Keyword search (4,163 papers available)

"Biomass" Keyword-tagged Publications:

Title Authors PubMed ID
1 eDNA Provides Accurate Population Abundance Estimates With Bioenergetics and Particle Mass-Balance Modelling Beaulieu J; Yates MC; Fraser DJ; Cristescu ME; Derry AM; 41913704
BIOLOGY
2 Fortifying the Rasamsonia emersonii secretome with recombinant cellobiohydrolase (GH7) for efficient biomass saccharification Raheja Y; Singh V; Gaur VK; Sharma G; Tsang A; Chadha BS; 40622460
GENOMICS
3 Production and characterization of magnetic Biochar derived from pyrolysis of waste areca nut husk for removal of methylene blue dye from wastewater Chistie SM; Naik SU; Rajendra P; Apeksha None; Mishra RK; Albasher G; Chinnam S; Jeppu GP; Arif Z; Hameed J; 40603323
ENCS
4 Evaluating Sustainable Practices for Managing Residue Derived from Wheat Straw Shanmugam H; Raghavan V; Rajagopal R; Goyette B; Lyu L; Zhou S; An C; 38927790
ENCS
5 Diverse Applications of Biomass-Derived 5-Hydroxymethylfurfural and Derivatives as Renewable Starting Materials Chacón-Huete F; Messina C; Cigana B; Forgione P; 35652539
CHEMBIOCHEM
6 Screening of novel fungal Carbohydrate Esterase family 1 enzymes identifies three novel dual feruloyl/acetyl xylan esterases Dilokpimol A; Verkerk B; Li X; Bellemare A; Lavallee M; Frommhagen M; Nørmølle Underlin E; Kabel MA; Powlowski J; Tsang A; de Vries RP; 35187647
CSFG
7 Species compositions mediate biomass conservation: the case of lake fish communities Arranz I; Fournier B; Lester NP; Shuter BJ; Peres-Neto PR; 34905222
BIOLOGY
8 Use of biomass-derived adsorbents for the removal of petroleum pollutants from water: a mini-review Vahabisani A; An C; 34804763
ENCS
9 The relationship between eDNA particle concentration and organism abundance in nature is strengthened by allometric scaling. Yates MC, Glaser D, Post J, Cristescu ME, Fraser DJ, Derry AM 32638451
CONCORDIA
10 Penicillium subrubescens adapts its enzyme production to the composition of plant biomass. Dilokpimol A, Peng M, Di Falco M, Chin A Woeng T, Hegi RMW, Granchi Z, Tsang A, Hildén KS, Mäkelä MR, de Vries RP 32408196
CSFG
11 Evidence for ligninolytic activity of the ascomycete fungus Podospora anserina. van Erven G, Kleijn AF, Patyshakuliyeva A, Di Falco M, Tsang A, de Vries RP, van Berkel WJH, Kabel MA 32322305
CSFG
12 Enzymes of early-diverging, zoosporic fungi. Lange L, Barrett K, Pilgaard B, Gleason F, Tsang A 31309267
CSFG
13 Pilot-scale application of a single-stage hybrid airlift BioCAST bioreactor for treatment of ammonium from nitrite-limited wastewater by a partial nitrification/anammox process. Saborimanesh N, Walsh D, Yerushalmi L, Arriagada EC, Mulligan CN 31267396
BIOLOGY
14 Transcriptome and exoproteome analysis of utilization of plant-derived biomass by Myceliophthora thermophila. Kolbusz MA, Di Falco M, Ishmael N, Marqueteau S, Moisan MC, Baptista CDS, Powlowski J, Tsang A 24881579
BIOLOGY
15 Closely related fungi employ diverse enzymatic strategies to degrade plant biomass. Benoit I, Culleton H, Zhou M, DiFalco M, Aguilar-Osorio G, Battaglia E, Bouzid O, Brouwer CPJM, El-Bushari HBO, Coutinho PM, Gruben BS, Hildén KS, Houbraken J, Barboza LAJ, Levasseur A, Majoor E, Mäkelä MR, Narang HM, Trejo-Aguilar B, van den Brink J, vanKuyk PA, Wiebenga A, McKie V, McCleary B, Tsang A, Henrissat B, de Vries RP 26236396
CSFG
16 Expression-based clustering of CAZyme-encoding genes of Aspergillus niger. Gruben BS, Mäkelä MR, Kowalczyk JE, Zhou M, Benoit-Gelber I, De Vries RP 29169319
CSFG
17 Genomic and exoproteomic diversity in plant biomass degradation approaches among Aspergilli Mäkelä MR; DiFalco M; McDonnell E; Nguyen TTM; Wiebenga A; Hildén K; Peng M; Grigoriev IV; Tsang A; de Vries RP; 30487660
CSFG
18 The presence of trace components significantly broadens the molecular response of Aspergillus niger to guar gum. Coconi Linares N, Di Falco M, Benoit-Gelber I, Gruben BS, Peng M, Tsang A, Mäkelä MR, de Vries RP 30797054
CSFG

 

Title:The relationship between eDNA particle concentration and organism abundance in nature is strengthened by allometric scaling.
Authors:Yates MCGlaser DPost JCristescu MEFraser DJDerry AM
Link:https://www.ncbi.nlm.nih.gov/pubmed/32638451?dopt=Abstract
DOI:10.1111/mec.15543
Publication:Molecular ecology
Keywords:abundanceallometric scalingallometrybiomassdensityeDNAenvironmental DNA
PMID:32638451 Category:Mol Ecol Date Added:2020-07-09
Dept Affiliation: CONCORDIA
1 Université du Québec à Montréal, Montréal, Québec, Canada.
2 University of Calgary Calgary, Alberta, Canada.
3 McGill University Montreal, Quebec, Canada.
4 Concordia University Montreal, Quebec, Canada.

Description:

The relationship between eDNA particle concentration and organism abundance in nature is strengthened by allometric scaling.

Mol Ecol. 2020 Jul 07;:

Authors: Yates MC, Glaser D, Post J, Cristescu ME, Fraser DJ, Derry AM

Abstract

Organism abundance is a critical parameter in ecology, but its estimation is often challenging. Approaches utilizing eDNA to indirectly estimate abundance have recently generated substantial interest. However, preliminary correlations observed between eDNA concentration and abundance in nature are typically moderate in strength with significant unexplained variation. Here we apply a novel approach to integrate allometric scaling coefficients into models of eDNA concentration and organism abundance. We hypothesize that eDNA particle production scales non-linearly with mass, with scaling coefficients < 1. Wild populations often exhibit substantial variation in individual body size distributions; we therefore predict that the distribution of mass across individuals within a population will influence population-level eDNA production rates. To test our hypothesis, we collected standardized body size distribution and mark-recapture abundance data using whole-lake experiments involving nine populations of brook trout. We correlated eDNA concentration with three metrics of abundance: density (individuals/ha), biomass (kg/ha), and allometrically scaled mass (ASM) (?(individual mass0.73 )/ha). Density and biomass were both significantly positively correlated with eDNA concentration (adj. r2 = 0.59 and 0.63, respectively), but ASM exhibited improved model fit (adj. r2 = 0.78). We also demonstrate how estimates of ASM derived from eDNA samples in 'unknown' systems can be converted to biomass or density estimates with additional size structure data. Future experiments should empirically validate allometric scaling coefficients for eDNA production, particularly where substantial intraspecific size distribution variation exists. Incorporating allometric scaling may improve predictive models to the extent that eDNA concentration may become a reliable indicator of abundance in nature.

PMID: 32638451 [PubMed - as supplied by publisher]





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