Devastation of sesame (Sesamum indicum L.) crops in different agroclimatic zones of India by genetically diverse subgroups of phytoplasma

The sesame crop is highly susceptible to infection by phytoplasmas, a class of cell wall-less plant pathogenic bacteria (Mollicutes), which is responsible for widespread loss of sesame crops in both North and South India in recent years. Therefore, characterizing the pathogen population is required before the control measures can be devised and implemented. With molecular tools based on nested polymerase chain reaction (PCR) assays, sequencing, restriction profiling, and phylogenetic analysis, phyllody-affected sesame plants collected from nine different states of India were found to be infected by phytoplasmas belonging to two 16Sr groups, namely 16SrI and II. Two subgroups of phytoplasma −16SrI-B and 16SrII-D— were prevalent in symptomatic sesame samples collected from North India, whereas phytoplasma of only the 16SrII group was found in South India. However, the latter samples were diverse, belonging to three different subgroups (16SrII-A, II-C, and II-D). In addition, yearly phyllody-affected sesame samples from Delhi for 4 consecutive years (2007–2010) showed variation in the infecting phytoplasma: the subgroup 16SrII-D was detected in samples collected in 2007, and 16SrI-B was predominantly found in the samples collected in the subsequent years. The study also provides molecular evidence for the association between 16SrI-B phytoplasma and different symptoms in sesame crops such as fasciation, little leaf, and stunting. This is the first study to report the association of the phytoplasma subgroups 16SrII-A and II-D with sesame crops in India. This study provides a baseline for designing specific detection and molecular analysis strategies for quarantine purposes. It also highlights the need for examining the dynamics of seasonal or location-specific variation in vector populations to determine the pattern of infection outbreaks.     

一种新颖的阳离子非病毒基因载体 Chitosan-g-PEI-g-PEG-OH 的性能研究

研究了新型阳离子聚合物Chitosan-g-PEI-g-PEG-OH的性能，重点考察其粒度，基因转染效率与细胞毒性，探讨了其作为基因载体的可能性.通过动态光散射仪（DSL）、透射电镜（TEM）观察了Chitosan-g-PEI-g-PEG-OH与DNA自组装形成的颗粒形态及粒径，Chitosan-g-PEI-g-PEG-OH可复合DNA形成粒径160～210 nm的纳米复合物，适合进入细胞.使用MTT比色法分析Chitosan-g-PEI-g-PEG-OH的毒性并与PEI，PEI-g-PEG-OH比较.选用增强型绿色荧光蛋白(EGFP) 转染Hela细胞，应用流式细胞术检测转染效率.新型阳离子多聚物Chitosan-g-PEI-g-PEG-OH在提高基因转染效率的同时降低了其细胞毒性，有望成为基因转移的有效载体.     

Emerging issues in genomic selection

Genomic selection (GS) is now practiced successfully across many species. However, many questions remain, such as long-term effects, estimations of genomic parameters, robustness of genome-wide association study (GWAS) with small and large datasets, and stability of genomic predictions. This study summarizes presentations from the authors at the 2020 American Society of Animal Science (ASAS) symposium. The focus of many studies until now is on linkage disequilibrium between two loci. Ignoring higher-level equilibrium may lead to phantom dominance and epistasis. The Bulmer effect leads to a reduction of the additive variance; however, the selection for increased recombination rate can release anew genetic variance. With genomic information, estimates of genetic parameters may be biased by genomic preselection, but costs of estimation can increase drastically due to the dense form of the genomic information. To make the computation of estimates feasible, genotypes could be retained only for the most important animals, and methods of estimation should use algorithms that can recognize dense blocks in sparse matrices. GWASs using small genomic datasets frequently find many marker-trait associations, whereas studies using much bigger datasets find only a few. Most of the current tools use very simple models for GWAS, possibly causing artifacts. These models are adequate for large datasets where pseudo-phenotypes such as deregressed proofs indirectly account for important effects for traits of interest. Artifacts arising in GWAS with small datasets can be minimized by using data from all animals (whether genotyped or not), realistic models, and methods that account for population structure. Recent developments permit the computation of P-values from genomic best linear unbiased prediction (GBLUP), where models can be arbitrarily complex but restricted to genotyped animals only, and single-step GBLUP that also uses phenotypes from ungenotyped animals. Stability was an important part of nongenomic evaluations, where genetic predictions were stable in the absence of new data even with low prediction accuracies. Unfortunately, genomic evaluations for such animals change because all animals with genotypes are connected. A top-ranked animal can easily drop in the next evaluation, causing a crisis of confidence in genomic evaluations. While correlations between consecutive genomic evaluations are high, outliers can have differences as high as 1 SD. A solution to fluctuating genomic evaluations is to base selection decisions on groups of animals. Although many issues in GS have been solved, many new issues that require additional research continue to surface.     

鸡繁殖性能近交衰退相关CpG岛差异甲基化基因的筛选

鸡繁殖性能近交衰退是地方鸡遗传资源活体保种过程中面临的重要问题之一,本研究旨在探讨全基因组CpG岛（CpG island,CGI）区DNA甲基化在鸡繁殖性能近交衰退中的作用。分别从狼山鸡高近交组和低近交组中各选取健康母鸡3只,即试验分2个组,每组3个重复,然后采用全基因组重亚硫酸盐测序（WGBS）技术,检测分析两组个体性腺轴组织（包括卵巢和下丘脑）全基因组DNA甲基化差异,筛选差异甲基化区域（DMRs）,并对CpG岛区差异甲基化基因进行功能注释和富集分析。结果表明,狼山鸡高近交组和低近交组比较,其卵巢和下丘脑基因组整体甲基化水平均不存在显著差异（P>0.05）;高、低近交组间差异甲基化区域检测发现,下丘脑和卵巢中分别检测到5 948和4 593个差异甲基化区域,其中1 798和995个差异甲基化区域位于基因组CpG岛区,分别注释到1 020和552个基因;下丘脑中,这些CpG岛区差异甲基化基因显著富集在信号转导、神经系统发育、生殖系统发育和卵母细胞成熟调控等繁殖相关的GO条目,以及转化生长因子β信号通路、乙型肝炎、脂肪酸代谢、胰岛素信号通路等19条KEGG信号通路（P<0.05）;卵巢中,CpG岛区差异甲基化基因显著富集于12条信号通路（P<0.05）,包括慢性骨髓白血病、流感A、精氨酸和脯氨酸代谢、粘着连接等,一些与卵子发育和性激素分泌相关的信号通路也被富集到,如黄体酮介导的卵母细胞成熟、卵母细胞减数分裂、GnRH信号通路、雌激素信号通路等,其中包含CDC27、ADCY8、AKT3等10个差异甲基化基因。因此,本研究在狼山鸡高、低近交组间检测到了大量差异甲基化区域,并发现大量差异甲基化基因与繁殖性状相关,推测这些基因CpG岛区DNA甲基化可能在狼山鸡繁殖性能近交衰退调控中发挥重要作用,研究结果为进一步深入探索鸡繁殖性能近交衰退调控机制奠定了基础,为物种资源保护和家禽育种工作提供了理论参考依据。     

线粒体DNA在先天性免疫中的作用

线粒体是细胞内重要的细胞器,具有多种功能,是细胞的能量工厂。线粒体含有自己的遗传物质线粒体DNA,线粒体DNA因其在氧化磷酸化中的作用而广为人知。近年来,越来越多的研究表明线粒体DNA可作为先天性免疫系统的激动剂,并在病原体感染和炎性疾病的病理发展中起重要作用。线粒体DNA在进入细胞质或细胞外环境后,可以激活多种先天性免疫系统的模式识别受体,从而触发促炎细胞因子分泌和Ⅰ型干扰素反应。因此,本文就线粒体DNA激活先天性免疫的机制以及其在病原体感染和相关疾病发生发展中的作用进行讨论、总结,以期为进一步深入开展线粒体DNA在病原体感染及相关疾病中的作用及其机制研究提供理论依据。     

5-Aza-dC对牛成肌细胞MyoD1启动子甲基化及mRNA表达的影响

旨在探究5-氮杂-2-脱氧胞苷（5-Aza-2’-deoxycytidine,5-Aza-dC）对牛成肌细胞的增殖和肌分化因子（myogenic differentiation 1,MyoD1）启动子甲基化以及mRNA表达的影响。本研究复苏了前期冻存的关岭牛成肌细胞,并进行培养,待其生长到对数生长期,再通过不同浓度的5-Aza-dC对牛成肌细胞进行处理,利用流式细胞仪检测细胞凋亡和周期;结合高通量检测方法检测MyoD1启动子甲基化水平,并利用qRT-PCR检测MyoD1及相关基因的表达水平。研究发现,0.1 μmol·L^-15-Aza-dC为最适浓度,该浓度下细胞抗凋亡因子Bcl的表达极显著降低（P<0.01）,促凋亡因子Bax的表达极显著提高（P<0.01）,促凋亡因子Caspase-9的表达显著提高（P<0.05）;周期因子Cyclin A2的表达显著提高（P<0.05）,而细胞因子Cyclin B1、Cyclin D的表达无显著变化;检测空白组和试验组MyoD1启动子甲基化水平发现,试验组甲基化水平极显著低于空白组（P<0.01）;而mRNA的表达水平极显著高于空白组（P<0.01）。5-Aza-dC能够通过改变Caspase-9、Bcl、Bax、Cyclin A2等基因的表达来调节关岭牛成肌细胞的增殖和凋亡,并能够有效降低MyoD1基因启动子的甲基化水平（P<0.01）;极显著提高其mRNA的表达量（P<0.01）。低浓度的5-Aza-dC能通过促进细胞凋亡及调控关岭牛MyoD1的甲基化水平来调控MyoD1的表达;同时推测,MyoD1基因启动子的甲基化水平能够影响关岭牛成肌细胞的生长发育,可为遗传标记辅助关岭牛的改良提供理论参考。     

快速型黄羽肉鸡饲料利用效率性状的基因组选择研究

旨在探究快速型黄羽肉鸡饲料利用效率性状的遗传参数,评估不同方法所得估计育种值的准确性。本研究以自主培育的快速型黄羽肉鸡E系1 923个个体（其中公鸡1 199只,母鸡724只）为研究素材,采用"京芯一号"鸡55K SNP芯片进行基因分型。分别利用传统最佳线性无偏预测（BLUP）、基因组最佳线性无偏预测（GBLUP）和一步法（SSGBLUP）3种方法,基于加性效应模型进行遗传参数估计,通过10倍交叉验证比较3种方法所得估计育种值的准确性。研究性状包括4个生长性状和4个饲料利用效率性状：42日龄体重（BW42D）、56日龄体重（BW56D）、日均增重（ADG）、日均采食量（ADFI）和饲料转化率（FCR）、剩余采食量（RFI）、剩余增长体重（RG）、剩余采食和增长体重（RIG）。结果显示,4个饲料利用效率性状均为低遗传力（0.08~0.20）,其他生长性状为中等偏低遗传力（0.11~0.35）;4个饲料利用效率性状间均为高度遗传相关,RFI、RIG与ADFI间为中度遗传相关,RFI与ADG间无显著相关性,RIG与ADG间为低度遗传相关。本研究在获得SSGBLUP方法的最佳基因型和系谱矩阵权重比基础上,比较8个性状的估计育种值准确性,SSGBLUP方法获得的准确性分别比传统BLUP和GBLUP方法提高3.85%~14.43%和5.21%~17.89%。综上,以RIG为选择指标能够在降低日均采食量的同时保持日均增重,比RFI更适合快速型黄羽肉鸡的选育目标;采用最佳权重比进行SSGBLUP分析,对目标性状估计育种值的预测性能最优,建议作为快速型黄羽肉鸡基因组选择方法。     

一种适用于单胎动物多品种选择的基因组关系矩阵

旨在提出一种新型基因组关系矩阵并验证其在多品种联合群体中的模拟应用效果。本研究利用QMsim软件模拟牛的表型数据和基因型数据;利用Gmatrix软件构建常规G阵;利用R语言构建新型G阵,新型G阵在常规G阵的基础上,将多品种联合群体的非哈代-温伯格平衡位点考虑在内;利用DMU软件使用“一步”法模型计算基因组估计育种值（estimated genomic breeding value,GEBV）;比较不同情况下使用两种G阵的GEBV预测准确性。结果表明,在不同遗传力及QTL数下,不对新型G阵使用A₂₂阵加权就能达到常规G阵使用A₂₂阵加权时的GEBV预测准确性。在系谱部分缺失时,新型G阵不加权较常规G阵加权时GEBV预测准确性高。证明,在系谱有部分缺失时,新型G阵对多品种GEBV的预测有一定优势。     

Variation among stallions in sperm quality after single layer centrifugation

Although single layer centrifugation (SLC) selects robust spermatozoa from stallion semen, the effect of individual variation has not been studied in detail. The objective of this study was to determine the variation among stallions in the effects of SLC on sperm quality during cooled storage for up to 48 hr. Semen samples from seven stallions (18 ejaculates) were split, with one portion being used for SLC and the other serving as a control (CON). Sperm quality (kinematics, reactive oxygen species (ROS) production, membrane integrity (MI) and chromatin integrity) were analysed at 0, 24 and 48 hr using computer-assisted sperm analysis and flow cytometry. Sperm quality was better in SLC than in CON at all timepoints, especially chromatin integrity and MI (p < .0001 for both), and some categories of ROS production (e.g. proportion of live hydrogen peroxide negative spermatozoa, p < .0001), but the degree of improvement varied among stallions and type of ROS (p < .05–p < .0001). Total and progressive motility were also better in SLC samples than in CON at 24 and 48 hr (p < .0001), although the effect on sperm kinematics varied. The interaction of treatment, time and stallion was not significant. In conclusion, sperm quality was better in SLC samples than in CON, although there was considerable individual variation among stallions. The improvement in sperm quality, particularly in chromatin integrity, was clearly beneficial, and therefore the use of this technique would be warranted for all stallion semen samples.     

AANAT基因在滩羊不同繁殖时期卵巢中的转录差异及DNA甲基化程度分析

试验旨在检测5-羟色胺-N-乙酰基转移酶（AANAT）基因在绵羊休情季节和繁殖季节（卵泡期和黄体期）卵巢组织中的转录差异,并分析转录差异是否由DNA甲基化修饰程度改变所导致。试验采用自然环境条件和饲养管理一致,且体重差异在0.5 kg范围内的空怀母滩羊作为试验动物,采集其休情期、卵泡期和黄体期（每个时期3只）的卵巢组织,采用SYBR染料法进行实时荧光定量PCR检测AANAT基因在滩羊不同繁殖时期卵巢组织中的转录水平。随后针对转录水平有差异的两个时期（休情期和卵泡期）的样本,利用MethPrimer 2.0在线软件预测AANAT基因启动子区和第一外显子区的CpG岛;用重亚硫酸盐测序法（BSP法）检测AANAT基因启动子区及第一外显子区的甲基化程度。试验结果显示,滩羊休情期卵巢组织中AANAT基因转录水平显著低于卵泡期的AANAT基因转录水平（P<0.05）,休情期与黄体期滩羊卵巢组织中AANAT基因的转录水平差异不显著（P>0.05）。滩羊卵巢组织中AANAT基因启动子区上存在着一个长度为173 bp的CpG岛,第一外显子区存在着一个长度为118 bp的CG岛。然而,两个甲基化岛区内的单个CpG位点甲基化程度在滩羊休情期和卵泡期之间均不存在显著差异,暗示AANAT基因的表达受甲基化修饰外的因素调控。本研究结果可为进一步探讨AANAT基因在季节性发情和卵泡成熟中的功能提供参考资料。