Evidence map›Paper›PMID 35849070›Full record

ArticleAnnals of botany2022

Leaf trait covariation and controls on leaf mass per area (LMA) following cotton domestication.

Zhangying Lei, Andrea C Westerband, Ian J Wright, Yang He, Wangfeng Zhang, Xiaoyan Cai, Zhongli Zhou, Fang Liu, Yali Zhang

Abstract read
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Article in Annals of botany, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zhangying LeiKey Laboratory of Oasis Eco-agriculture, Xinjiang Production and Construction Corps, Shihezi University, Shihezi, P.R. China.
Andrea C WesterbandSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, North Ryde, NSW, Australia.
Ian J WrightSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, North Ryde, NSW, Australia.
Yang HeKey Laboratory of Oasis Eco-agriculture, Xinjiang Production and Construction Corps, Shihezi University, Shihezi, P.R. China.
Wangfeng ZhangKey Laboratory of Oasis Eco-agriculture, Xinjiang Production and Construction Corps, Shihezi University, Shihezi, P.R. China.
Xiaoyan CaiState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, P.R. China.
Zhongli ZhouState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, P.R. China.
Fang LiuState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, P.R. China.
Yali ZhangKey Laboratory of Oasis Eco-agriculture, Xinjiang Production and Construction Corps, Shihezi University, Shihezi, P.R. China.ORCID 0000-0003-2060-7072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe process of domestication has driven dramatic shifts in plant functional traits, including leaf mass per area (LMA). It remains unclear whether domestication has produced concerted shifts in the lower-level anatomical traits that underpin LMA and how these traits in turn affect photosynthesis.

methodsIn this study we investigated controls of LMA and leaf gas exchange by leaf anatomical properties at the cellular, tissue and whole-leaf levels, comparing 26 wild and 31 domesticated genotypes of cotton (Gossypium). KEY

resultsAs expected, domesticated plants expressed lower LMA, higher photosynthesis and higher stomatal conductance, suggesting a shift towards the 'faster' end of the leaf economics spectrum. At whole-leaf level, variation in LMA was predominantly determined by leaf density (LD) both in wild and domesticated genotypes. At tissue level, higher leaf volume per area (Vleaf) in domesticated genotypes was driven by a simultaneous increase in the volume of epidermal, mesophyll and vascular bundle tissue and airspace, while lower LD resulted from a lower volume of palisade tissue and vascular bundles (which are of high density), paired with a greater volume of epidermis and airspace, which are of low density. The volume of spongy mesophyll exerted direct control on photosynthesis in domesticated genotypes but only indirect control in wild genotypes. At cellular level, a shift to larger but less numerous cells with thinner cell walls underpinned a lower proportion of cell wall mass, and thus a reduction in LD.

conclusionsTaken together, cotton domestication has triggered synergistic shifts in the underlying determinants of LMA but also photosynthesis, at cell, tissue and whole-leaf levels, resulting in a marked shift in plant ecological strategy.

Indexed as

DomesticationGossypiumPhotosynthesisPlant LeavesPlantscottonDomesticationGossypiumleaf anatomyleaf economics spectrumleaf mass per areaplant ecology strategywild progenitorwild relatives

Identifiers

PMID35849070
PMCPMC9445596

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