippocampal Intrinsic Firing Properties in Genetically Diverse Mice

AbstractBackgroundCognitive resilience to Alzheimer’s disease (AD) is a phenomenon whereby individuals with known AD mutations or high levels of pathology exhibit better than predicted cognitive performance. Identification of the factors governing resilience may lead to novel therapeutic interventions to treat AD. Analysis of hippocampal transcriptional profiles from susceptible and resilient AD‐BXD strains indicates that transcriptomic changes in excitatory neurons in CA1 and dentate gyrus (DG) are associated with resilience and we now seek to examine physiological changes.MethodWe adapted the Patch‐Seq method (Cadwell et al., 2017) to investigate cell type‐specific transcriptional and electrophysiological changes associated with AD using the AD‐BXD genetic reference panel (Neuner et al., 2019). Whole‐cell patch clamp was used to evaluate intrinsic excitability of neurons within the DG and CA1 of 14m old mice with cognitive deficits compared to age matched controls; their cellular contents, including the nucleus, were collected after each recording to characterize the transcriptome.ResultComparison of the intrinsic properties of DG and CA1 neurons of hippocampal slices from 5XFAD mice and their non‐transgenic (Ntg) counterparts revealed that DG granule cells from 5XFAD mice have a lower input resistance and an increased sag ratio in response to hyperpolarizing current injections. Pyramidal neurons from the CA1 of 5xFAD mice exhibit significantly more depolarized action potential thresholds, a significant increase in the medium afterhyperpolarization (mAHP) and sag ratio compared to Ntg controls. While these intrinsic properties are proxy measures for neuronal excitability, we did not observe a significant effect of genotype on firing rate in response to 1s and 15s depolarizing current steps.ConclusionOur findings newly demonstrate disease related changes to intrinsic firing properties of DG granule cells at 14mo indicating that these neurons may be hypoexcitable. Also found, CA1 neurons from AD mice exhibit an increased mAHP and changes to sag ratio and AP threshold, indicating they too become less excitable. Future work will add additional AD‐BXD strains characterized as resilient or susceptible to the AD transgene to discover changes in intrinsic properties that could underlie resilience. We will also use an integrated analysis of transcriptomic and electrophysiological data to identify relevant functional targets for validation.

Identification of stable lentil genotypes through genotype by environment interactions on yield potential in Morocco

Genotype by environment (G×E) interaction study becomes essential for selecting high and stable yielding genotypes. Altogether 64 lentil genotypes representing improved varieties, landraces and advanced lines were evaluated under 6 environments for green cover, phenological characters, grain yield and 1000 seed weight. Variance analysis revealed highly significant effects of genotype, environment and genotype by environment interaction for all studied traits. The environment had the greatest effect with 75.7% of the total sum of squares. AMMI-GGE biplot identified 3 mega-environments where Z32 advanced lines were performed in the first one (E1, E4 and E5); Z33 was the best in the second mega-environment (E2 and E3), of which E2 (SAD18) was characterized as discriminating and representative environment for selecting adaptable genotypes. While VR4 and LR4 were the winning genotypes in the third mega-environment represented by E6. According to 7 stability methods, Z33, Z32, Z31, Z13 and G03 lines were the most stable and resilient in all environments. In addition, five landraces (PA6, LR4, LR10, LR6 and PA1) showed a high yielding potential that could be used as a source of genotype candidates to develop novel resilient varieties of lentils. Varieties VR9 was recommended for both favorable and unfavorable environments, VR6 for unfavorable and VR3 for favorable environment. Otherwise, genotypes were grouped into 3 clusters with 90% of similarity. The third one gathered the highest yielding genotypes (Z33 and Z32), which were the most stable that could be promoted for developing resilient varieties for climatic changing environments.

Haemoparasite Prevalence, Genetic Diversity of TLR2B Gene and Relationship with Haematological Parameters in Chicken

Haemoparasite constitute a major challenge in native chicken production in Africa. This study determines the genetic diversity and the effect of TLR2B gene polymorphism on haemoparasite and haematology of the chickens based on genotype and sex. 600 chickens of 25 weeks old consisting of Naked neck (NN), Normal feather (NF), and the Frizzle feather (FF) reared in battery cage-system were sampled for blood and analyzed for haematology, parasite occurrence and load, polymerase chain reaction, and gene sequencing. Polymorphisms were detected and their effect on haematology was determined. Results showed the occurrence of Plasmodium gallinacieum, Trypanosoma brucei, and Leucocytozoon schoutedeni with NF having the highest occurrence followed by NN and FF chicken genotype. There was a significant (P &lt;0.05) effect of genotype and sex on haematology. Seven of the eight polymorphism detected were singleton and found only in NF while parsimonious 656GA was detected in all the chicken genotypes with no relationship with haematology and haemoparasite. NF had the highest nucleotide (0.00114) and haplotype diversity (0.584). The study revealed the occurrence of genetic variation in TLR2B gene, haematology, and haemoparasite in FUNAAB Alpha chickens which could provide baseline information in future breeding programmes of the chicken for the tropical environment.

Per1 gene polymorphisms influence the relationship between brain white matter microstructure and depression risk.

Circadian rhythm was involved in the pathogenesis of depression. The detection of circadian genes and white matter (WM) integrity achieved increasing focus for early prediction and diagnosis of major depressive disorder (MDD). This study aimed to explore the effects of PER1 gene polymorphisms (rs7221412), one of the key circadian genes, on the association between depressive level and WM microstructural integrity. Diffusion tensor imaging scanning and depression assessment (Beck Depression Inventory, BDI) were performed in 77 healthy college students. Participants also underwent PER1 polymorphism detection and were divided into the AG group and AA group. The effects of PER1 genotypes on the association between the WM characteristics and BDI were analyzed using tract-based spatial statistics method. Compared with homozygous form of PER1 gene (AA), more individuals with risk allele G of PER1 gene (AG) were in depression state with BDI cutoff of 14 (χ2 = 7.37, uncorrected p = 0.007). At the level of brain imaging, the WM integrity in corpus callosum, internal capsule, corona radiata and fornix was poorer in AG group compared with AA group. Furthermore, significant interaction effects of genotype × BDI on WM characteristics were observed in several emotion-related WM tracts. To be specific, the significant relationships between BDI and WM characteristics in corpus callosum, internal capsule, corona radiata, fornix, external capsule and sagittal stratum were only found in AG group, but not in AA group. Our findings suggested that the PER1 genotypes and emotion-related WM microstructure may provide more effective measures of depression risk at an early phase.

Physiological and Molecular Responses of Barley Genotypes to Salinity Stress

Among cereals, barley is tolerant to high levels of salinity stress; however, its performance and global production are still dramatically affected by salinity. In this study, we evaluated the behavior of a set of advanced genotypes of barley with aim of assessing the physiological and molecular mechanisms involved in salinity tolerance. The experiment was conducted using a hydroponic system at optimal growing temperature and photoperiod conditions. The results of the analysis of variance (ANOVA) showed significant effects for salinity treatments and genotypes in terms of all measured traits. Salinity stress significantly increased the root and shoot Na+ contents and root-to-shoot Na+ and K+ translocations. In contrast, other physiological features, gas exchange-related traits, as well as root and shoot biomasses were significantly decreased due to salinity stress. Based on the results of the multi-trait genotype ideotype distance index (MGIDI) as a multiple-traits method, G12 and G14 were identified as the superior salt-tolerant advanced genotypes. In the molecular analysis, salinity stress significantly increased the mean relative expression of HvSOS1, HvSOS3, HvHKT2, HvHKT3, HvNHX1, and HvNHX3 genes by 12.87-, 3.16-, 3.65-, 2.54-, 2.19-, and 3.18-fold more than the control conditions, respectively. The results of heatmap-based correlation and principal component analysis (PCA) revealed a clear association pattern among measured traits and expression data. Indeed, these associations confirmed relationships between tolerance pathways and physiological functions. In conclusion, the genotype G14 (D10*2/4/Productive/3/Roho//Alger/Ceres362-1-1) responded well to salinity stress and showed a better expression pattern of studied genes than other genotypes. Hence, this promising genotype can be a candidate for further assessments before commercial introduction.

Different genotype and a liquid whey-supplemented diet influence the resilience of pigs through immune-modulation and anti-inflammatory response

This study evaluated (i) whether weight gain and levels of inflammatory and immune markers including white blood cells (WBC), serum haptoglobin, C-reactive protein, albumin, and globulin fractions change between the Nero Siciliano pig breed and the crossbreed Landrace x Large White (LxLW) reared under the same environmental and farming conditions; and (ii) whether a liquid whey diet supplementation affects the investigated parameters in both genotypes. In this study, 10 crossbreed LxLW and 10 Nero Siciliano pigs were given control feed, representing the control groups (CTRC and CTRNS), whereas 10 crossbreed LxLW and 10 Nero Siciliano pigs were given control feed supplemented with liquid whey for 2 months, representing the experimental groups (WC and WNS). From each pig, body weight and blood were collected before experimental diet supplementation (T0), and one (T1) and two (T2) months after the start of the diet supplemented with whey. The white blood cell count (WBC), serum haptoglobin, C-reactive protein, total proteins, albumin and globulin fraction concentration were assessed. Two-way analysis of variance showed an increasing trend of body weight both in the control and experimental groups of the two pig genotypes throughout the monitoring period (p < 0.01) without a significant effect of genotype and diet (p > 0.05). The concentration of haptoglobin, β1- and β2-globulins was affected by pig genotype, diet supplementation, and time (p < 0.01). The values of WBC, C-reactive protein, albumin, α-globulins, and A/G ratio were affected by diet supplementation (p < 0.01) and time (p < 0.01) without an influence of genotype (p > 0.05). Nero Siciliano pigs showed lower levels of haptoglobin, β1-globulin, and β2-globulin compared to crossbreed LxLW. Nero Siciliano pigs and crossbred LxLW fed with liquid whey showed lower levels of WBC, haptoglobin, C-reactive protein, α-, β1-, and β2-globulins and higher values of albumin compared to control groups. The results reinforced the hypothesis that autochthonous breeds possess higher resilience to farming conditions when compared to allochthonous breeds. Moreover, an immune-modulatory and an anti-inflammatory power of liquid whey dietary supplementation is suggested probably thanks to its content in natural bioactive substances including anti-inflammatory cytokines and anti-oxidative factors.