Evidence map›Paper›PMID 35473372›Full record

ArticleProceedings. Biological sciences2022

Profiling, monitoring and conserving caterpillar fungus in the Himalayan region using anchored hybrid enrichment markers.

Zhengyang Wang, Wa Da, Chandra Singh Negi, Puspa Lal Ghimire, Karma Wangdi, Pramod K Yadav, Zhuoma Pubu, Laiku Lama, Kuenga Yarpel, Sarah C Maunsell and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 9 institutions in 4 countries.

Zhengyang WangDepartment of Organismic and Evolutionary Biology and Museum of Comparative Zoology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA.ORCID 0000-0003-3244-1954
Wa DaTibetan Plateau Institute of Biology, Tibet Autonomous Region, Lhasa 850001, People's Republic of China.
Chandra Singh NegiDepartment of Zoology, M B Government Postgraduate College, Haldwani (Nainital) 263139, Uttarakhand, India.
Puspa Lal GhimireAsia Network for Sustainable Agriculture and Bioresources (ANSAB), Baneshwor, Kathmandu, Nepal.
Karma WangdiUgyen Wangchuck Institute for Conservation and Environmental Research, Lamai Goempa, Bumthang, Jakar 32001, Bhutan.
Pramod K YadavDepartment of Parks, Recreation, and Tourism Management, Clemson University, Clemson, SC 29634-0735, USA.
Zhuoma PubuTibetan Plateau Institute of Biology, Tibet Autonomous Region, Lhasa 850001, People's Republic of China.
Laiku LamaHimalayan Herbs Traders, Baluwatar-4 Bagta Marga 161, Kathmandu, Nepal.
Kuenga YarpelChangzeeri, Thimphu 11001, Bhutan.
Sarah C MaunsellDepartment of Organismic and Evolutionary Biology and Museum of Comparative Zoology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA.
Yong LiuInstitute of Plant Protection, Sichuan Academy of Agricultural Sciences, Chengdu 610066, People's Republic of China.
Krushnamegh KunteNational Centre for Biological Sciences, Tata Institute of Fundamental Research, Bengaluru 560065, India.ORCID 0000-0002-3860-6118
Kamaljit S BawaUniversity of Massachusetts, Boston, MA 02125, USA.
Darong YangXishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan 666303, People's Republic of China.
Naomi E PierceDepartment of Organismic and Evolutionary Biology and Museum of Comparative Zoology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA.ORCID 0000-0003-3366-1625
Harvard University · USTibet Autonomous Region People's Hospital · CNAsia Network for Sustainable Agriculture and Bioresources · NPChinese Academy of Sciences · CNClemson University · USGovernment Medical College · INInstitute of Plant Protection · CNTata Institute of Fundamental Research · INUniversity of Massachusetts Boston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The collection of caterpillar fungus accounts for 50-70% of the household income of thousands of Himalayan communities and has an estimated market value of $5-11 billion across Asia. However, Himalayan collectors are at multiple economic disadvantages compared with collectors on the Tibetan Plateau because their product is not legally recognized. Using a customized hybrid-enrichment probe set and market-grade caterpillar fungus (with samples up to 30 years old) from 94 production zones across Asia, we uncovered clear geography-based signatures of historical dispersal and significant isolation-by-distance among caterpillar fungus hosts. This high-throughput approach can readily distinguish samples from major production zones with definitive geographical resolution, especially for samples from the Himalayan region that form monophyletic clades in our analysis. Based on these results, we propose a two-step procedure to help local communities authenticate their produce and improve this multi-national trade-route without creating opportunities for illegal exports and other forms of economic exploitation. We argue that policymakers and conservation practitioners must encourage the fair trade of caterpillar fungus in addition to sustainable harvesting to support a trans-boundary conservation effort that is much needed for this natural commodity in the Himalayan region.

Indexed as

FungiAsiaGeographycaterpillar fungus trademolecular reference libraryOphiocordyceps sinensisphylogenyThitarodestrans-boundary conservation

Identifiers

PMID35473372
PMCPMC9043734
OpenAlexW4225004002

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.