Gene function prediction from synthetic lethality networks via ranking on demand.

MOTIVATION: Synthetic lethal interactions represent pairs of genes whose individual mutations are not lethal, while the double mutation of both genes does incur lethality. Several studies have shown a correlation between functional similarity of genes and their distances in networks based on synthetic lethal interactions. However, there is a lack of algorithms for predicting gene function from synthetic lethality interaction networks. RESULTS: In this article, we present a novel technique called kernelROD for gene function prediction from synthetic lethal interaction networks based on kernel machines. We apply our novel algorithm to Gene Ontology functional annotation prediction in yeast. Our experiments show that our method leads to improved gene function prediction compared with state-of-the-art competitors and that combining genetic and congruence networks leads to a further improvement in prediction accuracy.

芍药属芍药组的变异与进化：形态、染色体和分子证据

芍药属Paeonia是芍药科Paeoniacea内唯一的一个属。包括大约35个种，间断性的分布于北温带地区。其内三个组分别是牡丹组(sect. Moutan)、北美芍药组(sect. Onaepia)和芍药组(sect. Paeonia)。芍药组是芍药属中最大，也是唯一具有染色体倍性变化的一个组，现有大约25个种。其中，大约半数的种是四倍体（2n＝20），主要分布于地中海地区。虽然有证据表明四倍体类群大多为异源起源，但芍药属内一致的核型、相似的形态和重叠的地理分布使得它们的起源和分类一直存在很大的争议。本研究利用了4个细胞核DNA片段（乙醇脱氢酶基因－Adh1和 Adh2;nrDNA的内转录间隔区－ITS;甘油－3磷酸乙酰转移酶基因－GPAT）和4个叶绿体DNA片段（matK基因;基因间隔区trnL-trnF、psbA-trnH和rps16－trnQ）对芍药组的网状进化进行部分重建。并在此基础上，对推测为杂交起源的P. anomala进行了形态学和细胞发生的研究。主要研究结果如下： 1． 芍药组的系统学 利用多个DNA分子标记(cpDNA: matK, rps16-trnQ; nrDNA: ITS, Adh1, Adh2)，芍药组的二倍体和四倍体类群的系统发育被部分重建。基于最大简约法、贝叶斯法和最大似然法的系统发育分析表明： (a) 除P. tenuifolia之外，所有地中海地区分布的二倍体类群构成一个单系分支。该支与亚洲分布的二倍体类群以及P. tenuifolia成并系关系。 (b) 核和叶绿体DNA系统发育树的不一致，以及ITS、Adh基因的多态性的分析，表明部分二倍体类群间和四倍体类群间都存在杂交事件。这些类群包括：中国新疆阿勒泰地区分布的二倍体种P. anomala和P. intermedia（杂种个体XJ053）;高加索地区分布的二倍体种P. tenuifolia和P. daurica（杂种个体H9933）;土耳其分布的四倍体种P. mascula和P. kesrouanensis（杂交个体在两个居群中检测到）。 (c) 不一致的核和叶绿体DNA系统发育树，以及Adh基因表现出的相同多态性模式进一步支持早先的推测，即四倍体类群P. arietina是异源四倍体。同时扩大的数据分析显示P. obovata近缘类群为其母系亲本，P. tenuifolia近缘类群为其父系亲本。此外，形态上具有一定分化的两个亚种P. arietina ssp. arietina和P. arietina ssp. parnassica是多次起源。 (d) 现今地中海分布类群的近缘种参与了四倍体种P. kesrouanensis 和P. coriacea，以及P. wittmanniana和P. mascula的物种形成。依据Adh序列种内的多态性，初步推测P. kesrouanensis 和P. coriacea可能是异源四倍体，其另一个亲本与P. arietina母系亲本近源。而P. wittmanniana和P. mascula可能是同源四倍体。 (e) P. saueri和P. peregrina的两个亲本类群分别与P. tenuifolia和现今地中海分布二倍体种的近缘类群。 (f) Adh1基因序列中近缘的重组类型暗示：四倍体种P. macrophylla和P. banatica很可能是同倍性杂种。 2． P. anomala的杂交起源和细胞发生 P. anomala新疆阿勒泰地区分布的居群核型第一次被报道。该地区分布的类群核型为2A型(核型公式：2n = 2x = 10 = 6m+2sm+2st)。减数分裂的观察统计显示：阿勒泰地区所有检测个体都是臂内倒位杂合子。基于断片大小以及不同个体染色体桥和/或断片出现率的差异，我们发现该类群臂内倒位存在多态性。荧光原位杂交（FISH）证实P. anomala共有8个18S rDNA位点，并且定位了一个倒位片段在3号染色体的短臂上。此外，高频率的棒状二价体和单价体，以及低的同源染色体的配对系数说明该类群同源染色体间存在分化。染色体结构杂合能够导致部分花粉败育，所有被检测个体的花粉败育率约为8.8 – 29.4%。 扩大的居群取样以及多基因(cpDNA: matK, psbA-trnH, rps16-trnQ, trnL-trnF; nrDNA: ITS, Adh1, Adh2, Gpat)的系统发育分析，进一步支持P. anomala杂交起源于P. veitchii 和P. lactiflora的近缘类群。cpDNA片段和核DNA片段（ITS、GPAT）基因树间的不一致，以及P. anomala Adh1和Adh2序列表现出的多态性都支持该类群杂交起源的推测。不过，表型分析显示P. anomala在形态上偏向于P. veitchii。 3． P. obovata Maxim.四倍体类群的起源 与原先基于形态性状的认识不同，P. obovata 四倍体类群并不是一个严格意义上的同源四倍体。它起源于二倍体P. obovata中国和日本分布的两个地理亚种之间的杂交。Adh2基因仅在中国分布二倍体居群的扩增失败支持这一推测。此外，Adh基因系统发育分析显示：间断性分布于中国中部和中国东北部的四倍体类群是独立起源。

A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series.

Understanding the regulatory mechanisms that are responsible for an organism's response to environmental change is an important issue in molecular biology. A first and important step towards this goal is to detect genes whose expression levels are affected by altered external conditions. A range of methods to test for differential gene expression, both in static as well as in time-course experiments, have been proposed. While these tests answer the question whether a gene is differentially expressed, they do not explicitly address the question when a gene is differentially expressed, although this information may provide insights into the course and causal structure of regulatory programs. In this article, we propose a two-sample test for identifying intervals of differential gene expression in microarray time series. Our approach is based on Gaussian process regression, can deal with arbitrary numbers of replicates, and is robust with respect to outliers. We apply our algorithm to study the response of Arabidopsis thaliana genes to an infection by a fungal pathogen using a microarray time series dataset covering 30,336 gene probes at 24 observed time points. In classification experiments, our test compares favorably with existing methods and provides additional insights into time-dependent differential expression.