In situ radiometric mapping of soil erosion and field-moist bulk density on cultivated fields

Abstract. Recent developments in in situγ ray spectrometry offer a new approach to measuring the activity of radionuclides such as ¹³⁷Cs and ⁴⁰K in soils, and thus estimating erosion or deposition rates and field moist bulk density (ρ_m). Such estimates would be rapid and involve minimal site disturbance, especially important where archaeological remains are present. This paper presents the results of a pilot investigation of an eroded field in Scotland in which a portable hyper pure germanium (HPGe) detector was used to measure γ ray spectra in situ. The gamma (γ) photon flux observed at the soil surface is a function of the ¹³⁷Cs inventory, its depth distribution characteristics and ρ_m. A coefficient, Q_Cs, derived from the forward scattering of ¹³⁷Cs γ ray photons within the soil profile relative to the ¹³⁷Cs full energy peak (662 keV), was used to correct the in situ calibration for changes in the ¹³⁷Cs vertical distribution in the ploughed field, a function of tillage, soil accumulation and ρ_m. Based on only 8 measurements, the agreement between in situγ ray spectrometry and soil sample measurements of ¹³⁷Cs inventories improved from a non significant r²=0.05 to a significant r²=0.62 (P<0.05). Erosion and deposition rates calculated from the corrected in situ¹³⁷Cs measurements had a similarly good agreement with those calculated from soil cores. Mean soil bulk density was also calculated using a separate coefficient, Q_K, derived from the forward scattering γ photons from ⁴⁰K within the soil relative to the ⁴⁰K full energy peak (1460 keV). Again there was good agreement with soil core measurements (r²=0.64; P<0.05). The precision of the in situ¹³⁷Cs measurement was limited by the precision with which Q_Cs can be estimated, a function of the low ¹³⁷Cs deposition levels associated with the weapons testing fallout and relatively low detector efficiency (35%). In contrast, the precision of the in situ ρ_m determination was only limited by the spatial variability associated with soil sampling.     

Genetic Engineering Approaches to Pig Production*

Modern biotechnology promises a number of new applications in animal breeding and production. Although conventional pig breeding has achieved a high level of efficiency and productivity numerous problems have been encountered with animal health and the loss of meat quality. Selection based on phenotypic performance data of individual animals does not take into account the importance of specific genes and their relevance within a complex regulatory system. In most cases it is therefore difficult to trace back the genetic origins of clinically important disorders. The application of genetic engineering techniques in pig production will facilitate diagnosis, improvement of productivity, and animal health by allowing direct genetic manipulation. Attention must be focussed on the physical and genetic analysis of the procine genome. The isolation and characterisation of genes, DNA-markers, polymorphic DNA-fragments, and their chromosomal assignment will be important prerequisites and tools for the elucidation of genetic disorders. Especially the detection of heterozygous carriers of recessive disorders and their elimination from the breeding stock will increase selection accuracy and decrease the generation intervals. But also the rapid and simple detection of infectious diseases, which is sometimes difficult if not impossible at present, will improve animal health and welfare. Although the production of transgenic animals either by DNA-microinjection into zygotes or the use of embryonal stem cells manipulated in vitro is less straightforward than DNA-based diagnosis it will play an important role in the direct manipulation of the porcine genome and genes. Breeding programmes including the use of transgenic livestock have already been developed. There is no doubt that genetic engineering has reached a degree of practical feasibility, allowing it to play an important role in pig breeding in particular and animal production in general.     

德南牛全基因组变异解析和功能基因挖掘

[目的]研究德南牛的群体遗传结构和解析影响其重要性状的关键基因。[方法]通过主成分分析、群体进化树分析、群体遗传结构分析等方法,研究德南牛的遗传结构和与其他品种的亲缘关系;同时,利用全基因组SNP数据,计算德南牛与德国黄牛、南阳牛群体固定指数(Fst)和核苷酸多样性比值(π ratio)、复合似然比(CLR)、XP-EHH等多种选择信号指标,以筛选出德南牛基因组上受到选择的信号,鉴定出重要的候选基因。[结果] 德南牛具有欧洲普通牛(0.789)、东亚牛(0.176)、中国瘤牛(0.035)的混合血统。在θπ和CLR方法中鉴定出93个共有基因,使用FST和XP-EHH方法鉴定出17个共有基因。进行富集以及基因功能注释后,发现这些基因可能与生殖性能(TUBB3、NSD2、GRM1、ERBB4)、生长性状(RFX3、FGFR3、GABRB1、PDE4D)、环境适应性(PGR、GRIA4)和免疫系统反应(P2RY12、P2RY13、GPR87、P2RY14、GPR171)有关。[结论]本项研究发现德南牛血统受德国黄牛影响较多,且挖掘了德南牛基因组内可能具有经济意义的性状相关的选择特征,为德南牛种群的选育提高提供理论支撑。     

甘孜藏牛mtDNA 基因组遗传多样性分析

［目的］探究甘孜藏牛的mtDNA基因组遗传多样性与母系起源。［方法］采用mtDNA全基因组序列比对及生物信息学方法。［结果］结果显示：在28头甘孜藏牛mtDNA 基因组中,共检测到1232个变异位点,确定了22种单倍型,其单倍型多样度（Hd）为0.98820±0.00010,核苷酸多样度（Pi）为0.02420±0.00003,表明甘孜藏牛具有丰富的母系遗传多样性。系统发育树和网络分布图表明,28头甘孜藏牛mtDNA基因组包括4种母系支系,分别为普通牛的T2、T3与T4支系,还有牦牛支系,其中T2支系占7.14%,T3支系占64.29%,T4支系占3.57%,牦牛支系占25 %。［结论］甘孜藏牛具有较丰富的母系遗传多样性,为普通牛母系起源,但与牦牛有杂交。     

2017-2018年吉林部分地区规模化猪场猪细环病毒的遗传变异分析

为了解猪细环病毒（Torque teno sus virus, TTSuVs）在吉林部分规模化猪场的流行及其遗传变异情况。本研究对2017-2018年间,来自吉林地区10家规模化猪场的574份血清样本进行TTSuVs流行情况调查。并根据收地点,对20株TTSuVs进行ORF1全基因序列扩增及遗传变异性分析。结果显示：TTSuV1感染率为35.0%;TTSuV2感染率为63.2%;TTSuV1与TTSuV2混合感染率为30.3％;10株TTSuV1测序株之间的核苷酸同源性为75.7%-94.7%,氨基酸同源性为48.1%-88.2%;10株TTSuV2测序株之间的核苷酸同源性为77.5%-93.7%,氨基酸同源性为70.6%-87.4%;且吉林地区流行的TTSuV1均属于TTSuV1-lb型,而TTSuV2流行情况较为复杂,各种亚型均有涉及。     

基于线粒体基因的新疆托氏兔遗传多样性和种群遗传结构评价

旨在利用线粒体基因测序方法评价新疆托氏兔的遗传多样性水平,并探究亚种间的遗传结构.本研究通过PCR扩增及测序技术,获得来自新疆北部、西北部以及中东部地区的共计78例新疆托氏兔线粒体DNA的CO1和D-LOOP基因序列,并采用生物信息学的方法进行数据分析.结果 表明,78个新疆托氏兔样本的合并序列共定义了68种单倍型,新...     

山西苹果茎痘病毒遗传多样性分析

苹果茎痘病毒是苹果安全生产的巨大威胁,严重影响苹果产量和质量。探讨苹果茎痘病毒(Apple stem pitting virus, ASPV)在山西省的分布、变异和多样性,可为制定可持续的病毒管理策略提供理论依据。从山西省11个地区采集苹果叶片样品进行RT-PCR检测。结合在线数据库,利用相关软件对文中研究获得的序列进行系统发育、遗传多样性、重组以及种群遗传分化等分析。RT-PCR检测结果显示从山西省11个地区采集的409份苹果叶片样品中,ASPV的检出率为36.33%(临漪)至55.37%(平遥)。选择15个ASPV检测为阳性的样品,分别克隆其CP基因并与22个不同的ASPV分离物进行核苷酸和氨基酸一致性分析,发现37个ASPV分离物的核酸一致率为70.27～96.31%,氨基酸一致率为37.04～96.64%,其中,Shanxi-2与JX673826.1的核酸一致率最高,为90.86%, Shanxi-2与MN617853.1的核酸一致率最低,为70.40%。基于CP的进化树分析结果显示37个ASPV分离物被划分为2个进化群体。遗传多样性分析结果表明ASPV种群发生了收缩,且在两个...     

中国小麦农家品种‘老白麦’抗条锈性遗传分析

小麦条锈病是小麦生产上重要的气传叶部病害。不断发掘和利用新抗源是持续控制条锈病流行危害的重要基础研究工作。‘老白麦’是我国小麦农家品种,对我国当前主要流行小种和致病类型均表现为高抗水平。本研究采用常规杂交分析方法,对‘老白麦’及其与感病品种‘Taichung 29’的杂交后代在成株期和苗期分别接种CYR32号小种和CYR33号小种,进行抗条锈性鉴定和统计分析。结果表明,‘老白麦’对CYR33号小种在苗期和成株期均表现近免疫,其全生育期抗条锈性由1对显性基因控制;对CYR32号小种在成株期表现近免疫,苗期表现高感,成株抗条锈性由1对显性基因控制,属细胞核遗传。研究结果表明‘老白麦’至少含有2对显性抗病基因,分别控制‘老白麦’对CYR33号小种的全生育期抗性和对CYR32号小种的成株抗性。基因推导分析认为‘老白麦’对CYR33的全生育期抗性基因可能为未知新基因。建议在抗病育种中加以有效合理利用,促进小麦品种中抗病基因多样化布局。     

小麦抗源武汉2号和品冬34的抗条锈性遗传分析

为明确小麦品种武汉2号和品冬34对小麦条锈菌流行小种的抗病性及抗病遗传规律,用小麦条锈菌生理小种CYR29、CYR31、CYR32、CYR33以及致病类型Su11-4、Su11-5、Su11-11、PST-Ch42在苗期接种小麦品种武汉2号和品冬34进行抗病性鉴定,并用武汉2号和品冬34分别与感病亲本铭贤169进行杂交,对F₂群体和F_2：3家系在温室进行苗期遗传分析。结果表明：武汉2号对CYR29和CYR32表现感病,对其它小种和致病型均表现抗病,且对CYR31的抗性由1对隐性基因控制;品冬34对所测试的小种和致病类型均表现高抗,且对CYR32的抗性由1对显性基因控制。     

玉蜀黍赤霉有性重组体的诱导及其生物学特性

 本研究以硝酸盐营养缺陷型突变体(nit)和多菌灵抗性为遗传标记,在5个所选菌株中设计了3个玉蜀黍赤霉病菌Gibberella zeae的杂交组合,使各菌株之间进行杂交,从而诱导有性重组体。从各杂交组合的后代中任意挑选出3个有性重组体,比较了这些有性重组体与其亲本在无性和有性阶段的主要生物学性状。结果表明,玉蜀黍赤霉中的nit基因及对杀菌剂多菌灵的抗药性基因可以通过有性杂交的方式重组,即发生了有性重组。有性重组体与其亲本在菌落生长、培养性状和致病性方面没有显著差异;但某些有性重组体中,产孢量和产子囊壳能力方面存在一定差异。总体看来,有性重组体仍然保持了较高的适合度。因此,可以认为有性重组在玉蜀黍赤霉群体对多菌灵抗药性发生发展以及群体遗传进化中可能起着重要的作用。