Northeast Agricultural University Research Articles

Genetic parameter estimation and genetic evaluation of important economic traits in white and yellow broilers

ABSTRACT 1. This study calculated descriptive statistics for the production traits of two broiler populations: 1) the Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF white broilers), including fat and lean lines; and 2) the Guangxi yellow broilers. Their genetic parameters were estimated, including (co)variance components, heritability (h 2 ) and genetic correlations (rg), using the REML method. 2. Heritability estimates (h 2 ) for NEAUHLF white broilers ranged from 0.07 to 0.61. Traits with high heritability (h 2 >0.3) included body weight at 3, 5 and 7 weeks of age (BW3, BW5, BW7), carcass weight (CW), metatarsal circumference (MeC), liver weight (LW), gizzard weight (GW), spleen weight (SW) and testis weight (TeW), while in Guangxi yellow broilers, heritability estimates ranged from 0.18 to 0.76, with every trait exhibiting high heritability, except for SW (0.18). 3. Positive genetic correlations for NEAUHLF were found (rg >0.3, ranging from 0.31 to 0.84) between BW7 and metatarsal length (MeL), MeC, body oblique length (BoL), chest angle (ChA), LW, GW, heart weight (HW) and SW. Genetic correlations between abdominal fat weight (AFW) and BW1, BW3, BW5, CW, MeL, keel length (KeL), BoL and LW were positive (rg >0.3, ranging from 0.31 to 0.58). 4. Among the Guangxi population, BW (125 d of age) showed strong positive genetic correlations with all other traits (rg >0.3, ranging from 0.30 to 0.99), while AFW displayed strong positive genetic correlations with leg muscle weight (LeW), CW, BW and thigh diameter (TD) (rg >0.3, ranging from 0.44 to 0.51). 5. It was concluded that the characteristics of the two populations were different, which means there is a need to use different strategies when performing the breeding work to improve productivity and efficiency in both broiler populations.

Isoptericola luteus sp. nov., a novel yellow bacterium isolated from soil.

An aerobic, non-motile, Gram-stain-positive bacterium, designated strain NEAU-Y5T, was isolated from a soil sample collected from Northeast Agricultural University, Heilongjiang province. Phylogenetic analysis based on 16S rRNA gene sequences indicated that strain NEAU-Y5T belonged to the genus and showed high 16S rRNA sequence similarity to Isoptericola variabilis (98.9 %), Isoptericola nanjingensis (98.9 %), Isoptericola cucumis (98.5 %), Isoptericola hypogeus (98.5 %), Isoptericola dokdonensis (98.5 %), Isoptericola jiangsuensis (98.3 %), and Isoptericola halalbus (98.1 %), followed by other members of the genus Isoptericola (<98 %), and phylogenetically clustered with I. dokdonensis and I. jiangsuensis. Strain NEAU-Y5T was found to grow at 4-40 °C (optimum, 28 °C), pH 6.0-12.0 (optimum, pH 7.0), and tolerated 0-6 % NaCl (w/v). The cell-wall peptidoglycan type was l-Lys-d-Asp. The whole-cell hydrolysates contained glucose, galactose, and ribose. The major polar lipids were diphosphatidylglycerol, phosphatidylethanolamine, hydroxyphosphatidylethanolamine, phosphatidylinositol, phosphatidylinositol mannoside, and glucosamine unknown phospholipid. Major fatty acids were anteiso-C15 : 0 and anteiso-C17 : 0. The predominant menaquinone was MK-9(H4). The DNA G+C content was 73.4 mol%. The digital DNA-DNA hybridization and average nucleotide identity values between strain NEAU-Y5T and the type strains of the genus Isoptericola ranged from 18.6 to 23.5 % and from 77.3 to 81.6 %, respectively. Based on morphological, physiological, chemotaxonomic, and phylogenetic data, as well as digital DNA-DNA hybridization and average nucleotide identity values, the novel strain NEAU-Y5T could be differentiated from its closest relatives. Therefore, the strain represents a novel species of the genus Isoptericola, for which the name Isoptericola luteus sp. nov. is proposed. The type strain is NEAU-Y5T (=CCTCC AA 2019087T=DSM 110637T).

Coordinated Development of Civic Education and Student Management in Colleges and Universities Based on PLSPM Modeling

Abstract This paper constructs a satisfactory coordination and optimization model of ideological education and student management in colleges and universities, designs the relationship between ideological education and student management in colleges and universities, and establishes the index system as well as the mathematical model of coordinated development. Based on the modeling steps and the quantile effect of the PLSPM model, PLS path modeling is carried out using the Poor man method, and the PLS path model is empirically analyzed using the Patch method. Sample data on Civic Education and Student Management in colleges and universities were collected to conduct model testing and research hypothesis testing and to determine the coordinated development index of the university. The 452 valid data from Northeast Agricultural University are used as an example for the optimization analysis of the degree of satisfaction coordination between civic education and student management in colleges and universities and the values of the degree of satisfaction coordination between civic education and student management in the school are 0.876 and 0.769, which are both more than 70%, and the development is relatively good. The result of the satisfaction coordination index measurement is 0.847, which indicates that the school’s Civic and Political Education and Student Management are both developed in a coordinated manner.

Determination of rice leaf midrib deflection in field environment by using semantic segmentation and shortest distance algorithm

In order to automatically and accurately determine rice leaf age in a complex field environment, a method for determining rice leaf vein deflection is proposed. The method is based on semantic segmentation and a shortest distance algorithm. First, a semantic segmentation model named RLNet is constructed to segment leaf structure curved regions (LSCR). These regions are then clustered and merged using a coordinate-based algorithm, and leaf structure curved lines (LSCL) are fitted by regions. Finally, the shortest distance algorithm is used to determine the deflection of the middle leaf structure curved line, from which the rice leaf age is obtained. Unlike commonly used methods for rice leaf age determination, the proposed method does not require complex manual assistance and harsh experimental conditions, it only requires photography of rice leaves in a field environment. To evaluate the practicality and effectiveness of the method, an experiment was conducted at the Agricultural Extension Center of the Northeast Agricultural University, Harbin, Heilongjiang, China. The method segmented LSCR with an accuracy of 84.71% and determined the rice leaf midrib deflection with an accuracy of 95%. Experimental results showed that the proposed method could determine rice leaf age automatically and accurately in a field environment and thereby reduce dependence on professionals.

Comparative analyses of laying performance and follicular development characteristics between fat and lean broiler lines

The deposition of high levels of fat in broiler breeder hens can have a profound impact on follicular development and laying performance. This study was formulated with the goal of comparing egg production and follicular development characteristics at different laying stages in the Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF). The egg production was analyzed using the birds from the 19th to 24th generations of NEAUHLF; the follicular development characteristics were analyzed by hematoxylin-eosin staining and quantitative real-time polymerase chain reaction using the birds from the 24th generation of NEAUHLF. The results showed that the age at first egg of lean hens was significantly earlier than that of fat hens in this study. While no significant differences in total egg output from the first egg to 50 wk of age were noted when comparing these 2 chicken lines, lean hens laid more eggs from the first egg to 35 wk of age relative to fat hens, whereas fat hens laid more eggs from wk 36 to 42 and 43 to 50 relative to their lean counterparts. No differences in ovarian morphology and small yellow follicle (SYF) histological characteristics were noted when comparing these 2 chicken lines at 27 wk of age. At 35 and 52 wk of age, however, lean hens exhibited significantly lower ovarian weight, ovarian proportion values, numbers of hierarchical follicles, hierarchical follicle weight, and SYF granulosa layer thickness as compared to fat hens, together with a significant increase in the number of prehierarchical follicles relative to those in fat hens. Gene expression analyses suggested that follicle selection was impaired in the fat hens in the early laying stage, whereas both follicle selection and maturation were impaired in the lean hens in the middle and late laying stages. Overall, these data highlight that fat deposition in broiler hens can have a range of effects on follicular development and egg production that are laying stage-dependent.

First report of leaf spot disease caused by Alternaria tenuissima on Lonicera caerulea L. in Heilongjiang Province, China.

Blue honeysuckle (Lonicera caerulea L.) is a perennial plant of the Caprifoliaceae family and Lonicera genus, the largest genus in the plant kingdom. Between September 2021 and September 2022, a leaf spot disease was observed on ~20% of blue honeysuckles of the 'Lanjingling' cultivar grown in a 3.33 ha field at the Xiangyang base (126.96°E, 45.77°N) of the Northeast Agricultural University, Harbin (Heilongjiang Province, China). Leaf spots first presented black mildew centers, gradually covering large areas of the leaf until it eventually fell off. Small 3-4 mm segments of infected tissue from 50 randomly selected leaves were surface sterilized with 75% ethanol and 5% sodium hypochlorite, rinsed in sterile distilled water, and transferred to 9 cm Petri dishes containing potato dextrose agar (PDA) after drying. Finally, two isolated pathogens were obtained through single spore culture on PDA; they appeared as gray-black colonies and were named LD-12 and LD-121. The observed LD-12 and LD-121 conidia displayed a morphology consistent with Alternaria spp. They were obpyriform and dark brown, with 0-6 transverse and 0-3 longitudinal septa, measuring 6.00-17.70 μm × 9.30-42.30 μm and 5.70-20.70 μm × 8.40-47.70 μm for LD-12 and LD-121, respectively (n = 50). Genomic DNA was extracted from the two isolates for molecular verification, and PCR amplification was performed with ITS1/ITS4 (White et al. 1990), GPD1/GPD2 (Woudenberg et al. 2015), EFl-728F/EF1-986R (Carbone and Kohn 1999), RPB2-5F2/RPB2-7CR (Liu et al. 1999), and Alt-for/Alt-rev (Hong et al. 2005) primers. Sequences of LD-12 ITS (OQ607743), GPD (OQ623200), TEF (OQ623201), RPB2 (OQ658509), and ALT (OQ623199) revealed 99-100% of identity with Alternaria tenuissima sequences (KC584567, MK451973, LT707524, MK391051, and ON357632). Sequences of LD-121 ITS (OQ629881), GPD (OQ850078), TEF (OQ850075), RPB2 (OQ850076), and ALT (OQ850077) revealed 99-100% identity with A. alternata sequences (MN826219, ON055384, KY094927, MK637444, and OM849255). Nine two-year-old healthy plants from the 'Lanjingling' cultivar were selected for a pathogenicity test. Three plants were inoculated with either the LD-12 or LD-121 conidial suspension (1 × 106 spores/ml) or with clean water as an experimental control condition (Mirzwa-Mróz et al., 2018; Liu et al., 2021). All plants were cultured in a greenhouse at 28℃ under a 12-h light/dark cycle, and each experiment was performed three times. Typical leaf spot symptoms were observed on inoculated leaves after 10 d. The same pathogens reisolated from infected leaves displayed the same morphological and molecular traits. They were again identified as A. tenuissima and A. alternata, confirming Koch's postulate. A. tenuissima and A. alternata were previously reported on Orychophragmus violaceus (Liu et al., 2021) and L. caerulea (Yan et al., 2022) in China. This study is the first report of a blue honeysuckle leaf spot caused by A. tenuissima in China. In the future, effective biological and chemical control should be used to prevent blue honeysuckle leaf spots in China.

A 2-pronged attack to get fuel from sewage

Wastewater from human activity could fill more than 100 million Olympic-size swimming pools in a single year, according to researchers from Canada and the Netherlands ( Earth Syst. Sci. Data 2021, DOI: 10.5194/essd-13-237-2021 ). The waste people send down the drain is rich in energy, but turning that waste into renewable fuels in the most efficient way is critical to making the endeavor economically viable. Scientists have now shown that they can boost both hydrogen and biodiesel production from waste by adding a biodegradable surfactant ( ACS ES&T Engg. 2023, DOI: 10.1021/acsestengg.2c00372 ). Researchers at the Harbin Institute of Technology and Northeast Agricultural University took waste activated sludge—made from raw sewage that had been treated with oxygen to stabilize its microbe populations—from a treatment plant in Harbin, China. They sieved the mixture to remove large particles, heated the sludge, and allowed bacteria to produce hydrogen through fermentation. After that, the

Exploration and Practice of Mixed Teaching Mode of “Agricultural Mechanization” Professional Courses under the Perspective of China’s “New Engineering + First-class Course”—Take Northeast Agricultural University “Agricultural Mechanics” Course as an Example

Exploration and Practice of Mixed Teaching Mode of “Agricultural Mechanization” Professional Courses under the Perspective of China’s “New Engineering + First-class Course”—Take Northeast Agricultural University “Agricultural Mechanics” Course as an Example

A novel deep learning method for maize disease identification based on small sample-size and complex background datasets

Maize diseases are a major source of yield loss, but due to the lack of human experience and limitations of traditional image-recognition technology, obtaining satisfactory large-scale identification results of maize diseases are difficult. Fortunately, the advancement of deep learning-based technology makes it possible to automatically identify diseases. However, it still faces issues caused by small sample sizes and complex field background, which affect the accuracy of disease identification. To address these issues, a deep learning-based method was proposed for maize disease identification in this paper. DenseNet121 was used as the main extraction network and a multi-dilated-CBAM-DenseNet (MDCDenseNet) model was built by combining the multi-dilated module and convolutional block attention module (CBAM) attention mechanism. Five models of MDCDenseNet, DenseNet121, ResNet50, MobileNetV2, and NASNetMobile were compared and tested using three kinds of maize leave images from the PlantVillage dataset and field-collected at Northeast Agricultural University in China. Furthermore, auxiliary classifier generative adversarial network (ACGAN) and transfer learning were used to expand the dataset and pre-train for optimal identification results. When tested on field-collected datasets with a complex background, the MDCDenseNet model outperformed compared to these models with an accuracy of 98.84%. Therefore, it can provide a viable reference for the identification of maize leaf diseases collected from the farmland with a small sample size and complex background.

Identification of biomarkers associated with the feed efficiency by metabolomics profiling: results from the broiler lines divergent for high or low abdominal fat content

BackgroundImproving feed efficiency (FE) is one of the main objectives in broiler breeding. It is difficult to directly measure FE traits, and breeders hence have been trying to identify biomarkers for the indirect selection and improvement of FE traits. Metabolome is the "bridge" between genome and phenome. The metabolites may potentially account for more of the phenotypic variation and can suitably serve as biomarkers for selecting FE traits. This study aimed to identify plasma metabolite markers for selecting high-FE broilers. A total of 441 birds from Northeast Agricultural University broiler lines divergently selected for abdominal fat content were used to analyze plasma metabolome and estimate the genetic parameters of differentially expressed metabolites.ResultsThe results identified 124 differentially expressed plasma metabolites (P < 0.05) between the lean line (high-FE birds) and the fat line (low-FE birds). Among these differentially expressed plasma metabolites, 44 were found to have higher positive or negative genetic correlations with FE traits (|rg| ≥ 0.30). Of these 44 metabolites, 14 were found to display moderate to high heritability estimates (h2 ≥ 0.20). However, among the 14 metabolites, 4 metabolites whose physiological functions have not been reported were excluded. Ultimately, 10 metabolites were suggested to serve as the potential biomarkers for breeding the high-FE broilers. Based on the physiological functions of these metabolites, reducing inflammatory and improving immunity were proposed to improve FE and increase production efficiency.ConclusionsAccording to the pipeline for the selection of the metabolite markers established in this study, it was suggested that 10 metabolites including 7-ketocholesterol, dimethyl sulfone, epsilon-(gamma-glutamyl)-lysine, gamma-glutamyltyrosine, 2-oxoadipic acid, L-homoarginine, testosterone, adenosine 5'-monophosphate, adrenic acid, and calcitriol could be used as the potential biomarkers for breeding the "food-saving broilers".

Genomic organization, intragenic tandem duplication, and expression analysis of chicken TGFBR2 gene

Transforming growth factor beta receptor Ⅱ (TGFBR2), a core member of the transforming growth factor-β (TGF-β) signaling pathway. To date, chicken TGFBR2 (cTGFBR2) genomic structure has not been fully explored. Here, the complete sequences of cTGFBR2 transcript isoforms were determined by 5′ and 3′ rapid amplification of cDNA ends (5′ & 3′ RACE) and reverse transcription polymerase chain reaction (RT-PCR); the tissue expression profiling of cTGFBR2 transcript isoforms was performed using quantitative real-time polymerase chain reaction (qRT-PCR). The results showed that cTGFBR2 gene produced 3 transcript isoforms though alternative transcription initiation, splicing, and polyadenylation, which were designated as cTGFBR2-1, cTGFBR2-2, and cTGFBR2-3, respectively. These 3 cTGFBR2 transcript isoforms encoded 3 protein isoforms: cTGFBR2-1, cTGFBR2-2, and cTGFBR2-3. Duplication analysis revealed that, unlike other animal species, cTGFBR2 gene harbored a 5.5-kb intragenic tandem duplication. Tissue expression profiling in the 4-wk-old Arbor Acres (AA) broiler chickens showed that cTGFBR2-1 was ubiquitously expressed, with high expression in abdominal fat, subcutaneous fat, lung, gizzard, and muscle; cTGFBR2-2 was highly expressed in heart, kidney, gizzard, and muscle; cTGFBR2-3 was weakly expressed in all the tested chicken tissues. Tissue expression profiling in the 7-wk-old broiler chickens of the fat and lean lines of Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF) showed that cTGFBR2-1 was significantly differentially expressed in all the tested tissues except heart, cTGFBR2-2 was significantly differentially expressed in all the tested tissues except subcutaneous fat and liver, and cTGFBR2-3 was significantly differentially expressed in all the tested tissues between the lean and fat lines. Intriguingly, in the fat line, the 3 cTGFBR2 transcript isoforms were expressed to varying degrees in all the 3 tested fat tissues, while in the lean line, only cTGFBR2-1 was expressed in all the 3 tested fat tissues. This is the first report of intragenic tandem duplication within TGFBR2 gene. Our findings pave the way for further studies on the functions and regulation of cTGFBR2 gene.

A systematic analysis of and recommendations for public health events involving brucellosis from 2006 to 2019 in China

Brucellosis is a severe public health problem in China. However, analysis on related infection events is lacking. We performed a systematic analysis of brucellosis laboratory infection and vaccine infection events from 2006 to 2019 in China based on the published literatures. Our analysis showed that most laboratoryBrucellainfections in hospitals were found in Southern China. The identification and handling of suspected samples ofBrucellainfection without following the recommended biosafety protection was the main risk factor. It is important to strengthen the preventive awareness of clinical laboratory staff and physicians, while highlighting the compulsory handling and identification of suspectedBrucella-infected samples in biosafety facilities and following biosafety practices. However, a severe Brucella infection accident at the Northeast Agricultural University, with 28 positive cases, showed that strengthening the management in teaching experiments of students in the veterinary-related profession is essential. However, cluster S2 vaccine strain infection events caused by vaccination and production were mainly observed in Northern China. Strengthening vaccination skills, personal protection, and improving the biosafety management of vaccine production and implementing regular risk surveillance is mandatory. Our analysis provides helpful clues for control of public health events involving brucellosis, as well as implementing intervention strategies is urgent.

A Deep Reinforcement Learning Approach to Eco-driving of Autonomous Vehicles Crossing a Signalized Intersection

A Deep Reinforcement Learning Approach to Eco-driving of Autonomous Vehicles Crossing a Signalized Intersection by Joshua Ogbebor 1 , Xiangyu Meng 1,* , Xihai Zhang 2 1 Division of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, 70803, United States of America2 College of Electronic and Information, Northeast Agricultural University, Harbin, 150000, China * Author

Nitrogen accumulation and nitrogen substitution effect of maize under straw returning with continuous cropping

<p id="C3">Crop straw resources in Northeast China are rich, but burning and discarding are serious, and nutrient utilization rate is very low. We explored the feasibility of the substitution of straw returning to nitrogen fertilizer and its effects on nitrogen accumulation under continuous cropping in cold region. A frame culture and continuous positioning experiment was carried out in the experimental site of Northeast Agricultural University from 2017 to 2019, with ¹⁵N labeled urea. A three-factor split-plot design was adopted in this experiment, the main plot was straw returning method with no straw returning (S0) and straw returning (S1), and the sub-plot was nitrogen application levels with 0 (N0), 175 (N1), and 350 (N2) kg hm^-2. Two application methods were set for each fertilizer application amount, one ratio of base fertilizer and top dressing applied was 1:1, and the other ratio of base fertilizer and top dressing applied was 1:0. The results were as follows: When the straw returning amount was 12 t hm^-2, the returning straw could replace 36.8 kg hm^-2 pure nitrogen. The average amount of maize straw was 46.50 million tons in Heilongjiang Province from 2017 to 2019, and straw returning could replace 142,700 tons pure nitrogen. The replace amount of pure nitrogen in the ratio of base fertilizer and top dressing (1:1) was 26.88% higher than that in 1:0. Straw returning was negatively correlated with nitrogen use efficiency in maize. The average nitrogen use efficiency of maize in S0 treatment was 6.09% higher than S1 treatment, and the yield of S1 treatment was 4.66% higher than S0 treatment when the urea application amount was 350 kg hm^-2 (161 kg hm^-2 pure nitrogen). The highest yield of maize was 268.22 g frame^-1 in the treatment of straw returning and topdressing with commonly fertilizer applied in local agriculture. In conclusion, the nitrogen substitution effect was remarkable under maize straw returning in Northeast China. Long-term combined application of crop straw and nitrogen fertilizer significantly improved the biomass, yield, and nitrogen accumulation of maize, which was a cultivation mode for increasing yield and efficiency of maize in Northeast China.

Spatial variability of maize leaf area and relationship with yield

AbstractLeaf area is an important factor affecting crop yield. However, leaf area has spatial variability and the relationship between leaf area and yield have scale dependence. For these reasons, we establish multifractal model of maize (Zea mays L.) leaf area and joint multifractal model of maize leaf area and yield. The experiment was carried at the Xiangyang base of Northeast Agricultural University. The size of experimental plot was 9,216 m2 which included 64 sampling points. The spatial and temporal variability of maize leaf area was studied with traditional statistics and multifractal methods, and the relationship between maize leaf area and yield at multiple scales was analyzed with the joint multifractal method. Multifractal theory can effectively characterize spatial and temporal variability of maize leaf area and multiscale relationship between leaf area and yield. Maize leaf area exhibited a moderate degree of variation which first decreased then increased with the change in the growth stage, and spatial variability at different growth stages was mainly caused by low leaf area values . At the observed scale, axis weight per ear, ear weight, and grain weight per ear were most significantly related to maize leaf area at the milk, filling, and jointing stages; at the multiscale level, axis weight per ear was most significantly related to maize leaf area at the tasseling, filling, milk, and jointing stages, and ear weight and grain weight per ear were most significantly related to maize leaf area at the tasseling, filling and ripening stages.

PARAMETER OPTIMIZATION OF TRACTOR'S STEERING TRAPEZOID MECHANISM BASED ON IMPROVED ADAPTIVE DIRECTION STRATEGY TEACHING-LEARNING-BASED OPTIMIZATION

The parameter optimization of the tractor's steering trapezoid mechanism is a traditional optimization problem, and the teaching-learning-based optimization (TLBO) has a better solving ability for parameter optimization of the tractor's steering trapezoid. However, the teacher stage and student stage of TLBO limit the accuracy and stability and the ability to jump out of the local optimization solution. To obtain an optimal solution with an higher accuracy, an improved adaptive direction strategy teaching-learning-based optimization (IADS-TLBO) was used. This improved the feedback stage based on the adaptive direction strategy teaching-learning-based optimization (ADS-TLBO). The IADS-TLBO was verified by three different testing functions, and the results showed that the improved ideas are valid and feasible. Finally, the IADS-TLBO was used to optimize the steering trapezoid mechanism of JOHN DEERE T600. The optimal parameters obtained were as follows: the bottom angle was 35.4º, and the steering arm length was 154 mm. A verification experiment was conducted in the farm tool laboratory of Northeast Agricultural University (China). The experimental results showed that the average bottom angle was 35.48º, and the relative error between the measured and optimized bottom angles was 0.23%, which is less than 5%. This result showed that the results obtained by IADS-TLBO were reliable.

Leaf spot disease of Orychophragmus violaceus caused by Alternaria tenuissima in China.

Leaf spot disease of Orychophragmus violaceus caused by Alternaria tenuissima in China.

Integration of association and computational methods reveals functional variants of LEPR gene for abdominal fat content in chickens

Leptin receptor (LEPR) plays a vital role in obesity in humans and animals. The objective of this study is to assess LEPR functional variants for chicken adipose deposition by integration of association and in-silico analysis using a unique chicken population, the Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF). Five online bioinformatics tools were used to predict the functionality of the single nucleotide polymorphisms (SNPs) in coding region. Further, the possible structure–function relationship of high confidence SNPs was determined by bioinformatics analyses, including the conservation and stability analysis based on amino acid residues, prediction of protein ligand-binding sites, and the superposition of protein tertiary structure. Meanwhile, we analyzed the association between abdominal fat traits and 20 polymorphisms of chicken LEPR gene. The integrated results showed that rs731962924 (N867I) and rs13684622 (C1002R) could lead to striking changes in the structure and function of proteins, of which rs13684622 (C1002R) was significantly associated with abdominal fat weight (AFW, P=0.0413) and abdominal fat percentage (AFP, P=0.0260) in chickens. Therefore, we are of the opinion that rs13684622 (C1002R) may be an essential functional SNP affecting chicken abdominal fat deposition, and potentially applied to improvement of broiler abdominal fat in molecular marker-assisted selection (MAS) program. Additionally, the coupling of association with computer electronic predictive analysis provides a new avenue to identify important molecular markers for breeders.

Massilia cellulosiltytica sp. nov., a novel cellulose-degrading bacterium isolated from rhizosphere soil of rice (Oryza sativa L.) and its whole genome analysis

A bacterial strain, Gram-stain negative, rod-shaped, aerobic and cellulose-degrading, designated NEAU-DD11T, was isolated from rhizosphere soil of rice collected from Northeast Agricultural University in Harbin, Heilongjiang Province, North-east China. Base on 16S rRNA gene sequence analysis, strain NEAU-DD11T belongs to the genus Massilia and shared high sequence similarities with Massilia phosphatilytica 12-OD1T (98.46%) and Massilia putida 6NM-7T (98.41%). Phylogenetic analysis based on the 16S rRNA gene and whole genome sequences indicated that strain NEAU-DD11T formed lineage related to M. phosphatilytica 12-OD1T and M. putida 6NM-7T. The major fatty acids of the strain were C16:0, C17:0-cyclo and C16:1ω7c. The respiratory quinone was Q-8. The polar lipids profile of the strain showed the presence of diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine, an unidentified polar lipid and an unidentified phospholipid. In addition, the digital DNA-DNA hybridization values between strain NEAU-DD11T and M. phosphatilytica 12-OD1T and M. putida 6NM-7T were 45.4 and 35.6%, respectively, which are lower than the accepted threshold value of 70%. The DNA G + C content of strain NEAU-DD11T was 66.2%. The whole genome analysis showed the strain contained carbohydrate enzymes such as glycoside hydrolase and polysaccharide lyase, which enabled the strain to have the function of degrading cellulose. On the basis of the phenotypic, genotypic and chemotaxonomic characteristics, we conclude that strain NEAU-DD11T represents a novel species of the genus Massilia, for which the name Massilia cellulosiltytica sp. nov. is proposed. The type strain is NEAU-DD11T (= CCTCC AB 2019141T = DSM 109721T).

Effect of cognitive behaviour therapy on the improvement of psychological stress.

College freshmen, as a special group who are far away from their parents and begin to study and live independently, will face psychological stress in adaption to the college life, which may affect their working and living conditions in the university and even after entering the society if not solved reasonably. Hence, it is necessary to explore how to relieve the psychological stress of freshmen. The study aimed to analyze the intervention effects of cognitive behavioral therapy on social psychological stress of freshmen under different demographic variables. 108 freshmen of Northeast Agricultural University were divided into the experimental group and control group. The correlation between psychological stress and impulse, self-esteem, and loneliness was analyzed using structural equation model and multiple regression. The experimental group received group training for one month, while the control group did not accept any intervention. The Fear of Negative Evaluation (FNE) Scale, Interaction Anxiousness Scale (IAS), and Interpersonal Efficacy Scale (IES) were used to score students before and after activities and three months after activities. The relevant information was collected for students' self-evaluation and the evaluation results from group teachers. The subjects' social psychological stress was positively correlated with loneliness and unplanned impulse, and negatively correlated with self-esteem (P < 0.001); the IAS and FNE scores of the experimental group after test were greatly lower than those of the control group, while the scores of affinity efficacy, communication efficacy, and emotional control were greatly higher than those of the control group (P < 0.05); the tracking IAS and FNE scores of the experimental group were greatly lower than those of the control group, while the scores of affinity efficacy, self-impression efficacy, communication efficacy, and emotional control were greatly higher than those of the control group (P < 0.05). All students in the experimental group were satisfied with the cognitive behavioral group training. Under the positive guidance of the team teacher, the students' psychological stress was released. The cognitive behavior group training based on impulse, self-esteem, and loneliness can effectively improve the affinity efficacy, self-impression efficacy, communication efficacy, and negative evaluation fear of freshmen, which is instrumental in easing the psychological stress of students and can maintain long-term effects.