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  • Molecular markers  (5)
  • Male  (3)
  • Marker-assisted selection  (3)
  • 1
    Publication Date: 2015-11-26
    Description: Ancient DNA makes it possible to observe natural selection directly by analysing samples from populations before, during and after adaptation events. Here we report a genome-wide scan for selection using ancient DNA, capitalizing on the largest ancient DNA data set yet assembled: 230 West Eurasians who lived between 6500 and 300 bc, including 163 with newly reported data. The new samples include, to our knowledge, the first genome-wide ancient DNA from Anatolian Neolithic farmers, whose genetic material we obtained by extracting from petrous bones, and who we show were members of the population that was the source of Europe's first farmers. We also report a transect of the steppe region in Samara between 5600 and 300 bc, which allows us to identify admixture into the steppe from at least two external sources. We detect selection at loci associated with diet, pigmentation and immunity, and two independent episodes of selection on height.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mathieson, Iain -- Lazaridis, Iosif -- Rohland, Nadin -- Mallick, Swapan -- Patterson, Nick -- Roodenberg, Songul Alpaslan -- Harney, Eadaoin -- Stewardson, Kristin -- Fernandes, Daniel -- Novak, Mario -- Sirak, Kendra -- Gamba, Cristina -- Jones, Eppie R -- Llamas, Bastien -- Dryomov, Stanislav -- Pickrell, Joseph -- Arsuaga, Juan Luis -- de Castro, Jose Maria Bermudez -- Carbonell, Eudald -- Gerritsen, Fokke -- Khokhlov, Aleksandr -- Kuznetsov, Pavel -- Lozano, Marina -- Meller, Harald -- Mochalov, Oleg -- Moiseyev, Vyacheslav -- Guerra, Manuel A Rojo -- Roodenberg, Jacob -- Verges, Josep Maria -- Krause, Johannes -- Cooper, Alan -- Alt, Kurt W -- Brown, Dorcas -- Anthony, David -- Lalueza-Fox, Carles -- Haak, Wolfgang -- Pinhasi, Ron -- Reich, David -- GM100233/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Dec 24;528(7583):499-503. doi: 10.1038/nature16152. Epub 2015 Nov 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA. ; Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Independent researcher, Santpoort-Noord, The Netherlands. ; School of Archaeology and Earth Institute, Belfield, University College Dublin, Dublin 4, Ireland. ; Institute for Anthropological Research, Zagreb 10000, Croatia. ; Department of Anthropology, Emory University, Atlanta, Georgia 30322, USA. ; Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland. ; Australian Centre for Ancient DNA, School of Biological Sciences &Environment Institute, University of Adelaide, Adelaide, South Australia 5005, Australia. ; Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia. ; Department of Paleolithic Archaeology, Institute of Archaeology and Ethnography, Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia. ; Centro Mixto UCM-ISCIII de Evolucion y Comportamiento Humanos, 28040 Madrid, Spain. ; Departamento de Paleontologia, Facultad Ciencias Geologicas, Universidad Complutense de Madrid, 28040 Madrid, Spain. ; Centro Nacional de Investigacion sobre Evolucion Humana (CENIEH), 09002 Burgos, Spain. ; IPHES. Institut Catala de Paleoecologia Humana i Evolucio Social, Campus Sescelades-URV, 43007 Tarragona, Spain. ; Area de Prehistoria, Universitat Rovira i Virgili (URV), 43002 Tarragona, Spain. ; Netherlands Institute in Turkey, Istiklal Caddesi, Nur-i Ziya Sokak 5, Beyog lu 34433, Istanbul, Turkey. ; Volga State Academy of Social Sciences and Humanities, Samara 443099, Russia. ; State Office for Heritage Management and Archaeology Saxony-Anhalt and State Museum of Prehistory, D-06114 Halle, Germany. ; Peter the Great Museum of Anthropology and Ethnography (Kunstkamera) RAS, St Petersburg 199034, Russia. ; Department of Prehistory and Archaeology, University of Valladolid, 47002 Valladolid, Spain. ; The Netherlands Institute for the Near East, Leiden RA-2300, the Netherlands. ; Max Planck Institute for the Science of Human History, D-07745 Jena, Germany. ; Institute for Archaeological Sciences, University of Tubingen, D-72070 Tubingen, Germany. ; Danube Private University, A-3500 Krems, Austria. ; Institute for Prehistory and Archaeological Science, University of Basel, CH-4003 Basel, Switzerland. ; Anthropology Department, Hartwick College, Oneonta, New York 13820, USA. ; Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), 08003 Barcelona, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26595274" target="_blank"〉PubMed〈/a〉
    Keywords: Agriculture/history ; Asia/ethnology ; Body Height/genetics ; Bone and Bones ; DNA/genetics/isolation & purification ; Diet/history ; Europe/ethnology ; Genetics, Population ; Genome, Human/*genetics ; Haplotypes/genetics ; History, Ancient ; Humans ; Immunity/genetics ; Male ; Multifactorial Inheritance/genetics ; Pigmentation/genetics ; Selection, Genetic/*genetics ; Sequence Analysis, DNA
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 1997-08-22
    Description: It has been suggested that European Middle Pleistocene humans, Neandertals, and prehistoric modern humans had a greater sexual dimorphism than modern humans. Analysis of body size variation and cranial capacity variation in the large sample from the Sima de los Huesos site in Spain showed instead that the sexual dimorphism is comparable in Middle Pleistocene and modern populations.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Arsuaga, J L -- Carretero, J M -- Lorenzo, C -- Gracia, A -- Martinez, I -- Bermudez de Castro, J M -- Carbonell, E -- New York, N.Y. -- Science. 1997 Aug 22;277(5329):1086-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Departamento de Paleontologia, Instituto de Geologia Economica, Facultad de Ciencias Geologicas, Universidad Complutense de Madrid, Ciudad Universitaria 28040 Madrid, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9262474" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Body Constitution ; Female ; *Fossils ; Hominidae/*anatomy & histology ; Humans ; Male ; *Sex Characteristics ; Skull/*anatomy & histology ; Spain
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2016-03-16
    Description: A unique assemblage of 28 hominin individuals, found in Sima de los Huesos in the Sierra de Atapuerca in Spain, has recently been dated to approximately 430,000 years ago. An interesting question is how these Middle Pleistocene hominins were related to those who lived in the Late Pleistocene epoch, in particular to Neanderthals in western Eurasia and to Denisovans, a sister group of Neanderthals so far known only from southern Siberia. While the Sima de los Huesos hominins share some derived morphological features with Neanderthals, the mitochondrial genome retrieved from one individual from Sima de los Huesos is more closely related to the mitochondrial DNA of Denisovans than to that of Neanderthals. However, since the mitochondrial DNA does not reveal the full picture of relationships among populations, we have investigated DNA preservation in several individuals found at Sima de los Huesos. Here we recover nuclear DNA sequences from two specimens, which show that the Sima de los Huesos hominins were related to Neanderthals rather than to Denisovans, indicating that the population divergence between Neanderthals and Denisovans predates 430,000 years ago. A mitochondrial DNA recovered from one of the specimens shares the previously described relationship to Denisovan mitochondrial DNAs, suggesting, among other possibilities, that the mitochondrial DNA gene pool of Neanderthals turned over later in their history.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Meyer, Matthias -- Arsuaga, Juan-Luis -- de Filippo, Cesare -- Nagel, Sarah -- Aximu-Petri, Ayinuer -- Nickel, Birgit -- Martinez, Ignacio -- Gracia, Ana -- Bermudez de Castro, Jose Maria -- Carbonell, Eudald -- Viola, Bence -- Kelso, Janet -- Prufer, Kay -- Paabo, Svante -- England -- Nature. 2016 Mar 24;531(7595):504-7. doi: 10.1038/nature17405. Epub 2016 Mar 14.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany. ; Centro de Investigacion Sobre la Evolucion y Comportamiento Humanos, Universidad Complutense de Madrid-Instituto de Salud Carlos III, 28029 Madrid, Spain. ; Departamento de Paleontologia, Facultad de Ciencias Geologicas, Universidad Complutense de Madrid, 28040 Madrid, Spain. ; Area de Paleontologia, Departamento de Geografia y Geologia, Universidad de Alcala, Alcala de Henares, 28871 Madrid, Spain. ; Centro Nacional de Investigacion sobre la Evolucion Humana, Paseo Sierra de Atapuerca, 09002 Burgos, Spain. ; Institut Catala de Paleoecologia Humana i Evolucio Social, C/Marcel.li Domingo s/n (Edifici W3), Campus Sescelades, 43007 Tarragona, Spain. ; Area de Prehistoria, Departament d'Historia i Historia de l'Art, Universitat Rovira i Virgili, Facultat de Lletres, Avinguda de Catalunya, 35, 43002 Tarragona, Spain. ; Department of Anthropology, University of Toronto, 19 Russell Street, Toronto, Ontario M5S 2S2, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26976447" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Animals ; DNA, Mitochondrial/genetics ; Fossils ; Genome, Mitochondrial/genetics ; Hominidae/classification/*genetics ; Male ; Neanderthals/classification/genetics ; *Phylogeny ; Sequence Alignment ; Spain
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 101 (2000), S. 487-493 
    ISSN: 1432-2242
    Keywords: Key words Fruit breeding ; GxE interaction ; Yield components ; Seedless fruits ; Parthenocarpy ; Molecular markers
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  Amount, regularity and low seed content of the crop are important properties of scion citrus cultivars. The genetic control of these traits was studied in a progeny derived from the cross Citrus volkameriana×Poncirus trifoliata using molecular marker analysis. Since the traits were not normally distributed, the Kruskal-Wallis non-parametric test was used for quantitative trait loci (QTLs) detection. Most of the QTLs detected correspond to the trait ”number of fruits per tree”, in agreement with its known physiological complexity. Related traits (fruit number, fruit size and seed number) are controlled by QTLs some of which are located in the same genomic regions, suggesting that undesired associations could be broken to some degree by recombination. QTL analysis over years revealed important effects of genotype-by-environment interaction on QTL detection. This result agrees with the differences found for the trait means among years, which was found to be related, among other causes, to the alternate bearing of some genotypes and the amount of rain before harvest.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 88 (1994), S. 395-401 
    ISSN: 1432-2242
    Keywords: Salt tolerance ; Lycopersicon ; Yield ; QTLs ; Molecular markers ; MAS ; Epistasis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract A segregating population derived from a cross between L. esculentum cv Madrigal and a line of L. pimpinellifolium was used to identify genetic markers linked to QTLs involved in salinity tolerance in terms of yield, under a conductivity of 15 dS/m (171.1 mM NaCl). Six markers resulted, associated with QTLs affecting average fruit weight, fruit number and total weight under salinity. One of them, Aco-1, behaves reversely to the expectation from parental means; this and other features make it a promising target to obtain salt-tolerant tomatoes. Epistatic interactions were also found, thus affecting the criteria for marker-assisted selection. Although only 41% of the loci assayed were polymorphic, a high efficiency in identifying QTLs was achieved, since 43% of the marker loci are linked to QTLs for the trait under study.
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 93 (1996), S. 765-772 
    ISSN: 1432-2242
    Keywords: Salt tolerance ; Tomato breeding ; Marker-assisted selection ; Molecular markers ; QTL mapping
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The usefulness of marker-assisted selection (MAS) to develop salt-tolerant breeding lines from a F2 derived from L. esculentum x L. pimpinellifolium has been studied. Interval mapping methodology of quantitative trait locus (QTL) analysis was used to locate more precisely previously detected salt tolerance QTLs. A new QTL for total fruit weight under salinity (TW) near TG24 was detected. Most of the detected QTLs [3 for TW, 5 for fruit number, (FN) and 4 for fruit weight (FW)] had low R 2 values, except the FW QTL in the TG180-TG48 interval, which explains 36.6% of the total variance. Dominant and overdominant effects were detected at the QTLs for TW, whereas gene effects at the QTLs for FJV and FW ranged from additive to partial dominance. Phenotypic selection of F2 familes and marker-assisted selection of F3 families were carried out. Yield under salinity decreased in the F2 generation. F3 means were similar to those of the F1 as a consequence of phentoypic selection. The most important selection response for every trait was obtained from the F3 to F4 where MAS was applied. While F3 variation was mainly due to the within-family component, in the F4 the FN and FW between-family component was larger than the within-family one, indicating an efficient compartmentalization and fixation of QTLs into the F4 families. Comparison of the yield of these families under control versus saline conditions showed that fruit weight is a key trait to success in tomato salt-tolerance improvement using wild Lycopersicon germplasm. The QTLs we have detected under salinity seem to be also working under control conditions, although the interaction family x treatment was significant for TW, thereby explaining the fact that the selected families responded differently to salinity.
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  • 7
    ISSN: 1432-2242
    Keywords: Key words CTV resistance ; Molecular markers ; Recombination ; Marker-assisted selection ; Fruit breeding
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  Two segregating populations for citrus tristeza virus (CTV) resistance derived from Poncirus trifoliata var ‘Flying Dragon’ by self-pollination and pollination to Citrus medica L. var ethrog ‘Arizona’ were inoculated with a common CTV isolate. The presence of virus was checked by the Double Antibody Sandwich Enzyme-Linked Assay and Direct Tissue Blot Inmunoassay at 3, 6, and 12 months after inoculation. Seven RAPDs were found linked to the CTV resistance gene by bulked segregant analysis. The closest linked RAPDs were cloned to obtain linked codominant RFLPs and to increase the precision of the genetic distance estimation. The CTV resistance gene seems to be located between cW18 and cK16. Differences in genetic distances among progenies are large and can be explained by genome-wide reduction in the recombination of progeny derived from male versus female gametes.
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 95 (1997), S. 691-695 
    ISSN: 1432-2242
    Keywords: Key words Closterovirus ; Cell-to-cell movement ; Molecular markers ; Marker-assisted selection ; Fruit-tree breeding
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  Citrus tristeza virus (CTV) causes important economic losses in the citrus industry worldwide. Resistance to CTV is present in Poncirus trifoliata and is known to be controlled by a dominant gene at the Ctr locus. Short-distance movement of CTV around the inoculum, as well as passive movement through the phloem vessels, were studied in segregant plants derived by self-pollination from P. trifoliata var. “Flying Dragon” in order to genetically analyze the mechanism of CTV resistance. Accumulation of CTV in the vicinity of the inoculum and in new flushes was studied by means of a direct tissue-blot immunoassay (DTBIA). CTV is able to passively move with the phloematic flux from inoculated resistant genotypes Ctr-Rr and Ctr-RR up to a susceptible scion cultivar (Ctr-rr). Differences regarding CTV accumulation around the inoculum were found among Ctr-Rr individuals of the progeny. Bulked segregant analysis identified five RAPD markers linked to a locus (Ctm), or a genomic region, involved in short-distance accumulation of CTV but located in a different linkage group from Ctr. This result indicates that Ctr is not the only locus responsible for resistance to CTV in P. trifoliata, and that at least one other gene is involved. Given that citrus is a perennial crop, breeding for durable disease resistance should take into account selection at both the Ctr and Ctm loci.
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