ライフサイエンスコーパス: die-off

1 on and causes lethal immune system collapse (die-off).

2 duction and on day 9 when animals started to die off.

3 es in the extent and frequency of vegetation die-off.

4 surveys confirmed the general extent of the die-off.

5 al variables impacting on E. coli growth and die-off.

6 Here, we quantify regional-scale vegetation die-off across southwestern North American woodlands in

7 Pinyon die-off and its relationship with precipitation was quan

8 on, indicating that large motor neurons were dying off and shrinking in the process.

9 ght impacts on forests, including widespread die-off, are likely to increase with future climate chan

10 Sesarma functional density and herbivory in die-off areas and Sesarma exhibit a generic avoidance re

11 Survey of marsh die-off areas in three states revealed high-density fron

12 ring nitrate photolysis in promoting E. coli die-off as a function of extracellular polymeric substan

13 We tested the hypothesis that Treg may die off at early stages of infection, when virus-induced

14 that predator depletion can cause salt marsh die-off by releasing the herbivorous crab Sesarma reticu

15 apes are rapidly being transformed by forest die-off caused by mountain pine beetle (Dendroctonus pon

16 ico with standard field plot measurements of die-off combined with canopy cover derived from normaliz

17 Forest die-off constitutes a large uncertainty in projections o

18 After more than three decades of die-off, cordgrass is recovering at heavily damaged site

19 reme sensitivity to cobalt limitation, rapid die-off during stationary phase, and altered succinoglyc

20 Evaluation of the die-off dynamics of E. coli revealed that a treatment mi

21 r these disturbances, snail fronts formed on die-off edges and subsequently propagated through health

22 es revealed high-density fronts of snails on die-off edges at 11 of 12 sites.

23 e explore precipitation relationships with a die-off event of pinyon pine (Pinus edulis Engelm.) in s

24 emperatures have exacerbated recent regional die-off events and background mortality rates.

25 Recent regional tree die-off events appear to have been triggered by a combin

26 ease in the frequency of regional-scale tree die-off events for this species due to temperature alone

27 limited, available observations suggest that die-off from the recent drought was more extensive than

28 s a dead relic of a gene that has completely died off in the human lineage.

29 standing of the conditions in which biphasic die-off is expected.

30 Climate-induced forest die-off is widespread in multiple biomes, strongly affec

31 Recently, widespread pinon pine die-off occurred in the southwestern United States.

32 Extensive die off of terminal branches occurs during the first sev

33 e of cyanobacterial sequences and a dramatic die-off of algae within the artificial streams.

34 freshwater strain, type IVb, caused a large die-off of freshwater drum (Aplodinotus grunniens) in La

35 a trigger leading to rapid, drought-induced die-off of overstory woody plants at subcontinental scal

36 consequences stemming from a rapid and major die-off of rooted plant life in the basin.

37 ity collapse was characterized by a complete die-off of the foundation species and the dispersal of a

38 gical basis of a recent multiyear widespread die-off of trembling aspen (Populus tremuloides) across

39 ons suggests that a catastrophic terrestrial die-off of vegetation was a global event, producing a ma

40 hat X4 viruses were lost in two ways: by the dying off of an established X4 lineage or by mutation ba

41 h it is immersed, generating fluid flow that dies off on a length scale comparable to the size of the

42 ted States have recently experienced massive die-off, one of many examples of widespread degradation

43 ation, with most E. coli activity (as either die-off or growth) occurring at low dry matter content.

44 Pinyon die-off patterns revealed threshold responses to precipi

45 tation models poorly represent recent forest die-off patterns.

46 ality, an evaluation of how patterns of tree die-off relate to highly spatially variable precipitatio

47 tential extent of drought-induced vegetation die-off remain pivotal uncertainties in assessing climat

48 on patterns within a region influence pinyon die-off, revealing a precipitation and VPD threshold for

49 owever, the spatial and temporal dynamics of die-off risk are poorly understood.

50 nd die-off risk vary with body mass; and how die-off risk is affected by climate warming.

51 pidly lethal dehydration occurs; how EWL and die-off risk vary with body mass; and how die-off risk i

52 In some RP cases, rods and cones die off simultaneously or even cone death precedes rod d

53 important factor contributing to the massive die-off (tens of km(2)) of salt marshes across the south

54 l scale and highlight the potential for such die-off to be more severe and extensive for future globa

55 read aspen forest mortality, link this aspen die-off to regional climate change trends, and provide i

56 The die-off was reflected in changes in a remotely sensed in

57 t is thought to be the primary cause of this die-off, we found snail grazing to be a major contributi

58 echanistic modeling and prediction of forest die-off with climate change.