畜禽保种－选择指数原理

根据系统保种理论有关保种和选择可以相互结合的观点,本文提出了保种－选择指数的概念、导出了适于各种资料条件和各种保种与选择目的的通用保种－选择指数公式、并探讨了该公式在几种特殊情况下的形式,为国内大量地方品种保种选育提供了必要的理论和方法。     

亏缺灌溉对板蓝根叶片光合生理特性及产量的影响

以北板蓝根(Isatis tinctoria)为研究对象, 于2018年在河西走廊中部干旱绿洲开展水分控制试验, 设轻、中、重度亏水及充分供水4个控水水平, 通过大田试验探究膜下滴灌条件下亏缺灌溉对板蓝根叶片生理指标、灌水量及产量的影响, 为河西地区板蓝根灌溉策略的制定提供理论依据。结果表明, 板蓝根叶片净光合速率(P_n)、蒸腾速率(T_r)和气孔导度(G_s)因营养和肉质根生长期受到亏缺灌溉影响而显著下降, 降幅随亏水程度的加剧而增大, 轻度亏水处理对叶片光合能力的影响不显著, 且在复水之后存在一定的补偿响应; 轻度亏水处理的产量与对照(8 348.91 kg·hm^-2)相比无显著差异, 而其它处理的产量均有不同程度的下降; 灌水量与产量的拟合关系呈二次抛物线, 即产量不随灌水量的增加而升高。因此, 综合分析表明膜下滴灌调亏降低了板蓝根叶片的光合能力, 而营养生长期轻度亏缺灌溉可以节水并提高产量和灌溉效率。     

水稻根系遗传育种研究进展

根系作为水稻(Oryza sativa)植株的重要组成部分, 在水稻生长发育过程中发挥多种作用, 包括植物的固定、水分和营养物质的获取以及氨基酸和激素的生物合成等, 其形态结构和生理功能与水稻产量和稻米品质以及抗性等密切相关。目前, 通过遗传及生化等诸多手段, 已挖掘到较多水稻根系QTLs与控制基因。该文综述了水稻根系QTL和基因的研究进展, 并对未来根系研究进行展望, 以期为进一步克隆水稻根系基因和完善水稻理想株型模型提供参考。     

Multivariate analysis of volatile profiles in tea plant infested by tea green leafhopper Empoasca onukii Matsuda

Plant Growth Regulation - The tea green leafhopper (Empoasca onukii Matsuda) is a severe pest for the tea plant (Camellia sinensis (L.) O. Ktze), which significantly reduces the tea yields and...     

基于高通量测序的闽楠幼林根际土壤丛枝菌根真菌群落变化

【背景】闽楠是珍贵用材树种。阐明闽楠根际土壤微生物特征,对科学经营闽楠人工林有指导作用。【目的】明确闽楠人工林恢复过程中根际土壤丛枝菌根群落随林龄的变化特征。【方法】采用高通量Illumina MiSeq测序的方法,评估不同林龄闽楠幼林根际土壤丛枝菌根真菌(Arbuscular Mycorrhiza Fungi,AMF)群落的多样性和组成,揭示造林后闽楠根际土壤真菌群落对时间序列中土壤养分变化的响应特征。【结果】从3个林龄闽楠根际土壤中共得到342 555条有效序列,共得到253个AMF-OTU,分属于1门1纲5目9科14属。α多样性指数表明,丛枝菌根真菌群落的Chao1、Shannon指数随着林龄的增加而增加,但不同林龄间差异不显著。β多样性指数表明,在闽楠幼龄阶段,不同林龄间AMF群落组成差异明显。根据Bray-Curtis相异度分析阐明AMF群落组成的相似性与林龄相关。种水平物种丰度与土壤因子的相关性分析表明,影响AMF群落丰度的主要土壤因子是pH、全钾、硝态氮和铵态氮。铵态氮与优势AMF分子虚拟种Glomus-Franke-A1-VTX00076、Glomus-Franke-A1-VTX00269的丰度呈显著正相关。【结论】随着林龄的增加,闽楠幼龄根际土壤丛枝菌根真菌的种类组成发生了显著变化,影响AMF特性的主要土壤因子是pH、全钾、硝态氮和铵态氮。这些发现将有助于揭示闽楠幼林生态系统和土壤微生物多样性的相互关系和机制,为生物多样性-生态系统功能实验提供理论依据。     

中国兽类分类与系统演化研究进展

中国兽类（即哺乳动物）种类繁多,对维持生态平衡发挥着重要的作用。自John R.Reeves于1829—1834年在我国广东开展兽类调查以来,近200年我国兽类分类及系统学研究取得了令世人瞩目的进步和发展。目前中国已知的兽类物种数已达686种,约占全世界兽类种数的10%,是世界上兽类物种多样性最丰富的国家之一。随着我国对生态环境保护的重视,生态环境日益改善,但全球气候变化、生境破碎化、人类活动增加及人兽共患重大疫情涌现等问题仍十分突出,兽类多样性调查及分类学研究的必要性越发明显。同时,兽类分类学这门古老而传统的学科也在不断引入各种新方法与技术,如整合分类学、标本数字化、模式标本测序、便携式测序技术及基于深度学习技术的物种识别鉴定等,分类学研究的成果及应用在近年得到了飞速发展。动物分类学作为传统的基础学科,是遗传学、生理学、生态学、医学、药学等现代生物学的基石。然而,由于学科特征和差异等原因,该学科近年来没有得到足够的重视,导致出现了学科萎缩和分类学人才后继无人的危机。因此,从国家层面对分类学、形态学等基础学科的人才培养、课题设置和资金投入等,予以特殊的政策支持,十分必要,也亟待解决。     

Effects of Deficit Irrigation on the Photosynthetic and Physiological Characteristics of Leaves and Yield of Isatis tinctoria

以北板蓝根(Isatis tinctoria)为研究对象, 于2018年在河西走廊中部干旱绿洲开展水分控制试验, 设轻、中、重度亏水及充分供水4个控水水平, 通过大田试验探究膜下滴灌条件下亏缺灌溉对板蓝根叶片生理指标、灌水量及产量的影响, 为河西地区板蓝根灌溉策略的制定提供理论依据。结果表明, 板蓝根叶片净光合速率(P_n)、蒸腾速率(T_r)和气孔导度(G_s)因营养和肉质根生长期受到亏缺灌溉影响而显著下降, 降幅随亏水程度的加剧而增大, 轻度亏水处理对叶片光合能力的影响不显著, 且在复水之后存在一定的补偿响应; 轻度亏水处理的产量与对照(8 348.91 kg·hm^-2)相比无显著差异, 而其它处理的产量均有不同程度的下降; 灌水量与产量的拟合关系呈二次抛物线, 即产量不随灌水量的增加而升高。因此, 综合分析表明膜下滴灌调亏降低了板蓝根叶片的光合能力, 而营养生长期轻度亏缺灌溉可以节水并提高产量和灌溉效率。     

Association of PDE4B Polymorphisms with Susceptibility to Schizophrenia: A Meta-Analysis of Case-Control Studies

Background

The PDE4B single nucleotide polymorphisms (SNPs) have been reported to be associated with schizophrenia risk. However, current findings are ambiguous or even conflicting. To better facilitate the understanding the genetic role played by PDE4B in susceptibility to schizophrenia, we collected currently available data and conducted this meta-analysis.

Methods

A comprehensive electronic literature searching of PubMed, Embase, Web of Science and Cochrane Library was performed. The association between PDE4B SNPs and schizophrenia was evaluated by odds ratios (ORs) and 95% confidence intervals (CIs) under allelic, dominant and recessive genetic models. The random effects model was utilized when high between-study heterogeneity (I² > 50%) existed, otherwise the fixed effects model was used.

Results

Five studies comprising 2376 schizophrenia patients and 3093 controls were finally included for meta-analysis. The rs1040716 was statistically significantly associated with schizophrenia risk in Asian and Caucasian populations under dominant model (OR = 0.87, 95% CI: 0.76–0.99, P = 0.04). The rs2180335 was significantly related with schizophrenia risk in Asian populations under allelic (OR = 0.82, 95% CI: 0.72–0.93, P = 0.003) and dominant (OR = 0.75, 95% CI: 0.64–0.88, P < 0.001) models. A significant association was also observed between rs4320761 and schizophrenia in Asian populations under allelic model (OR = 0.87, 95% CI: 0.75–1.00, P = 0.048). In addition, a strong association tendency was found between rs6588190 and schizophrenia in Asian populations under allelic model (OR = 0.87, 95% CI: 0.76–1.00, P = 0.055).

Conclusion

This meta-analysis suggests that PDE4B SNPs are genetically associated with susceptibility to schizophrenia. However, due to limited sample size, more large-scale, multi-racial association studies are needed to further clarify the genetic association between various PDE4B variants and schizophrenia.     

Yersinia spp. Identification Using Copy Diversity in the Chromosomal 16S rRNA Gene Sequence

API 20E strip test, the standard for Enterobacteriaceae identification, is not sufficient to discriminate some Yersinia species for some unstable biochemical reactions and the same biochemical profile presented in some species, e.g. Yersinia ferderiksenii and Yersinia intermedia, which need a variety of molecular biology methods as auxiliaries for identification. The 16S rRNA gene is considered a valuable tool for assigning bacterial strains to species. However, the resolution of the 16S rRNA gene may be insufficient for discrimination because of the high similarity of sequences between some species and heterogeneity within copies at the intra-genomic level. In this study, for each strain we randomly selected five 16S rRNA gene clones from 768 Yersinia strains, and collected 3,840 sequences of the 16S rRNA gene from 10 species, which were divided into 439 patterns. The similarity among the five clones of 16S rRNA gene is over 99% for most strains. Identical sequences were found in strains of different species. A phylogenetic tree was constructed using the five 16S rRNA gene sequences for each strain where the phylogenetic classifications are consistent with biochemical tests; and species that are difficult to identify by biochemical phenotype can be differentiated. Most Yersinia strains form distinct groups within each species. However Yersinia kristensenii, a heterogeneous species, clusters with some Yersinia enterocolitica and Yersinia ferderiksenii/intermedia strains, while not affecting the overall efficiency of this species classification. In conclusion, through analysis derived from integrated information from multiple 16S rRNA gene sequences, the discrimination ability of Yersinia species is improved using our method.