橄榄蛏蚌赣江群体数量性状的通径分析

为探明橄榄蛏蚌各数量性状间的相关性以及影响肉质量的主要性状,随机选取40只3~4龄的野生橄榄蛏蚌,测量了壳长、壳宽、壳高、体质量(x1)、壳质量(x2)、高(x3)和肉质量(y)等7个数量性状,计算含肉率。运用相关分析、通径分析和多元回归分析等统计方法,对各数量性状之间的相互关系进行分析,计算各性状对肉质量的通径系数与决定系数,并建立了回归方程。研究结果显示,橄榄蛏蚌的含肉率达到65.62%,是极具开发潜力的食用淡水贝类;橄榄蛏蚌各数量性状间的表型相关均达到了极显著水平(P<0.01);体质量对肉质量的直接作用最大,为0.983,是影响肉质量的主要因素,而壳长、壳宽、壳高、高与壳质量等性状对肉质量的影响主要是通过体质量间接实现的;体质量的综合决定效应为96.08%,是影响肉质量的最主要因素,具有育种意义;运用逐步回归方法,建立了各数量性状对肉质量的回归方程为:y=-18.548+0.690x1-0.442x2+6.804x3。     

荷斯坦奶牛牛嘴宽度影响因素分析及遗传参数估计

【目的】探究中国荷斯坦奶牛牛嘴宽度的群体规律,并估计其遗传参数。【方法】2021年7月至2021年8月分别在2个规模化奶牛场测定了628头泌乳期荷斯坦奶牛的牛嘴宽度及臀高、体高、体斜长和胸围等体尺性状,同时利用体斜长和胸围估计试验牛体重。利用SPSS 26.0软件分析了牧场、月龄和泌乳阶段等因素对牛嘴宽度的影响,以及牛嘴宽度与各体尺性状之间的相关关系;基于DMU软件采用单性状动物模型估计了牛嘴宽度的方差组分及遗传力。【结果】荷斯坦奶牛牛嘴宽度的群体平均值为17.28 cm,变异系数为5%,变异相对较小;牧场和月龄对牛嘴宽度均有极显著影响（P<0.01）,泌乳阶段对牛嘴宽度有显著影响（P<0.05）,牛嘴宽度随母牛月龄的增加呈逐渐增加的趋势,泌乳初期牛嘴宽度显著小于其他泌乳阶段（P<0.05）;牛嘴宽度与各体尺性状之间存在极显著正相关（P<0.01）;荷斯坦奶牛牛嘴宽度的遗传力估计值为0.28,为中高遗传力性状。【结论】牧场和月龄对奶牛牛嘴宽度影响极显著,泌乳阶段对奶牛牛嘴宽度影响显著,牛嘴宽度与臀高呈较弱相关。荷斯坦奶牛牛嘴宽度是一个具有中高遗传力的体尺性状。     

刺参(Apostichopus japonicus)重要经济性状相关SNP标记的验证分析

本研究在前期构建的刺参(Apostichopus japonicus)高密度遗传连锁图谱和QTL分析的基础上，筛选出26个与体长、体重、体宽、棘刺总数、抗病力相关的SNP位点，设计出可用于HRM检测的SNP扩增引物13对。在扩大群体中利用HRM小片段法对这13个刺参重要经济性状相关的候选SNP位点进行分型和多态性检测，并结合扩大群体的相关性状数据进行了QTL位点验证。多态性结果显示，13个位点中有3个单态性位点，其余10个多态性位点中有3个位点为低等位多态性，7个位点为中等位多态性。10个多态性位点的最小等位基因频率(MAF)介于0.016(SNP113)~ 0.332(SNP160)之间，平均值为0.173；各位点的观测杂合度(Ho)介于0.031(SNP113)~0.818(SNP9)之间，平均值为0.433；期望杂合度(He)介于0.031(SNP113)~0.834(SNP9)之间，平均值为0.402；多态信息含量(PIC)介于0.030(SNP113)~0.393(SNP160)之间，平均为0.248，有6个位点偏离Hardy- Weinberg平衡。QTL验证结果表明，SNP40和SNP160位点为与生长(体长、体重、体宽)相关的位点，各位点的优势基因型分别为SNP40(CC)和SNP160(AA)；SNP88、SNP112和SNP126这3个位点为与抗病力相关的位点，各位点的优势基因型为SNP88(CC)、SNP112(AA)和SNP126(TT)。基于这5个位点构建生长和抗病二倍型，发现二倍型K1(CC AA TT)抗病力最强，S1(CC AA)、S3(CC AC)在生长方面优势显著，相关研究结果可为分子标记辅助育种在生产中应用提供基础数据。     

Variation and heritability of morphological and physiological traits among Leymus chinensis genotypes under different environmental conditions

Intraspecific trait variation and heritability in different environmental conditions not only suggest a potential for an evolutionary response but also have important ecological consequences at the population, community, and ecosystem levels. However, the contribution of quantitative trait variation within a grassland species to evolutionary responses or ecological consequences is seldom documented. Leymus chinensis is an important dominant species in semi-arid grasslands of China, which has seriously suffered from drought and high temperature stresses in recent decades. In the present study, we measured variation and heritability of 10 quantitative traits, namely the number of tillers, maximum shoot height, number of rhizomes, maximum rhizome length, rhizome mass, aboveground mass, root mass, maximum net photosynthetic rate(Pmax), specific leaf area(SLA), and leaf length to leaf width ratio(LL/LW), for 10 genotypes of L. chinensis under one non-stress(Ck) condition and three environmental stress conditions(i.e., drought(Dr), high temperature(Ht), and both drought and high temperature(DrHt)). Result indicated that(1) the interaction of genotype and environmental condition(G×E) was significant for 6 traits but not significant for the other 4 traits as shown by two-way analysis of variance(ANOVA), suggesting that different selection forces were placed for different traits on the factors dominating phenotypic responses to different environmental conditions. Moreover, these significant G×E effects on traits indicated significantly different phenotypic adaptive responses among L. chinensis genotypes to different environmental conditions. Additionally, individuals could be grouped according to environmental condition rather than genotype as shown by canonical discriminant analysis, indicating that environmental condition played a more important role in affecting phenotypic variation than genotype;(2) by one-way ANOVA, significant differences among L. chinensis genotypes were found in all 10 traits under Ck and Dr conditions, in 8 traits under Dr Ht condition and only in 4 traits under Ht condition; and(3) all 10 traits showed relatively low or non-measurable broad-sense heritability(H_2) under stress conditions. However, the lowest H_2 value for most traits did not occur under DrHt condition, which supported the hypothesis of 'unfavorable conditions have unpredictable effects' rather than 'unfavorable conditions decrease heritability'. Results from our experiment might aid to improve predictions on the potential impacts of climate changes on L. chinensis and eventually species conservation and ecosystem restoration.     

Realizing the potential of trait‐based approaches to advance fisheries science

Analysing how fish populations and their ecological communities respond to perturbations such as fishing and environmental variation is crucial to fisheries science. Researchers often predict fish population dynamics using species‐level life‐history parameters that are treated as fixed over time, while ignoring the impact of intraspecific variation on ecosystem dynamics. However, there is increasing recognition of the need to include processes operating at ecosystem levels (changes in drivers of productivity) while also accounting for variation over space, time and among individuals. To address similar challenges, community ecologists studying plants, insects and other taxa increasingly measure phenotypic characteristics of individual animals that affect fitness or ecological function (termed “functional traits”). Here, we review the history of trait‐based methods in fish and other taxa, and argue that fisheries science could see benefits by integrating trait‐based approaches within existing fisheries analyses. We argue that measuring and modelling functional traits can improve estimates of population and community dynamics, and rapidly detect responses to fishing and environmental drivers. We support this claim using three concrete examples: how trait‐based approaches could account for time‐varying parameters in population models; improve fisheries management and harvest control rules; and inform size‐based models of marine communities. We then present a step‐by‐step primer for how trait‐based methods could be adapted to complement existing models and analyses in fisheries science. Finally, we call for the creation and expansion of publicly available trait databases to facilitate adapting trait‐based methods in fisheries science, to complement existing public databases of life‐history parameters for marine organisms.     

绿色超级稻品种的农艺与生理性状分析

探明绿色超级稻的农艺与生理性状,对于培育和选用绿色超级稻品种有重要意义。本研究以4个绿色超级稻品种为材料,1个超级稻品种和1个非超级稻品种为对照,观察了绿色超级稻的农艺与生理表现。结果表明,与对照品种相比,绿色超级稻品种具有较高的产量和氮素利用效率。绿色超级稻品种较高的产量得益于总颖花数和结实率的同步提高,较高的氮素利用率主要在于较高的植株氮素籽粒生产效率(氮素内部利用效率)。绿色超级稻具有较高的茎蘖成穗率和粒叶比,抽穗期较高的糖花比,灌浆期较高的作物生长速率、净同化率、根系氧化力和茎中同化物向籽粒的运转率和成熟期较高的收获指数。这些性状与产量及植株氮素籽粒生产效率均呈极显著的正相关。建议将上述性状作为培育和选用绿色超级稻品种的参考指标。     

普通小麦主要农艺性状的全基因组关联分析

为解析小麦复杂农艺性状的遗传机制,本研究以150份小麦品种(系)为自然群体,在4个环境条件下测定了9个主要农艺性状,利用小麦35K SNP芯片,结合5种关联模型(Q、PCA、K、PCA+K、Q+K),进行全基因组关联分析。结果表明,全基因组多态性信息量PIC的范围为0.0950～0.5000,最小等位基因频率MAF值为0.0500～0.5000;群体结构分析和PCA分析均表明参试材料可分为两个亚群;连锁不平衡分析发现A基因组、B基因组、D基因组和全基因组的LD衰减距离分别为4.7、8、11和6 Mb。9个性状共检测到652个显著的关联位点(P≤0.001),其中21个SNP在2个或2个以上的环境中被重复检测到,分布在1A(1)、1B(4)、2A(3)、2D(2)、3A(1)、5A(1)、5B(5)、6A(1)、6B(2)和7D(3)染色体上; 1个SNP标记的物理位置未知, 3个SNP标记同时与2个性状显著关联;单个SNP的表型贡献率为7.67%～18.79%。8个优势等位变异在供试群体中所占比例较低,筛选出14个可能与小麦农艺性状相关的候选基因,其中TraesCS5B02G237200、TraesCS7D02G129700和TraesCS1B02G426300可能在植物抵御生物与非生物胁迫中起作用,TraesCS5B02G010800和TraesCS7D02G436800可能与植物激素的合成和响应有关,TraesCS2A02G092200可能与植物细胞壁的增强有关, TraesCS5A02G438800可能参与叶绿体发育,另外7个候选基因的功能未知。     

干旱胁迫下‘宁玉’草莓生长发育及相关基因表达特点

为分析基因诊断草莓在干旱逆境条件下生长状态的可行性,以‘宁玉’草莓为试材,调查了不同干旱胁迫条件下的生长特点以及与生长素合成、脱落酸合成、花果发育、色素合成相关的10个基因的表达情况。研究结果表明:在不同干旱条件下草莓均可完成从营养生长到生殖生长的生命周期,所选基因也都行使并完成了其调控功能。与对照植株相比,在轻度和中度干旱胁迫(50%~65%土壤持水量)条件下,草莓植株的物候期较对照(80%土壤持水量)提早,而在严重干旱胁迫(35%土壤含水量时)条件下延缓,随着干旱胁迫条件的加重,草莓植株、叶片、果实明显变小,果实着色加深。每个基因在不同干旱条件下表达水平的变化趋势基本一致,且都与相应的物候期以及生长发育时间长短的变化情况相一致,但所选基因在几种干旱条件下其表达开始的早晚、表达水平的高低以及表达相应程度持续时间的长短存在不同。在轻度和中度干旱条件下,这些基因的表达时间提早,但持续时间较短,表达水平高于对照;而在重度干旱条件下,这些基因的表达开始的时间较对照延缓,表达水平较低但持续时间拉长。上述研究结果表明,利用基因的表达信息可以提前推断草莓植株在不同干旱条件下的生长发育状态,了解干旱胁迫对草莓生长发育的影响以及为是否需要提早采取管理措施等提供重要依据。