苦豆子表型性状多样性分析及综合评价

该研究以自然分布的内蒙、宁夏、甘肃、新疆、陕西等23个不同地理来源(种源)的野生苦豆子种子及其播种于内蒙古鄂托克前旗同质园内的当年生植株为材料,采用方差分析、主成分分析、聚类分析等方法对种子长、宽、千粒重以及植株的叶长、叶宽、叶面积、叶形指数、苗高、地径及生物量等10个表型性状的多样性进行了研究。结果表明:各个表型性状种源间均呈极显著差异,其中种子表型性状的变异系数为5.24%,植株表型性状的变异系数为18.34%,表明种子性状的稳定性高于植株性状。同时,10个性状的表型分化系数均高于70%,说明苦豆子表型多样性主要来源于种源间的表型变异;各种源苦豆子种子性状的表型分化系数均值高达97.55%,且种长、千粒重分别与采集地经度、纬度和海拔等环境因子呈极显著相关性,说明种子表型性状受环境因素的影响较大;相关性分析显示,苦豆子植株性状叶长(LL)、叶面积(LA)分别与种子性状千粒重(TW)、种长(SL)和种宽(SW)有显著相关性,暗示表型性状中的可遗传变异影响;利用主成分和聚类分析对23个种源苦豆子进行综合评价,筛选出生物量较大、苗高较高、千粒重较重、叶面积较大等综合表现较好的6个种源,共分为两类,分别是DK、JY、WY、WH、ETK和YN,这为苦豆子种质资源定向开发以及选育和栽培提供了一定的理论支撑和基础材料。     

不同产地苦楝苗期生长节律研究

苦楝在我国分布广泛,具有丰富的遗传变异性。为进一步做好苦楝种源筛选和良种选育工作,该文对不同产地苦楝实生苗生长性状和各阶段的生长特点进行了比较分析,初步揭示了苦楝苗期生长规律。以15个产地的1年生实生苗为试材,对苗高、地径、复叶生长及生物量积累等生长性状进行了观测分析,并用Logistics方程对生长节律进行了拟合。结果表明:(1)不同产地苦楝苗高、地径生长差异均达显著水平,根生物量、茎生物量及复叶相关性状差异均达极显著性水平;(2)苗高和地径生长均呈现慢-快-慢的S型生长规律,且均存在2次生长高峰,与苗高生长高峰出现时间相比,地径生长高峰出现时间较晚;(3)Logistic拟合方程的R²为0.976～0.994,均达到极显著相关水平,说明可用Logistic方程拟合苦楝的生长节律;(4)总体上地径速生期较苗高速生期长20～30 d,北方产地苗高和地径进入速生期和结束速生期的时间均早于南方产地,速生期苗高和地径累积生长量均超过总生长量的60%;(5)各生长指标均与纬度负相关,苗高、生物量及复叶面积与经度正相关,其他指标与经度负相关。综上结果表明,苦楝为全期生长型树种,各生长性状在产地间达显著差异水平,生长受纬度和经度双重控制,以纬度控制为主。     

Sequence and expression analysis of the gene encoding inducible cAMP early repressor in tilapia

Suppression subtractive hybridization library was generated by comparison of cDNA populations isolated from peripheral leukocytes of pre- and post-immunized tilapia. One cDNA sequence encoding complete inducible cAMP early repressor was obtained from the library. The sequence was characterized by the presence of the basic structure of ICER IIγ. Expression of ICER was in the tissues of four types of tilapia was decreased after infection with Streptococcus. After immunization, expression of ICER was initially decreased and then increased after 7 days. In addition, the order for the overall expression of ICER gene after infection and the increases of ICER expression later after immunization in these four types of tilapia was positively correlated to the disease resistance and productivity of these four species of tilapia. Our results provided molecular mechanisms for the different disease resistance capability in different species of tilapia. In addition, our results also provided reference molecular marker for breeding disease resistant tilapia, cAMP responsive element modulator.     

军都山古代人群牙齿磨耗及其饮食

以军都山墓地为代表的"玉皇庙文化"系中国北方青铜时代的一支具有鲜明地方特色的少数部族文化。本文对军都山墓地出土人骨牙齿标本作牙齿磨耗状况分析,试图为其饮食结构和社会经济形态的探讨提供线索。结果显示:军都山古代人群中,相同年龄组的男女两性牙齿磨耗差异不大;前部牙齿磨耗轻于后部臼齿,第一臼齿磨耗最重;臼齿磨耗样式大多呈现"正常平匀"式,臼齿磨耗角度大多较小,两者均随年龄而变化但没有显著的性别差异。经与其他样本组的对比认为军都山古代人群牙齿磨耗的特点可能与其社会经济农牧兼营的性质有关,推测动物性食物(肉食)可能在军都山古代人群主要饮食结构中占据重要比例,并包含有一定的农业经济成分。不同游牧人群牙齿磨耗程度差异较大,只有结合了磨耗形态及其他信息才有可能更切实地反映其饮食状况。     

Genetic Linkage Map Construction and QTL Mapping of Salt Tolerance Traits in Zoysiagrass (Zoysia japonica)

Zoysiagrass (Zoysia Willd.) is an important warm season turfgrass that is grown in many parts of the world. Salt tolerance is an important trait in zoysiagrass breeding programs. In this study, a genetic linkage map was constructed using sequence-related amplified polymorphism markers and random amplified polymorphic DNA markers based on an F₁ population comprising 120 progeny derived from a cross between Zoysia japonica Z105 (salt-tolerant accession) and Z061 (salt-sensitive accession). The linkage map covered 1211 cM with an average marker distance of 5.0 cM and contained 24 linkage groups with 242 marker loci (217 sequence-related amplified polymorphism markers and 25 random amplified polymorphic DNA markers). Quantitative trait loci affecting the salt tolerance of zoysiagrass were identified using the constructed genetic linkage map. Two significant quantitative trait loci (qLF-1 and qLF-2) for leaf firing percentage were detected; qLF-1 at 36.3 cM on linkage group LG4 with a logarithm of odds value of 3.27, which explained 13.1% of the total variation of leaf firing and qLF-2 at 42.3 cM on LG5 with a logarithm of odds value of 2.88, which explained 29.7% of the total variation of leaf firing. A significant quantitative trait locus (qSCW-1) for reduced percentage of dry shoot clipping weight was detected at 44.1 cM on LG5 with a logarithm of odds value of 4.0, which explained 65.6% of the total variation. This study provides important information for further functional analysis of salt-tolerance genes in zoysiagrass. Molecular markers linked with quantitative trait loci for salt tolerance will be useful in zoysiagrass breeding programs using marker-assisted selection.     

Identification of a specific domain responsible for JNK2alpha2 autophosphorylation

c-Jun N-terminal kinases (JNKs) are a group of mitogen-activated protein kinase family members that are important in regulating cell growth, proliferation, and apoptosis. Activation of the JNK pathway has been implicated in the formation of several human tumors. We have previously demonstrated that a 55-kDa JNK isoform is constitutively activated in 86% of human brain tumors and more recently demonstrated that this isoform is either JNK2alpha2 or JNK2beta2. Importantly, we have also found that among the 10 known JNK isoforms, the JNK2 isoforms are unique in their ability to autophosphorylate in vitro and in vivo. This does not require the participation of any upstream kinases and also leads to substrate kinase activity in vitro and in vivo. To clarify the mechanism of JNK2alpha2 autoactivation, we have generated a series of chimeric cDNAs joining portions of JNK1alpha2, which does not have detectable autophosphorylation activity, with portions of JNK2alpha2, which has the strongest autophosphorylation activity. Through in vivo and in vitro kinase assays, we were able to define a domain ranging from amino acids 218 to 226 within JNK2alpha2 that is required for its autophosphorylation. Mutation of JNK2alpha2 to its counterpart of JNK1alpha2 in this region abrogated the autophosphorylation activity and c-Jun substrate kinase activity in vivo and in vitro. Notably, switching of JNK1alpha2 to JNK2alpha2 at this 9-amino acid site enabled JNK1alpha2 to gain the autophosphorylation activity in vivo and in vitro. We also found two other functional sites that participate in JNK2alpha2 activity. One site ranging from amino acids 363 to 382 of JNK2alpha2 is required for efficient c-Jun binding in vitro, and a site ranging from amino acids 383 to 424 enhances autophosphorylation intensity, although it is not required for triggering the autophosphorylation in vitro. These findings have uncovered the regions required for JNK2alpha2 autophosphorylation, and this information could be used as potential targets to block JNK2alpha2 activation.     

Predicting enhancers with deep convolutional neural networks

Background

With the rapid development of deep sequencing techniques in the recent years, enhancers have been systematically identified in such projects as FANTOM and ENCODE, forming genome-wide landscapes in a series of human cell lines. Nevertheless, experimental approaches are still costly and time consuming for large scale identification of enhancers across a variety of tissues under different disease status, making computational identification of enhancers indispensable.

Results

To facilitate the identification of enhancers, we propose a computational framework, named DeepEnhancer, to distinguish enhancers from background genomic sequences. Our method purely relies on DNA sequences to predict enhancers in an end-to-end manner by using a deep convolutional neural network (CNN). We train our deep learning model on permissive enhancers and then adopt a transfer learning strategy to fine-tune the model on enhancers specific to a cell line. Results demonstrate the effectiveness and efficiency of our method in the classification of enhancers against random sequences, exhibiting advantages of deep learning over traditional sequence-based classifiers. We then construct a variety of neural networks with different architectures and show the usefulness of such techniques as max-pooling and batch normalization in our method. To gain the interpretability of our approach, we further visualize convolutional kernels as sequence logos and successfully identify similar motifs in the JASPAR database.

Conclusions

DeepEnhancer enables the identification of novel enhancers using only DNA sequences via a highly accurate deep learning model. The proposed computational framework can also be applied to similar problems, thereby prompting the use of machine learning methods in life sciences.

     

Synthesis and luminescence of novel near‐infrared emitting BaZrSi3O9:Cr3+ phosphors

The BaZrSi₃O₉:Cr³⁺ phosphors were prepared by a high temperature solid state method. Their structures were confirmed with XRD and their luminescence properties were investigated. Under excitation at 455 nm, BaZrSi₃O₉:Cr³⁺ phosphors exhibited a broad near infrared emission band peaked at 800 nm, which was assigned to the ⁴T₂→⁴A₂ transition of Cr³⁺. The near infrared emission intensity reached a maximum at Cr³⁺ concentration of 0.7%. There was a concentration quenching phenomenon of Cr³⁺ in BaZrSi₃O₉ matrix and the corresponding concentration quenching mechanism was investigated. With efficient near infrared emission in the range of 700–1000 nm, BaZrSi₃O₉:Cr³⁺ phosphors may find applications in solar energy conversion.