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Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology. [PDF]
BMC BiolAlthough variation in effect sizes and predicted values among studies of similar phenomena is inevitable, such variation far exceeds what might be produced by sampling error alone. One possible explanation for variation among results is differences among Gould E, Fraser HS, Parker TH, Nakagawa S, Griffith SC, Vesk PA, Fidler F, Hamilton DG, Abbey-Lee RN, Abbott JK, Aguirre LA, Alcaraz C, Aloni I, Altschul D, Arekar K, Atkins JW, Atkinson J, Baker CM, Barrett M, Bell K, Bello SK, Beltrán I, Berauer BJ, Bertram MG, Billman PD, Blake CK, Blake S, Bliard L, Bonisoli-Alquati A, Bonnet T, Bordes CNM, Bose APH, Botterill-James T, Boyd MA, Boyle SA, Bradfer-Lawrence T, Bradham J, Brand JA, Brengdahl MI, Bulla M, Bussière L, Camerlenghi E, Campbell SE, Campos LLF, Caravaggi A, Cardoso P, Carroll CJW, Catanach TA, Chen X, Chik HYJ, Choy ES, Christie AP, Chuang A, Chunco AJ, Clark BL, Contina A, Covernton GA, Cox MP, Cressman KA, Crotti M, Crouch CD, D'Amelio PB, de Sousa AA, Döbert TF, Dobler R, Dobson AJ, Doherty TS, Drobniak SM, Duffy AG, Duncan AB, Dunn RP, Dunning J, Dutta T, Eberhart-Hertel L, Elmore JA, Elsherif MM, English HM, Ensminger DC, Ernst UR, Ferguson SM, Fernandez-Juricic E, Ferreira-Arruda T, Fieberg J, Finch EA, Fiorenza EA, Fisher DN, Fontaine A, Forstmeier W, Fourcade Y, Frank GS, Freund CA, Fuentes-Lillo E, Gandy SL, Gannon DG, García-Cervigón AI, Garretson AC, Ge X, Geary WL, Géron C, Gilles M, Girndt A, Gliksman D, Goldspiel HB, Gomes DGE, Good MK, Goslee SC, Gosnell JS, Grames EM, Gratton P, Grebe NM, Greenler SM, Griffioen M, Griffith DM, Griffith FJ, Grossman JJ, Güncan A, Haesen S, Hagan JG, Hager HA, Harris JP, Harrison ND, Hasnain SS, Havird JC, Heaton AJ, Herrera-Chaustre ML, Howard TJ, Hsu BY, Iannarilli F, Iranzo EC, Iverson ENK, Jimoh SO, Johnson DH, Johnsson M, Jorna J, Jucker T, Jung M, Kačergytė I, Kaltz O, Ke A, Kelly CD, Keogan K, Keppeler FW, Killion AK, Kim D, Kochan DP, Korsten P, Kothari S, Kuppler J, Kusch JM, Lagisz M, Lalla KM, Larkin DJ, Larson CL, Lauck KS, Lauterbur ME, Law A, Léandri-Breton DJ, Lembrechts JJ, L'Herpiniere K, Lievens EJP, de Lima DO, Lindsay S, Luquet M, MacLeod R, Macphie KH, Magellan K, Mair MM, Malm LE, Mammola S, Mandeville CP, Manhart M, Manrique-Garzon LM, Mäntylä E, Marchand P, Marshall BM, Martin CA, Martin DA, Martin JM, Martinig AR, McCallum ES, McCauley M, McNew SM, Meiners SJ, Merkling T, Michelangeli M, Moiron M, Moreira B, Mortensen J, Mos B, Muraina TO, Murphy PW, Nelli L, Niemelä P, Nightingale J, Nilsonne G, Nolazco S, Nooten SS, Novotny JL, Olin AB, Organ CL, Ostevik KL, Palacio FX, Paquet M, Parker DJ, Pascall DJ, Pasquarella VJ, Paterson JH, Payo-Payo A, Pedersen KM, Perez G, Perry KI, Pottier P, Proulx MJ, Proulx R, Pruett JL, Ramananjato V, Randimbiarison FT, Razafindratsima OH, Rennison DJ, Riva F, Riyahi S, Roast MJ, Rocha FP, Roche DG, Román-Palacios C, Rosenberg MS, Ross J, Rowland FE, Rugemalila D, Russell AL, Ruuskanen S, Saccone P, Sadeh A, Salazar SM, Sales K, Salmón P, Sánchez-Tójar A, Santos LP, Santostefano F, Schilling HT, Schmidt M, Schmoll T, Schneider AC, Schrock AE, Schroeder J, Schtickzelle N, Schultz NL, Scott DA, Scroggie MP, Shapiro JT, Sharma N, Shearer CL, Simón D, Sitvarin MI, Skupien FL, Slinn HL, Smith GP, Smith JA, Sollmann R, Whitney KS, Still SM, Stuber EF, Sutton GF, Swallow B, Taff CC, Takola E, Tanentzap AJ, Tarjuelo R, Telford RJ, Thawley CJ, Thierry H, Thomson J, Tidau S, Tompkins EM, Tortorelli CM, Trlica A, Turnell BR, Urban L, Van de Vondel S, van der Wal JEM, Van Eeckhoven J, van Oordt F, Vanderwel KM, Vanderwel MC, Vanderwolf KJ, Vélez J, Vergara-Florez DC, Verrelli BC, Vieira MV, Villamil N, Vitali V, Vollering J, Walker J, Walker XJ, Walter JA, Waryszak P, Weaver RJ, Wedegärtner REM, Weller DL, Whelan S, White RL, Wolfson DW, Wood A, Yanco SW, Yen JDL, Youngflesh C, Zilio G, Zimmer C, Zimmerman GM, Zitomer RA. +309 moreeuropepmc +2 more sourcesComplete mitochondrial genomes provide current refined phylogenomic hypotheses for relationships among ten Hirundo species
Mitochondrial DNA. Part B. Resources, 2020 Hirundo is the most species-rich genus of the passerine swallow family (Hirundinidae) and has a cosmopolitan distribution. Here we report the complete, annotated mitochondrial genomes for 25 individuals from 10 of the 14 extant Hirundo species; these ...Javan K. Carter, Peter Innes, April M. Goebl, Benjamin Johnson, Matthew Gebert, Ziv Attia, Zachariah Gabani, Ruiqi Li, Tina Melie, Chiara Dart, Ali Mares, Chrisopher Greidanus, Jaime Paterson, Brianna Wall, Gabriela Cortese, Kevin Thirouin, Gabrielle Glime, Joseph Rutten, Cameron Poyd, Erin Post, Brianna Wall, Ahmed A. Elhadi, Katherine Feldmann, August Danz, Thomas Blanchard, Samantha Amato, Stephan Reinert, Cloe S. Pogoda, Elizabeth S. C. Scordato, Amanda K. Hund, Rebecca J. Safran, Nolan C. Kane +31 moredoaj +1 more sourceComparative analysis of morabine grasshopper genomes reveals highly abundant transposable elements and rapidly proliferating satellite DNA repeats
BMC Biology, 2020 Background Repetitive DNA sequences, including transposable elements (TEs) and tandemly repeated satellite DNA (satDNAs), collectively called the “repeatome”, are found in high proportion in organisms across the Tree of Life.Octavio M. Palacios-Gimenez, Julia Koelman, Marc Palmada-Flores, Tessa M. Bradford, Karl K. Jones, Steven J. B. Cooper, Takeshi Kawakami, Alexander Suh +7 moredoaj +1 more sourceThe use of telomere length in ecology and evolutionary biology [PDF]
Heredity, 2010 The measurement of telomere length (TL) is a genetic tool that is beginning to be employed widely in ecological and evolutionary studies as marker of age and fitness. The adoption of this approach has been accelerated by the development of telomere quantitative PCR, which enables the screening of large numbers of samples with little effort.T, Horn, B C, Robertson, N J, Gemmellopenaire +2 more sourcesThe microbiome extends host evolutionary potential
Nature Communications, 2021 The microbiome is becoming recognized as a key determinant of host phenotype. Here, Henry et al. present a framework for building our understanding of how the microbiome also influences host evolution, review empirical examples and research approaches ...Lucas P. Henry, Marjolein Bruijning, Simon K. G. Forsberg, Julien F. Ayroles +3 moredoaj +1 more sourceIs bigger better? The relationship between size and reproduction in female Asian elephants [PDF]
, 2022 The limited availability of resources is predicted to impose trade-offs
between growth, reproduction and self-maintenance in animals. However,
although some studies have shown that early reproduction suppresses
growth, reproduction positively ...K.U. Mar, S.N. Chapman, W. HTut, H.H. Aung, M. Lahdenperä, J.A.H. Crawley, A. Thura Soe, V. Lummaa, H.S. Mumby +8 morecore +1 more sourceThe Collection of Zoosporic Eufungi at the University of Michigan (CZEUM): introducing a new repository of barcoded Chytridiomyceta and Blastocladiomycota cultures
IMA Fungus, 2020 We formed the Collection of Zoosporic Eufungi at the University of Michigan (CZEUM) in 2018 as a cryopreserved fungal collection consolidating the University of Maine Culture Collection (UMCC, or JEL), the University of Alabama Chytrid Culture Collection D. Rabern Simmons, Anne E. Bonds, Buck T. Castillo, Rebecca A. Clemons, Alex D. Glasco, Jillian M. Myers, Natasha Thapa, Peter M. Letcher, Martha J. Powell, Joyce E. Longcore, Timothy Y. James +10 moredoaj +1 more source