An Overview of Geodetic Volcano Research in the Canary Islands

The Canary Islands are mostly characterized by diffuse and scattered volcanism affecting a large area, with only one active stratovolcano, the Teide?Pico Viejo complex (Tenerife). More than 2 million people live and work in the 7,447 km2 of the archipelago, resulting in an average population density three times greater than the rest of Spain. This fact, together with the growth of exposure during the past 40 years, increases volcanic risk with respect previous eruptions, as witnessed during the recent 2011?2012 El Hierro submarine eruption. Therefore, in addition to purely scientific reasons there are economic and population-security reasons for developing and maintaining an efficient volcano monitoring system. In this scenario geodetic monitoring represents an important part of the monitoring system. We describe volcano geodetic monitoring research carried out in the Canary Islands and the results obtained. We consider for each epoch the two main existing constraints: the level of volcanic activity in the archipelago, and the limitations of the techniques available at the time. Theoretical and observational aspects are considered, as well as the implications for operational volcano surveillance. Current challenges of and future perspectives in geodetic volcano monitoring in the Canaries are also presented.

Desarrollo de un modelo de evaluación de ciudades basado en el concepto de ciudad inteligente (Smart city)

La presente tesis tiene por finalidad contribuir al conocimiento de los procesos de transformación de las ciudades convencionales en Ciudades Inteligentes o Smart Cities, el nuevo paradigma urbano, que surge como consecuencia de la utilización de las Tecnologías de la Información y de las Comunicaciones, las TIC, para mejorar la calidad de vida de las personas y aumentar la eficiencia y eficacia de los procesos, servicios e infraestructuras de la ciudad. El proceso de urbanización de la población mundial constituye una de las principales tendencias globales. Los retos a los que se enfrentan las urbes actuales para satisfacer las necesidades de sus habitantes, así como la forma en que cada ciudad aborda dichos retos, propician el desarrollo de estudios comparativos y rankings de ciudades. La oportunidad para llevar a cabo esta tesis deriva de: La novedad del concepto de Ciudad Inteligente. La necesidad de establecer estudios comparativos, respecto a dicho concepto, entre ciudades con características socioeconómicas y culturales comunes, dado que la mayoría de los estudios y rankings se desarrollan para conjuntos de ciudades cuyas características son muy dispares, pues, en general son seleccionadas por su condición de capitales de estados o de centros económicos-financieros. El interés de disponer de estudios sobre ciudades con tamaños de población medianos, inferiores al millón de habitantes, las cuales tienen baja presencia en los estudios comparativos. La inexistencia de estudios comparativos entre las ciudades españolas, en relación con el concepto de Ciudad Inteligente. La existencia de la Red Española de Ciudades Inteligentes, que permite disponer de una muestra de ciudades adecuada, para llevar a cabo un estudio comparativo de acuerdo con los puntos anteriores. El objetivo general de la presente tesis es contribuir al conocimiento de los procesos de transformación de la ciudad convencional en Ciudad Inteligente, a través de la formulación y aplicación de un modelo de evaluación, basado en el concepto holístico de Ciudad Inteligente o Smart City y desde la perspectiva del ciudadano. La metodología de trabajo seguida comprende, en primer lugar, la revisión del estado del arte, centrada en tres aspectos: la evolución del concepto Smart City, los estudios comparativos sobre Ciudades Inteligentes y las medidas que las ciudades españolas están implantando en la práctica para llevar a cabo su transformación en Ciudades Inteligentes. A continuación se lleva a cabo el diseño el modelo de evaluación. Este modelo refleja el carácter holístico del concepto de Ciudad Inteligente, para lo cual, de acuerdo con las definiciones que encontramos en la literatura, evalúa la situación de cada ciudad en relación con seis ejes o pilares, comúnmente aceptados por los diferentes autores: e-Gobierno y e-Gobernanza, Movilidad, Sostenibilidad Ambiental, Desarrollo Económico, Capital Intelectual y Calidad de Vida. El trabajo desarrollado implica un análisis, que se desarrolla de forma ordenada para cada uno de los ejes y, dentro de éstos, para sus correspondientes factores. En total se analizan 18 factores. Para cada uno de los ejes se lleva a cabo una revisión de las iniciativas más representativas para, a continuación, analizar y evaluar los correspondientes los factores. De forma complementaria al desarrollo del trabajo, se llevó a cabo una encuesta, dirigida a profesionales de diferentes áreas y sectores, todos ellos en el ámbito de las Ciudades Inteligentes. El objetivo de la encuesta es conocer, de acuerdo con la opinión de los profesionales, la situación actual en materia de despliegue de Ciudades Inteligentes, las actuaciones que consideran de mayor interés para la ciudad y las barreras del proceso de cambio. Una vez definido el modelo, se ha aplicado a las 62 ciudades que forman la Red Española de Ciudades Inteligentes (RECI), valorando los factores y los ejes para cada una de ellas. Así mismo, se ha analizado la influencia de las tres variables siguientes: tamaño de población, densidad de población y presupuesto municipal por habitante, determinando la relación entre el porcentaje de ciudades inteligentes de la muestra, en cada factor. Adicionalmente en el eje Capital Intelectual,se analizó la influencia del porcentaje de habitantes con estudios superiores. Las 62 ciudades RECI que componen la muestra evaluada, representan el 43 % de las ciudades españolas que cuentan con poblaciones superiores a los 50.000 habitantes. La población que abarca la muestra de ciudades estudiada representa el 35% de la población española. Finalmente, se ha determinado el ranking con las ciudades de RECI, de acuerdo con el modelo diseñado. Así mismo se ha llevado a cabo el análisis de sensibilidad, determinado el ranking resultante para la misma muestra de ciudades, aplicando la ponderación de los factores. Las principales aportaciones de la tesis son: Desarrollar un modelo de evaluación de ciudades basada en el concepto holístico de la Smart City y desde la perspectiva del ciudadano. Desarrollar una metodología de trabajo fundamentada en el análisis sistematizado de las web municipales, como medio para conocer la situación de las ciudades, en lugar de los datos estadísticos publicados, que son la fuente de información habitualmente empleada en los estudios comparativos. Disponer de un estudio comparativo específico de ciudades españolas. Llevar a cabo un estudio sobre una muestra de ciudades de tamaño medio, con características socioeconómicas y culturales comparables. Mejorar el conocimiento de los procesos que se están llevando a cabo en ciudades con poblaciones inferiores al millón de habitantes. The purpose of this thesis is to contribute to the knowledge of the cities and the transformation that is taking part in traditional cities becoming Smart Cities. The Smart City concept is the new urban paradigm that is born from the extensive use of Information Technologies (IT) in order to accomplish better citizen’s quality of life as well as improvements in urban processes, services and infrastructures. Several rankings and benchmarking studies are being conducted globally, in response to the increasing of urban population that is taking part around the world and the subsequent challenges to be confronted by the cities. This thesis aims to contribute to these studies. The opportunity for this thesis comes from: The Smart City concept as a new concept. The need of benchmarking studies focused on the Smart City concept, carried on cities with similar social and economic characteristics. The interest on benchmarking studies on medium size cities (with less than one million inhabitants). The absence of benchmarking studies on Spanish cities. The existence of the Spanish Smart Cities Network that can be considered an appropriate sample for a benchmark study. The main goal of this thesis is to develop a Smart Cities assessment model based on the citizen point of view and taking into account a holistic concept of Smart City. The thesis methodology starts with the state of the art revision, focused on three items: the Smart City concept, the benchmark studies and the projects actually developed by the Spanish cities under processes for becoming Smart Cities. The next step is the assessment model design, in accordance with the six main axes or pillars referred in the academic literature: e-Government and e-Governance, Mobility, Environmental Sustainability, Economic Development, Smart Citizens and Quality of Life. Also, a survey has been conducted and addressed to experts working on the different areas related to the Smart Cities. The aim of this survey is to know their opinion about the deployment of the Smart Cities, the priorities considered by the cities and the barriers that delay the change processes. Once the assessment model was ready, it was applied to the Spanish Smart Cities Network, with 62 member cities. Also, the bearing of three variables: city population, population density and city budget per inhabitant, are studied. The 62 cities studied are 43 % of the Spanish cities with population over 50.000 inhabitants. The population living in these cities is the 35% of total Spanish population. The main contribution of this thesis are: An assessment model for Smart Cities that takes into account the holistic concept of the Smart City as well as the citizen experience. A methodology that comprises municipal web analysis instead of statistics data, which are the usual source of data for current benchmarking studies. A Spanish Smart Cities benchmark. A benchmark on medium size cities with similar social and economic characteristics. A better understanding of the urban processes that are taking part on cities under one million inhabitants.

Metodología para la determinación de los parámetros de planificación de los nodos e infraestructuras logísticas en un territorio, considerando en su planificación el impacto sobre los diferentes componentes territoriales

Esta tesis presenta el diseño y la aplicación de una metodología que permite la determinación de los parámetros para la planificación de nodos e infraestructuras logísticas en un territorio, considerando además el impacto de estas en los diferentes componentes territoriales, así como en el desarrollo poblacional, el desarrollo económico y el medio ambiente, presentando así un avance en la planificación integral del territorio. La Metodología propuesta está basada en Minería de Datos, que permite el descubrimiento de patrones detrás de grandes volúmenes de datos previamente procesados. Las características propias de los datos sobre el territorio y los componentes que lo conforman hacen de los estudios territoriales un campo ideal para la aplicación de algunas de las técnicas de Minería de Datos, tales como los ´arboles decisión y las redes bayesianas. Los árboles de decisión permiten representar y categorizar de forma esquemática una serie de variables de predicción que ayudan al análisis de una variable objetivo. Las redes bayesianas representan en un grafo acíclico dirigido, un modelo probabilístico de variables distribuidas en padres e hijos, y la inferencia estadística que permite determinar la probabilidad de certeza de una hipótesis planteada, es decir, permiten construir modelos de probabilidad conjunta que presentan de manera gráfica las dependencias relevantes en un conjunto de datos. Al igual que con los árboles de decisión, la división del territorio en diferentes unidades administrativas hace de las redes bayesianas una herramienta potencial para definir las características físicas de alguna tipología especifica de infraestructura logística tomando en consideración las características territoriales, poblacionales y económicas del área donde se plantea su desarrollo y las posibles sinergias que se puedan presentar sobre otros nodos e infraestructuras logísticas. El caso de estudio seleccionado para la aplicación de la metodología ha sido la República de Panamá, considerando que este país presenta algunas características singulares, entra las que destacan su alta concentración de población en la Ciudad de Panamá; que a su vez a concentrado la actividad económica del país; su alto porcentaje de zonas protegidas, lo que ha limitado la vertebración del territorio; y el Canal de Panamá y los puertos de contenedores adyacentes al mismo. La metodología se divide en tres fases principales: Fase 1: Determinación del escenario de trabajo 1. Revisión del estado del arte. 2. Determinación y obtención de las variables de estudio. Fase 2: Desarrollo del modelo de inteligencia artificial 3. Construcción de los ´arboles de decisión. 4. Construcción de las redes bayesianas. Fase 3: Conclusiones 5. Determinación de las conclusiones. Con relación al modelo de planificación aplicado al caso de estudio, una vez aplicada la metodología, se estableció un modelo compuesto por 47 variables que definen la planificación logística de Panamá, el resto de variables se definen a partir de estas, es decir, conocidas estas, el resto se definen a través de ellas. Este modelo de planificación establecido a través de la red bayesiana considera los aspectos de una planificación sostenible: económica, social y ambiental; que crean sinergia con la planificación de nodos e infraestructuras logísticas. The thesis presents the design and application of a methodology that allows the determination of parameters for the planning of nodes and logistics infrastructure in a territory, besides considering the impact of these different territorial components, as well as the population growth, economic and environmental development. The proposed methodology is based on Data Mining, which allows the discovery of patterns behind large volumes of previously processed data. The own characteristics of the territorial data makes of territorial studies an ideal field of knowledge for the implementation of some of the Data Mining techniques, such as Decision Trees and Bayesian Networks. Decision trees categorize schematically a series of predictor variables of an analyzed objective variable. Bayesian Networks represent a directed acyclic graph, a probabilistic model of variables divided in fathers and sons, and statistical inference that allow determine the probability of certainty in a hypothesis. The case of study for the application of the methodology is the Republic of Panama. This country has some unique features: a high population density in the Panama City, a concentration of economic activity, a high percentage of protected areas, and the Panama Canal. The methodology is divided into three main phases: Phase 1: definition of the work stage. 1. Review of the State of the art. 2. Determination of the variables. Phase 2: Development of artificial intelligence model 3. Construction of decision trees. 4. Construction of Bayesian Networks. Phase 3: conclusions 5. Determination of the conclusions. The application of the methodology to the case study established a model composed of 47 variables that define the logistics planning for Panama. This model of planning established through the Bayesian network considers aspects of sustainable planning and simulates the synergies between the nodes and logistical infrastructure planning.

Empowerment Evaluation in Spain: The Critical Friend Role in Working with Rural Communities

Rural communities in Cuenca (Spain) are characterized by a great social dislocation, mostly due to the low population density in these areas. In this way, the existence of groups of citizens able to be active agents of their development process is a critical aspect for any community-based development process in this Spanish region. The Institute of Community Development of Cuenca (IDC) has been working with this type of groups for the last 30 years focusing on the organizational empowerment of the rural communities. Main tools in this process have been the empowerment evaluation approach and the critical friend role when helping the groups to achieve their objectives and reinforcing them. This chapter analyses the empowerment process and how the critical friend role is nourished by the facilitator figure.

Selective killing of preneoplastic and neoplastic cells by methotrexate with leucovorin

Three sublines of NIH 3T3 cells had the properties of non-neoplastic, preneoplastic, and neoplastic cells, respectively. The closer the cells were to neoplastic behavior, characterized by continuing growth at high density, the slower they multiplied at lower density. Under the conditions of high population density and low calf serum concentration used in the assay for transformed focus formation, the transformed or neoplastic cells were much more sensitive to killing by methotrexate (MTX) than were non-neoplastic cells in the same culture. This differential sensitivity of neoplastic cells was far more pronounced in molecular, cellular, and developmental biology medium 402 (MCDB 402) than in DMEM. It is associated with the presence in MCDB 402 of folinic acid, known clinically as leucovorin, which is a reduced form of the folic acid present in DMEM. Although leucovorin had been shown to selectively spare normal bone marrow and intestine in animals from the killing effect of MTX on tumor cells, we demonstrate the preferential killing of neoplastic over non-neoplastic cells of the same derivation. Neither neoplastic nor non-neoplastic cells were killed once they had stopped multiplying at their respective saturation densities. The development of the light foci characteristic of the preneoplastic cells was less sensitive to MTX than the formation of the dense foci produced by the fully neoplastic cells. The system should serve as a valuable model to establish basic principles and optimal conditions for selective killing of neoplastic cells by chemotherapeutic drugs.

A negative regulator mediates quorum-sensing control of exopolysaccharide production in Pantoea stewartii subsp. stewartii

Classical quorum-sensing (autoinduction) regulation, as exemplified by the lux system of Vibrio fischeri, requires N-acyl homoserine lactone (AHL) signals to stimulate cognate transcriptional activators for the cell density-dependent expression of specific target gene systems. For Pantoea stewartii subsp. stewartii, a bacterial pathogen of sweet corn and maize, the extracellular polysaccharide (EPS) stewartan is a major virulence factor, and its production is controlled by quorum sensing in a population density-dependent manner. Two genes, esaI and esaR, encode essential regulatory proteins for quorum sensing. EsaI is the AHL signal synthase, and EsaR is the cognate gene regulator. esaI, ΔesaR, and ΔesaI-esaR mutations were constructed to establish the regulatory role of EsaR. We report here that strains containing an esaR mutation produce high levels of EPS independently of cell density and in the absence of the AHL signal. Our data indicate that quorum-sensing regulation in P. s. subsp. stewartii, in contrast to most other described systems, uses EsaR to repress EPS synthesis at low cell density, and that derepression requires micromolar amounts of AHL. In addition, derepressed esaR strains, which synthesize EPS constitutively at low cell densities, were significantly less virulent than the wild-type parent. This finding suggests that quorum sensing in P. s. subsp. stewartii may be a mechanism to delay the expression of EPS during the early stages of infection so that it does not interfere with other mechanisms of pathogenesis.

Directed seed dispersal by bellbirds in a tropical cloud forest

A fundamental goal of plant population ecology is to understand the consequences for plant fitness of seed dispersal by animals. Theories of seed dispersal and tropical forest regeneration suggest that the advantages of seed dispersal for most plants are escape from seed predation near the parent tree and colonization of vacant sites, the locations of which are unpredictable in space and time. Some plants may gain in fitness as a fortuitous consequence of disperser behavior if certain species of dispersers nonrandomly place seeds in sites predictably favorable for seedling establishment. Such patterns of directed dispersal by vertebrates long have been suggested but never demonstrated for tropical forest trees. Here we report the pattern of seed distribution and 1-year seedling survival generated by five species of birds for a neotropical, shade-tolerant tree. Four of the species dispersed seeds to sites near the parent trees with microhabitat characteristics similar to those at random locations, whereas the fifth species, a bellbird, predictably dispersed seeds under song perches in canopy gaps. The pattern of seedling recruitment was bimodal, with a peak near parent trees and a second peak, corresponding to bellbird song perches, far (>40 m) from parent trees. Seedling survival was higher for seeds dispersed by bellbirds than by the other species, because of a reduction in seedling mortality by fungal pathogens in gaps. Thus, bellbirds play a significant role in seed dispersal by providing directed dispersal to favorable sites and therefore may influence plant recruitment patterns and species diversity in Neotropical forests.

Top-down versus bottom-up and the Ruritanian bean bug

In a recent article, Hunter uses the late George Varley and George Gradwell’s long-term data on the winter moth (Operophtera brumata) and green tortrix (Tortrix viridana) populations to propose a method of quantifying the relative importance of top-down effects (because of natural enemies) and bottom-up effects (because of resource competition) in influencing population dynamics. We believe this approach is deeply flawed. Using Varley and Gradwell’s winter moth study, we show that the problems with Hunter’s analysis lie in his misinterpretation of the population dynamics and his inappropriate use of statistical techniques. We also emphasize the importance of distinguishing clearly between two quite different things: firstly, top-down and bottom-up regulation of populations and secondly, the much simpler task of categorizing factors affecting changes in population density as either top-down or bottom-up processes.

Multiple paternity in two natural populations (orchard and vineyard) of Drosophila.

Male mating success is an important fitness component in Drosophila. The seminal fluid conveyed with the sperm inhibits the proclivity of the female to remate and reduces her fitness. Nevertheless, females may remate before they have exhausted the sperm from the first male and consequently use sperm from both males. We have studied concurrent multiple paternity (CMP) in two Drosophila melanogaster populations, from an apple orchard and a vineyard just after harvest. CMP is high in both populations, somewhat greater than 50%; but it is not significantly higher in the vineyard, where the population density is much greater than in the orchard. Population density had been thought to be an important determinant of CMP incidence. We have used four gene loci coding for enzymes as independent markers for detecting CMP.

Comparison of aquatic food chains using nitrogen isotopes.

Recent studies have shown the utility of delta(15)N to model trophic structure and contaminant bioaccumulation in aquatic food webs. However, cross-system comparisons in delta(15)N can be complicated by differences in delta(15)N at the base of the food chain. Such baseline variation in delta(15)N is difficult to resolve using plankton because of the large temporal variability in the delta(15)N of small organisms that have fast nitrogen turnover. Comparisons using large primary consumers, which have stable tissue isotopic signatures because of their slower nitrogen turnover, show that delta(15)N increases markedly with the human population density in the lake watershed. This shift in delta(15)N likely reflects the high delta(15)N of human sewage. Correcting for this baseline variation in delta(15)N, we report that, contrary to expectations based on previous food-web analysis, the food chains leading up to fish varied by about only one trophic level among the 40 lakes studied. Our results also suggest that the delta(15)N signatures of nitrogen at the base of the food chain will provide a useful tool in the assessment of anthropogenic nutrient inputs.

Irreversibility of cellular aging and neoplastic transformation: a clonal analysis.

Prolonged incubation of NIH 3T3 cells under the growth constraint of confluence results in a persistent impairment of proliferation when the cells are subcultured at low density and a greatly increased probability of neoplastic transformation in assays for transformation. These properties, along with the large accumulation of age pigment bodies in the confluent cells, are cardinal cellular characteristics of aging in organisms and validate the system as a model of cellular aging. Two cultures labeled alpha and beta were obtained after prolonged confluence; both were dominated by cells that were both slowed in growth at low population density and enhanced in growth capacity at high density, a marker of neoplastic transformation. An experiment was designed to study the reversibility of these age-related properties by serial subculture at low density of the two uncloned cultures and their progeny clones derived from assuredly single cells. Both uncloned cultures had many transformed cells and a reduced growth rate on subculture. Serial subculture resulted in a gradual increase in growth rates of both populations, but a reversal of transformation only in the alpha population. The clones originating from both populations varied in the degree of growth impairment and neoplastic transformation. None of the alpha clones increased in growth rate on low density passage nor did the transformed clones among them revert to normal growth behavior. The fastest growing beta clone was originally slower than the control clone, but caught up to it after four weekly subcultures. The other beta clones retained their reduced growth rates. Four of the five beta clones, including the fastest grower, were transformed, and none reverted on subculture. We conclude that the apparent reversal of impaired growth and transformation in the uncloned parental alpha population resulted from the selective growth at low density of fast growing nontransformed clones. The reversal of impaired growth in the uncloned parental beta population was also the result of selective growth of fast growing clones, but in this case they were highly transformed so no apparent reversal of transformation occurred. The clonal results indicate that neither the impaired growth nor the neoplastic transformation found in aging cells is reversible. We discuss the possible contribution of epigenetic and genetic processes to these irreversible changes.

A model of self-thinning through local competition.

Explanations of self-thinning in plant populations have focused on plant shape and packing. A dynamic model based on the structure of local interactions successfully reproduces the pattern and can be approximated to identify key parameters and relationships. The approach generates testable new explanations for differences between species and populations, unifies self-thinning with other patterns in plant population dynamics, and indicates why organisms other than plants can follow the law.

Cellular aging, destabilization, and cancer.

Three major characteristics of aging in animals are a slowdown of cell proliferation, an increase in residual bodies associated with age pigments, and a marked increase in the likelihood of neoplastic transformation. The 28 L subline of the NIH 3T3 line of mouse embryo fibroblasts exhibits all these characteristics when held at confluence for extended periods. The impairment of proliferation is the first behavioral characteristic detected in low density subcultures from the confluent cultures, and it persists through many cell generations of exponential multiplication. There is an equal degree of growth impairment among replicate cultures (lineages) recovered after each of 2 successive rounds of confluence, although heterogeneity appears after the third round. The growth impairment pervades the entire cell population of each lineage. The degree and duration of impairment increase with repeated rounds of confluence. A marked increase of residual bodies characteristic of age pigments occurs in the cytoplasm of all the cells kept under prolonged confluence. Neoplastic transformation first appears as foci of multilayered cells on a monolayered background of nontransformed cells. The transformed cells arise at different times in the lineages and originate from a very small fraction of the population. The transformed cells selectively overgrow the entire population in successive rounds of confluence leading to an increase in saturation density of each lineage at different times. Under cloning conditions, isolated colonies of transformed cells develop more slowly than colonies of nontransformed cells but eventually reach a higher population density. The regularity of persistent growth impairment among the lineages and the appearance of large numbers of residual bodies in all the cells of each population are more characteristic of an epigenetic process than of specific local mutations. although random chromosomal lesions cannot be ruled out. By contrast, the low frequency and stochastic character of neoplastic transformation are consistent with a conventional genetic origin. The advent in long-term confluent NIH 3T3 cultures of three cardinal characteristics of cellular aging in vivo recommends it as a model for aging cells.

Parasite abundance and diversity in mammals: correlates with host ecology.

Fecally dispersed parasites of 12 wild mammal species in Mudumalai Sanctuary, southern India, were studied. Fecal propagule densities and parasite diversity measures were correlated with host ecological variables. Host species with higher predatory pressure had lower parasite loads and parasite diversity. Host body weight, home range, population density, gregariousness, and diet did not show predicted effects on parasite loads. Measures of alpha diversity were positively correlated with parasite abundance and were negatively correlated with beta diversity. Based on these data, hypotheses regarding determinants of parasite community are discussed.

Targeted gene inactivation in petunia by PCR-based selection of transposon insertion mutants.

Establishment of loss-of-function phenotypes is often a key step in determining the biological function of a gene. We describe a procedure to obtain mutant petunia plants in which a specific gene with known sequence is inactivated by the transposable element dTph1. Leaves are collected from batches of 1000 plants with highly active dTph1 elements, pooled according to a three-dimensional matrix, and screened by PCR using a transposon- and a gene-specific primer. In this way individual plants with a dTph1 insertion can be identified by analysis of about 30 PCRs. We found insertion alleles for various genes at a frequency of about 1 in 1000 plants. The plant population can be preserved by selfing all the plants, so that it can be screened for insertions in many genes over a prolonged period.