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  • Animals  (5)
  • water quality  (4)
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  • 1
    ISSN: 1420-9055
    Keywords: Benthos ; index ; invertebrates ; rivers ; Switzerland ; water quality
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Water quality was estimated from 205 samples of benthic invertebrates collected between 1982 and 1986 in 51 rivers of western Switzerland (canton of Vaud). Each sample consisted of the combined list of taxa resulting from one spring sample pooled with one summer sample. Water quality was indicated by total number of taxa and number of taxa intolerant of pollution: i. e. Heptageniidae, Plecoptera, and Trichoptera with a case. Six classes of values were delimited for each of these two variables by cluster analysis. Values from zero to five were attributed to each class. The index of water quality was computed by adding these two values in each sample. According to this index, good water quality was indicated by 42% of samples. This index can be adapted to other rivers because its components are easily modified.
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  • 2
    ISSN: 1420-9055
    Keywords: benthos ; biodiversity ; biomonitoring ; empirical relationships ; rivers ; water quality
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The relationships between the diversity of invertebrate communities and the altitude of sampling sites were analysed in 438 benthic samples, collected between 1982 and 1991, in 56 rivers of western Switzerland. Diversity, estimated from total number of taxa (genus or family) and from number of taxa intolerant of pollution, was positively correlated with increasing altitude. In contrast, density of human population and the level of organic pollution were negatively correlated with increasing altitude. Therefore, the upstream increase of invertebrate diversity was attributed to the decrease of human population which is the main source of organic pollution. In this study, altitude was used, instead of organic pollution, to predict diversity. Empirical relationships between diversity and altitude were applied to surveys of water quality to describe the general altitudinal pattern characteristic for each region and to single out anomalous sites and rivers. In addition, changes in the altitudinal patterns of diversity can be used to monitor the recovery of rivers from pollution.
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Aquatic sciences 57 (1995), S. 172-180 
    ISSN: 1420-9055
    Keywords: Benthos ; environmental quality ; index ; invertebrates ; river ; water quality
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract A total of 1424 samples of benthic invertebrates, collected in 56 rivers of western Switzerland (canton of Vaud), was used to improve the RIVAUD (Rivers of Vaud) index of environmental quality. This index, described for the first time in 1989, was based on total number of taxa and on number of taxa intolerant of pollution (Plecoptera, Heptageniidae, and Trichoptera with a case). The 1995 version of RIVAUD, called RIVAUD 95, presented a larger range of values (0–20) than the previous one (0–10), to describe more precisely the variations of environmental quality. According to RIVAUD 95, the environmental quality of Swiss rivers increased with the altitude of sampling sites because anthropogenic impacts decreased along the same gradient. This altitudinal pattern was used to define classes of environmental quality which can be adapted to the rivers of other regions.
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  • 4
    Publication Date: 2003-10-04
    Description: Analysis of the human and mouse genomes identified an abundance of conserved non-genic sequences (CNGs). The significance and evolutionary depth of their conservation remain unanswered. We have quantified levels and patterns of conservation of 191 CNGs of human chromosome 21 in 14 mammalian species. We found that CNGs are significantly more conserved than protein-coding genes and noncoding RNAS (ncRNAs) within the mammalian class from primates to monotremes to marsupials. The pattern of substitutions in CNGs differed from that seen in protein-coding and ncRNA genes and resembled that of protein-binding regions. About 0.3% to 1% of the human genome corresponds to a previously unknown class of extremely constrained CNGs shared among mammals.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dermitzakis, Emmanouil T -- Reymond, Alexandre -- Scamuffa, Nathalie -- Ucla, Catherine -- Kirkness, Ewen -- Rossier, Colette -- Antonarakis, Stylianos E -- New York, N.Y. -- Science. 2003 Nov 7;302(5647):1033-5. Epub 2003 Oct 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Medical Genetics and National Center of Competence in Research (NCCR) Frontiers in Genetics, University of Geneva Medical School and University Hospitals, 1211 Geneva, Switzerland. Emmanouil.Dermitzakis@medecine.unige.ch〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14526086" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; Chromosomes, Human, Pair 21/*genetics ; Chromosomes, Mammalian/*genetics ; *Conserved Sequence ; DNA, Intergenic/*genetics ; Discriminant Analysis ; *Evolution, Molecular ; Female ; Genetic Code ; Genome ; Humans ; Male ; Mammals/*genetics ; Molecular Sequence Data ; Polymerase Chain Reaction ; Proteins/genetics ; RNA, Untranslated/genetics ; Selection, Genetic ; Sequence Alignment ; Species Specificity ; Time ; Transcription, Genetic
    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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  • 5
    Publication Date: 1998-11-30
    Description: The NPH1 gene of Arabidopsis thaliana encodes a 120-kilodalton serine-threonine protein kinase hypothesized to function as a photoreceptor for phototropism. When expressed in insect cells, the NPH1 protein is phosphorylated in response to blue light irradiation. The biochemical and photochemical properties of the photosensitive protein reflect those of the native protein in microsomal membranes. Recombinant NPH1 noncovalently binds flavin mononucleotide, a likely chromophore for light-dependent autophosphorylation. The fluorescence excitation spectrum of the recombinant protein is similar to the action spectrum for phototropism, consistent with the conclusion that NPH1 is an autophosphorylating flavoprotein photoreceptor mediating phototropic responses in higher plants.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Christie, J M -- Reymond, P -- Powell, G K -- Bernasconi, P -- Raibekas, A A -- Liscum, E -- Briggs, W R -- New York, N.Y. -- Science. 1998 Nov 27;282(5394):1698-701.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Plant Biology, Carnegie Institution of Washington, 260 Panama Street, Stanford, CA 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9831559" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Arabidopsis/genetics/*physiology ; *Arabidopsis Proteins ; Cell Line ; Cryptochromes ; *Drosophila Proteins ; *Eye Proteins ; Flavin Mononucleotide/metabolism ; Flavoproteins/physiology ; Genes, Plant ; Light ; Mutation ; Phosphoproteins/genetics/*metabolism ; Phosphorylation ; *Photoreceptor Cells, Invertebrate ; *Phototropism ; Protein-Serine-Threonine Kinases/genetics/*metabolism ; Receptors, G-Protein-Coupled ; Recombinant Proteins/metabolism ; Spectrometry, Fluorescence ; Spodoptera ; Transfection
    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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  • 6
    Publication Date: 2012-05-19
    Description: Copy number variants (CNVs) are major contributors to genetic disorders. We have dissected a region of the 16p11.2 chromosome--which encompasses 29 genes--that confers susceptibility to neurocognitive defects when deleted or duplicated. Overexpression of each human transcript in zebrafish embryos identified KCTD13 as the sole message capable of inducing the microcephaly phenotype associated with the 16p11.2 duplication, whereas suppression of the same locus yielded the macrocephalic phenotype associated with the 16p11.2 deletion, capturing the mirror phenotypes of humans. Analyses of zebrafish and mouse embryos suggest that microcephaly is caused by decreased proliferation of neuronal progenitors with concomitant increase in apoptosis in the developing brain, whereas macrocephaly arises by increased proliferation and no changes in apoptosis. A role for KCTD13 dosage changes is consistent with autism in both a recently reported family with a reduced 16p11.2 deletion and a subject reported here with a complex 16p11.2 rearrangement involving de novo structural alteration of KCTD13. Our data suggest that KCTD13 is a major driver for the neurodevelopmental phenotypes associated with the 16p11.2 CNV, reinforce the idea that one or a small number of transcripts within a CNV can underpin clinical phenotypes, and offer an efficient route to identifying dosage-sensitive loci.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3366115/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3366115/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Golzio, Christelle -- Willer, Jason -- Talkowski, Michael E -- Oh, Edwin C -- Taniguchi, Yu -- Jacquemont, Sebastien -- Reymond, Alexandre -- Sun, Mei -- Sawa, Akira -- Gusella, James F -- Kamiya, Atsushi -- Beckmann, Jacques S -- Katsanis, Nicholas -- F32MH087123/MH/NIMH NIH HHS/ -- HD06286/HD/NICHD NIH HHS/ -- MH-084018/MH/NIMH NIH HHS/ -- MH-091230/MH/NIMH NIH HHS/ -- P50 MH094268/MH/NIMH NIH HHS/ -- P50 MH094268-02/MH/NIMH NIH HHS/ -- R01 MH091230/MH/NIMH NIH HHS/ -- R01 MH092443/MH/NIMH NIH HHS/ -- England -- Nature. 2012 May 16;485(7398):363-7. doi: 10.1038/nature11091.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Human Disease Modeling and Department of Cell biology, Duke University, Durham, North Carolina 27710, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22596160" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Apoptosis/genetics ; Cell Proliferation ; Chromosomes, Human, Pair 16/*genetics ; DNA Copy Number Variations/*genetics ; Gene Dosage/*genetics ; Gene Duplication/genetics ; Head/*abnormalities/embryology ; Humans ; Mice ; Microcephaly/*genetics ; Nuclear Proteins/*genetics/metabolism ; Organ Size/genetics ; *Phenotype ; RNA, Messenger/genetics/metabolism ; Sequence Deletion/genetics ; Transcription, Genetic ; Up-Regulation ; Zebrafish/abnormalities/embryology/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2009-04-25
    Description: To understand the biology and evolution of ruminants, the cattle genome was sequenced to about sevenfold coverage. The cattle genome contains a minimum of 22,000 genes, with a core set of 14,345 orthologs shared among seven mammalian species of which 1217 are absent or undetected in noneutherian (marsupial or monotreme) genomes. Cattle-specific evolutionary breakpoint regions in chromosomes have a higher density of segmental duplications, enrichment of repetitive elements, and species-specific variations in genes associated with lactation and immune responsiveness. Genes involved in metabolism are generally highly conserved, although five metabolic genes are deleted or extensively diverged from their human orthologs. The cattle genome sequence thus provides a resource for understanding mammalian evolution and accelerating livestock genetic improvement for milk and meat production.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943200/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943200/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bovine Genome Sequencing and Analysis Consortium -- Elsik, Christine G -- Tellam, Ross L -- Worley, Kim C -- Gibbs, Richard A -- Muzny, Donna M -- Weinstock, George M -- Adelson, David L -- Eichler, Evan E -- Elnitski, Laura -- Guigo, Roderic -- Hamernik, Debora L -- Kappes, Steve M -- Lewin, Harris A -- Lynn, David J -- Nicholas, Frank W -- Reymond, Alexandre -- Rijnkels, Monique -- Skow, Loren C -- Zdobnov, Evgeny M -- Schook, Lawrence -- Womack, James -- Alioto, Tyler -- Antonarakis, Stylianos E -- Astashyn, Alex -- Chapple, Charles E -- Chen, Hsiu-Chuan -- Chrast, Jacqueline -- Camara, Francisco -- Ermolaeva, Olga -- Henrichsen, Charlotte N -- Hlavina, Wratko -- Kapustin, Yuri -- Kiryutin, Boris -- Kitts, Paul -- Kokocinski, Felix -- Landrum, Melissa -- Maglott, Donna -- Pruitt, Kim -- Sapojnikov, Victor -- Searle, Stephen M -- Solovyev, Victor -- Souvorov, Alexandre -- Ucla, Catherine -- Wyss, Carine -- Anzola, Juan M -- Gerlach, Daniel -- Elhaik, Eran -- Graur, Dan -- Reese, Justin T -- Edgar, Robert C -- McEwan, John C -- Payne, Gemma M -- Raison, Joy M -- Junier, Thomas -- Kriventseva, Evgenia V -- Eyras, Eduardo -- Plass, Mireya -- Donthu, Ravikiran -- Larkin, Denis M -- Reecy, James -- Yang, Mary Q -- Chen, Lin -- Cheng, Ze -- Chitko-McKown, Carol G -- Liu, George E -- Matukumalli, Lakshmi K -- Song, Jiuzhou -- Zhu, Bin -- Bradley, Daniel G -- Brinkman, Fiona S L -- Lau, Lilian P L -- Whiteside, Matthew D -- Walker, Angela -- Wheeler, Thomas T -- Casey, Theresa -- German, J Bruce -- Lemay, Danielle G -- Maqbool, Nauman J -- Molenaar, Adrian J -- Seo, Seongwon -- Stothard, Paul -- Baldwin, Cynthia L -- Baxter, Rebecca -- Brinkmeyer-Langford, Candice L -- Brown, Wendy C -- Childers, Christopher P -- Connelley, Timothy -- Ellis, Shirley A -- Fritz, Krista -- Glass, Elizabeth J -- Herzig, Carolyn T A -- Iivanainen, Antti -- Lahmers, Kevin K -- Bennett, Anna K -- Dickens, C Michael -- Gilbert, James G R -- Hagen, Darren E -- Salih, Hanni -- Aerts, Jan -- Caetano, Alexandre R -- Dalrymple, Brian -- Garcia, Jose Fernando -- Gill, Clare A -- Hiendleder, Stefan G -- Memili, Erdogan -- Spurlock, Diane -- Williams, John L -- Alexander, Lee -- Brownstein, Michael J -- Guan, Leluo -- Holt, Robert A -- Jones, Steven J M -- Marra, Marco A -- Moore, Richard -- Moore, Stephen S -- Roberts, Andy -- Taniguchi, Masaaki -- Waterman, Richard C -- Chacko, Joseph -- Chandrabose, Mimi M -- Cree, Andy -- Dao, Marvin Diep -- Dinh, Huyen H -- Gabisi, Ramatu Ayiesha -- Hines, Sandra -- Hume, Jennifer -- Jhangiani, Shalini N -- Joshi, Vandita -- Kovar, Christie L -- Lewis, Lora R -- Liu, Yih-Shin -- Lopez, John -- Morgan, Margaret B -- Nguyen, Ngoc Bich -- Okwuonu, Geoffrey O -- Ruiz, San Juana -- Santibanez, Jireh -- Wright, Rita A -- Buhay, Christian -- Ding, Yan -- Dugan-Rocha, Shannon -- Herdandez, Judith -- Holder, Michael -- Sabo, Aniko -- Egan, Amy -- Goodell, Jason -- Wilczek-Boney, Katarzyna -- Fowler, Gerald R -- Hitchens, Matthew Edward -- Lozado, Ryan J -- Moen, Charles -- Steffen, David -- Warren, James T -- Zhang, Jingkun -- Chiu, Readman -- Schein, Jacqueline E -- Durbin, K James -- Havlak, Paul -- Jiang, Huaiyang -- Liu, Yue -- Qin, Xiang -- Ren, Yanru -- Shen, Yufeng -- Song, Henry -- Bell, Stephanie Nicole -- Davis, Clay -- Johnson, Angela Jolivet -- Lee, Sandra -- Nazareth, Lynne V -- Patel, Bella Mayurkumar -- Pu, Ling-Ling -- Vattathil, Selina -- Williams, Rex Lee Jr -- Curry, Stacey -- Hamilton, Cerissa -- Sodergren, Erica -- Wheeler, David A -- Barris, Wes -- Bennett, Gary L -- Eggen, Andre -- Green, Ronnie D -- Harhay, Gregory P -- Hobbs, Matthew -- Jann, Oliver -- Keele, John W -- Kent, Matthew P -- Lien, Sigbjorn -- McKay, Stephanie D -- McWilliam, Sean -- Ratnakumar, Abhirami -- Schnabel, Robert D -- Smith, Timothy -- Snelling, Warren M -- Sonstegard, Tad S -- Stone, Roger T -- Sugimoto, Yoshikazu -- Takasuga, Akiko -- Taylor, Jeremy F -- Van Tassell, Curtis P -- Macneil, Michael D -- Abatepaulo, Antonio R R -- Abbey, Colette A -- Ahola, Virpi -- Almeida, Iassudara G -- Amadio, Ariel F -- Anatriello, Elen -- Bahadue, Suria M -- Biase, Fernando H -- Boldt, Clayton R -- Carroll, Jeffery A -- Carvalho, Wanessa A -- Cervelatti, Eliane P -- Chacko, Elsa -- Chapin, Jennifer E -- Cheng, Ye -- Choi, Jungwoo -- Colley, Adam J -- de Campos, Tatiana A -- De Donato, Marcos -- Santos, Isabel K F de Miranda -- de Oliveira, Carlo J F -- Deobald, Heather -- Devinoy, Eve -- Donohue, Kaitlin E -- Dovc, Peter -- Eberlein, Annett -- Fitzsimmons, Carolyn J -- Franzin, Alessandra M -- Garcia, Gustavo R -- Genini, Sem -- Gladney, Cody J -- Grant, Jason R -- Greaser, Marion L -- Green, Jonathan A -- Hadsell, Darryl L -- Hakimov, Hatam A -- Halgren, Rob -- Harrow, Jennifer L -- Hart, Elizabeth A -- Hastings, Nicola -- Hernandez, Marta -- Hu, Zhi-Liang -- Ingham, Aaron -- Iso-Touru, Terhi -- Jamis, Catherine -- Jensen, Kirsty -- Kapetis, Dimos -- Kerr, Tovah -- Khalil, Sari S -- Khatib, Hasan -- Kolbehdari, Davood -- Kumar, Charu G -- Kumar, Dinesh -- Leach, Richard -- Lee, Justin C-M -- Li, Changxi -- Logan, Krystin M -- Malinverni, Roberto -- Marques, Elisa -- Martin, William F -- Martins, Natalia F -- Maruyama, Sandra R -- Mazza, Raffaele -- McLean, Kim L -- Medrano, Juan F -- Moreno, Barbara T -- More, Daniela D -- Muntean, Carl T -- Nandakumar, Hari P -- Nogueira, Marcelo F G -- Olsaker, Ingrid -- Pant, Sameer D -- Panzitta, Francesca -- Pastor, Rosemeire C P -- Poli, Mario A -- Poslusny, Nathan -- Rachagani, Satyanarayana -- Ranganathan, Shoba -- Razpet, Andrej -- Riggs, Penny K -- Rincon, Gonzalo -- Rodriguez-Osorio, Nelida -- Rodriguez-Zas, Sandra L -- Romero, Natasha E -- Rosenwald, Anne -- Sando, Lillian -- Schmutz, Sheila M -- Shen, Libing -- Sherman, Laura -- Southey, Bruce R -- Lutzow, Ylva Strandberg -- Sweedler, Jonathan V -- Tammen, Imke -- Telugu, Bhanu Prakash V L -- Urbanski, Jennifer M -- Utsunomiya, Yuri T -- Verschoor, Chris P -- Waardenberg, Ashley J -- Wang, Zhiquan -- Ward, Robert -- Weikard, Rosemarie -- Welsh, Thomas H Jr -- White, Stephen N -- Wilming, Laurens G -- Wunderlich, Kris R -- Yang, Jianqi -- Zhao, Feng-Qi -- 062023/Wellcome Trust/United Kingdom -- 077198/Wellcome Trust/United Kingdom -- BBS/B/13438/Biotechnology and Biological Sciences Research Council/United Kingdom -- BBS/B/13446/Biotechnology and Biological Sciences Research Council/United Kingdom -- P30 DA018310/DA/NIDA NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- U54 HG003273-04/HG/NHGRI NIH HHS/ -- U54 HG003273-04S1/HG/NHGRI NIH HHS/ -- U54 HG003273-05/HG/NHGRI NIH HHS/ -- U54 HG003273-05S1/HG/NHGRI NIH HHS/ -- U54 HG003273-05S2/HG/NHGRI NIH HHS/ -- U54 HG003273-06/HG/NHGRI NIH HHS/ -- U54 HG003273-06S1/HG/NHGRI NIH HHS/ -- U54 HG003273-06S2/HG/NHGRI NIH HHS/ -- U54 HG003273-07/HG/NHGRI NIH HHS/ -- U54 HG003273-08/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2009 Apr 24;324(5926):522-8. doi: 10.1126/science.1169588.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19390049" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing ; Animals ; Animals, Domestic ; *Biological Evolution ; Cattle ; Evolution, Molecular ; Female ; Genetic Variation ; *Genome ; Humans ; Male ; MicroRNAs/genetics ; Molecular Sequence Data ; Proteins/genetics ; Sequence Analysis, DNA ; Species Specificity ; Synteny
    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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  • 8
    Publication Date: 2014-08-29
    Description: The transcriptome is the readout of the genome. Identifying common features in it across distant species can reveal fundamental principles. To this end, the ENCODE and modENCODE consortia have generated large amounts of matched RNA-sequencing data for human, worm and fly. Uniform processing and comprehensive annotation of these data allow comparison across metazoan phyla, extending beyond earlier within-phylum transcriptome comparisons and revealing ancient, conserved features. Specifically, we discover co-expression modules shared across animals, many of which are enriched in developmental genes. Moreover, we use expression patterns to align the stages in worm and fly development and find a novel pairing between worm embryo and fly pupae, in addition to the embryo-to-embryo and larvae-to-larvae pairings. Furthermore, we find that the extent of non-canonical, non-coding transcription is similar in each organism, per base pair. Finally, we find in all three organisms that the gene-expression levels, both coding and non-coding, can be quantitatively predicted from chromatin features at the promoter using a 'universal model' based on a single set of organism-independent parameters.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4155737/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4155737/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gerstein, Mark B -- Rozowsky, Joel -- Yan, Koon-Kiu -- Wang, Daifeng -- Cheng, Chao -- Brown, James B -- Davis, Carrie A -- Hillier, LaDeana -- Sisu, Cristina -- Li, Jingyi Jessica -- Pei, Baikang -- Harmanci, Arif O -- Duff, Michael O -- Djebali, Sarah -- Alexander, Roger P -- Alver, Burak H -- Auerbach, Raymond -- Bell, Kimberly -- Bickel, Peter J -- Boeck, Max E -- Boley, Nathan P -- Booth, Benjamin W -- Cherbas, Lucy -- Cherbas, Peter -- Di, Chao -- Dobin, Alex -- Drenkow, Jorg -- Ewing, Brent -- Fang, Gang -- Fastuca, Megan -- Feingold, Elise A -- Frankish, Adam -- Gao, Guanjun -- Good, Peter J -- Guigo, Roderic -- Hammonds, Ann -- Harrow, Jen -- Hoskins, Roger A -- Howald, Cedric -- Hu, Long -- Huang, Haiyan -- Hubbard, Tim J P -- Huynh, Chau -- Jha, Sonali -- Kasper, Dionna -- Kato, Masaomi -- Kaufman, Thomas C -- Kitchen, Robert R -- Ladewig, Erik -- Lagarde, Julien -- Lai, Eric -- Leng, Jing -- Lu, Zhi -- MacCoss, Michael -- May, Gemma -- McWhirter, Rebecca -- Merrihew, Gennifer -- Miller, David M -- Mortazavi, Ali -- Murad, Rabi -- Oliver, Brian -- Olson, Sara -- Park, Peter J -- Pazin, Michael J -- Perrimon, Norbert -- Pervouchine, Dmitri -- Reinke, Valerie -- Reymond, Alexandre -- Robinson, Garrett -- Samsonova, Anastasia -- Saunders, Gary I -- Schlesinger, Felix -- Sethi, Anurag -- Slack, Frank J -- Spencer, William C -- Stoiber, Marcus H -- Strasbourger, Pnina -- Tanzer, Andrea -- Thompson, Owen A -- Wan, Kenneth H -- Wang, Guilin -- Wang, Huaien -- Watkins, Kathie L -- Wen, Jiayu -- Wen, Kejia -- Xue, Chenghai -- Yang, Li -- Yip, Kevin -- Zaleski, Chris -- Zhang, Yan -- Zheng, Henry -- Brenner, Steven E -- Graveley, Brenton R -- Celniker, Susan E -- Gingeras, Thomas R -- Waterston, Robert -- 1U01HG007031-01/HG/NHGRI NIH HHS/ -- 5U01HG004695-04/HG/NHGRI NIH HHS/ -- 5U54HG004555/HG/NHGRI NIH HHS/ -- HG007000/HG/NHGRI NIH HHS/ -- HG007355/HG/NHGRI NIH HHS/ -- K99 HG006698/HG/NHGRI NIH HHS/ -- P30 CA045508/CA/NCI NIH HHS/ -- R01 GM076655/GM/NIGMS NIH HHS/ -- RC2-HG005639/HG/NHGRI NIH HHS/ -- T15 LM007056/LM/NLM NIH HHS/ -- T32 HD060555/HD/NICHD NIH HHS/ -- U01 HG 004263/HG/NHGRI NIH HHS/ -- U01 HG004261/HG/NHGRI NIH HHS/ -- U01 HG004271/HG/NHGRI NIH HHS/ -- U01 HG007031/HG/NHGRI NIH HHS/ -- U01-HG004261/HG/NHGRI NIH HHS/ -- U01HG004258/HG/NHGRI NIH HHS/ -- U41 HG007000/HG/NHGRI NIH HHS/ -- U41 HG007234/HG/NHGRI NIH HHS/ -- U41 HG007355/HG/NHGRI NIH HHS/ -- U54 HG004555/HG/NHGRI NIH HHS/ -- U54 HG006944/HG/NHGRI NIH HHS/ -- U54 HG006994/HG/NHGRI NIH HHS/ -- U54 HG007004/HG/NHGRI NIH HHS/ -- U54 HG007005/HG/NHGRI NIH HHS/ -- U54HG007005/HG/NHGRI NIH HHS/ -- WT098051/Wellcome Trust/United Kingdom -- ZIA DK015600-18/Intramural NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Aug 28;512(7515):445-8. doi: 10.1038/nature13424.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [2] Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [3] Department of Computer Science, Yale University, 51 Prospect Street, New Haven, Connecticut 06511, USA [4] [5]. ; 1] Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [2] Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [3]. ; 1] Department of Genetics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire 03755, USA [2] Institute for Quantitative Biomedical Sciences, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire 03766, USA [3]. ; 1] Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA [2] Department of Statistics, University of California, Berkeley, 367 Evans Hall, Berkeley, California 94720-3860, USA [3]. ; 1] Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA [2]. ; 1] Department of Genome Sciences and University of Washington School of Medicine, William H. Foege Building S350D, 1705 Northeast Pacific Street, Box 355065 Seattle, Washington 98195-5065, USA [2]. ; 1] Department of Statistics, University of California, Berkeley, 367 Evans Hall, Berkeley, California 94720-3860, USA [2] Department of Statistics, University of California, Los Angeles, California 90095-1554, USA [3] Department of Human Genetics, University of California, Los Angeles, California 90095-7088, USA [4]. ; 1] Department of Genetics and Developmental Biology, Institute for Systems Genomics, University of Connecticut Health Center, 400 Farmington Avenue, Farmington, Connecticut 06030, USA [2]. ; 1] Centre for Genomic Regulation, Doctor Aiguader 88, 08003 Barcelona, Catalonia, Spain [2] Departament de Ciencies Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain [3]. ; 1] Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [2] Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA. ; Center for Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, Massachusetts 02115, USA. ; Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA. ; Department of Statistics, University of California, Berkeley, 367 Evans Hall, Berkeley, California 94720-3860, USA. ; Department of Genome Sciences and University of Washington School of Medicine, William H. Foege Building S350D, 1705 Northeast Pacific Street, Box 355065 Seattle, Washington 98195-5065, USA. ; 1] Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA [2] Department of Biostatistics, University of California, Berkeley, 367 Evans Hall, Berkeley, California 94720-3860, USA. ; Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA. ; 1] Department of Biology, Indiana University, 1001 East 3rd Street, Bloomington, Indiana 47405-7005, USA [2] Center for Genomics and Bioinformatics, Indiana University, 1001 East 3rd Street, Bloomington, Indiana 47405-7005, USA. ; MOE Key Lab of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China. ; National Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA. ; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK. ; 1] Centre for Genomic Regulation, Doctor Aiguader 88, 08003 Barcelona, Catalonia, Spain [2] Departament de Ciencies Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain. ; 1] Center for Integrative Genomics, University of Lausanne, Genopode building, Lausanne 1015, Switzerland [2] Swiss Institute of Bioinformatics, Genopode building, Lausanne 1015, Switzerland. ; 1] Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] Medical and Molecular Genetics, King's College London, London WC2R 2LS, UK. ; Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06520-8005, USA. ; Department of Molecular, Cellular and Developmental Biology, PO Box 208103, Yale University, New Haven, Connecticut 06520, USA. ; Department of Biology, Indiana University, 1001 East 3rd Street, Bloomington, Indiana 47405-7005, USA. ; Sloan-Kettering Institute, 1275 York Avenue, Box 252, New York, New York 10065, USA. ; 1] Department of Genetics and Developmental Biology, Institute for Systems Genomics, University of Connecticut Health Center, 400 Farmington Avenue, Farmington, Connecticut 06030, USA [2] Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213 USA. ; Department of Cell and Developmental Biology, Vanderbilt University, 465 21st Avenue South, Nashville, Tennessee 37232-8240, USA. ; 1] Developmental and Cell Biology, University of California, Irvine, California 92697, USA [2] Center for Complex Biological Systems, University of California, Irvine, California 92697, USA. ; Section of Developmental Genomics, Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Department of Genetics and Developmental Biology, Institute for Systems Genomics, University of Connecticut Health Center, 400 Farmington Avenue, Farmington, Connecticut 06030, USA. ; 1] Department of Genetics and Drosophila RNAi Screening Center, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, USA [2] Howard Hughes Medical Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, USA. ; Center for Integrative Genomics, University of Lausanne, Genopode building, Lausanne 1015, Switzerland. ; 1] Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SD, UK. ; 1] Bioinformatics and Genomics Programme, Center for Genomic Regulation, Universitat Pompeu Fabra (CRG-UPF), 08003 Barcelona, Catalonia, Spain [2] Institute for Theoretical Chemistry, Theoretical Biochemistry Group (TBI), University of Vienna, Wahringerstrasse 17/3/303, A-1090 Vienna, Austria. ; 1] Department of Genetics and Developmental Biology, Institute for Systems Genomics, University of Connecticut Health Center, 400 Farmington Avenue, Farmington, Connecticut 06030, USA [2] Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China. ; 1] Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong [2] 5 CUHK-BGI Innovation Institute of Trans-omics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong. ; 1] Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA [2] Department of Plant and Microbial Biology, University of California, Berkeley, California 94720, USA [3]. ; 1] Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA [2].〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25164755" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Caenorhabditis elegans/embryology/*genetics/growth & development ; Chromatin/genetics ; Cluster Analysis ; Drosophila melanogaster/*genetics/growth & development ; *Gene Expression Profiling ; Gene Expression Regulation, Developmental/genetics ; Histones/metabolism ; Humans ; Larva/genetics/growth & development ; Models, Genetic ; Molecular Sequence Annotation ; Promoter Regions, Genetic/genetics ; Pupa/genetics/growth & development ; RNA, Untranslated/genetics ; Sequence Analysis, RNA ; Transcriptome/*genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2021-07-21
    Description: Large benthic foraminifera are major carbonate components in tropical carbonate platforms, important carbonate producers, stratigraphic tools and powerful bioindicators (proxies) of environmental change. The application of large benthic foraminifera in tropical coral reef environments has gained considerable momentum in recent years. These modern ecological assessments are often carried out by micropalaeontologists or ecologists with expertise in the identification of foraminifera. However, large benthic foraminifera have been under‐represented in favour of macro reef‐builders, for example, corals and calcareous algae. Large benthic foraminifera contribute about 5% to modern reef‐scale carbonate sediment production. Their substantial size and abundance are reflected by their symbiotic association with the living algae inside their tests. When the foraminiferal holobiont (the combination between the large benthic foraminifera host and the microalgal photosymbiont) dies, the remaining calcareous test renourishes sediment supply, which maintains and stabilizes shorelines and low‐lying islands. Geological records reveal episodes (i.e. late Palaeocene and early Eocene epochs) of prolific carbonate production in warmer oceans than today, and in the absence of corals. This begs for deeper consideration of how large benthic foraminifera will respond under future climatic scenarios of higher atmospheric carbon dioxide (pCO2) and to warmer oceans. In addition, studies highlighting the complex evolutionary associations between large benthic foraminifera hosts and their algal photosymbionts, as well as to associated habitats, suggest the potential for increased tolerance to a wide range of conditions. However, the full range of environments where large benthic foraminifera currently dwell is not well‐understood in terms of present and future carbonate production, and impact of stressors. The evidence for acclimatization, at least by a few species of well‐studied large benthic foraminifera, under intensifying climate change and within degrading reef ecosystems, is a prelude to future host–symbiont resilience under different climatic regimes and habitats than today. This review also highlights knowledge gaps in current understanding of large benthic foraminifera as prolific calcium carbonate producers across shallow carbonate shelf and slope environments under changing ocean conditions.
    Description: Minerva Foundation http://dx.doi.org/10.13039/501100001658
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Keywords: 561 ; Bioindicators ; carbonate engineers ; climate change ; environmental stressors ; ocean acidification ; photosymbionts ; sea‐level rise ; water quality
    Type: article
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