木根麦冬rRNA基因进化的研究

木根麦冬（Ophiopogon xylorrhizus Wang et Dai）属于铃兰科（Convallariaceae）或广义百合科（Liliaceae s.l.）沿阶草族（Ophiopogoneae）沿阶草属（Ophiopogon Ker-Gawl.），属于典型的濒危植物。前人已从细胞学、种群生态学、生殖生物学和遗传结构与多样性等方面对木根麦冬进行了研究，但在分子进化和分子细胞遗传学水平上的研究近为空白。本文运用染色体的荧光原位杂交(FISH)、PCR扩增和克隆、DNA测序、系统发育重建等方法，对18S rDNA作了染色体原位定位，研究了木根麦冬的Ss rRNA基因结构特点，并重建了该基因的系统发育树，探讨了5S rRNA多基因家族的分子进化模式和木根麦冬的濒危机制。主要结果如下： 1．对木根麦冬三个居群七个个体、及其最近姐妹种林生麦冬（Ophiopogon svlvicola Wang et Tang）一个个体的5S rRNA基因进行了PCR扩增和TA克隆，在两个种中共得到1085个具有插入片段的阳性克隆。 2．对木根麦冬三个居群六个个体的294个SS rRNA基因克隆，及林生麦冬一个个体的45个克隆，总计339个克隆进行了DNA序列测定，这是目前已完成的最大的单个物种的5S rRNA数据。结果表明：两个种的序列高度多样化，在339个拷贝中仅仅有13对(3.8%)是相同的，序列长度变化在307bp-548bp之间，长度变异主要发生在间隔区，单个碱基的插入和缺失(indel)频率很高，5bp以上片段的插入，缺失有11个，插入的序列通常是其两侧序列的重复和倒位。术根麦冬序列的分化指数（sequence differentiation index，SDI）是0.078，林生麦冬是0.032，两个物种间是0.149，木根麦冬的序列之间的分化明显大于林生麦冬。 3．以PAUP程序对339个5S rRNA基因拷贝的DNA序列（包括编码区和间隔区）作了系统发育分析，结果如下：在得到一个唯一的最俭约树中，所有木根麦冬的拷贝被聚成一支，而林生麦冬的则被聚到另一支，统计支持率(bootstrap)达到lOO%，表明这两个物种所有的的5S rRNA基因拷贝分别来自各自的一个祖先拷贝（建立者拷贝），而其共同祖先的其它拷贝则在物种形成中或之后丢失：在多基因家族中如此长期而单一的拷贝偏选( sorting)过程尚未有前人报道;由此基因系统发育树可以看出，在这两个物种形成之后，“建立者拷贝”经历了多次扩增过程而形成了一个直系的（orthologous）多基因家族。 4．在木根麦冬分支中，很少有亚分支是全部由一个居群或一个个体的拷贝组成的，不同居群、不同个体的拷贝混合在同一个亚分支中;对基因系统发育树、序列多样性和序列分化指数分析表明，5S rRNA基因家族内一致化（homogeruzation）过程很弱，不同拷贝是独立进化的，这在串联．重复的多拷贝基因家族中是不寻常的;由上述分析我们推测，在术根麦冬的进化历史上，居群间的基因交流远远比今天频繁，可能是某些外在因素在近期发生变化，导致自交和自交衰退，并进而导致濒危。 5．利用荧光原位杂交技术，成功地将18S rRNA基因定位在木根麦冬减数分裂期的染色体上，两对强信号和一对弱信号分别位于三对二价体染色体上。

Prediction of mesophotic coral distributions in the Au‘au Channel, Hawaii

The primary objective of this study was to predict the distribution of mesophotic hard corals in the Au‘au Channel in the Main Hawaiian Islands (MHI). Mesophotic hard corals are light-dependent corals adapted to the low light conditions at approximately 30 to 150 m in depth. Several physical factors potentially influence their spatial distribution, including aragonite saturation, alkalinity, pH, currents, water temperature, hard substrate availability and the availability of light at depth. Mesophotic corals and mesophotic coral ecosystems (MCEs) have increasingly been the subject of scientific study because they are being threatened by a growing number of anthropogenic stressors. They are the focus of this spatial modeling effort because the Hawaiian Islands Humpback Whale National Marine Sanctuary (HIHWNMS) is exploring the expansion of its scope—beyond the protection of the North Pacific Humpback Whale (Megaptera novaeangliae)—to include the conservation and management of these ecosystem components. The present study helps to address this need by examining the distribution of mesophotic corals in the Au‘au Channel region. This area is located between the islands of Maui, Lanai, Molokai and Kahoolawe, and includes parts of the Kealaikahiki, Alalākeiki and Kalohi Channels. It is unique, not only in terms of its geology, but also in terms of its physical oceanography and local weather patterns. Several physical conditions make it an ideal place for mesophotic hard corals, including consistently good water quality and clarity because it is flushed by tidal currents semi-diurnally; it has low amounts of rainfall and sediment run-off from the nearby land; and it is largely protected from seasonally strong wind and wave energy. Combined, these oceanographic and weather conditions create patches of comparatively warm, calm, clear waters that remain relatively stable through time. Freely available Maximum Entropy modeling software (MaxEnt 3.3.3e) was used to create four separate maps of predicted habitat suitability for: (1) all mesophotic hard corals combined, (2) Leptoseris, (3) Montipora and (4) Porites genera. MaxEnt works by analyzing the distribution of environmental variables where species are present, so it can find other areas that meet all of the same environmental constraints. Several steps (Figure 0.1) were required to produce and validate four ensemble predictive models (i.e., models with 10 replicates each). Approximately 2,000 georeferenced records containing information about mesophotic coral occurrence and 34 environmental predictors describing the seafloor’s depth, vertical structure, available light, surface temperature, currents and distance from shoreline at three spatial scales were used to train MaxEnt. Fifty percent of the 1,989 records were randomly chosen and set aside to assess each model replicate’s performance using Receiver Operating Characteristic (ROC), Area Under the Curve (AUC) values. An additional 1,646 records were also randomly chosen and set aside to independently assess the predictive accuracy of the four ensemble models. Suitability thresholds for these models (denoting where corals were predicted to be present/absent) were chosen by finding where the maximum number of correctly predicted presence and absence records intersected on each ROC curve. Permutation importance and jackknife analysis were used to quantify the contribution of each environmental variable to the four ensemble models.

Nueva especie del género Mugil (Pisces: Mugilidae) de aguas cubanas.

A new species of mullet (Mugil) from Nipe Bay. North coast of Oriente Province, Cuba. The absence of axillary scale of pectoral fins, a very slender body and a notably elongated caudal peduncle are among the most diagnostic features of a new species.

A new growth model for red drum (Sciaenops ocellatus) that accommodates seasonal and ontogenic changes in growth rates

The red drum (Sciaenops ocellatus) is a popular gamefish found throughout the coastal waters of the Gulf of Mexico and along the eastern seaboard as far north as Massachusetts. Juvenile red drum grow extremely rapidly, especially during the warmer months, but adults grow very little. In fact, the change in growth with age is so abrupt that the standard von Bertalanffy curve has proven inadequate— the predicted lengths of younger fish are generally too large and the predicted lengths of older fish too small (see Beckman et al., 1988; Murphy and Taylor, 1990).